Salt tolerant plants increase nitrogen removal from biofiltration systems affected by saline stormwater

Salt tolerant plants increase nitrogen removal from biofiltration systems affected by saline stormwater

Accepted Manuscript Salt tolerant plants increase nitrogen removal from biofiltration systems affected by saline stormwater Dr Christopher Szota, Clai...

3MB Sizes 2 Downloads 38 Views

Accepted Manuscript Salt tolerant plants increase nitrogen removal from biofiltration systems affected by saline stormwater Dr Christopher Szota, Claire Farrell, Stephen J. Livesley, Tim D. Fletcher PII:

S0043-1354(15)30074-9

DOI:

10.1016/j.watres.2015.06.024

Reference:

WR 11365

To appear in:

Water Research

Received Date: 10 April 2015 Revised Date:

7 June 2015

Accepted Date: 16 June 2015

Please cite this article as: Szota, C., Farrell, C., Livesley, S.J., Fletcher, T.D., Salt tolerant plants increase nitrogen removal from biofiltration systems affected by saline stormwater, Water Research (2015), doi: 10.1016/j.watres.2015.06.024. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

ACCEPTED MANUSCRIPT 1

Title

2

Salt tolerant plants increase nitrogen removal from biofiltration systems affected by saline

3

stormwater

4 Author names and affiliations

6

Christopher Szota1, Claire Farrell2, Stephen J. Livesley2 and Tim D. Fletcher1

RI PT

5

7 8

1

9

University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria, 3121, Australia

SC

Waterway Ecosystem Research Group, School of Ecosystem and Forest Sciences, The

10

2

11

University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria, 3121, Australia

M AN U

Green Infrastructure Research Group, School of Ecosystem and Forest Sciences, The

12 Corresponding author

14

Dr Christopher Szota

15

Waterway Ecosystem Research Group

16

School of Ecosystem and Forest Sciences

17

The University of Melbourne

18

500 Yarra Boulevard, Richmond, Victoria, 3121, Australia

19

Email: ([email protected])

20

Phone: (+61) 3 9035 6919

22 23 24 25

EP

AC C

21

TE D

13

ACCEPTED MANUSCRIPT Abstract

27

Biofiltration systems are used in urban areas to reduce the concentration and load of nutrient

28

pollutants and heavy metals entering waterways through stormwater runoff. Biofilters can,

29

however be exposed to salt water, through intrusion of seawater in coastal areas which could

30

decrease their ability to intercept and retain pollutants. We measured the effect of adding

31

saline stormwater on pollutant removal by six monocotyledonous species with different

32

levels of salt-tolerance. Carex appressa, Carex bichenoviana, Ficinia nodosa, Gahnia filum,

33

Juncus kraussii and Juncus usitatus were exposed to six concentrations of saline stormwater,

34

equivalent to electrical conductivity readings of: 0.09, 2.3, 5.5, 10.4, 20.0 and 37.6 mS cm-1.

35

Salt-sensitive species: C. appressa, C. bichenoviana and J. usitatus did not survive ≥10.4 mS

36

cm-1, removing their ability to take up nitrogen (N). Salt-tolerant species, such as F. nodosa

37

and J. kraussii, maintained N-removal even at the highest salt concentration. However, their

38

levels of water stress and stomatal conductance suggest that N-removal would not be

39

sustained at concentrations ≥10.4 mS cm-1. Increasing salt concentration indirectly increased

40

phosphorus (P) removal, by converting dissolved forms of P to particulate forms which were

41

retained by filter media. Salt concentrations ≥10 mS cm-1 also reduced removal efficiency of

42

zinc, manganese and cadmium, but increased removal of iron and lead, regardless of plant

43

species. Our results suggest that biofiltration systems exposed to saline stormwater ≤10 mS

44

cm-1 can only maintain N-removal when planted with salt-tolerant species, while P removal

45

and immobilisation of heavy metals is less affected by species selection.

SC

M AN U

TE D

EP

AC C

46

RI PT

26

47

Keywords

48

Water sensitive urban design; stormwater treatment; biofiltration; salt-tolerant species;

49

nitrogen; phosphorus

50

ACCEPTED MANUSCRIPT 1. Introduction

52

Impervious surfaces in cities produce large volumes of polluted stormwater runoff which

53

flows via drainage systems and sewers directly into waterways. Stormwater is typically

54

contaminated with a range of environmental pollutants including: nitrogen (N), phosphorus

55

(P), hydrocarbons, heavy metals and sediment (Duncan 1999, Kabir et al. 2014, Taylor et al.

56

2005), all of which can have adverse effects on the health of aquatic ecosystems and water

57

resources (Walsh et al. 2005). The environmental and financial cost of managing polluted

58

stormwater once it has entered a waterway is high, which has led government authorities to

59

seek solutions that increase the interception and infiltration of stormwater runoff within the

60

urban landscape.

M AN U

SC

RI PT

51

61

Biofiltration systems are stormwater control measures specifically designed to reduce

63

concentrations of pollutants discharged into urban waterways, including: N, P, and heavy

64

metals (Davis et al. 2009, Fletcher et al. 2014). They consist of an engineered profile of filter

65

media (primarily sand) planted with vegetation that has high nutrient uptake potential (Hatt

66

et al. 2008, Hsieh and Davis 2005). The majority of pollutants associated with particulates,

67

including P and heavy metals, are physically removed from stormwater by the filter media,

68

while dissolved forms can be removed with varying success through sorption and

69

precipitation (Blecken et al. 2009, Glaister et al. 2014). Vegetation can significantly increase

70

the removal of dissolved N and P (Bratières et al. 2008, Henderson et al. 2007, Read et al.

71

2009) and to a lesser extent heavy metals (Sun and Davis 2007). While it was previously

72

considered that denitrification by microbes was a major N-removal process, recent studies

73

have shown that plant uptake can account for the majority of nitrate (NO3-) removal (Payne et

74

al. 2014). Species selection is critical, with glasshouse column studies showing that some

AC C

EP

TE D

62

ACCEPTED MANUSCRIPT 75

plant species removed almost all influent N, while others showed effluent N concentrations

76

equivalent to, or even greater than, unplanted columns (Bratières et al. 2008).

77 Biofiltration systems are increasingly installed to mitigate the effects of new and existing

79

urban developments on waterways. While installing a large number of small stormwater

80

control measures throughout an urban catchment is likely to greatly improve hydrologic and

81

water quality outcomes (Burns et al. 2012), competition for space often leads to the

82

installation of fewer, but larger, biofiltration systems towards the bottom of a catchment,

83

close to the receiving water. Further, coastal communities looking to integrate stormwater

84

control measures have little choice but to install them close to the ocean (Felson et al. 2013).

85

Integration of biofiltration systems in coastal zones increases the risk of exposure to salt

86

water, from sources including seawater intrusion into coastal aquifers and groundwater, as

87

well as from storm surges (Barlow and Reichard 2010, Cai et al. 2013). Biofiltration systems

88

exposed to seawater may show reduced treatment performance due to the deleterious effect of

89

elevated salt concentrations on biological immobilisation of N and P (by reducing plant

90

growth and uptake); and on the physical and chemical processes in filter media which are

91

largely responsible for removal of particulates and heavy metal pollutants.

SC

M AN U

TE D

EP

AC C

92

RI PT

78

93

Plant species used in biofiltration systems have commonly been selected based on their

94

potential for high uptake of dissolved N and P pollutants, although a range of other local

95

drivers of species selection have also been considered (Hunt et al. 2015). Assessments of

96

pollutant removal performance have typically been carried out in the absence of salinity and

97

therefore selected species may not have the mechanisms to cope with saline stormwater.

