[ Log In | Register]
! Skip Navigation Links
Skip Navigation Links
Image of Journal of Applied Nonlinear Dynamics
ISSN:2325-6192 (print)
ISSN:2325-6206 (online)
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn

A Multicriteria Index System for the Selection of Best Management Practices at the Watershed Scale

Journal of Environmental Accounting and Management 7(3) (2019) 323--336 | DOI:10.5890/JEAM.2019.09.006

Lei Chen, Yuechen Xiao, Cheng Sun, Jiajia Xu, Zhenyao Shen

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, P.R. China

Download Full Text PDF

 

Abstract

The selection of Best Management Practices (BMPs) is the key of nonpoint source pollution control at a watershed scale. To date, there are no comprehensive methods or corresponding tools for the selection of BMPs by considering the operation constraints on local spatial conditions, especially for those large-scale watersheds. In this study, a new method was developed to provide economically, ecologically and operationally effective solutions, which integrates the Geographic Information System-based multicriteria index analysis with a watershed model. Land use, area, soil type and slope were used as potential constraints for selection system. This method helps identify the potential placements for BMPs at the watershed scale and reduce the work of an accurate algorithm-based optimization of BMPs placement in watershed. The system was validated with Soil and Water Assessment Tool in Daning River watershed, the Three Gorges Reservoir Region, China. Based on the results, the new approach provides more specific potential sites for BMPs than traditional methods at a watershed scale. Within the new framework, the vegetative filter strip was suggested as the most widespread practice, while the constructed wetland is the least effective option. The area with relatively flat agricultural plains was suitable for most practices, suggesting a more operationally effective scheme if the new method was used. The system developed in this study could easily extend to other watersheds to provide an objective selection method and the potentialsite of BMPs.

Acknowledgments

This research was Funded by the National Natural Science Foundation of China (No. 51779010), the Fund for Innovative Research Group of the National Natural Science Foundation of China (No. 51721093), and the Interdiscipline Research Funds of Beijing Normal University.

