1 THE PERFORMANCE OF CONSTRUCTED WETLANDS TREATING 2 PRIMARY, SECONDARY AND DAIRY SOILED WATER IN IRELAND (A 3 REVIEW) 4 5 M.G. Healy* and C.J. O’ Flynn 6 7 Civil Engineering, National University of Ireland, Galway, Co. Galway, Rep. of 8 Ireland. 9 10 * 11 +353 91 494507. Corresponding author. Email: mark.healy@nuigalway.ie. Tel: +353 91 495364; Fax: 12 13 14 15 16 Published as: Healy, M.G., O’ Flynn, C.J. 2011. The performance of constructed wetlands treating primary, secondary and dairy soiled water in Ireland (a review). Journal of Environmental Management 92: 2348-2354. 17 18 19 20 21 22 23 24 25 26 27 28 1 29 ABSTRACT 30 31 In Ireland, no database detailing the design, influent loading rates or performance of 32 constructed wetlands (CWs) exists. On account of this, they are designed without 33 any protocol based on empirical data. The aim of this paper was to provide the first 34 published data on the performance of free-water surface flow (FWSF) CWs treating 35 primary and secondary-treated municipal wastewater, and agricultural dairy soiled 36 water (DSW) in Ireland. In total, the performance of thirty-four FWSF CWs, 37 comprising fourteen CWs treating primary-treated municipal wastewater, thirteen 38 CWs treating secondary-treated municipal wastewater, and seven CWs treating DSW, 39 were examined. In most CWs, good organic, suspended solids (SS) and nutrient 40 removal was measured. At an average organic loading rate (OLR) of 10 and 9 g 41 biochemical oxygen demand (BOD) m-2 d-1, CWs treating primary and secondary 42 wastewater removed 95 and 84% of influent BOD. Constructed wetlands treating 43 DSW had an average BOD removal of 98%. At average SS loading rates of 6 and 14 44 g m-2 d-1, CWs treating primary and secondary wastewater had a 96 and an 82% 45 reduction, and produced a final effluent with a concentration of 14 and 13 mg L-1. 46 Constructed wetlands treating DSW produced a final effluent of 34 mg L-1 (94% 47 reduction). Similar to other studies, all CWs examined had variable performance in 48 ammonium-N (NH4+-N) removal, with average removals varying between 37% (for 49 CWs treating secondary wastewater) and 88% (for CWs treating DSW). Variable 50 ortho-phosphorus (PO43--P) removal was attributable to different durations of 51 operation, media types and loading rates. 52 53 Keywords: Municipal wastewater; dairy soiled water; free-water surface wetlands. 2 54 55 1. Introduction 56 57 The use of constructed wetlands (CWs) for the treatment of domestic, municipal 58 (Healy and Cawley, 2002) and agricultural wastewaters (Harrington and McInnes, 59 2009) is gaining in popularity in Ireland. This is mainly due to population distribution, 60 as well as the unsuitability of some of the land for traditional septic tank and 61 percolation areas. In 2006, the area of land classified as rural was 67,628 km2 (with a 62 population of 2,430,499 people), whereas the area of land classified as urban was 63 1338 km2 (with a population of 1,804,426 people) (CSO, 2006). In 2006, 956,239 64 housing units (65.4%) were connected to a public sewage system, whilst 418,033 65 (28.6%) used individual septic tanks, with the latter mainly located in rural areas. 66 This equated to approximately 1.17 million people using septic tank and percolation 67 systems as a means of treating their wastewater. As most of the land in Ireland is 68 unsuitable for percolation, municipal wastewater is conventionally treated using 69 activated sludge treatment plants, which often use CWs as a polishing step. Presently, 70 there are over 140 CWs used for the treatment of municipal, industrial and 71 agricultural wastewater in Ireland (Babatunde et al., 2008). So-called ‘Integrated 72 Constructed Wetlands’ have also become popular in Ireland (Harrington and McInnes, 73 2009). This is essentially a traditional CW, but is designed with an ecosystem 74 approach that promotes nature conservation and an integrated management of land, 75 water and living resources (Harrington and McInnes, 2009). 