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Impact assessment of industrial wastewater discharge in a river basin using interval-valued fuzzy group decision-making and spatial approach

机译:基于区间值模糊群决策和空间方法的流域工业废水排放影响评价

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Sustainable and integrated river basin planning and management is a complex process involving uncertain data at different stages of decision-making process. Moreover, there are multiple decision makers at different institutions with contrasting interests and objectives, and thus, a collaborative decision making is required to resolve the conflicts. Although the formulation or modeling of such problems under fuzzy framework provides a very strong ground to deal with the uncertain and complex judgments, there is scope to model the problem more accurately. The present study develops a novel approach of dealing with uncertainty associated with group decision making in a river basin, by extending fuzzy Delphi process using interval-valued fuzzy sets. A case study of assessing the impact of industrial wastewaters on the Ganges River basin, India, has also been presented to demonstrate the effectiveness of the proposed methodology. A total of 33 industrial units, mainly paper pulp, tanneries and textiles, discharging massive quantities of wastewater in the Ganges River basin have been chosen for the analysis. These industries are rated by the expert decision makers to represent their objective judgments (and/or subjective preferences) on the basis of ten essential sets of criteria such as impact on river, impact on groundwater, critical pollutants level, impact on public health. The ratings are analyzed and aggregated using modified fuzzy decision-making approach, and industries are ranked accordingly. To enhance the decision-making process, the results are also represented spatially under GIS environment. Analysis of results clearly demonstrates the contribution of crucial indicators/criteria in ensuring the sustainable use of water resources with respect to environmental, social and economic dimensions. The results obtained are compared and validated with the recent research works and reports of pollution control boards. The study recommends several policy implementations, primarily revisal in prescribed effluent discharge standards of the industries. The model developed herein can be an efficient and productive tool for complex group decisions in water resources planning by facilitating participation and knowledge sharing among the experts.
机译:可持续和综合的流域规划和管理是一个复杂的过程,在决策过程的不同阶段涉及不确定的数据。此外,在不同机构中有多个决策者,他们的利益和目标截然不同,因此需要协作决策来解决冲突。尽管在模糊框架下对此类问题的表述或建模为处理不确定性和复杂的判断提供了非常坚实的基础,但仍有范围可以更准确地对问题进行建模。本研究通过使用区间值模糊集扩展模糊德尔菲过程,开发了一种新颖的方法来处理流域群决策相关的不确定性。还提出了一个评估工业废水对印度恒河流域影响的案例研究,以证明所提出方法的有效性。总共选择了33个工业单位,主要是纸浆,制革厂和纺织品,用于排放恒河流域的大量废水。这些行业由专家决策者评定,以根据十种基本标准(例如对河流的影响,对地下水的影响,关键污染物水平,对公共健康的影响)代表其客观判断(和/或主观偏好)。使用改进的模糊决策方法对评级进行分析和汇总,并对行业进行相应排名。为了增强决策过程,还可以在GIS环境下在空间上表示结果。结果分析清楚地表明了关键指标/标准在确保水资源在环境,社会和经济方面的可持续利用方面的贡献。将获得的结果与污染控制委员会的最新研究工作和报告进行比较和验证。该研究建议了几种政策实施措施,主要是对行业规定的废水排放标准进行修订。通过促进专家之间的参与和知识共享,本文开发的模型可以成为水资源规划中复杂的群体决策的有效且富有成效的工具。

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