An index based approach to identify and prioritize critical areas for reclamation using SWAT model

Document Type : Research Paper

Authors

1 PhD student ,Watershed Management Department, Faculty of Natural Resources, Yazd University ,Yazd, Iran

2 Professor, Watershed Management Department, Faculty of Natural Resources, Yazd University, Yazd, Iran.

3 Assistant Professor, Water Resources and Environmental Engineering Research Group, University of Oulu, Finland

4 Assistant Prof., Faculty of Natural Resources, Shahrekord University, Shahrekord, Iran

5 Professor, Water Resources and Environmental Engineering Research Group, University of Oulu, Finland

Abstract

Erosion by water leads to considerable impacts on natural ecosystems and is accelerated in regions with high land use changes. In this study, through applying the K-means clustering approach on the output of SWAT model, the critical areas with respect to water erosion for Farsan Basin was prioritized for Best Management Practices (BMPs). Based on the results of SWAT model, three pollutant indicators were developed: i) contaminat Load per Unit Area Impact Index (LUAII), ii) contaminates Concentrating Impact Index (CII) and iii) the contaminat Load Impact Index (LII). The basin was divided into 26 sub-basins and according to the clustering results; the southern sub-basins which are situated on sloped areas (more than 25 degrees) were classified as high priority areas for management practice based on all indices. Sub-basins that are located in west, south west and south east have medium priority. These sub-basins are very sensitive to land use change including decreasing rangeland and increasing farming area. Among all sub-basins, those which are placed around two major streams are in stable condition because of low slope and low land use change. Finally, using the results of pollution indicators, we showed it was possible to reduce sediment and nutrient waste through implementing best management methods.
 