76 77 European legislation including the Water Framework Directive (WFD) (EC, 2000) 78 has focused attention on the effective treatment of domestic wastewater. Present 3 79 agricultural practice is governed by The European Communities (Good Agricultural 80 Practice for Protection of Waters) Regulations 2010 (S.I. No. 610 of 2010), which 81 places a responsibility on the individual farmer and the public authority to adhere to 82 the conditions set out within the Nitrates Directive and the WFD to ensure good 83 wastewater management practices. 84 85 In the period from 2004 to 2006, municipal activities (including sewage, water 86 treatment plant effluent, septic tank effluent and diffuse urban inputs) were 87 responsible for 33% of slightly polluted rivers, 43% of moderately polluted rivers and 88 54% of seriously polluted rivers (Clabby et al., 2008). Agricultural activities 89 (including diffuse and point sources of wastes) were responsible for approximately 90 37% of slightly polluted rivers, 24% of moderately polluted rivers, and 23% of 91 seriously polluted rivers (Clabby et al., 2008). 92 93 Over the years, limited work has been conducted in Ireland on the treatment 94 efficiency of CWs in terms of performance or nutrient uptake by the emergent 95 vegetation (Healy et al., 2007a). These studies focused on individual systems that 96 were monitored over a number of years (Healy and Cawley, 2002; Dunne et al., 2005; 97 Harrington et al., 2007). Harty and Otte (2003) provided a database of CWs in 98 Ireland, focused on their distribution and ecology, but had limited discussion on their 99 treatment efficiency. Babatunde et al. (2008) conducted the first survey of the 100 performance of CWs in Ireland and provided the results from thirteen CWs with a 101 range of influent biochemical oxygen demand (BOD) concentrations ranging from 102 7058±17,081 to 6.4±1.2 mg L-1, but did not distinguish between wastewater types. 103 Overall, Babatunde et al. (2008) reported the following removals: BOD: 76.8-99.8%; 4 104 chemical oxygen demand (COD): 76.3-99.7%; and ammonium-nitrogen (NH4+-N): 105 67-99.9%. 106 107 The aim of this paper was to provide the first published data on the performance of 108 free-water surface flow (FWSF) CWs treating primary-treated municipal wastewater 109 (wastewater that has undergone settlement), secondary-treated municipal wastewater 110 (wastewater that has undergone some type of biological treatment), and agricultural 111 dairy soiled water (DSW) in Ireland. Optimal design for CWs was well covered in 112 the literature (Kadlec and Wallace, 2009) and, therefore, was not discussed. The 113 performance of subsurface horizontal flow (SSHF) CWs was not included in this 114 paper, as no substantial water quality data sets were available from local authorities or 115 other stakeholders. Dairy soiled water is produced on dairy farms through the 116 washing-down of milking parlors and holding areas. It contains nutrients and other 117 constituents that pose a potential threat to water quality if not managed correctly. 118 Typically, DSW is similar in composition to cattle slurry, but is more dilute. In 119 Ireland, it is defined as having a BOD concentration of less than 2,500 mg L-1 and a 120 suspended solids (SS) concentration of less than 1% SS (S.I. No. 610 of 2010). The 121 CWs treating primary wastewater had population equivalents (PEs) between 30 and 122 1808 and the CWs treating secondary wastewater had PEs between 50 and 2240. 123 124 1.1 Wastewater characteristics of municipal wastewater and DSW in Ireland 125 126 Domestic wastewater flow typically follows a diurnal pattern, with small flows at 127 night and large flows in the morning and evening. A list of the average 5 128 concentrations of primary wastewater in this study and other studies is tabulated in 129 Table 1. 