Effective water resources management is vital for sustainable development, healthy ecosystems, stable socioeconomic, and human well-being. However, managing water resources faces challenges due to the involvement of m...
详细信息
Effective water resources management is vital for sustainable development, healthy ecosystems, stable socioeconomic, and human well-being. However, managing water resources faces challenges due to the involvement of multiple stakeholders and uncertainties in various hydrologic fluxes. This complexity makes it rare for research to simultaneously address the hidden uncertainties in both objectives and constraints. Here, we developed a scenario-based multi-objective fuzzy-credibilityconstrainedprogramming approach and applied it to the water resource management system (SMOFCP-WRMS) of the Zhaokou Yellow River Diversion Irrigation Area Phase II Project (ZKID-II). This method handles uncertainties represented by scenarios and fuzzy sets, while also resolving fuzzy uncertainty parameters within the multiple objectives and constraints of the model. We solve the SMOFCP-RWMS model by integrating the Nondominated sorting genetic algorithm III (NSGA-III) and compromise programming (CP) method. The results show that: (1) An increase in constraints violation risks (credibility level from 0.5 to 1.0) results in a decrease in water resources allocation and pollutant discharge by 25.95 x 106 6 m3 3 and 207.63 tonne, respectively, accompanied by a decline in net economic income by 68.04 x 106 6 CNY;(2) From extraordinary dry year to normal year (design frequencies from 95 % to 50 %) leads to a reduction in water shortage by 167.07 x 106 6 m3. 3 . Incorporating 'credibility levels' and 'design frequencies' would be beneficial for addressing uncertainties, including fuzzy information and discrete possibilities for the future;(3) Regarding the multi-objective model solution, the combined NSGA-III and CP approach demonstrates an average increase of 1.71 % in net economic benefits and 4.03 % in total pollution discharge, along with a 5.91 % reduction in the water deficit ration compared to the traditional CP method. Although the ecological benefits decrease slightly in the compromise-o
In arid and semi-arid regions, improper irrigation activities not only exacerbate water shortages, but also lead to environmental pollution such as soil salinization that hinders crop growth and agricultural sustainab...
详细信息
In arid and semi-arid regions, improper irrigation activities not only exacerbate water shortages, but also lead to environmental pollution such as soil salinization that hinders crop growth and agricultural sustainability. There has been a lack of agricultural water management tools that could support agricultural water management with salinization-related grey water footprints being considered and associated uncertainties being addressed. In this study, salinization-related grey water footprints were measured through accounting for relationships among irrigation, soil salinity, evapotranspiration and crop yield, and then incorporated into an agricultural water management model for supporting environmentally sound irrigation decisions. Such an agricultural water management model was also characterized by a newly proposed generalized fuzzy interval fractional programming (GFIFP) method that could address ratio problems of two objectives and dual uncertainties. The developed methodology coupling the GFIFP method and grey water footprints was applied to an irrigation region in northwestern China where water scarcity and soil salinization hindered local development. Five credibility levels corresponding to decision makers' varied satisfactory degrees over water availability, and nine weight coefficients of possibility and necessity measures were considered. Results showed that, in order to reduce negative environmental impacts while increasing economic benefits, more irrigation water should be allocated to wheat and sunflower rather than corn. When the credibility level is 0.5 and weight coefficient is 0.9, the system efficiency would be the highest. Compared to the benchmark year of 2018, this scenario would generate [0.330, 6.647] billion yuan more benefits and [16.0, 133.9] million m(3) less grey water footprints. Compared to three conventional approaches, GFIFP could provide decisions with more flexibility and less environmental impacts. The developed approach coul
This study aims to develop a multi-preference based interval fuzzy-credibilityconstrainedprogramming (MIFCP) approach for planning the regional-scale water-resources management system (RWMS) of Henan Province, China...
详细信息
This study aims to develop a multi-preference based interval fuzzy-credibilityconstrainedprogramming (MIFCP) approach for planning the regional-scale water-resources management system (RWMS) of Henan Province, China. This is the first attempt at planning RWMS through combining interval parameter programming (IPP), fuzzy-credibilityconstrainedprogramming (FCP) and three diverse attitudes of decision makers in one framework. MIFCP cannot only address uncertainties expressed by interval and fuzzy information but also present multiple preferences of decision makers towards conservative, neutral and radical attitudes. Solutions of multiple water resources, multiple water-receiving cities and multiple water-using departments in association with multiple attitudes of decision makers and multiple credibility levels are examined. Results reveal that over the planning horizon the total water supply under alpha = 0.6 (i.e. the set of elements that belong to a fuzzy set of credibility level with degree of membership at least a) for a radically oriented decision maker can be 1.80 x 10(9) m(3) higher than for the conservatively oriented decision maker. The obtained results also disclose that for the radically oriented decision maker, the proportion of water allocation for agriculture, industry, life and ecology during the entire horizon under alpha = 0.2 can respectively be 47.11%, 22.45%, 18.68% and 11.76%. These findings cannot only provide insights for Henan Province but also provide theoretical suggestions for other study regions.
Environmental problems associated with socio-economic development have been a growing concern facing many regional and/or national authorities. However, effective planning may encounter difficulties since uncertaintie...
详细信息
Environmental problems associated with socio-economic development have been a growing concern facing many regional and/or national authorities. However, effective planning may encounter difficulties since uncertainties existing in a number of impact factors and pollution-related processes are often not well acknowledged and reflected. Combining chance-constrainedprogramming and fuzzy credibility-constrained programming with interval parameters and stochastic programming, this study advances an inexact stochastic-fuzzy jointed chance-constrainedprogramming method for planning regional economic and environmental systems under multiple uncertainties presented as intervals, fuzzy sets and probability distributions. The developed method has been applied to a case of long-term energy management system with multiple energy resources and three communities. Emissions of sulphur dioxide and nitrogen oxides are controlled and capacity expansion is scheduled. The results can help to identify desired alternatives for planning regional development strategies, where compromised schemes are provided under an integrated consideration of economic efficiency and environmental protection under multiple uncertainties.
暂无评论