98

Exposing biofilter plants to elevated salt concentrations may lead to plant water stress, ion

99

toxicity and nutrient imbalance, resulting in reduced physiological function, growth and

ACCEPTED MANUSCRIPT nutrient uptake in sensitive species, or glycophytes (Marschner 1995). Salt-tolerant species

101

(halophytes) have developed mechanisms to tolerate high salinity. Such mechanisms include

102

compartmentalisation of sodium and chloride in cell vacuoles or exclusion of salts at the root

103

zone, so as to facilitate continued metabolic and physiological function at external

104

concentrations ≥200 mM NaCl (Flowers and Colmer 2008). Therefore, the use of halophytes

105

in biofilters has the potential to mitigate the negative effects of elevated salt concentrations

106

on plant performance and maintain pollutant removal.

107

aquaculture systems suggest that halophytes can effectively maintain removal efficiencies of

108

N and P, even at salt concentrations equivalent to seawater (Buhmann and Papenbrock 2013,

109

De Lange et al. 2013, Lymbery et al. 2013, Webb et al. 2012).

RI PT

100

M AN U

SC

Studies of saline effluents in

110

Saline stormwater has the potential to reduce the removal efficiency of heavy metals by filter

112

media in biofiltration systems (Blecken et al. 2009, Davis et al. 2003, Feng et al. 2012), by

113

decreasing sorption through changes to pH and ionic strength. Seasonal pulses of saline

114

stormwater, in countries where salt is used to prevent ice formation on roads, have been

115

shown to cause leaching of previously immobilised copper, zinc, cadmium, lead and iron

116

(Bäckström et al. 2004, Norrström 2005, Norrström and Jacks 1998, Paus et al. 2014b,

117

Søberg et al. 2014). As such, saline stormwater may cause biofiltration systems to become a

118

source, rather than a sink, for certain heavy metal pollutants.

EP

AC C

119

TE D

111

120

This paper explores the potential of using salt-tolerant plant species in biofiltration systems

121

exposed to saline stormwater so as to maintain biofilter function. We specifically aimed to

122

determine: (i) to what extent saline stormwater reduces the ability of biofiltration systems to

123

remove pollutants including: N, P and heavy metals, and (ii) whether salt tolerant species can

124

maintain pollutant removal under saline conditions.

ACCEPTED MANUSCRIPT 125 2. Materials and methods

127

2.1. Species selection and column construction

128

Six Australian monocot species, with a range of salt tolerances, were selected for this study.

129

Two species are widely used in biofiltration systems: Carex appressa and Ficinia nodosa,

130

and the remaining four represent alternative species: Carex bichenoviana, Gahnia filum,

131

Juncus kraussii and Juncus usitatus.

132

demonstrated abilities to intercept nutrient pollutants (Bratières et al. 2008).

133

bichenoviana is found in dry soils and has a moderate level of salt tolerance. Gahnia filum is

134

distributed around coastal saltmarshes and likely has moderate to high levels of salt tolerance.

135

Ficinia nodosa is found close to coastal dunes, occurring in highly exposed sites and seeds

136

have demonstrated significant salt tolerance (Guja et al. 2013).

137

kraussii are commonly found in close proximity to salt marshes (Streever and Genders 1997),

138

however, J. usitatus is also found in areas unaffected by salt. Juncus kraussii has been shown

139

to be highly salt-tolerant in up to 70% seawater concentrations (Naidoo and Kift 2006).

Carex appressa has low salt tolerance; but has

M AN U

SC

Carex

Juncus usitatus and J.

TE D

140

RI PT

126

Juvenile plants were planted into PVC columns in late spring (mid-November) 2013. PVC

142

columns were constructed from 150 mm internal diameter pipe, cut to a height of 550 mm

143

and an end-cap glued to the base. The interior of each column was roughened with coarse

144

sandpaper to minimise preferential edge flows. A 20 mm hole was drilled in each end-cap

145

for drainage and mesh (1 mm) placed over the hole. Each column was filled (from bottom to

146

top) with: 40 mm of <7 mm diameter gravel, 30 mm of very coarse sand (1-2 mm diameter)

147

and 30 mm of fine sand (0.15-0.25 mm diameter); to provide a 100 mm transition layer.

148

Above this transition layer, 400 mm of filter media was added, leaving a ponding depth of 50

149

mm. The filter media was well-graded, with particle size distribution (by volume) of: 0.5%

AC C

EP

141

ACCEPTED MANUSCRIPT silt and clay (<0.05 mm), 7% very fine sand (0.05-0.15 mm), 18% fine sand (0.15-0.25 mm),

151

37% medium sand (0.25-0.5 mm), 28% coarse sand (0.5-1 mm), 9% very coarse sand (1-2

152

mm) and 0.5% fine gravel (>2 mm). Prior to treatment, the filter media had a pH of 6.9, EC

153

of 0.031 mS cm-1, cation exchange capacity of 19 cmol+ kg-1 and saturated hydraulic

154

conductivity of 210 mm hr-1. After planting into the upper filter media, the columns were

155

placed outside for three months until late summer (mid-February 2014) and irrigated daily

156

with potable water and once a month with 2 g L-1 soluble NPK (20:20:20) fertiliser. One

157

month before the start of the experiment, the columns were moved into a temperature-

158

regulated glasshouse and were irrigated with 3L of potable water twice per week.

SC

RI PT

150

M AN U

159

Experimental design and dosing procedure

161

Semi-synthetic stormwater was used as a base treatment for all columns and was developed

162

from methods reported in previous studies (Bratières et al. 2008); where nutrient and heavy

163

metal pollutants were added to sediment collected from a constructed wetland to achieve

164

target pollutant concentrations derived from reviews of ‘typical’ stormwater pollutant

165

concentrations (Duncan 1999, Taylor et al. 2005). Target pollutant concentrations were as

166

per Bratières et al. (2008; see Table 2) for total nitrogen (TN), total dissolved nitrogen

167

(TDN), oxidised nitrogen (NOx), ammonia (NH3), total phosphorus (TP), total dissolved

168

phosphorus (TDP), filterable reactive phosphorus (FRP), zinc (Zn), manganese (Mn),

169

cadmium (Cd), nickel (Ni), copper (Cu), chromium (Cr), iron (Fe) and lead (Pb). The target

170

total suspended solids (TSS) concentration was approximately half that of Bratières et al.

171

(2008), based on recent evaluations of TSS concentrations in Melbourne’s stormwater

172

(Francey et al. 2010).

173

AC C

EP

TE D

160

ACCEPTED MANUSCRIPT Five replicate columns of all six plant species plus an unplanted (bare) column were dosed

175

twice per week with 3L of semi-synthetic stormwater, in combination with salt treatments,

176

for 3.5 months from mid-March to July 2014. The six salt treatment concentrations were: 0,

177

20, 50, 100, 200 and 400 mM of NaCl; equivalent to EC of 0.09, 2.3, 5.5, 10.4, 20.0 and 37.6

178

mS cm-1. The three highest salt treatments were gradually applied by stepping up salt

179

concentrations by 50-75 mM over a 3 week period prior to the ‘start’ of the dosing period. At

180

each dosing event, treatments were made separately in 110L tubs filled with 105 L of potable

181

water de-chlorinated with sodium thiosulphate. A 1L stock solution of synthetic stormwater

182

containing N, P and heavy metals was added to each tub, followed by the required salt

183

treatment, added as NaCl (99.9%). The 110L tubs were agitated to minimise any salinity

184

gradients before decanting each 3L volume used to dose each column. Slurry (0.5 mL) was

185

added to each 3L volume and thoroughly mixed before dosing each column.

186

M AN U

SC

RI PT

174

Plant physiological function

188

Leaf gas exchange was measured (0900-1500 hrs) 11 times (every 3-10 days) during the

189

experiment using a Li-6400 (Li-Cor Inc., Lincoln, NE, USA); at a photon flux of 1500 µmol

190

m-2 s-1, CO2 concentration of 400 µmol CO2 mol-1 and block (chamber) temperature of 25 ºC.