130 131 Volumes of water on farms used for wash-down of yard areas, milk spillage, yard area 132 rainfall, and stormwater run-off lead to a final effluent of variable concentration and 133 volume. The water volumes generated may vary according to the practices applied by 134 the farmers. Factors such as frequency of milking and the number of cows present at 135 the same time affect the volumes generated. Dairy soiled water production has been 136 estimated at 50 L cow-1 d-1, but this value can frequently be exceeded especially 137 where there is indifferent management of water usage. 138 139 Concentrations of organic matter and SS in dairy wastewater are significantly higher 140 than municipal effluent, and tend to vary throughout the year (Rodgers et al., 2005). 141 Minogue et al. (2010) tested DSW quality from 60 Irish farms and the results obtained 142 are presented in Table 1. A comparison between the average DSW concentrations of 143 Minogue’s study, the present study and studies in other locations in addition to Ireland 144 is also presented in Table 1. 145 146 2. Methods 147 148 The data obtained for this study came from local authorities, landowners, and 149 published literature (Healy and Cawley, 2002; Dunne et al., 2005; Harrington et al., 150 2007; Kayranli et al., 2010). The study aimed to be as extensive as possible, and all 151 available FWSF CWs with extensive water quality data sets were utilized. Water 152 quality parameters, such as total nitrogen (TN), total phosphorus (TP), or microbial 6 153 quality parameters were not commonly measured by local authorities in Ireland, and 154 were not included in the performance data. In total, data from thirty-four CWs are 155 presented. This comprises fourteen CWs treating primary wastewater, thirteen CWs 156 treating secondary wastewater, and seven CWs treating DSW. The influent flow 157 volumes to municipal CWs were known and are presented. The agricultural CWs 158 surveyed however were not instrumented with flow-measuring devices and only 159 effluent concentrations were available. While some results originated from published 160 literature on identified experimental CWs, the data reported in this paper were not 161 ascribed to specific CWs, as some information may be sensitive vis-à-vis poorly 162 performing CWs. In this review, the performance of the CWs were based on inlet and 163 outlet concentrations. The removal efficiency was defined as: 164 Cin Cout 165 Cin (1) 166 167 where Cin was the average inlet concentration (mg L-1) and C out was the outlet 168 concentration (mg L-1). It is important to note that the removal efficiency, as 169 calculated in this paper, excludes the effects of dilution or evapotranspiration, which 170 means that the results in this paper possibly attribute a greater treatment performance 171 to CWs than would be the case if a mass removal, determined using a water balance, 172 was calculated for each individual wetland. 173 174 3. Results and discussion 175 176 3.1 Organics 177 7 178 In this study, the average removals of BOD from CWs treating primary and secondary 179 wastewater, and DSW were 95, 84, and 98%, respectively. The removals recorded in 180 this study were within the EPA guidelines of allowable minimum percentage 181 reductions of 70 and 90% required for wastewater treatment plants treating primary 182 wastewater (EEC, 1991). Their respective average effluent concentrations of 12±7, 183 8±7 and 16±5 mg L-1 were also below the maximum allowable concentration (MAC) 184 of 25 mg L-1. Figures 1 and 2 illustrate the variability of influent and effluent 185 concentrations. 186 187 Figure 1 and Figure 2 here 188 189 The average organic loading rates (OLRs) for CWs treating primary wastewater was 190 10 and 9 g m-2 d-1 for CWs treating secondary wastewater (Figure 3). Organic loading 191 rates not exceeding 6 g BOD m-2 d-1 are recommended for FWSF CWs (Healy et al., 192 2007b), but BOD removals of about 70% have been measured for OLRs of up to 28 g 193 BOD m-2 d-1 (Healy et al., 2007b). Of the CWs treating secondary wastewater, the 194 removal of 84% was similar to other studies (online supplementary data). 