Assessing the Impacts of Wetlands on Discharge and Nutrient Loading: Insights from Restoring Past Wetlands with GIS-Based Analysis and Modeling

Wetlands - Tập 43 Số 8 - 2023
Mosammat Mustari Khanaum1, Tiansong Qi1, Kyle D. Boutin2, Marinus L. Otte2, Zhulu Lin3, Xuefeng Chu1
1Department of Civil, Construction and Environmental Engineering (Dept 2470), North Dakota State University, PO Box 6050, Fargo, ND, 58108-6050, USA
2Wet Ecosystem Research Group, Department of Biological Sciences (Dept 2715), North Dakota State University, PO Box 6050, Fargo, ND, 58108-6050, USA
3Department of Agricultural and Biosystems Engineering (Dept 7620), North Dakota State University, PO Box 6050, Fargo, ND, 58108-6050, USA

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Abbaspour KC (2022) The fallacy in the use of the best-fit solution in hydrologic modeling. Sci Total Environ 802:149713. https://doi.org/10.1016/j.scitotenv.2021.149713

Abbaspour KC, Vaghefi SA, Srinivasan R (2017) A guideline for successful calibration and uncertainty analysis for soil and water assessment: a review of papers from the 2016 international SWAT conference. Water 10(1):6. https://doi.org/10.3390/w10010006

Arnold JG, Allen PM, Morgan DS (2001) Hydrologic model for design and constructed wetlands. Wetlands 21(2):167–178. https://doi.org/10.1672/0277-5212(2001)021[0167:HMFDAC]2.0.CO;2

Bauwe A, Eckhardt KU, Lennartz B (2022) Potential of constructed wetlands to reduce nitrate pollution in agricultural catchments. Ecol Eng 178:106597. https://doi.org/10.1016/j.ecoleng.2022.106597

Cho J, Vellidis G, Bosch DD, Lowrance R, Strickland T (2010) Water quality effects of simulated conservation practice scenarios in the Little River experimental watershed. J Soil Water Conserv 65(6):463–473. https://doi.org/10.2489/jswc.65.6.463

Chu X (2017) Delineation of pothole-dominated wetlands and modeling of their threshold behaviors. J Hydrol Eng 22(1):1–11. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001224

Chu X, Yang J, Chi Y, Zhang J (2013) Dynamic puddle delineation and modeling of puddle-to-puddle filling-spilling-merging-splitting overland flow processes. Water Resources Research 49(6):3825–3829. https://doi.org/10.1002/wrcr.20286

De Laney TA (1995) Benefits to downstream Flood attenuation and water quality as a result of constructed wetlands in agricultural landscapes. Journal of Soil and Water Conservation 50(6):620–626

Djebou DCS, Szogi AA, Stone KC, Novak JM (2020) Watershed scale nitrate-N abatement of instream wetlands: an appraisal using the soil and water assessment tool. Appl Eng Agric 36(3):387–397. https://doi.org/10.13031/aea.13736

Eckhardt K (2005) How to construct recursive digital filters for baseflow separation. Hydrol Process 19(2):507–515. https://doi.org/10.1002/hyp.5675

Evenson GR, Golden HE, Lane CR, D’Amico E (2015) Geographically isolated wetlands and watershed hydrology: a modified model analysis. J Hydrol 529:240–256. https://doi.org/10.1016/j.jhydrol.2015.07.039

Fluet-Chouinard E, Stocker BD, Zhang Z, Malhotra A, Melton JR, Poulter B, Kaplan JO, Goldewijk KK, Siebert S, Minayeva T, Hugelius G, Joosten H, Barthelmes A, Prigent C, Aires F, Hoyt AM, Davidson N, Finlayson CM, Lehner B, Jackson RB, McIntyre PB (2023) Extensive global wetland loss over the past three centuries. Nature 614(7947):281–286. https://doi.org/10.1038/s41586-022-05572-6

Franzen DW (2010) North Dakota fertilizer recommendation: tables and equations. NDSU Extension Service, Fargo, ND

Fretwell JD (1996) National water summary on wetland resources, vol 2425. US Government Printing Office, Washington, D.C.