191

Only data for stomatal conductance (gs) are presented. Relative humidity in the Li-6400

192

chamber was maintained between 45 and 60%. To determine plant water status, pre-dawn

193

(0400-0500 hrs) leaf water potential (ΨPD) was measured for all species with living leaves at

194

the end of the experiment, using a Scholander-type pressure bomb (Soil moisture Equipment

195

Corp., Santa Barbara, CA, USA) lined with wet tissue paper to reduce leaf water loss.

AC C

EP

TE D

187

196 197

Biomass measurements

ACCEPTED MANUSCRIPT 198

Plants were harvested at the end of the experiment and above-ground biomass was separated

199

into ‘alive’ (green/chlorotic leaves and flowers) and ‘dead’ (brown and desiccated) tissues to

200

determine proportion of alive above-ground biomass. Plant material was oven-dried at 70 ºC

201

for one week.

RI PT

202 Water quality analysis

204

Inflow samples were taken on five occasions during the experiment to check for consistency

205

in target pollutant concentrations. At the final dosing event, two inflow samples were taken

206

from each 110 L tub and all columns were mounted above 4L buckets to collect the outflow.

207

Inflow and outflow samples were refrigerated immediately after collection, then transported

208

to a NATA accredited laboratory (Centre for Water Studies, Monash University) the

209

following day for determination of pH, electrical conductivity (EC), TSS, TN, TDN, NOx,

210

NH3, TP, TDP and FRP. A separate nitrified 60 mL sample was dispatched the same day to a

211

NATA (National Association of Testing Authorities) accredited laboratory (Australian

212

Laboratory Services, Melbourne) for analysis of total metals, including: Zn, Mn, Cd, Ni, Cu,

213

Cr, Fe and Pb. Where pollutant concentrations were found to be below detection limits,

214

concentrations were assumed to be half the detection limit (as per Bratières et al. 2008).

EP

TE D

M AN U

SC

203

AC C

215 216

Statistical analysis

217

Statistical analyses were performed using R version 3.0.3 (R Core Team 2014). Analysis of

218

Variance (ANOVA) was used to determine differences (α = 0.05) in biomass, physiological

219

and pollutant removal performance within and between each species (including bare pots)

220

across salt treatments. Data were tested for normality using the Shapiro-Wilk test and log-

221

transformed where necessary. Tukey’s post-hoc tests were used to describe differences

222

between means.

ACCEPTED MANUSCRIPT 223 Results

225

Plant physiological function during the dosing period

226

The physiological response of plants to increasing salt concentration was rapid, with all

227

species showing reduced stomatal conductance (gs) within two weeks of treatment (Figure 1;

228

all p<0.001). Differences in gs amongst plant species and salt treatments were maintained

229

throughout the experiment, with no significant declines in gs after four weeks (all p>0.05)

RI PT

224

SC

230

Alive above-ground biomass, plant physiological function and plant water stress at the end of

232

the dosing period

233

Carex appressa, C. bichenoviana and J. usitatus had reduced alive above-ground biomass at

234

salt concentrations ≥20.0 mS cm-1 (all p≤0.001), with no alive above-ground biomass at the

235

highest salt concentration for both Carex species, and only 16% alive biomass for J. usitatus

236

(Figure 2). Only Ficinia nodosa did not decrease the proportion of alive biomass in response

237

to increasing salinity (Figure 2; p=0.513), while J. kraussii and G. filum only reduced alive

238

above-ground biomass at the highest salt concentration (p<0.001 and p=0.011).

TE D

M AN U

231

EP

239

At the end of the experiment, all species showed reduced gs with increasing salinity (Figure

241

2; all p<0.001), with effectively zero gs in all species except J. kraussii at 37.6 mS cm-1.

242

Carex appressa, F. nodosa and J. usitatus were the most sensitive to increasing salt

243

concentration, unable to maintain 50% gs (relative to control) at ≤10 mS cm-1.

244

bichenoviana, G. filum and J. kraussii showed lower sensitivity and maintained gs >50% at

245

≤20 mS cm-1.

246

AC C

240

Carex

ACCEPTED MANUSCRIPT Pre-dawn leaf water potential (ΨPD) measurements suggest that C. appressa was the most salt

248

sensitive species, with a significant (p<0.001) decrease at >5.5 mS cm-1 (Figure 2). At the

249

highest salt concentration, Juncus kraussii was the least sensitive with a ΨPD of -2.1 MPa.

250

Ficinia nodosa, G. filum and J. kraussii were moderately sensitive with significantly reduced

251

ΨPD at EC >10.4 mS cm-1 (all p<0.001).

252

RI PT

247

Inflow water quality

254

Inflow water samples differed among salt treatments for pH, TSS, TDP and FRP (Table 1).

255

There was no clear trend for pH with increasing salinity, whereas TSS was significantly

256

higher at ≥20 mS cm-1 (p=0.009). Inflow TP did not differ among salt treatments, however

257

TDP and FRP decreased with increasing salt concentration (both p<0.001). While 42% of TP

258

was dissolved (i.e., TDP) at the lowest salt concentration, the proportion of TP in dissolved

259

form decreased as salt concentration increased, such that only 2% of TP was in a dissolved

260

form at the highest salt concentration.

M AN U

TE D

261

SC

253

Outflow water quality: EC, pH and TSS

263

Outflow EC was not significantly different than inflow EC (all p>0.05) for all but the lowest

264

salt treatment (p<0.001), which showed slightly higher outflow EC (0.111 mS cm-1)

265

compared with inflow EC (0.090 mS cm-1). Outflow pH decreased with increasing salt

266

concentration for all species (all p<0.001) except J. kraussii (p=0.090) and there were no

267

differences between unplanted or planted columns (all p>0.05).

268

significantly higher for the lowest salt concentration compared with all other treatments (all

269

p<0.05). As a percentage of inflow, outflow TSS was 16.4% for the lowest salt treatment and

270

3.4% when averaged across all other salt treatments.

271

AC C

EP

262

Outflow TSS was

ACCEPTED MANUSCRIPT Outflow water quality: nitrogen

273

Outflow N was mostly in dissolved forms (86% for all columns) and planted columns

274

removed 41% and 53% of inflow TN and TDN at the lowest salt concentration (Figure 4).

275

All plant species except F. nodosa (p=0.158) and J. kraussii (p=0.691) showed reduced N-

276

removal with increasing salt concentration (p<0.001); to the extent that outflow > inflow

277

concentrations at 37.6 mS cm-1. F. nodosa and J. kraussii and unplanted columns showed no

278

change in outflow TN and TDN with increasing salt (p>0.05). However, outflow TN and

279

TDN for unplanted columns were 1.27 and 1.24-fold greater than inflow.

SC

RI PT

272

280

Similar trends were observed for outflow NOx, where F. nodosa and J. kraussii showed no

282

increase with increasing salt concentration (p>0.05) and were the only species not to show

283

outflow > inflow NOx at 37.6 mS cm-1 (Figure 4). While outflow NOx was significantly

284

higher for unplanted columns across all salt treatments (all p<0.001), outflow NH3 was

285

similar between unplanted and planted columns (all p>0.05).

286

reduced by 92% relative to inflow at the lowest salt concentration; however efficiency of NH3

287

removal decreased to 32% at the highest.