195 196 Figure 3 here 197 198 Of the seven CWs treating DSW detailed in the present study, only one was fully 199 instrumented to enable OLRs to be determined (Dunne et al., 2005). In that study, 200 farmyard DSW, collected in a three-chambered tank, was pumped to a CW 201 comprising three FWSF CWs with a total area of 4265 m2 and a final monitoring pond 202 with an area of 490 m2. At an average OLR of 3.6 g BOD m-2 d-1, an average influent 8 203 BOD concentration of 2806 mg L-1 was reduced to an average effluent concentration 204 of 20 mg L-1 (Dunne et al., 2005). At a similar loading rate (4.4 g BOD m-2 d-1), 205 Smith et al. (2006) measured BOD removals of up to 99% in a FWSF CW planted 206 with cattails (Typha latifolia L.) and fresh water grasses. In a study of a FWSF CW 207 treating milkroom parlor wastewater in Connecticut, USA, Newman et al. (2000) 208 found that, under an OLR of approximately 18 g BOD m-2 d-1, 77% of BOD was 209 removed and no nitrification occurred (online supplementary data). 210 211 Although the data sets were too small to detect any discernable trend, the following 212 observations may be made: (i) CWs treating primary wastewater produced 213 consistently good BOD removals – even at OLRs of up to 40 g BOD m-2 d-1 (ii) the 214 ratio of the effluent BOD concentration (Ce) to the influent concentration (Co) was 215 less than 0.21 (iii) CWs treating secondary wastewater, even at relatively low OLRs 216 of less than 5 g BOD m-2 d-1, did not perform as well. This may however, have been a 217 function of the low influent concentration (50 mg BOD L-1) and the associated 218 difficulties in adequate resolution of data. One CW treating secondary wastewater 219 was malfunctioning, and had a Ce/Co of approximately 2.5. It also produced similar 220 poor values – in terms of Ce/Co - for COD and SS. 221 222 The average removals of COD from primary and secondary wastewater was 88 and 223 72%, respectively, and the average final effluent concentrations were 53±18 and 224 45±27 mg L-1 – well below the MAC of 125 mg L-1. Average removals of COD from 225 the CWs treating secondary wastewater was 72%, and from CWs treating DSW were 226 91%. However, average effluent concentrations were 162 mg L-1, which was much 227 higher than the MAC. The average OLR for primary and secondary wastewater was 9 228 22 and 24 g COD m-2 d-1. Good removals – in terms of Ce/Co – were observed, even 229 at OLRs of up to 90 and 45 g COD m-2 d-1 for primary and secondary wastewater, 230 respectively. Similar results in terms of COD and BOD removal were obtained in 231 other countries (online supplementary data). 232 233 3.2 Suspended Solids 234 235 Suspended solids removals from CWs treating primary and secondary wastewater, 236 and DSW were 96, 82 and 94%, respectively, and produced respective final average 237 effluent concentrations of 14±7, 13±7 and 34±31 mg L-1. The CWs treating primary 238 and secondary wastewater produced final effluent concentrations below the MAC of 239 35 mg L-1, but the CWs treating DSW frequently exceeded the MAC (Figure 2). In 240 addition, if short circuiting occurs, average water retention time within the wetland 241 will be limited, giving rise to poor SS removals (USEPA, 1999). 242 243 The average SS loading rates for CWs treating primary domestic and secondary 244 wastewater were 6 and 14 g m-2 d-1, respectively. Suspended solids loading rates of 245 under 5 g SS m-2 d-1 for FWSF CWs are recommended (Healy et al., 2007b). Dunne 246 et al. (2005) found SS removals of almost 100% at SS loading rates of approximately 247 1 g SS m-2 d-1. At a similar loading rate (2.1 g SS m-2 d-1), Smith et al. (2006) 248 measured SS removals of greater than 95%, whereas at a loading rate of 9 g SS m-2 d-1, 249 Newman et al. (2000) measured reductions of 90%. 