Keywords

References

Abbaspour, K.C. 2013. SWAT-CUP: SWAT Calibration and Uncertainty Programs - A User Manual, Swiss Federal Institute of Aquatic Science and Technology, Switzerland.
Blanco, H. and Lal, R. 2008. Principles of Soil Conservation and Management. Springer Science. 617.
Bowes. M.J., House, W.A., Hodgkinson, W.A. and Leach, D.V. 2005. Phosphorus-discharge hysteresis during storm events along a river catchment: the River Swale, UK. Water Research. 39, 751–762.
Busteed, P.R., Storm, D.E., White, M.J. and Stoodley, S.H. 2009. Using SWAT to target critical source sediment and phosphorus areas in the Wister Lake Basin, USA. American Journal of Environmental Sciences. 5(2), 156-163.
Chen, F., Fang, N. and Shi, Z. 2016. Using biomarkers as fingerprint properties to identify sediment sources in a small catchment. Science of the Total Environment. 557-558, 123-133.
Daggupati, P., Sheshukov, A., Douglas Mankin, K.R., Barnes, P.L. and Devlin D.L. 2009. Field-scale Targeting of cropland sediment yields using Arc SWAT. In: Twigg, K., C, Swyden and R, Srinivasan (eds), Proceeding of the international SWAT conference, Texas. A & M University. 76-83
Ficklin, D.L., Luo, Y. and Zhang, M. 2013. Watershed modelling of hydrology and water quality in the Sacramento River watershed, California. Hydrological Processes. 27(2), 236-250.
Fox, A.D., Desholm, M. and Kahlert, J. 2006. Christensen TK. Petersen K. Information needs to support environmental impact assessment of the effects of European marine offshore wind farms on birds. Special Issue: Wind, Fire and Water: Renewable Energy and Birds. 148, 129-144.
Fu, B.J., Meng, Q.H., Qiu, Y., Zhao, W.W., Zhang, Q.J. and Davidson, D.A. 2004. Effects of Land use on Soil Erosion and Nitrogen Loss in the Hilly area of the Loess Plateau, China. Land Degradation & Development. 15, 87-96
Gessesse, B., Bewket, W. and Bräuning A. 2015. Model‐Based Characterization and Monitoring of Runoff and Soil Erosion in Response to Land Use/land Cover Changes in the Modjo Watershed, Ethiopia. Land Degrad. Develop. 26, 711–724.
Giri, S., Nejadhashemi, P. and Woznicki, S. 2012. Evaluation of targeting methods for implementation of best management practices in the Saginaw River Watershed. Journal of Environmental Management 103, 24-40.
Himanshua, S.K., Pandey, A., Yadav, B. and Gupt, A. 2019. Evaluation of best management practices for sediment and nutrient loss control using SWAT model, Soil & Tillage Research 192, 42-58.
Ide, J., Nagafuchi, O., Chiwa, M., Kume, A., Otsuki, K. and Ogawa, S. 2007. Effects of discharge level on the load of dissolved and particulate components of stream nitrogen and phosphorus from a small afforested watershed of Japanese cypress (Chamaecyparis obtusa). Journal of Forest Research. 12, 45-56
Ide, J.I., Haga, H., Chiwa, M. 2008. and Otsuki K. Effects of antecedent rain history on particulate phosphorus loss from a small forested watershed of Japanese cypress (Chamaecyparis  obtusa). Journal of Hydrology. 352, 322-335.
Lindestrom, M.J. 2001. Lobb DA. Schumacher TE. Tillage erosion: an overview. Annals of Arid Zone. 40, 337-349.
Liu., Y., Wang, R., Guo, T., Engel, B., Flanagan, D., Lee, J., Li, S., Pijanowski. B., Collingsworth. P. and Wallace, C. 2019. Evaluating efciencies and cost-effectiveness of best management practices in improving agricultural water quality using integrated SWAT and cost evaluation tool. Journal of Hydrology. 577, 123-965.
Martelet, G., Truffert, C. and Tourlliere, B. 2006. Ledru P.Classifying airborne radiometry data with agglomerative hierarchical clustering: A tool for geological mapping in context of rainforest (French Guiana), International Journal of Applied Earth Observations and Geo-information. (8), 208-223.
Mihara, M., Yamamoto, N. and Ueno, T. 2005. Application of USLE for the prediction of nutrient losses in soil erosion processes. Paddy Water Environment. (3), 111–119.
Mishra, A., Kar, S. Singh V.P. 2007. Prioritizing Structural management by quantifying the effect of land use and landcover on watershed runoff and sediment yield. Water Recourse Management.(21), 1899-1913.
Nash, J.E. and Sutcliffe J.V. 1970. River flow forecasting though conceptual models. Part 1-A discussion of principles. Journal of hydrology. (10). 282-290.
Ndomba, P.M., Mtalo, F.W. and Killingtveit, A.A. 2008. guide SWAT model application on sediment yield modeling in Pangani river basin: Lesson Learnt. Journal Urban Environment Enginering. 2 (2), 53-62.