References

  1. [1]  Anand, S., Mankin, K.R., McVay, K.A., Janssen. K.A., Barnesand, P.L., and Pierzynski, G.M. (2007), Calibration and validation of ADAPT and SWAT for field-scale prediction, Journal of The American Water Resources Association, 43, 899-910.
  2. [2]  Arabi, M., Govindaraju, R., Hantush, M., and Bernard, E.A. (2005), Evaluation of long-term performance of best management practices in two small watersheds, 289-309.
  3. [3]  Arabi, M., Govindaraju, R.S., and Hantush, M.M. (2006), Cost-effective allocation of watershed management practices using a genetic algorithm, Water Resources Research, 42(10), 2405-2411.
  4. [4]  Arnold, J.G., Srinivasan, R., Muttiah, R.S., and Williams, J.R. (1998), Large area hydrologic modeling and assessment Part I: Model development, Journal of the American Water Resources Association, 34(1), 7389.
  5. [5]  Benham, B.L., Robbins, J.H., Brannan, K.M., Mostaghimi, S., Dillaha, T.A., Pease, J.W., and Smith, E.P. (2005), Development of survey-like assessment tools to assess agricultural best management practice performance potential, Journal of Soil & Water Conservation, 60(5), 962-966.
  6. [6]  Boucher, A.B., Tremwel, T.K., and Campbell, K.L. (1995), Best management practices for water quality improvement in the Lake Okeechobee watershed, Ecological Engineering, 5(2-3), 341-356.
  7. [7]  Cantero-Martínez, C., Plaza-Bonilla, D., Angás, P., and Álvaro-Fuentes, J. (2016), Best management practices of tillage and nitrogen fertilization in Mediterranean rainfed conditions: Combining field and modelling approaches, European Journal of Agronomy, 79, 119-130.
  8. [8]  Carkovic, A.B., Pastén, P.A., and Bonilla, C.A. (2015), Sediment composition for the assessment of water erosion and nonpoint source pollution in natural and fire-affected landscapes, Science of The Total Environment, 512-513(Supplement C), 26-35.
  9. [9]  Castillo, M.M., Allan, J.D., and Brunzell, S. (2000), Nutrient Concentrations and discharges in a midwestern agricultural catchment, Journal of Environmental Quality, 29(4), 1142-1151.
  10. [10]  Chen, L., Dai, Y., Zhi, X., Xie, H., and Shen, Z.Y. (2018), Quantifying nonpoint source emissions and their water quality responses in a complex catchment: a case study of a typical urban-rural mixed catchment, Journal of Hydrology, 559, 110-121.
  11. [11]  Chen, L., Qiu, J.L, Wei, G.Y., and Shen, Z.Y. (2015), A preference-based multi-objective model for the optimization of best management practices, Journal of Hydrology, 520, 356-366.
  12. [12]  Chen, L., Wei, G.Y., and Shen, Z.Y. (2016), Incorporating water quality responses into the framework of best management practices optimization, Journal of Hydrology, 541, 1363-1374.
  13. [13]  Chen, L., Zhong, Y.C., Wei, G.Y., Cai, Y., and Shen, Z.Y. (2014), Development of an integrated modeling approach for identifying multilevel non-point source priority management areas at the watershed scale, Water Resources Research, 50, 4095-4109.
  14. [14]  Chiang, L.C., Chaubey, I., Hong, N.M., Lin, Y.P., and Tao, H. (2012), Implementation of BMP strategies for adaptation to climate change and land use change in a pasture-dominatedwatershed, International Journal of Environmental Research & Public Health, 9(10), 3654-3684.
  15. [15]  Cho, J., Bosch, D., Vellidis, G., Lowrance, R., and Strickland, T. (2013),Multi-site evaluation of hydrology component of SWAT in the coastal plain of southwest Georgia, Hydrological Processes, 27(12), 1691–1700.
  16. [16]  Deeks, L.K., Duzant, J.H., Owens, P.N., andWood, G.A. (2012), Chapter five - A decision support framework for effective design and placement of vegetated buffer strips within agricultural field systems, in: D.L. Sparks (Ed), Advances in Agronomy, 114, 225-248.
  17. [17]  Di Matteo, M., Dandy, G.C., and Maier, H.R. (2017), A multi-stakeholder portfolio optimization framework applied to stormwater best management practice (BMP) selection, Environmental Modelling & Software, 97(Supplement C), 16- 31.
  18. [18]  Djodjic, F., Montas, H., Shirmohammadi, A., Bergström, L., and Ulén, B. (2002), A decision support system for phosphorus management at a watershed scale, Journal of Environmental Quality, 31(3), 937-945.
  19. [19]  Flügel, W.A. (2010), Delineating hydrological response units by geographical information system analyses for regional hydrological modelling using PRMS/MMS in the drainage basin of the River Bröl, Germany, Hydrological Processes, 9(3-4), 423-436.
  20. [20]  Gao, J., Wang, R., Huang, J., and Liu, M. (2015), Application of BMP to urban runoff control using SUSTAIN model: Case study in an industrial area, Ecological Modelling, 318, 177-183.
  21. [21]  Gassman, P.W., Reyes, M.R., Green, C.H., and Arnold, J.G. (2007), The soil and water assessment tool: historical development, Applications, and Future Research Directions, 50(4), 1211-1250.