250 251 Potentially confounding factors such as temperature and hydraulic loading rate (HLR) 252 may also affect SS removal. Smith et al. (2006) investigated the effect of temperature 10 253 (>10oC and <10oC) on the SS removal performance of a FWSF CW and found no 254 difference. However, with similar SS concentrations but with elevated SS loading 255 rates (9 g SS m-2 d-1), Newman et al. (2000) found seasonal differences (92% in 256 summer and 78% in winter). Hydraulic loading rate and hydraulic retention time 257 (HRT) are also linked to performance. Knowlton et al. (2002) and Smith et al. (2006) 258 found that large losses of SS occurred in the months following increased loading. As 259 the HLR is related to the HRT, a reduced HRT does not provide adequate time for 260 settling of SS (Kadlec and Wallace, 2009). 261 262 3.3 Nitrogen 263 264 Total nitrogen is composed of NH4+-N, nitrite (NO2--N), nitrate (NO3--N) and organic 265 matter. The data sets collected from local authorities mainly tabulated NH4+-N, 266 therefore this parameter is the only one reported in this paper. Average final NH4+-N 267 effluent concentrations for CWs treating primary and secondary wastewater, and 268 DSW were 11±13, 6±7 and 6±5 mg L-1, respectively. They represented removal 269 efficiencies of 77, 37 and 88% for the primary, secondary and DSW, respectively. 270 Excluding the dilution effect of rainfall, the mass removals may have been much 271 lower. Factors such as low water temperature and short HRT may affect N removals 272 within CWs (Reinhardt et al., 2006) and may have contributed to some low removals 273 measured in these CWs. 274 275 Constructed wetlands are capable of good organic, SS and fecal coliform removals, 276 but commonly have poor NH4+-N removals (Toet et al., 2005a). Even under 277 significantly reduced OLRs, FWSF CWs have under-performed. In the present study, 11 278 in CWs with OLRs of 10 g BOD m-2 d-1 treating primary wastewater and 9 g BOD m-2 279 d-1 in CWs treating secondary wastewater, the NH4+-N removals were highly variable 280 (Figure 3). This may be due to re-mineralisation of organic matter, lack of 281 oxygenated sites within the wetland and decay of vegetation. The choice of 282 vegetation may be significant in TN removal. The study detailed in this paper was 283 carried out on FWSF CWs planted with a mixture of emergent, submersed and 284 floating vegetation. Toet et al. (2005a) found that in a FWSF CW planted with a 285 mixture of emergent and submersed vegetation and treating final effluent from a 286 sewage treatment plant, TN removal was 26% (expressed in g N m-2 yr-1) and was 287 mainly reduced in wetland cells planted with emergent vegetation. In addition, the 288 decay of vegetation during cold months may release organic N back into the system, 289 which is then available for ammonification (Kadlec and Wallace, 2009). Therefore, a 290 CW may become a source of NH4+-N. 291 292 3.4 Phosphorus 293 294 Similar to TN, TP was not frequently measured by local authorities. The phosphorus 295 (P) parameter tested was frequently ortho-P (PO43--P). The ability of CWs to retain P 296 was dependent on the P loading rate, the media type, vegetation, and duration of 297 operation (Healy et al., 2007b), although changes in pH and redox potential could also 298 release P from the system. 65 to 95% of P may be removed at loading rates of less 299 than 5 g TP m-2 yr-1 (Healy et al., 2007b). Phosphorus is removed through short-term 300 or long-term storage, with most removal often occurring near the inlet initially, before 301 extending throughout the wetland over time as those sites become P-saturated 302 (Jamieson et al., 2002). Uptake by bacteria, algae and duckweed (Lemma spp.), and 12 303 macrophytes provides an initial removal mechanism. However, this is only a short- 304 term P storage as 35%-75% of P stored is eventually released back into the water 305 upon dieback of algae and microbes, as well as plant residues. The only long-term P 306 storage in the wetland is via peat accumulation and substrate fixation. The efficiency 307 of long-term peat storage is a function of the loading rate and also depends on the 308 amount of native iron, calcium, aluminum, and organic matter in the substrate. 