Niraula, R., Kalin,  L., Wang, R. and Srivastava, P. 2012. Determining nutrient and sediment critical sources areas with SWAT: Effect of lumped calibration. Transactions of the ASABE. 55(1), 137-147.
Noor, H., Mirnia, S.K,H., Fazli, S., Raisi, M.B. and Vafakhah, M. 2010. Application of MUSLE for the Prediction of phosphorus losses. Water Science and Technology. 62(4), 809-815.
Nugraha, H.S. 2011. Integration of stream sediment geochemical and airborne gamma-ray data for surficial lithological mapping using clustering methods, Master of Science Thesis, Twente University, Netherland, Supervisor: E.J.M. Caranza.
Panagopoulos, Y., Makropoulos, C., Baltas, E. and Mimikou, M.  2011. SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations. Ecological Modelling. 222(19), 3500-3512.
Pandey, V.K., Panda, S.N., Pandey, A. and Sudhakar S. 2009. Evaluation of effective management plan for an agricultural watershed using AVSWAT model, remote sensing and GIS. Environmental Geology. 56, 993-1008.
Patrick Laceby, J., McMahon, J., Evrard, O. and Olley J. 2015. A comparison of geological and statistical approaches to element selection for sediment fingerprinting. Journal of Soils Sediments. 15, 2117-2131.
Pimentel, D. 1993. World soil erosion and conservation. New York: Cambridge University Press. 364.
Pongpetch, N., Suwanwaree, P., Yossapol, C., Dasananda, S. and Kongjun, T. 2015. Using SWAT to assess the critical areas and nonpoint source pollution reduction best management practices in Lam Takong River Basin, Thailand. Environment Asia. 8(1), 41-52.
Ricci, G., Girolamo, A., Abdelwahab, O. and Gentile, F. 2018. Identifying sediment source areas in a Mediterranean watershed using the SWAT model, Land Degrad Dev. 29, 1233-1248.
Song, Y.C. and Meng, H.D. 2010. The application of Cluster Analysis in Geophysical data Interpretation, Computer Geosciences. 14, 263-271.
Tokhmechi, B., Memarian, H., Ahmad Noubari, H. and Moshiri, B. 2009. A Novel Approach for fracture Zone detection using petrophysical logs, Journal of Geophysics and Engineering. 6, 365-373.
Torabi Haghighi, A., Mohammadpour, R., Saremi, and Keshtkaran, H. 2009a. Watershed management and its effect on sedimentation in doroudzan dam. Sichuan Daxue Xuebao (Gongcheng Kexue Ban) /Journal of Sichuan University (Engineering Science Edition). 41, 242-248.
Torabi Haghighi A. Seyedseraji H. Keshtkaran. 2009b. Comparing the real value of sediment load with the results of erosion models in Kor River. Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition). 41: 319-324.
Tripathi, M.P., Panda, R.K. and Raghuwanshi N.S. 2003. Identification and prioritization of critical sub-watersheds for soil conservation management using the SWAT model. Biosystems Engineering. 85 (3), 365-379.
Tuppad, P. and Srinivasan, R. 2008. Bosque River environmental infrastructure improvement plan: Phase II BMP modeling report. Texas Water Resources Institute.
Uniyal, B., Jha, M.K., Verma, A.K.  and Kasargodu, P. 2020. Identification of Critical Areas and Evaluation of Best ManagementPractices using SWAT for Sustainable Watershed Management. Science of the Total Environment. 140737.
Van Oost, K., Govers, G. 2006. De Alba S. Quine TA. Tillage erosion: A review of controlling factors and implications for soil quality. Progress in Physical Geography. 30, 443-466
Xu, Z.X., Pang, J.P., Liu, C.M. and Li, J.Y. 2009. Assessment of runoff and sediment yield in the Miyun Reservoir catchment by using SWAT model. Hydrological Process. 23, 3619-3630.
Yaoze Liu, Ruoyu Wang, Tian Guo, Bernard A., Engel, Dennis C., Flanagan, John G., Lee, Li, S., Bryan, C., Pijanowski, Paris D., Collingsworth, and Carlington Wallace, W. 2019. Evaluating efciencies and cost-effectiveness of best management practices in improving agricultural water quality using integrated SWAT and cost evaluation tool. Journal of Hydrology. 577, 123-965.
Young, R.A., Olness, A.E., Mutchler, C.K. and Moldenhauer WC. 1986. Chemical and physical enrichments of sediment from cropland. Transaction of ASAE. 29 (1), 165-169.
Zare Garizi, A. and Talebi, A. 2016. Identification of critical sediment source areas across theGharesou watershed, Northeastern Iran, using hydrologicalmodeling. Environmental Resources Research. 4(1), 1-10.
Zhang, J.H., Lobb, D.A., Li, Y. and Liu, G.C. 2004. Assessment of tillage translocation and tillage erosion by hoeing on the steep land in hilly areas of Sichuan, China. Soil and Tillage Research. 75, 99-107
Environmental Resources Research
Volume 8, Issue 2
July 2020
Pages 147-160

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