  22. [22]  Giri, S. and Nejadhashemi, A.P. (2014), Application of analytical hierarchy process for effective selection of agricultural best management practices, Journal of Environmental Management, 132, 165-177.
  23. [23]  Giri, S., Nejadhashemi, A.P., and Woznicki, S.A. (2012), Evaluation of targeting methods for implementation of best management practices in the Saginaw River Watershed, Journal of Environmental Management, 103, 24-40.
  24. [24]  Golmohammadi, G., Rudra, R., Dickinson, T., Goel, P., and Veliz, M. (2017), Predicting the temporal variation of flow contributing areas using SWAT, Journal of Hydrology, 547, 375-386.
  25. [25]  Han, L., Huang, M., Ma, M., Wei, J., Hu, W., and Chouhan, S. (2017), Evaluating sources and processing of nonpoint source nitrate in a small suburban watershed in China, Journal of Hydrology, 559, 661-668.
  26. [26]  Jang, S.S., Ahn, S.R., and Kim, S.J. (2017), Evaluation of executable best management practices in Haean highland agricultural catchment of South Korea using SWAT, Agricultural Water Management, 180(Part B), 224-234.
  27. [27]  Javidi, S.R., Zarghami, M., Nejadhashemi, A.P., Sharifi, M.B., Herman, M.R., and Daneshvar, F. (2016), Application of risk-based multiple criteria decision analysis for selection of the best agricultural scenario for effective watershed management, Journal of Environmental Management, 168(Supplement C), 260-272.
  28. [28]  Kaini, P., Artita, K., and Nicklow, J.W. (2012), Optimizing structural best management practices using SWAT and genetic algorithm to improve water quality goals, Water Resources Management, 26(7), 1827-1845.
  29. [29]  Lam, Q.D., Schmalz, B., and Fohrer, N. (2011), The impact of agricultural Best Management Practices on water quality in a North German lowland catchment, Environmental Monitoring & Assessment 183(1-4), 351-379.
  30. [30]  Laurent, F. and Ruelland, D. (2011), Assessing impacts of alternative land use and agricultural practices on nitrate pollution at the catchment scale, Journal of Hydrology, 409(1–2), 440-450.
  31. [31]  Liu, Y., Engel, B.A., Flanagan, D.C., Gitau, M.W., Mcmillan, S.K., and Chaubey, I. (2017), A review on effectiveness of best management practices in improving hydrology and water quality: Needs and opportunities, Science of the Total Environment, 601-602, 580-593.
  32. [32]  Magette, W.L., Brinsfield, R.B., Palmer, R.E., and Wood, J.D. (1989), Nutrient and sediment removal by vegetated filter strips, Transactions of the American Society of Agricultural Engineers, 32(2), 663-667.
  33. [33]  Maringanti, C., Chaubey, I., and Popp, J. (2009), Development of a multiobjective optimization tool for the selection and placement of best management practices for nonpoint source pollution control,Water Resources Research, 45(6), 51-53.
  34. [34]  Maringanti, C., Chaubey, I., Arabi, M., and Engel, B. (2011), Application of a multi-objective optimization method to provide least cost alternatives for NPS pollution control, Environmental Management, 48(3), 448-461.
  35. [35]  Miller, J.R., Mackin, G., Lechler, P., and Lord, M. (2013), Influence of basin connectivity on sediment source, transport, and storage within the Mkabela Basin, South Africa, Hydrology & Earth System Sciences, 17(2), 761-781.
  36. [36]  Nanjing institute of Chinese academy of sciences, (1995), China Soil System Classification, China.
  37. [37]  Neitsch, S., Arnold, J., Kiniry, J.R., Srinivasan, R., and Williams, J.R. (2002), Soil and Water Assessment Tool (SWAT): Theoretical Documentation, Version 2000,Water Resources Institute, College Station.
  38. [38]  Ouyang, W., Hao, F.H., Wang, X.L., and Cheng, H.G. (2008), Nonpoint Source Pollution Responses Simulation for Conversion Cropland to Forest in Mountains by SWAT in China, Environmental Management, 41(1), 79-89.
  39. [39]  Özcan, Z., Kentel, E., and Alp, E. (2017), Evaluation of the best management practices in a semi-arid region with high agricultural activity, Agricultural Water Management, 194(Supplement C), 160-171.
  40. [40]  Pacheco, F.A.L., Varandas, S.G.P., Sanches Fernandes, L.F., and Valle Junior, R.F. (2014), Soil losses in rural watersheds with environmental land use conflicts, Science of the Total Environment, 485-486, 110-120.
  41. [41]  Pan, D., Gao, X., Dyck,M., Song, Y.,Wu, P., and Zhao, X. (2017), Dynamics of runoff and sediment trapping performance of vegetative filter strips: Run-on experiments and modeling, Science of the Total Environment, 593–594, 54-64.
  42. [42]  Panagopoulos, Y., Makropoulos, C., and Mimikou, M. (2012), Decision support for diffuse pollution management Environmental Modelling & Software 30, 57-70.
  43. [43]  Rodriguez, H.G., Popp, J., Maringanti, C., and Chaubey, I. (2011), Selection and placement of best management practices used to reduce water quality degradation in Lincoln Lake watershed, Water Resources Research, 47(1), 1-13.