309 310 The CWs surveyed in this study have different loading rates, lifespans and dilutions, 311 so the removals quoted are not necessarily representative of performance. Similar 312 analysis problems were reported by Smith et al. (2006), who found that factors such 313 as SS loading rate and water depth also affected performance. The average final 314 effluent PO43--P concentrations of CWs treating primary and secondary wastewater, 315 and DSW were 3±2 (a 64% removal), 5±5 (a -54% removal) and 3±2 mg L-1 (an 80% 316 removal), respectively. These were all in excess of the wastewater treatment plant 317 limit of 0.7 mg PO43--P L-1 required for discharge to rivers (S.I. No. 7 of 1992). 318 Lower removals and even negatives have been reported in other studies (Benham and 319 Mote, 1999). This is often related to a small HRT, where there is a reduced contact 320 time for adsorption to occur. 321 322 3.5 Gaps in constructed wetland research in Ireland. 323 324 The aim of this paper was to collate all available information on the performance of 325 CWs in Ireland. However, no database detailing their design, influent loading rates or 326 performance exists. This means that many aspects central to their performance, such 327 as, for example, choice of vegetation, optimal loading rates or the interaction between 13 328 water temperature and removal rates, cannot be determined based on empirical data. 329 As such, a variety of design criteria are used in Ireland without any design protocol 330 based on synthesized empirical data. Some potential gaps in CW research in Ireland, 331 which may be potentially addressed by a centralized database, are now identified. 332 333 3.5.1 Effect of vegetation on performance 334 335 In Ireland, a mixture of emergent, submersed and floating vegetation are used in CWs 336 (Harty and Otte, 2003). As the type of vegetation used to colonize CWs affects 337 performance (Toet et al., 2005a; Bastviken et al., 2007, 2009), it is important that 338 appropriate vegetation is identified. This issue was investigated by Bastviken et al. 339 (2009) in a series of FWSF CWs in Sweden. Nitrate removal (kg ha-1 yr-1) was higher 340 in CWs colonised by emergent vegetation – P. australis (Trin.), G. maxima (Hartm.) 341 and Phalaris arundinacea (L.) - than those planted with submersed vegetation – E. 342 Canadensis (Rich.), Myriophyllum alterniflorum (DC.) and Ceratophyllum demersum 343 (L.). Similar findings were made by Toet et al. (2005a), who found higher NO3 344 removals in FWSF CWs planted with P. australis and T. latifolia than those planted 345 with submersed plants – mainly Elodea nuttallii, Ceratophyllum demersum and 346 Potamogeton spp.- and algae. 347 348 In addition, the management of vegetation is important for the sustainability of a CW. 349 An appropriate water height and an optimal ratio of wetland vegetation to open water 350 are crucial for sustaining treatment efficacy and habitat value (Thullen et al., 2002). 351 Harvesting, although perhaps not contributing significantly to nutrient removal (Healy 14 352 et al., 2007a), may help improve the functioning of a CW as dense vegetation can 353 contribute towards internal nutrient loading as plants decompose (Sartoris et al., 2000). 354 355 3.5.2 Effect of hydraulic loading rate, residence time and temperature on 356 performance 357 358 The determination of a critical HLR, HRT and water temperature which provides 359 optimal performance is crucial. Related to this is the relationship between OLR and 360 outlet concentration. Optimal OLRs for CWs are well defined (Healy et al., 2007b), 361 but HLR and HRT can also impact on performance (Kadlec and Wallace, 2009). 