TE D

In all columns NH3 was

EP

288

M AN U

281

Outflow water quality: phosphorus

290

In contrast to nitrogen, outflow TP decreased with increasing salt concentration for all

291

columns (Figure 5; all p<0.001). Outflow TP was reduced by 22% relative to inflow TP at

292

the lowest salt concentration, compared with 87% at the highest. Given the significant effect

293

of salt on inflow concentrations of TDP and FRP (Table 1), differences in outflow

294

concentrations were analysed relative to inflow. Outflow TDP and FRP were higher from

295

unplanted columns except at 37.6 mS cm-1 (all p<0.001); where F. nodosa and C. appressa

296

showed lower concentrations compared with all other species (p<0.001). Outflow TDP and

AC C

289

ACCEPTED MANUSCRIPT 297

FRP exceeded inflow concentrations at ≥2.3 mS cm-1 for unplanted columns and ≥10.4 mS

298

cm-1 for all species.

299 Outflow water quality: heavy metals

301

Planted and unplanted columns showed no significant differences in outflow concentrations

302

of heavy metals at salt concentrations <37.6 mS cm-1. However, metals differed in their

303

response to increasing salt concentration by increasing (Zn, Mn and Cd), decreasing (Fe and

304

Pb) or showing no change (Cu, Cr and Ni).

SC

RI PT

300

305

All columns showed removal efficiencies >85% for Zn, Mn and Cd at the lowest salt

307

concentration (Figure 6). F. nodosa and J. kraussii showed significantly higher outflow Zn

308

concentrations at the highest salt treatment relative to the lowest (both p<0.05). There was no

309

difference in outflow Zn among columns at 37.6 mS cm-1 (p=0.954) and outflow exceeded

310

inflow concentration by 13% when averaged for all columns. Outflow Mn increased at 37.6

311

mS cm-1 and Cd at 20 mS cm-1, for all columns relative to the lowest salt treatment (all

312

p<0.01). Unlike for Zn, removal efficiencies of >75% were maintained for Mn and Cd, even

313

at the highest salt concentration. There were no significant differences in outflow Ni, Cu and

314

Cr concentrations among salt treatments (all p>0.05), with all columns showing >75%

315

removal.

TE D

EP

AC C

316

M AN U

306

317

In contrast, outflow Fe and Pb concentrations actually decreased with increasing salinity,

318

similar to the observed response for outflow TDP and FRP (all p<0.001; Figure 6). Again,

319

there were no significant differences among plant species at any salt concentration (all

320

p>0.05). Outflow Fe exceeded inflow by 15% at the lowest salt concentration and declined

ACCEPTED MANUSCRIPT 321

to 83% of inflow at the highest. Outflow Pb concentrations were much lower than inflow,

322

with 80% removal at the lowest salt concentration, increasing to 96% removal at the highest.

323 Discussion

325

Effect of salt concentration on nitrogen removal

326

A key benefit of plants in biofiltration systems is their ability to remove dissolved N,

327

primarily through uptake associated with biomass growth (Barrett et al. 2013, Henderson et

328

al. 2007, Payne et al. 2014, Read et al. 2009). Carex appressa is a commonly used species

329

for biofiltration systems as it has demonstrated high N-removal capacity (Bratières et al.

330

2008). At low salt concentrations in this study, C. appressa demonstrated high N removal

331

characteristics; along with C. bichenoviana, and J. usitatus. However, these three species

332

were highly sensitive to increasing salinity, showing reduced N-removal (TN, TDN and NOx)

333

at ≥10.4 mS cm-1 (≥100 mM NaCl). By the end of the experiment, these species also showed

334

little alive above-ground biomass, with impaired leaf physiological function at salt

335

concentrations ≥10.4 mS cm-1. Reduced N-removal may have been caused by suppression of

336

NO3- uptake due to elevated Cl- concentrations in the cytoplasm (Marschner 1995); however,

337

reduced growth and therefore N-demand as a result of increased water stress and chloride

338

toxicity was the most likely cause for reduced N treatment efficiency in these salt-sensitive

339

species (Flowers and Colmer 2008, Marschner 1995, Munns 2002).

SC

M AN U

TE D

EP

AC C

340

RI PT

324

341

Reduced uptake of N by salt-sensitive plants under saline conditions therefore indirectly

342

promotes leaching of NO3- through biofiltration systems. Further, at high salinities, columns

343

planted with salt-sensitive species showed greater outflow concentrations than inflow for TN,

344

TDN and NOx, indicating release of previously bio-assimilated N from senescing biomass

345

(Payne et al. 2014).

Importantly, this highlights that biofiltration systems planted with

ACCEPTED MANUSCRIPT commonly used salt-sensitive species will not maintain N-removal from saline stormwater

347

≥10.4 mS cm-1. Outflow TN and NOx concentrations from salt-sensitive species exceeded

348

water quality default trigger concentrations for slightly disturbed lowland rivers in south-

349

eastern Australia by 2 to 4-fold (0.5 mg L-1 for TN and 0.04 mg L-1 for NOx; ANZECC &

350

ARMCANZ 2000).

RI PT

346

351

The N-removal capabilities of biofiltration systems can be maintained, even under high

353

salinity levels (≤20 mS cm-1 or 200 mM NaCl), with appropriate selection of salt-tolerant

354

plant species. Two species (F. nodosa and J. kraussii) showed no increase in outflow TN and

355

NOx with increasing salt concentration.

356

increasing salt concentration, outflow TN exceeded water quality trigger concentrations by

357

57-63% and NOx by 2.6-4.6 times (ANZECC & ARMCANZ 2000). Halophytes, such as J.

358

kraussii, have demonstrated significant potential to remove N from highly saline wastewater

359

(Brown et al. 1999, Lymbery et al. 2006), most likely through compartmentalisation of toxic

360

Na+ and Cl- in certain tissues, enabling continued physiological function at elevated salt

361

concentrations (Flowers and Colmer 2008). Although F. nodosa and J. kraussii were able to

362

maintain alive above-ground biomass and N-removal efficiency at 37.6 mS cm-1 (400 mM

363

NaCl), their leaf physiological function was severely impaired, suggesting that N-removal

364

efficiency would decrease over time. However, despite similar N-removal efficiency and

365

plant water stress at high salt levels, J. kraussii was able to maintain higher stomatal

366

conductance at ≥10 mS cm-1 as compared with F. nodosa, suggesting it has greater potential

367

to maintain N-removal at elevated salinities in the medium to long-term. We therefore

368

suggest that plant species with demonstrated high salt-tolerance (e.g. J. kraussii) should be

369

preferentially selected for biofiltration systems exposed to saline stormwater between 10-20

SC

352

AC C

EP

TE D

M AN U

Despite maintaining removal efficiencies with

ACCEPTED MANUSCRIPT 370

mS cm-1 for two reasons: (i) they physiologically out-perform species with lower salt

371

tolerance when exposed to high levels of salt and (ii) they maintain high N removal.

372 Effect of salt concentration on phosphorus removal

374

In contrast to outflow N-variables, outflow TP decreased with increasing salt concentration.

375

Unplanted columns only showed marginally higher levels of outflow TP as compared with

376

planted columns, suggesting that the majority of removal happens through physical straining

377

and adsorption to the filter media. It is likely that outflow TP was influenced by changes to

378

the composition of inflow P, as a result of increasing salt concentration. While inflow

379

concentrations of TP were the same for all treatments, the concentration of dissolved P (TDP)

380

decreased significantly with increasing salinity.

381

increasing salt concentration as the majority of inflow dissolved P was converted to

382

particulate P forms; most likely through either precipitation with metal ions or sorption to

383

metal oxyhydroxides or clay particles, and subsequently retained by the filter media (Clark

384

and Pitt 2012, Erickson et al. 2012, LeFevre et al. 2015). As a result, outflow TP at the

385

highest salt concentration was equivalent to default local trigger values for receiving water

386

quality (0.05 mg L-1), as compared with the lowest salt concentration where outflow TP

387

exceeded the trigger value by 5.4 times (ANZECC & ARMCANZ 2000).