Hansen AT, Dolph CL, Foufoula-Georgiou E, Finlay JC (2018) Contribution of wetlands to nitrate removal at the watershed scale. Nat Geosci 11(2):127–132. https://doi.org/10.1038/s41561-017-0056-6

Hantush MM, Kalin L, Isik S, Yucekaya A (2013) Nutrient dynamics in flooded wetlands. I: model development. J Hydrol Eng 18(12):1709–1723. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000741

Hayashi M, Quinton WL, Pietroniro A, Gibson JJ (2004) Hydrologic functions of wetlands in a discontinuous permafrost basin indicated by isotopic and chemical signatures. J Hydrol 296(1–4):81–97. https://doi.org/10.1016/j.jhydrol.2004.03.020

Huang J, Reneau RB Jr, Hagedorn C (2000) Nitrogen removal in constructed wetlands employed to treat domestic wastewater. Water Research 34(9):2582–2588. https://doi.org/10.1016/S0043-1354(00)00018-X

Ikenberry CD, Crumpton WG, Arnold JG, Soupir ML, Gassman PW (2017) Evaluation of existing and modified wetland equations in the SWAT model. JAWRA J Am Water Resour Association 53(6):1267–1280. https://doi.org/10.1111/1752-1688.12570

Jalowska AM, Yuan Y (2019) Evaluation of SWAT impoundment modeling methods in water and sediment simulations. JAWRA J Am Water Resour Association 55(1):209–227. https://doi.org/10.1111/1752-1688.12715

Kalin L, Hantush M, Isik S, Yucekaya A, Jordan T (2013) Nutrient dynamics in flooded wetlands. II: model application. Journal of Hydrologic Engineering 18(12):1724–1738. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000750

Kazezyılmaz-Alhan CM, Medina MA Jr, Richardson CJ (2007) A wetland hydrology and water quality model incorporating surface water/groundwater interactions. Water Resources Research 43(4):1–16. https://doi.org/10.1029/2006WR005003

Lee ER, Mostaghimi S, Wynn TM (2002) A model to enhance wetland design and optimize nonpoint source pollution control. JAWRA Journal of the American Water Resources Association 38(1):17–32. https://doi.org/10.1111/j.1752-1688.2002.tb01531.x

Lee S, Yeo IY, Lang MW, Sadeghi AM, McCarty GW, Moglen GE, Evenson GR (2018) Assessing the cumulative impacts of geographically isolated wetlands on watershed hydrology using the SWAT model coupled with improved wetland modules. J Environ Manage 223:37–48. https://doi.org/10.1016/j.jenvman.2018.06.006

Lee S, Yeo IY, Lang MW, McCarty GW, Sadeghi AM, Sharifi A, Jin H, Liu Y (2019) Improving the catchment scale wetland modeling using remotely sensed data. Environ Model Softw 122:104069. https://doi.org/10.1016/j.envsoft.2017.11.001

Lin Z, Anar MJ, Zheng H (2015) Hydrologic and water-quality impacts of agricultural land use changes incurred from bioenergy policies. J Hydrol 525:429–440. https://doi.org/10.1016/j.jhydrol.2015.04.001

Liu Y, Yang W, Wang X (2008) Development of a SWAT extension module to simulate riparian wetland hydrologic processes at a watershed scale. Hydrological Processes: An International Journal 22(16):2901–2915. https://doi.org/10.1002/hyp.6874

Martinez-Martinez E, Nejadhashemi AP, Woznicki SA, Adhikari U, Giri S (2015) Assessing the significance of wetland restoration scenarios on sediment mitigation plan. Ecol Eng 77:103–113. https://doi.org/10.1016/j.ecoleng.2014.11.031