362 There is a lack on consensus in the literature regarding the nature of their impact: 363 Kadlec (2005) found that a high HLR resulted in high removals of NO3 due to 364 increased availability of NO3 for denitrifying bacteria, whereas Spieles and Mitsch 365 (2000) speculated that a high HLR oxygenated the sediment surface, re-suspended 366 organic material and consequently produced low removals of NO3. Similarly, there is 367 a lack of agreement on the impact of HRT: Toet et al. (2005b) found that the mass 368 removal of NO3 was affected by HRT, but Bastviken et al. (2009) and Lu et al. (2009) 369 found no significant difference. Reduction of SS and organics are also affected by 370 HLR and HRT, with large losses occurring following increased loading onto a CW 371 (Smith et al., 2006). 372 373 Water temperature also impacts on performance (Poach et al., 2004; Lu et al., 2009), 374 but, in Ireland, CWs are still designed using rate constants based on empirical sizing 375 equations developed from first order decay curves fitted to inflow/outflow from CWs 376 in warmer climates. This does not account for the interaction between biological, 15 377 chemical and physical processes specific to Ireland. Analytical models based on Irish 378 data need to be developed. 379 380 4. Conclusions 381 The main conclusions are: 382 383 384 1. At average OLRs of 10 and 9 g BOD m-2 d-1, CWs treating primary and secondary wastewater had average BOD removals of 95 and 84%, respectively. 2. At loading rates of 6 and 14 g SS m-2 d-1, CWs treating primary and secondary 385 wastewater produced final effluents with an average concentration of 14 and 386 13 mg L-1. Constructed wetlands treating DSW produced an average final 387 effluent marginally below the MAC. 388 389 3. The performance of the CWs in the reduction of NH4+-N and PO43--P was highly variable. 390 4. In most CWs in Ireland, only the final effluent is continuously monitored. 391 Individual databases, often with limited water quality parameters, are held 392 mainly by local authorities. No centralized database exists that allows the 393 inquisition of performance data on the basis of, say, location, wetland age, 394 wastewater type, or hydraulic loading rate. A centralized database is needed 395 that may be used to inform design protocols for CWs in Ireland. A detailed 396 database could, in time, be used to develop empirical equations that could be 397 used to design CWs. Related to this, more thorough monitoring of CWs needs 398 to be employed: influent and effluent water quality, along with flow data (if 399 possible) needs to be monitored. 400 401 5. Acknowledgements 16 402 403 The authors acknowledge the assistance of representatives from local authorities and 404 landowners in Ireland in the completion of this study. 405 406 Appendix 407 408 Supplementary data associated with this article can be found in the online version at: 409 (doi here) 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 17 427 6. References 428 429 Babatunde, A.O., Zhao, Y.Q., O’Neill, M., O’Sullivan, B., 2008. Constructed 430 wetlands for environmental pollution control: a review of developments, research and 431 practice in Ireland. Env. Int. 34, 116-126. 432 433 Bastviken, S.K., Eriksson, P.G., Ekström, A., Tonderski, K., 2007. Seasonal 434 denitrification potential in wetland sediments with organic matter from different plant 435 species. Wat. 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Average influent and effluent concentrations (± standard deviation) from 578 wetlands treating primary and secondary treated municipal wastewater (dark box = 579 influent; white box = effluent) 580 581 Figure 2. Average influent and effluent concentrations (± standard deviation) from 582 wetlands treating dairy soiled water (dark box = influent; white box = effluent) 583 584 Figure 3. Relationship between loading rates for BOD, COD, SS, NH4+-N and PO43--P 585 (g m-2 d-1) and performance, expressed as final effluent concentration (Ce) divided by 586 influent concentration (Co), in wetlands treating primary (top) and secondary 587 wastewater (bottom). BOD – closed square; COD – closed diamond; SS – closed 588 triangle; NH4+-N – open diamond; PO43-- P – open square. 