SC

M AN U

EP

TE D

Therefore, outflow TP decreased with

AC C

388

RI PT

373

389

Numerous studies have demonstrated that P is typically bound to suspended solids in storm-

390

and river-water (LeFevre et al. 2015, Withers and Jarvie 2008) and when suspended solids

391

reach estuarine or coastal waters, the high salinity causes them to flocculate and settle (House

392

et al. 1998). However, flocculation may not solely explain the decrease in the concentration

393

of dissolved P in inflow. Rather, an increase in the ability of clay particles (sediment) to sorb

394

dissolved P would be required as salt concentration increased (House et al. 1998). Inflow

ACCEPTED MANUSCRIPT 395

TSS increased with salt concentration, which suggests that high concentrations of Na+ caused

396

dispersion, rather than flocculation.

397

flocculation and dispersion can co-occur in filter media exposed to salt; where larger particles

398

flocculate, while fine particles disperse. In our study, increased dispersion with increasing

399

salt concentration may therefore have increased the available exchangeable surface on clay

400

particles; facilitating greater adsorption of dissolved P which has been observed in high ionic

401

strength solutions at pH >6 (Antelo et al. 2005, Barrow et al. 1980, Geelhoed et al. 1997).

402

Dissolved forms of P have proven the most difficult to remove in biofiltration systems

403

(Erickson et al. 2012, LeFevre et al. 2015) and it is significant that salt concentrations of >5.5

404

mS cm-1 (50 mM NaCl) effectively reduced inflow TDP to the extent that outflow P

405

concentrations decreased.

M AN U

SC

RI PT

Kakuturu and Clark (2015) recently demonstrated

406

Despite the fact that high levels of salt decreased inflow TDP, outflow concentrations of TDP

408

and FRP were higher than inflow concentrations, suggesting a source of dissolved P from the

409

columns. Desorption of P from sediment, precipitates or the filter media itself; perhaps even

410

that retained from the previous dosing event, were the most likely sources of TDP.

411

Liberation of TDP and FRP from media was more likely than P-loss from senescing biomass,

412

as unplanted columns showed higher outflow TDP and FRP with increasing salt

413

concentration compared with planted columns (Bratières et al. 2008, Read et al. 2008).

414

Lower outflow TDP and FRP at low salt concentrations from planted columns most likely

415

suggests plant uptake of TDP, which decreased as salt concentration increased.

416

appressa and F. nodosa showed the lowest outflow TDP and FRP concentrations, which is

417

somewhat surprising considering that these two species represented the worst (C. appressa)

418

and best (F. nodosa) performers with regard to leaf physiological function and N-removal

419

under saline conditions. However, when outflow TDP is expressed relative to inflow, actual

AC C

EP

TE D

407

Carex

ACCEPTED MANUSCRIPT 420

outflow TDP and FRP concentrations were very low (<0.1 mg L-1) and plants had much less

421

impact on P removal compared with chemical conversion of dissolved to particulate P in

422

inflow.

423 Despite the complexities of interpreting P removal efficiency, higher salt concentrations in

425

semi-synthetic stormwater increased TP removal by filter media, independent of plant species

426

selection. While plant species differed substantially in their ability to take up dissolved P,

427

plant uptake only constituted a very small proportion of TP removal, compared with the

428

physical removal of particulate P by the filter media with increasing salt concentration.

SC

RI PT

424

M AN U

429

Effect of salt concentration on removal of heavy metals

431

Filter media removed >75% of Zn, Mn, Ni, Cd and Cu at the lowest salt concentration,

432

consistent with previous studies (Blecken et al. 2009, Davis et al. 2003, Kabir et al. 2014,

433

Read et al. 2008). Filter media have been shown to be largely responsible for heavy metal

434

removal in biofiltration systems (Davis et al. 2003), with the majority being sorbed to organic

435

matter or fine soil particles (Paus et al. 2014a) and only a small fraction taken up by plants

436

(Sun and Davis 2007). Although the filter media used in our study contained no added

437

organic matter, the majority of heavy metals were removed, suggesting that fine soil particles

438

(<3% silt and clay) sufficiently sorbed these metals at low salt concentrations. The lack of

439

difference in outflow concentrations between planted and unplanted columns at high

440

salinities also indicates that plants were not responsible for decreased removal efficiency,

441

despite previous studies showing large differences in removal efficiency among species

442

(Read et al. 2008).

443

AC C

EP

TE D

430

ACCEPTED MANUSCRIPT A large body of work exists for assessing mobilisation of heavy metals with salts as a result

445

of road de-icing in cold climates; as well as the effect of seasonal salinity regimes in estuarine

446

systems with polluted sediments (Du Laing et al. 2008, Norrström 2005, Paus et al. 2014b,

447

Søberg et al. 2014, Warren and Zimmerman 1994). In our study, outflow pH decreased by

448

approximately half a pH unit at high salt concentrations, most likely as Na+ forced H+ into

449

solution; therefore a direct pH effect may explain our observed increase in mobility of Zn, Cd

450

and Mn. Levels of pH are a major determinant of metal stability in soils and a decrease of 1-

451

2 pH units, as a result of elevated salt concentrations has been shown to mobilise Cd, Zn and

452

Cu and lead to leaching losses (Bäckström et al. 2004). Direct metal displacement by Na+

453

and divalent cations including Mg2+ and Ca2+ could also explain why Zn, Cd and Mn outflow

454

concentrations increased at higher salinities (Amrhein et al. 1992, Søberg et al. 2014).

455

However, as we did not assess outflow concentrations of all base cations, we cannot

456

definitively attribute our observed responses to this process. Despite this, Na+ displacement

457

of Cd2+ and Zn2+ from biofiltration sand has been demonstrated in response to relatively low

458

salt concentrations 1 – 4 g L-1; or ~1.5 – 6.2 mS cm-1 (Paus et al. 2014b, Søberg et al. 2014).

459

Outflow Cd increased at a lower salt concentration than Zn and Mn, potentially because Cd

460

has a high affinity for Cl compared with the other heavy metals (Du Laing et al. 2008,

461

Paalman et al. 1994); although the majority of heavy metals do form chloro-complexes at

462

elevated salinities (Amrhein et al. 1992, Bäckström et al. 2004, Norrström 2005, Norrström

463

and Jacks 1998, Paus et al. 2014b). Increased physical loss of fine soil particles as a result of

464

colloid dispersion is less likely to explain increased outflow concentrations of Zn, Mn and

465

Cd, as outflow TSS did not increase with salt concentration. Increased removal efficiency of

466

Fe and Pb is more difficult to explain; however, the fact that outflow Fe and Pb showed a

467

similar response as TDP suggests conversion from dissolved to particulate forms and

468

subsequent filtration by the media.

AC C

EP

TE D

M AN U

SC

RI PT

444

ACCEPTED MANUSCRIPT 469 In the absence of outflow data for base cations, or the distinction between total and dissolved

471

heavy metals, the exact mechanisms for observed outflow metal concentrations in relation to

472

salt are difficult to identify. Despite this, removal efficiencies of >75% for all metals except

473

Fe and Pb were maintained at salt concentrations ≤10 mS cm-1. However, as studies have

474

shown significant metal leaching at much lower salt concentrations (Bäckström et al. 2004,

475

Norrström 2005, Søberg et al. 2014), as well as complex interactions between pulses of fresh

476

and saline runoff (Norrström 2005, Paus et al. 2014b); a conservative approach should be

477

taken with regard to the application of saline stormwater to biofiltration systems designed for

478

heavy metal removal.