  44. [44]  Ryu, J., Cho, J., Kim, I.J., Mun, Y., Moon, J.P., Kim, N.W., Kim, S.J., Kong, D.S., and Lim, K.J. (2011), Technical Note: Enhancement of SWAT-REMM to Simulate Reduction of Total Nitrogen with Riparian Buffer, Transactions of the Asabe, 54(5), 1791-1798.
  45. [45]  Santhi, C., Arnold, J.G., Williams, J.R., Dugas, W.A., Srinivasan, R., and Hauck, L.M. (2001), Validation of the swat model on a large Rwer basin with point and nonpoint sources, Journal of the American Water Resources Association, 37(5), 1169-1188.
  46. [46]  Schmitt, T.J., Dosskey,M.G., and Hoagland, K.D. (1999), Filter Strip Performance and Processes for Different Vegetation, Widths, and Contaminants, Journal of Environmental Quality, 28(5), 1479-1489.
  47. [47]  Sheikhzeinoddin, A. and Esmaeili, A. (2017), Ecological and economic impacts of different irrigation and fertilization practices: case study of a watershed in the southern Iran, Environment Development & Sustainability, 19, 1-17.
  48. [48]  Shen, Z., Hong, Q., Yu, H., and Liu, R. (2008), Parameter uncertainty analysis of the non-point source pollution in the Daning River watershed of the Three Gorges Reservoir Region, China, Science of the Total Environment, 405(1-3), 195-205.
  49. [49]  Shen, Z.Y., Chen, L., Liao, Q., Liu, R.M., and Huang, Q. (2013), A comprehensive study of the effect of GIS data on hydrology and non-point source pollution modeling, Agricultural Water Management, 118(1), 93-102.
  50. [50]  Shen, Z.Y., Zhong, Y.C., Huang, Q., and Chen, L. (2015), Identifying non-point source priority management areas in watersheds with multiple functional zones, Water Research, 68, 563-571.
  51. [51]  Sheshukov, A.Y., Douglasmankin, K.R., Sinnathamby, S., and Daggupati, P. (2016), Pasture BMP effectiveness using an HRU-based subarea approach in SWAT., Journal of Environmental Management, 166, 276-284.
  52. [52]  Simpkins,W.W.,Wineland, T.R., Andress, R.J., Johnston, D.A., Caron, G.C., Isenhart, T.M., and Schultz, R.C. (2002), Hydrogeological constraints on riparian buffers for reduction of diffuse pollution: examples from the Bear Creek watershed in Iowa, USA, Water Science and Technology, 45(9), 61-68.
  53. [53]  Stottmeister, U., Wießner, A., Kuschk, P., Kappelmeyer, U., Kästner, M., Bederski, O., M¨uller, R.A., and Moormann, H.(2003), Effects of plants and microorganisms in constructed wetlands for wastewater treatment Biotechnology Advances, 22(1), 93-117.
  54. [54]  Taguas, E.V., Yuan, Y., Bingner, R.L., and Gómez, J.A. (2012),Modeling the contribution of ephemeral gully erosion under different soil managements: A case study in an olive orchard microcatchment using the AnnAGNPS model, CATENA, 98(Supplement C), 1-16.
  55. [55]  Tan, E., Hsu, T., Huang, X., Lin, H., and Kao, S. (2017), Nitrogen transformations and removal efficiency enhancement of a constructed wetland in subtropical Taiwan, Science of The Total Environment, 601-602(SupplementC), 1378-1388.
  56. [56]  Tuppad, P., Kannan, N., Srinivasan, R., Rossi, C.G., and Arnold, J.G. (2010), Simulation of agricultural management alternatives for watershed protection., Water Resources Management, 24(12), 3115-3144.
  57. [57]  Valle Junior, R.F., Varandas, S.G.P., Sanches Fernandes, L.F., and Pacheco, F.A.L. (2014), Environmental land use conflicts: A threat to soil conservation, Land Use Policy, 41, 172-185.
  58. [58]  Vianello, M., Vischetti, C., Scarponi, L., and Zanin, G. (2005), Herbicide losses in runoff events from a field with a low slope: Role of a vegetative filter strip, Chemosphere, 61(5), 717-725.
  59. [59]  Vigiak, O., Malagó, A., Bouraoui, F., Vanmaercke, M., Obreja, F., Poesen, J., Habersack, H., Fehér, J., and Grošelj, S. (2017), Modelling sediment fluxes in the Danube River Basin with SWAT, Science of the Total Environment, 599–600, 992-1012.
  60. [60]  Vymazal, J. (2007), Removal of nutrients in various types of constructed wetlands, Science of the Total Environment, 380(1–3), 48-65.
  61. [61]  Wang, W., Xie, Y., Bi, M., Wang, X., Lu, Y., and Fan, Z. (2018), Effects of best management practices on nitrogen load reduction in tea fields with different slope gradients using the SWAT model, Applied Geography, 90(Supplement C), 200-213.
  62. [62]  Wang, Y., Montas, H.J., Brubaker, K.L., Leisnham, P.T., Shirmohammadi, A., Chanse, V., and Rockler, A.K. (2017), A Diagnostic Decision Support System for BMP Selection in Small Urban Watershed, Water Resources Management, 31(5), 1649-1664.
  63. [63]  Young, K.D., Dymond, R.L., and Kibler, D.F. (2011), Development of an Improved Approach for Selecting Storm-Water Best Management Practices, Journal of Water Resources Planning & Management, 137(3), 268-275.
  64. [64]  Zhao, Z., Chang, J., Han, W., Wang, M., Ma, D., Du, Y., Qu, Z., Chang, S.X., and Ge, Y. (2016), Effects of plant diversity and sand particle size on methane emission and nitrogen removal in microcosms of constructed wetlands, Ecological Engineering, 95, 390-398.

Copyright © 2011-2024 L & H Scientific Publishing. All rights reserved. Wildcard SSL Certificates