A decision-support system for cropland irrigation water management and agricultural non-point sources pollution control

References

• M.N. Ripa, A. Leone, M. Garnie, A.L. Porto, Agricultural land use and best management practices to control nonpoint water pollution 2006. Environ. Manage. 38 (2) (2006) 253–266.
   PubMed Web of Science ®Google Scholar
• R. Charbonneau, G.M. Kondolf, Land use change in California, USA: nonpoint sources water quality impacts. Environ. Manage. 17 (4) (1993) 453–460.
   Web of Science ®Google Scholar
• G.H. Huang, A hybrid inexact-stochastic water management model. European J. Operat. Res. 107 (1998) 137–158.
   Web of Science ®Google Scholar
• B. Chen, Climate change and pesticide loss in watershed systems: a simulation modeling study. J. Environ. Inform. 10 (2) (2007) 55–67.
   Web of Science ®Google Scholar
• X.H. Nie, G.H. Huang, D. Wang, H.L. Li, Robust optimization for inexact water quality management under uncertainty. Civil Eng. Environ. Syst. 25 (2) (2008) 167–184.
   Web of Science ®Google Scholar
• F. Agathos, D. Paschalis, P. Charikleia, GIS modeling of the impact of drip irrigation, of water quality and of soil’s available water capacity on Zea mays L. biomass yield and its biofuel potential. Desal. Water Treat. 13 (2010) 303–319.
   Web of Science ®Google Scholar
• J.P. Shim, M. Warkentin, J.F. Courtney, D.J. Power, R. Shards, C.H. Carlsson, Past, present and future of decision support technology. Decision Support Syst. 33 (2002) 111–126.
   Web of Science ®Google Scholar
• G.H. Huang, W. Sun, X.-h. Nie, X.-s. Qin, X.-d. Zhang, Development of a decision-support system for rural eco-environmental management in Yongxin County, Jiangxi Province. China. Environ. Model. Software 25 (2010) 24–42.
   Web of Science ®Google Scholar
• M. Li, P. Guo, S.Q. Fang, L.D. Zhang, An inexact fuzzy parameter two-stage stochastic programming model for irrigation water allocation under uncertainty. Stoch. Environ. Res. Risk Assess. 27 (6) (2013) 1441–1452.
   Web of Science ®Google Scholar
• R.D. Gulati, E. van Donk, Lakes in the Netherlands, their origin, eutrophication and restoration: state-of-the-art review. Hydrobiologia 468 (2002) 73–106.
   Web of Science ®Google Scholar
• S.T.Y. Tong, A.J. Liu, J.A. Goodrich, Climate change impacts on nutrient and sediment loads in amidwestern agricultural watershed. J. Environ. Inform. 9 (1) (2007) 18–28.
   Web of Science ®Google Scholar
• V. Nangia, C. de Fraiture, H. Turral, Water quality implications of raising crop water productivity. Agric. Water Manage. 95 (2008) 825–835.
   Web of Science ®Google Scholar
• O. Salazar, I. Wesstrőm, M.A. Youssef, R.W. Skaggs, A. Joel, Evaluation of the DRAINMOD-N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden. Agric. Water Manage. 96 (2009) 267–281.
   Web of Science ®Google Scholar
• G. Kyungik, W. Seungkyung, Non-point sources analyses in paved areas using statistical methods - case study of vortex type. Desal. Water Treat. 40 (2012) 326–333.
   Web of Science ®Google Scholar
• Y.P. Li, G.H. Huang, S.L. Nie, Planning water resources management systems using a fuzzy21 boundary interval-stochastic 1 programming method. Adv. Water Resour. 33 (2010) 1105–1117.
   Web of Science ®Google Scholar
• W. Li, Y.P. Li, C.H. Li, An inexact two-stage water management model for planning agricultural irrigation under uncertainty. Agric. Water Manage. 97 (2010) 1905–1914.
   Web of Science ®Google Scholar
• L. He, C.W. Chan, G.H. Huang, et al., A probabilistic reasoning-based decision support system for selection of remediation technologies for prtroleum-contaminated sites. Expert Syst. Applic. 30 (2006) 783–795.
   Web of Science ®Google Scholar
• M. Matthies, C. Giupponi, B. Ostendorf, Preface-environmental decision support systems: current issues, methods and tools. Environ. Model. Software 22 (2007) 123–127.
   Web of Science ®Google Scholar
• C. Giupponi, J. Mysiak, A. Fassio, A. Cogan, MULINO-DSS: a computer tool for sustainable use of water resources at the catchment scale. Math. Comp. Simulation 64 (2004) 13–24.
   Web of Science ®Google Scholar
• Kazimierz A. Salewicz, N. Mikiyasu, Development of a web-based decision support system (DSS) for managing large international rivers. Global Environ. Change 14 (2004) 25–37.
   Web of Science ®Google Scholar
• P. Stefano, M.Sechi Giovanni, Z. Paola, A DSS for water resourcess management under uncertainty by scenario analysis. Environ. Model. Software 20 (2005) 1031–1042.
   Web of Science ®Google Scholar
• A. Fassio, C. Giupponi, R. Hiederer, C. Simota, A decision support tool for simulating the effects of alternative policies affecting water resources: an application at the European scale. J. Hydrology 304 (1–4) (2005) 462–476.
   Web of Science ®Google Scholar
• S. Ahmad, S.P. Simonovic, An intelligent decision support system for management of floods. Water Resour. Manage. 20 (2006) 391–410.
   Web of Science ®Google Scholar
• C. Giupponi, Decision support systems for implementing the European water framework directive: the MULINO approach. Environ. Model. Software 22 (2) (2007) 248–258.
   Web of Science ®Google Scholar
• H.L. Theo, Claassen Experiences with DSS in ecologically based water management in the province of Friesland. Ecol. Eng. 30 (2007) 176–186.
   Web of Science ®Google Scholar
• M. Volk, J. Hirschfeld, G. Schmidt, C. Bohn, A. Dehnhardt, S. Liersch, L. Lymburner, A SDSS-based ecological-economic modelling approach for integrated river basin management on different scale levels of the project FLUMAGIS. Water Resour. Manage. 21 (12) (2007) 2049–2061.
   Web of Science ®Google Scholar
• M. Almiñana, L.F. Escudero, M. Landete, J.F. Monge, et al., WISCHE: A DSS for water irrigation scheduling. Omega 38 (2010) 492–500.
   Web of Science ®Google Scholar
• Y. Panagopoulos, C. Makropoulos, M. Mimikou, Decision support for diffuse pollution management. Environ. Model. Software 30 (2012) (2012) 57–70.
   Google Scholar
• Y.P. Cai, G.H. Huang, Z.F. Yang, W. Sun, B. Chen, Investigation of public’s perception towards rural sustainable development based on a two-level expert system. Expert Syst. Applic. 36 (2009) 8910–8924.
   Web of Science ®Google Scholar
• B. Hayes-Roth, An architecture for adaptive intelligent systems. Artif. Intel. 72 (1–2) (1995) 329–365.
   Web of Science ®Google Scholar