M AN U

SC

RI PT

470

479 Conclusions

481

Semi-synthetic stormwater with salt concentrations ≥10.4 mS cm-1 effectively killed salt-

482

sensitive species such as C. appressa, C. bichenoviana and J. usitatus; removing their ability

483

to intercept pollutants. Salt-tolerant species such as F. nodosa and J. kraussii maintained N-

484

removal at higher salt concentrations (≤20 mS cm-1); however, their leaf physiological

485

function was greatly reduced, suggesting that sustained N-removal was more likely to be

486

sustained at salt concentrations ≤10.4 mS cm-1. Increasing salinity, rather than plant uptake,

487

increased removal efficiency of P; by converting dissolved forms of P to particulate forms in

488

the inflow and thus increasing removal by physical straining. Stormwater with salt

489

concentrations >10.4 mS cm-1 reduced removal efficiency of key heavy metals (Zn, Mn and

490

Cd), independently of plant species selection, suggesting that biofiltration may not be the

491

appropriate means to treat stormwater with salinity >10.4 mS cm-1. Existing biofiltration

492

systems exposed to saline stormwater are likely to continue to remove P and heavy metals,

493

but salt-sensitive species will not maintain physiological function, growth or N-uptake and

AC C

EP

TE D

480

ACCEPTED MANUSCRIPT 494

are likely to release N during senescence. However, this study demonstrates that biofiltration

495

systems planted with salt-tolerant species can maintain sufficient physiological function and

496

N-removal at salt concentrations up to 10.4 mS cm-1.

497 Acknowledgements

499

This research was funded by the City of Melbourne and Melbourne Water and we thank Ralf

500

Pfleiderer, Rachelle Adamowicz and Julia Peacock for their support and guidance. Joerg

501

Werdin and Harry Virahsawmy provided vital assistance in the construction, filling and

502

planting of the columns. Harry Virahsawmy assisted in creating the synthetic stormwater

503

treatment and in the collection of sediment for making the slurry. Joerg Werdin provided

504

significant assistance with the final harvest. Tina Hines at the School of Chemistry, Monash

505

University prepared and analysed all water quality samples. We also thank Nick Osborne for

506

providing technical assistance. Fletcher is funded by an Australian Research Council Future

507

Fellowship (FT100100144).

TE D

508

M AN U

SC

RI PT

498

References

510

Amrhein, C., Strong, J.E. and Mosher, P.A. (1992) Effect of deicing salts on metal and

511

organic matter mobilization in roadside soils. Environmental Science & Technology 26(4),

512

703-709.

513

Antelo, J., Avena, M., Fiol, S., López, R. and Arce, F. (2005) Effects of pH and ionic strength

514

on the adsorption of phosphate and arsenate at the goethite–water interface. Journal of

515

Colloid and Interface Science 285(2), 476-486.

516

ANZECC & ARMCANZ (2000) Australian and New Zealand guidelines for fresh and

517

marine water quality, Australian and New Zealand Journal Environmental and Conservation

AC C

EP

509

ACCEPTED MANUSCRIPT Council and Agriculture and Resource Management Council of Australia and New Zealand,

519

Canberra.

520

Bäckström, M., Karlsson, S., Bäckman, L., Folkeson, L. and Lind, B. (2004) Mobilisation of

521

heavy metals by deicing salts in a roadside environment. Water Research 38(3), 720-732.

522

Barlow, P.M. and Reichard, E.G. (2010) Saltwater intrusion in coastal regions of North

523

America. Hydrogeology Journal 18(1), 247-260.

524

Barrett, M.E., Limouzin, M. and Lawler, D.F. (2013) Effects of media and plant selection on

525

biofiltration performance. Journal of Environmental Engineering 139(4), 462-470.

526

Barrow, N.J., Bowden, J.W., Posner, A.M. and Quirk, J.P. (1980) Describing the effects of

527

electrolyte on adsorption of phosphate by a variable charge surface. Australian Journal of Soil

528

Research 18(4), 395-404.

529

Blecken, G.T., Zinger, Y., Deletić, A., Fletcher, T.D. and Viklander, M. (2009) Influence of

530

intermittent wetting and drying conditions on heavy metal removal by stormwater biofilters.

531

Water Research 43(18), 4590-4598.

532

Bratières, K., Fletcher, T.D., Deletic, A. and Zinger, Y. (2008) Nutrient and sediment

533

removal by stormwater biofilters: A large-scale design optimisation study. Water Research

534

42(14), 3930-3940.

535

Brown, J.J., Glenn, E.P., Fitzsimmons, K.M. and Smith, S.E. (1999) Halophytes for the

536

treatment of saline aquaculture effluent. Aquaculture 175(3), 255-268.

537

Buhmann, A. and Papenbrock, J. (2013) Biofiltering of aquaculture effluents by halophytic

538

plants: basic principles, current uses and future perspectives. Environmental and

539

Experimental Botany 92, 122-133.

540

Burns, M.J., Fletcher, T.D., Walsh, C.J., Ladson, A.R. and Hatt, B.E. (2012) Hydrologic

541

shortcomings of conventional urban stormwater management and opportunities for reform.

542

Landscape and Urban Planning 105(3), 230-240.

AC C

EP

TE D

M AN U

SC

RI PT

518

ACCEPTED MANUSCRIPT Cai, Y., Guo, L., Wang, X., Lohrenz, S.E. and Mojzis, A.K. (2013) Effects of tropical

544

cyclones on river chemistry: A case study of the lower Pearl River during Hurricanes Gustav

545

and Ike. Estuarine, Coastal and Shelf Science 129, 180-188.

546

Clark, S.E. and Pitt, R. (2012) Targeting treatment technologies to address specific

547

stormwater pollutants and numeric discharge limits. Water Research 46(20), 6715-6730.

548

Davis, A.P., Hunt, W.F., Traver, R.G. and Clar, M. (2009) Bioretention technology:

549

Overview of current practice and future needs. Journal of Environmental Engineering 135(3),

550

109-117.

551

Davis, A.P., Shokouhian, M., Sharma, H., Minami, C. and Winogradoff, D. (2003) Water

552

quality improvement through bioretention: Lead, copper, and zinc removal. Water

553

Environment Research 75(1), 73-82.

554

De Lange, H.J., Paulissen, M.P.C.P. and Slim, P.A. (2013) ‘Halophyte filters’: the potential

555

of constructed wetlands for application in saline aquaculture. International Journal of

556

Phytoremediation 15(4), 352-364.

557

Du Laing, G., De Vos, R., Vandecasteele, B., Lesage, E., Tack, F.M.G. and Verloo, M.G.

558

(2008) Effect of salinity on heavy metal mobility and availability in intertidal sediments of

559

the Scheldt estuary. Estuarine, Coastal and Shelf Science 77(4), 589-602.

560

Duncan, H.P. (1999) Urban stormwater quality: a statistical overview. Report No. 99/3.

561

Cooperative Research Centre for Catchment Hydrology, Melbourne, Australia.

562

Erickson, A.J., Gulliver, J.S. and Weiss, P.T. (2012) Capturing phosphates with iron

563

enhanced sand filtration. Water Research 46(9), 3032-3042.

564

Felson, A.J., Bradford, M.A. and Terway, T.M. (2013) Promoting Earth Stewardship through

565

urban design experiments. Frontiers in Ecology and the Environment 11(7), 362-367.

AC C

EP

TE D

M AN U

SC

RI PT

543

ACCEPTED MANUSCRIPT Feng, W., Hatt, B.E., McCarthy, D.T., Fletcher, T.D. and Deletic, A. (2012) Biofilters for

567

stormwater harvesting: understanding the treatment performance of key metals that pose a

568

risk for water use. Environmental Science & Technology 46(9), 5100-5108.

569

Fletcher, T.D., Shuster, W., Hunt, W.F., Ashley, R., Butler, D., Arthur, S., Trowsdale, S.,

570

Barraud, S., Semadeni-Davies, A., Bertrand-Krajewski, J.-L., Mikkelsen, P., Rivard, G., Uhl,

571

M., Dagenais, D. and Viklander, M. (2014) SUDS, LID, BMPs, WSUD and more – The

572

evolution and application of terminology surrounding urban drainage. Urban Water Journal

573

DOI: 10.1080/1573062X.2014.916314, 1-18.