Mengistu SG, Golden HE, Lane CR, Christensen JR, Wine ML, D’Amico E, …, Hill RA (2020) Wetland flowpaths mediate nitrogen and phosphorus concentrations across the Upper Mississippi River Basin. JAWRA Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.12885

Moriasi DN, Gitau MW, Pai N, Daggupati P (2015) Hydrologic and water quality models: performance measures and evaluation criteria. Trans ASABE 58(6):1763–1785. https://doi.org/10.13031/trans.58.10715

Mushet DM, Goldhaber MB, Mills CT et al (2015) Chemical and biotic characteristics of prairie lakes and large wetlands in south-central North Dakota—effects of a changing climate. US Geological Survey. Scientific Investigations Report 2015–5126.https://doi.org/10.3133/sir20155126

NASA (2022) NASA Power, Data Sources. https://power.larc.nasa.gov/docs/methodology/data/sources/ Accessed on 06 June 2022

Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I - A discussion of principles. J Hydrol 10(3):282–290. https://doi.org/10.1016/0022-1694(70)90255-6

ND GIS Hub (2022) National Wetlands Inventory. U.S. Fish and Wildlife Service. https://gishubdata-ndgov.hub.arcgis.com/datasets/ndgishub-wetlands/. Accessed 07 Jul 2022

Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2011) Soil and water assessment tool theoretical documentation, version 2009. Texas Water Resources Institute, Technical Report No. 406, Temple, Texas

Niraula R, Meixner T, Norman LM (2015) Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes. J Hydrol 522:439–451. https://doi.org/10.1016/j.jhydrol.2015.01.007

Ouyang W, Huang H, Hao F, Guo B (2013) Synergistic impacts of land-use change and soil property variation on non-point source nitrogen pollution in a freeze-thaw area. J Hydrol 495:126–134. https://doi.org/10.1016/j.jhydrol.2013.04.037

Perez-Valdivia C, Cade-Menun B, McMartin DW (2017) Hydrological modeling of the pipestone creek watershed using the Soil Water Assessment Tool (SWAT): assessing impacts of wetland drainage on hydrology. Journal of Hydrology: Regional Studies 14:109–129. https://doi.org/10.1016/j.ejrh.2017.10.004

PRISM Climate Group (2022) Parameter-elevation Regressions on Independent Slopes Model (PRISM), Climate Group, Oregon State University, NACES. https://prism.oregonstate.edu. Accessed 06 June 2022

Qi T, Khanaum MM, Boutin K, Otte M, Lin Z, Chu X (2023) Incorporating wetland delineation and impacts in watershed-scale hydrologic modeling. Water 15(14):2518. https://doi.org/10.3390/w15142518

Rajib A, Golden HE, Lane CR, Wu Q (2020) Surface depression and wetland water storage improves major river basin hydrologic predictions. Water Resour Res 56(7):e2019WR026561. https://doi.org/10.1029/2019WR026561

Ranalli AJ, Macalady DL (2010) The importance of the riparian zone and in-stream processes in nitrate attenuation in undisturbed and agricultural watersheds - a review of the scientific literature. J Hydrol 389(3–4):406–415. https://doi.org/10.1016/j.jhydrol.2010.05.045

Rashid H, Yang K, Zeng A, Ju S, Rashid A, Guo F, Lan S (2021) The influence of landcover and climate change on the hydrology of the Minjiang River watershed. Water 13(24):3554. https://doi.org/10.3390/w13243554

Records RM, Arabi M, Fassnacht SR, Duffy WG, Ahmadi M, Hegewisch KC (2014) Climate change and wetland loss impacts on a western river’s water quality. Hydrology and Earth System Sciences 18(11):4509–4527. https://doi.org/10.5194/hess-18-4509-2014

Shabani A, Zhang X, Chu X, Dodd TP, Zheng H (2020) Mitigating impact of devils lake flooding on the sheyenne river sulfate concentration. JAWRA Journal of the American Water Resources Association 56(2):297–309. https://doi.org/10.1111/1752-1688.12825