589 590 591 592 24 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 Table 1. Comparison of mean primary municipal wastewater and dairy soiled water (DSW) concentrations from Ireland and elsewhere. ___________________________________________________________________________________________________________________________________________ Wastewater Location n1 type Parameter BOD Reference SS TN NH4+-N -1 ________________________________ mg L Org N TP PO43--P ______________________________ Total solids % Municipal Primary2 DSW Ireland 150-500 200-700 22-80 50±30 5-20 EPA, 2009 Ireland 14 218±215 334±698 USA 9 153±101 41±24 Ireland 60 2246±2112 5120±5865 587±536 212±206 Ireland 7 998±1034 535±434 48±25 15±7 UK 20 2260-9670 310-580 340-490 USA 32-3743 442 361 8±5 In the present study Eliasson, 2003 103 351 381±413 80±68 37±53 Minogue et al., 2010 In the present study 0.57-1.65 Cumby et al., 1999 Knight et al., 2000 ___________________________________________________________________________________________________________________________________________ 1 n = number of study locations. 2 Primary = wastewater that has undergone settlement. Secondary wastewater performance results are excluded as various biological treatment methods will yield varying results. 3 n = 442 for BOD; n = 361 for SS; n = 351 for NH4-N; n = 32 for TN. 25 Figure 1. Average influent and effluent concentrations (± standard deviation) from wetlands treating primary- and secondary-treated municipal wastewater (dark box = influent; white box = effluent) Primary wastewater Secondary wastewater 400 30 BOD (mg L-1) 350 Influent: 768±450 mg L-1 300 25 Influent: 95±45 mg L-1 20 250 200 Influent: 95±45 mg L-1 15 150 10 100 5 50 0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 2 3 4 5 System number COD (mg L-1) 600 6 -1 Influent: 1279±697 mg L 250 400 200 300 150 200 100 100 50 0 2 3 4 5 6 7 8 9 10 11 12 13 14 1 2 3 4 5 System number SS (mg L-1) -1 11 12 13 6 7 9 10 11 12 13 9 10 11 12 13 9 10 11 12 13 9 10 11 12 13 8 100 140 120 100 80 80 60 60 40 40 20 20 0 0 2 3 4 5 6 7 8 9 10 11 12 13 14 1 2 3 4 5 System number NH4+-N (mg L-1) 10 System number Influent: 303±335 mg L Influent: 2183±3844 mg L-1 1 6 7 8 System number 100 90 80 70 60 50 40 30 20 10 0 40 35 30 25 20 15 10 5 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 2 3 4 5 System number 6 7 8 System number 16 PO43--P (mg L-1) 9 0 1 120 8 300 500 140 7 System number 20 18 16 14 12 10 8 6 4 2 0 14 12 10 8 6 4 2 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 System number 1 2 3 4 5 6 7 8 System number 26 Figure 2. Average influent and effluent concentrations (± standard deviation) from wetlands treating dairy soiled water (dark box = influent; white box = effluent) BOD (mg L-1) 1200 1000 Influent: 2629±226 mg L-1 800 600 400 200 0 1 2 3 4 5 6 7 COD (mg L-1) System number 1000 900 800 700 600 500 400 300 200 100 0 Influent: 4713±4613 mg L-1 1 2 3 4 5 6 7 System number 600 SS (mg L-1) 500 400 Influent: 979±69 mg L-1 300 200 100 0 1 2 3 4 5 6 7 6 7 6 7 System number NH4+-N (mg L-1) 80 70 60 50 40 30 20 10 0 1 2 3 4 5 System number PO43--P (mg L-1) 35 30 25 20 15 10 5 0 1 2 3 4 5 System number 27 Figure 3. Relationship between loading rates for BOD, COD, SS, NH4+-N and PO43--P (g m-2 d-1) and performance, expressed as final effluent concentration (Ce) divided by influent concentration (Co), in wetlands treating primary (top) and secondary wastewater (bottom). BOD – closed square; COD – closed diamond; SS – closed triangle; NH4+-N – open diamond; PO43-- P – open square. 1 0.9 0.8 Ce/Co 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 0 20 40 60 80 100 40 50 Loading rate (g m-2 d-1) 3 2.5 Ce/Co 2 1.5 1 0.5 0 0 10 20 30 Loading rate (g m-2 d-1) 28