574

Flowers, T.J. and Colmer, T.D. (2008) Salinity tolerance in halophytes. New Phytologist

575

179(4), 945-963.

576

Francey, M., Fletcher, T.D., Deletic, A. and Duncan, H. (2010) New insights into the quality

577

of urban storm water in south eastern Australia. Journal of Environmental Engineering

578

136(4), 381-390.

579

Geelhoed, J.S., Hiemstra, T. and Van Riemsdijk, W.H. (1997) Phosphate and sulfate

580

adsorption on goethite: Single anion and competitive adsorption. Geochimica et

581

cosmochimica acta 61(12), 2389-2396.

582

Glaister, B.J., Fletcher, T.D., Cook, P.L.M. and Hatt, B.E. (2014) Co-optimisation of

583

phosphorus and nitrogen removal in stormwater biofilters: the role of filter media, vegetation

584

and saturated zone. Water Science & Technology 69(9), 1961-1969.

585

Guja, L., Wuhrer, R., Moran, K., Dixon, K.W., Wardell‐Johnson, G. and Merritt, D.J. (2013)

586

Full spectrum X‐ray mapping reveals differential localization of salt in germinating seeds of

587

differing salt tolerance. Botanical Journal of the Linnean Society 173(1), 129-142.

588

Hatt, B.E., Fletcher, T.D. and Deletic, A. (2008) Hydraulic and pollutant removal

589

performance of fine media stormwater filtration systems. Environmental Science &

590

Technology 42(7), 2535-2541.

AC C

EP

TE D

M AN U

SC

RI PT

566

ACCEPTED MANUSCRIPT Henderson, C., Greenway, M. and Phillips, I. (2007) Removal of dissolved nitrogen,

592

phosphorus and carbon from stormwater by biofiltration mesocosms. Water Science and

593

Technology 55(4), 183-191.

594

House, W.A., Jickells, T.D., Edwards, A.C., Praska, K.E. and Denison, F.H. (1998) Reactions

595

of phosphorus with sediments in fresh and marine waters. Soil use and management 14(s4),

596

139-146.

597

Hsieh, C.-h. and Davis, A.P. (2005) Evaluation and optimization of bioretention media for

598

treatment of urban storm water runoff. Journal of Environmental Engineering 131(11), 1521-

599

1531.

600

Hunt, W.F., Lord, B., Loh, B. and Sia, A. (2015) Plant selection for bioretention systems and

601

stormwater treatment practices. Springer Briefs in Water Science and Technology, p59.

602

Kabir, M.I., Daly, E. and Maggi, F. (2014) A review of ion and metal pollutants in urban

603

green water infrastructures. Science of the Total Environment 470-471, 695-706.

604

Kakuturu, S.P. and Clark, S.E. (2015) Clogging mechanism of stormwater filter media by

605

NaCl as a deicing salt. Environmental Engineering Science 32(2), 141-152.

606

LeFevre, G., Paus, K., Natarajan, P., Gulliver, J., Novak, P. and Hozalski, R. (2015) Review

607

of dissolved pollutants in urban storm water and their removal and fate in bioretention cells.

608

Journal of Environmental Engineering 141(1), 04014050.

609

Lymbery, A.J., Doupé, R.G., Bennett, T. and Starcevich, M.R. (2006) Efficacy of a

610

subsurface-flow wetland using the estuarine sedge Juncus kraussii to treat effluent from

611

inland saline aquaculture. Aquacultural engineering 34(1), 1-7.

612

Lymbery, A.J., Kay, G.D., Doupé, R.G., Partridge, G.J. and Norman, H.C. (2013) The

613

potential of a salt-tolerant plant (Distichlis spicata cv. NyPa Forage) to treat effluent from

614

inland saline aquaculture and provide livestock feed on salt-affected farmland. Science of the

615

Total Environment 445-446, 192-201.

AC C

EP

TE D

M AN U

SC

RI PT

591

ACCEPTED MANUSCRIPT Marschner, H. (1995) Mineral nutrition of higher plants, Academic Press, Cambridge.

617

Munns, R. (2002) Comparative physiology of salt and water stress. Plant, Cell and

618

Environment 25(2), 239-250.

619

Naidoo, G. and Kift, J. (2006) Responses of the saltmarsh rush Juncus kraussii to salinity and

620

waterlogging. Aquatic Botany 84(3), 217-225.

621

Norrström, A.C. (2005) Metal mobility by de-icing salt from an infiltration trench for

622

highway runoff. Applied Geochemistry 20(10), 1907-1919.

623

Norrström, A.C. and Jacks, G. (1998) Concentration and fractionation of heavy metals in

624

roadside soils receiving de-icing salts. Science of the Total Environment 218(2), 161-174.

625

Paalman, M.A.A., Van der Weijden, C.H. and Loch, J.P.G. (1994) Sorption of cadmium on

626

suspended matter under estuarine conditions; competition and complexation with major sea-

627

water ions. Water, Air, and Soil Pollution 73(1), 49-60.

628

Paus, K.H., Morgan, J., Gulliver, J.S. and Hozalski, R.M. (2014a) Effects of bioretention

629

media compost volume fraction on toxic metals removal, hydraulic conductivity, and

630

phosphorous release. Journal of Environmental Engineering 140(10), 04014033.

631

Paus, K.H., Morgan, J., Gulliver, J.S., Leiknes, T. and Hozalski, R.M. (2014b) Effects of

632

temperature and NaCl on toxic metal retention in bioretention media. Journal of

633

Environmental Engineering 140(10), 04014034.

634

Payne, E.G.I., Fletcher, T.D., Russell, D.G., Grace, M.R., Cavagnaro, T.R., Evrard, V.,

635

Deletic, A., Hatt, B.E. and Cook, P.L.M. (2014) Temporary storage or permanent removal?

636

The division of nitrogen between biotic assimilation and denitrification in stormwater

637

biofiltration systems. PloS one 9(3), e90890.

638

R Core Team (2014) R: A language and environment for statistical computing. R Foundation

639

for Statistical Computing, Vienna. http://www.R-project.org/.

AC C

EP

TE D

M AN U

SC

RI PT

616

ACCEPTED MANUSCRIPT Read, J., Fletcher, T.D., Wevill, T. and Deletic, A. (2009) Plant traits that enhance pollutant

641

removal from stormwater in biofiltration systems. International Journal of Phytoremediation

642

12(1), 34-53.

643

Read, J., Wevill, T., Fletcher, T. and Deletic, A. (2008) Variation among plant species in

644

pollutant removal from stormwater in biofiltration systems. Water Research 42(4-5), 893-

645

902.

646

Søberg, L.C., Viklander, M. and Blecken, G.T. (2014) The influence of temperature and salt

647

on metal and sediment removal in stormwater biofilters. Water Science & Technology

648

69(11), 2295-2304.

649

Streever, W.J. and Genders, A.J. (1997) Effect of improved tidal flushing and competitive

650

interactions at the boundary between salt marsh and pasture. Estuaries 20(4), 807-818.

651

Sun, X. and Davis, A.P. (2007) Heavy metal fates in laboratory bioretention systems.

652

Chemosphere 66(9), 1601-1609.

653

Taylor, G.D., Fletcher, T.D., Wong, T.H.F., Breen, P.F. and Duncan, H.P. (2005) Nitrogen

654

composition in urban runoff - implications for stormwater management. Water Research

655

39(10), 1982-1989.

656

Walsh, C.J., Roy, A.H., Feminella, J.W., Cottingham, P.D., Groffman, P.M. and Morgan,

657

R.P. (2005) The urban stream syndrome: current knowledge and the search for a cure. Journal

658

of the North American Benthological Society 24(3), 706-723.