Tahmasebi Nasab M, Zhang J, Chu X (2017) A new depression-dominated delineation (D-cubed) method for improved watershed modelling. Hydrological Processes 31(19):3364–3378. https://doi.org/10.1002/hyp.11261

Tahmasebi Nasab M, Grimm K, Bazrkar MH, Zeng L, Shabani A, Zhang X, Chu X (2018) SWAT modeling of non-point source pollution in depression-dominated basins under varying hydroclimatic conditions. International Journal of Environmental Research and Public Health 15(11):2492. https://doi.org/10.3390/ijerph15112492

USDA (2022a) CropScape, center for spatial information science and systems at George Mason University, National Agricultural Statistics Service, U.S. Department of Agriculture. https://nassgeodata.gmu.edu/CropScape/ Accessed 15 Jul 2022

USDA (2022b) Web Soil Survey, Natural Resources Conservation Service, U.S. Department of Agriculture. https://websoilsurvey.nrcs.usda.gov/app/WebSoilSurvey.aspx Accessed 06 Jul 2022

USEPA (2022) Clean Air Status and Trends Network (CASTNET) website, US EPA. https://java.epa.gov/castnet/clearsession.do Accessed 11 Jul 2022

USFWS (2022) National wetlands Inventory. U.S. Fish and Wildlife Service. https://www.fws.gov/program/national-wetlands-inventory/wetlands-mapper Accessed 15 Jul 2022

USGS (2022a) The National Map Viewer, U.S. Geological Survey. https://apps.nationalmap.gov/downloader/#/ Accessed on 06/07/2022

USGS (2022b) National Water Information System, U.S. Geological Survey. http://waterdata.usgs.gov/nwis Accessed 11/13/2022

Wang N, Chu X (2020) A new algorithm for delineation of surface depressions and channels. Water 12(1):7. https://doi.org/10.3390/w12010007

Wang X, Yang W, Melesse AM (2008) Using hydrologic equivalent wetland concept within SWAT to estimate streamflow in watersheds with numerous wetlands. Trans ASABE 51(1):55–72. https://doi.org/10.13031/2013.24227

Wang X, Shang S, Qu Z, Liu T, Melesse AM, Yang W (2010) Simulated wetland conservation-restoration effects on water quantity and quality at watershed scale. J Environ Manage 91(7):1511–1525. https://doi.org/10.1016/j.jenvman.2010.02.023

Wang G, Yang H, Wang L, Xu Z, Xue B (2014) Using the SWAT model to assess impacts of land use changes on runoff generation in headwaters. Hydrological Processes 28(3):1032–1042. https://doi.org/10.1002/hyp.9645

Wang P, Ouyang W, Wu Z, Cui X, Zhu W, Jin R, Lin C (2020) Diffuse nitrogen pollution in a forest-dominated watershed: source, transport and removal. J Hydrol 585:124833. https://doi.org/10.1016/j.jhydrol.2020.124833

Winter TC (2003) Hydrological, chemical, and biological characteristics of a prairie pothole wetland complex under highly variable climate conditions: the Cottonwood Lake area, east-central North Dakota. US Geological Survey Professional Paper 1675, Denver

Yang W, Liu Y, Ou C, Gabor S (2016) Examining water quality effects of riparian wetland loss and restoration scenarios in a southern Ontario watershed. J Environ Manage 174:26–34. https://doi.org/10.1016/j.jenvman.2016.03.001

Zeng L, Shao J, Chu X (2020) Improved hydrologic modeling for depression-dominated areas. J Hydrol 590:125269. https://doi.org/10.1016/j.jhydrol.2020.125269

Zeng L, Shen H, Cui Y, Chu X, Shao J (2022) Incorporating the filling-spilling feature of depressions into hydrologic modeling. Water 14(4):652. https://doi.org/10.3390/w14040652