659

Warren, L.A. and Zimmerman, A.P. (1994) The influence of temperature and NaCl on

660

cadmium, copper and zinc partitioning among suspended particulate and dissolved phases in

661

an urban river. Water Research 28(9), 1921-1931.

662

Webb, J.M., Quintã, R., Papadimitriou, S., Norman, L., Rigby, M., Thomas, D.N. and Le

663

Vay, L. (2012) Halophyte filter beds for treatment of saline wastewater from aquaculture.

664

Water Research 46(16), 5102-5114.

AC C

EP

TE D

M AN U

SC

RI PT

640

ACCEPTED MANUSCRIPT 665

Withers, P.J.A. and Jarvie, H.P. (2008) Delivery and cycling of phosphorus in rivers: A

666

review. Science of the Total Environment 400(1), 379-395.

AC C

EP

TE D

M AN U

SC

RI PT

667

ACCEPTED MANUSCRIPT

Treatment (mS cm-1)

mS cm-1

TSS

mg L-1

TN

mg L-1

TDN

mg L-1

NOx

mg L-1

NH3

mg L-1

TP

mg L-1

TDP

mg L-1

FRP

mg L-1

Zn

mg L-1

Mn

mg L-1

Cd

mg L-1

Ni Cu

mg L-1

mg L-1

Cr

mg L-1

Fe

mg L-1

Pb

mg L-1

1.96 (±0.02) 1.84 (±0.02) 0.95 (±0.02) 0.276 (±0.002)

1.98 (±0.05) 1.82 (±0.02) 0.95 (±0.02) 0.284 (±0.002)

1.96 (±0.02) 1.80 (±0.01) 0.94 (±0.02) 0.286 (±0.002)

0.992

0.39 (±0.006) 0.040C (±0.001) 0.0048BC (±0.0010)

0.392 (±0.009) 0.015D (±0.003) 0.0030C (±0.0006)

0.402 (±0.012) 0.010D (±0.001) 0.0028C (±0.0007)

0.4 (±0.008) 0.010D (±0.001) 0.0026C (±0.0011)

0.545

0.145 (±0.006) 0.230 (±0.012) 0.0039 (±0.0001) 0.0300 (±0.0005) 0.062 (±0.008) 0.0244 (±0.0020) 2.93 (±0.12) 0.1266 (±0.0043)

0.125 (±0.005) 0.222 (±0.014) 0.0037 (±0.0002) 0.0284 (±0.0014) 0.059 (±0.008) 0.0254 (±0.0037) 2.77 (±0.05) 0.1210 (±0.0059)

0.156 (±0.028) 0.236 (±0.011) 0.0037 (±0.0001) 0.0280 (±0.0015) 0.056 (±0.007) 0.0306 (±0.0066) 2.80 (±0.07) 0.1214 (±0.0045)

0.126 (±0.011) 0.239 (±0.011) 0.0038 (±0.0002) 0.0300 (±0.0009) 0.054 (±0.011) 0.0372 (±0.0118) 3.09 (±0.18) 0.1236 (±0.0044)

10.4 6.6A (±0.02) 10.4D (±0.09) 68.8AB (±4.0)

1.98 (±0.04) 1.78 (±0.04) 0.96 (±0.02) 0.274 (±0.006)

1.98 (±0.02) 1.78 (±0.04) 0.94 (±0.01) 0.272 (±0.005)

1.98 (±0.04) 1.82 (±0.02) 0.94 (±0.02) 0.272 (±0.004)

0.412 (±0.006) 0.175A (±0.003) 0.0160A (±0.0017)

0.404 (±0.010) 0.085B (±0.003) 0.0086B (±0.0016)

0.152 (±0.006) 0.232 (±0.010) 0.0039 (±0.0001) 0.0296 (±0.0007) 0.069 (±0.011) 0.0236 (±0.0007) 3.06 (±0.10) 0.1324 (±0.0039)

0.158 (±0.012) 0.239 (±0.012) 0.0042 (±0.0002) 0.0306 (±0.0007) 0.066 (±0.008) 0.0252 (±0.0012) 3.17 (±0.09) 0.1296 (±0.0037)

SC

EC

P-value <0.001

5.5 6.3C (±0.01) 5.5C (±0.07) 65.8AB (±4.3)

M AN U

*

37.6 6.3C (±0.04) 37.6F (±0.64) 76.8B (±2.7)

2.3 6.4BC (±0.01) 2.3B (±0.04) 64.6AB (±3.5)

TE D

pH

20.0 6.4B (±0.04) 20.0E (±0.19) 75.4B (±2.2)

0.09 6.6A (±0.04) 0.09A (±0.002) 62.6A (±1.4)

EP

Units

AC C

Variable

RI PT

Table 1. Analysis of inflow water samples collected over the course of the experiment (n=5) for each salt treatment. Variables included: pH, electrical conductivity (EC), total suspended solids (TSS), total nitrogen (TN), total dissolved nitrogen (TDN), oxidised nitrogen (NOx), ammonia (NH3), total phosphorus (TP), total dissolved phosphorus (TDP), filterable reactive phosphorus (FRP), zinc (Zn), manganese (Mn), cadmium (Cd), nickel (Ni), copper (Cu), chromium (Cr), iron (Fe) and lead (Pb). Different letters represent significant differences (P<0.05) between salt treatments as determined from ANOVA. Variables showing significant differences between salt treatments are also highlighted in grey.

<0.001 0.009

0.536 0.991 0.061

<0.001 <0.001

0.362 0.901 0.362 0.482 0.783 0.548 0.243 0.417

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

Figure 1. Stomatal conductance of salt treatments over time for each species. Mean stomatal conductance is expressed relative to the control treatment (0.09 mS cm-1) and bars represent mean standard error (n=5). Greyscale colour indicates salt concentration, where concentration increases from grey (2.3 mS cm-1) to black (37.6 mS cm-1).

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

Figure 2. Alive above-ground biomass (as a proportion of total above-ground biomass), stomatal conductance (gs) and leaf pre-dawn water potential in relation to salt concentration, captured at the end of the experiment. Points represent means and bars represent mean standard error (n=5).

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

Figure 3. Outflow concentrations of electrical conductivity (EC), pH and total suspended solids (TSS) collected from the last dosing event. Points represent mean values and bars represent mean standard error (n=5).

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

EP

TE D

Figure 4. Outflow concentrations of total nitrogen (TN), total dissolved nitrogen (TDN), oxidised nitrogen (NOx) and ammonia (NH3) as collected from the last dosing event. Points represent mean values and bars represent mean standard error (n=5).

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

EP

Figure 5. Outflow concentrations of total phosphorus (TP), total dissolved phosphorus (TDP), and filterable reactive phosphorus (FRP) as collected from the last dosing event. The left-hand pane shows actual outflow concentrations and the right-hand pane shows outflow expressed as a proportion (%) of inflow concentration. Points represent mean values and bars represent mean standard error (n=5).

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

Figure 6. Outflow concentrations of zinc (Zn), manganese (Mn), cadmium (Cd), nickel (Ni), copper (Cu), chromium (Cr), iron (Fe) and lead (Pb) in relation to salt concentration, as collected from the last dosing event. Points represent mean values and bars represent mean standard error (n=5).

ACCEPTED MANUSCRIPT Highlights

EP

TE D

M AN U

SC

RI PT

We evaluated six plant species for use in salt affected biofiltration systems Plants removed nitrogen, while filter media removed phosphorus and heavy metals Salt tolerant plants maintained nitrogen removal, even at high salt concentrations High salt levels actually increased particulate phosphorus removal by filter media Removal of some heavy metals decreased at high levels of salt

AC C

• • • • •