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Assessment of agricultural land suitability for irrigation with reclaimed water using geospatial multi-criteria decision analysis

机译:利用地理空间多标准决策分析评估农业土地适用性与再生水灌溉

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Water scarcity, climate variability and continuing growth in water demand have put severe pressure on high-quality freshwater sources. This challenge exacts the necessity to explore alternative water sources for agricultural irrigation. The objective of this study was to implement the integrated geospatial Multi-Criteria Decision Analysis (MCDA) with the Analytical Hierarchy Process (AHP) to evaluate the potentiality of reclaimed water use for agricultural irrigation in California. Five evaluation criteria included in this study were agricultural land (crop type), climate conditions, water policies, irrigation status, and proximity to wastewater treatment plants (WWTPs) respectively. The suitability maps for reclaimed water use were generated for three cases in terms of accessibility to WWTPs, their discharge volume and appropriate treatment processes respectively. In addition, a composite suitability map was produced using the hybrid model considering all three cases together. Results from this study led to a better understanding of sustainable reclaimed water use for crop irrigation at a regional level. It provided supporting evidence of the applicability of the GIS-MCDA method integrated with AHP technique for a larger geographical scale with a diverse crop pattern. This study established the importance of using both knowledge-based and data-driven criteria and sub-criteria in the decision framework. The results also highlighted how the spatial distribution of suitable areas for reclaimed water reuse is closely linked to the agricultural areas.
机译:水资源短暂,气候变异性和持续增长在水需求上对高质量淡水来源施加严重压力。这一挑战确切的是探索农业灌溉替代水源的必要性。本研究的目的是利用分析层次过程(AHP)实施集成的地理空间多标准决策分析(MCDA),以评估加州农业灌溉的再生用水潜力。本研究中包含的五项评估标准分别是农业用地(作物型),气候条件,水政政策,灌溉状态,分别对废水处理厂(WWTPS)的邻近。在对WWTPS的可访问性,其放电体积和适当的治疗过程中,在三种情况下产生了回收用水的适用性地图。此外,使用混合模型在一起,使用混合模型在一起使用混合模型。本研究的结果导致对区域一级的作物灌溉的可持续开垦水分使用更好地了解。它提供了支持与AHP技术集成的GIS-MCDA方法适用的证据表明,具有各种作物模式的较大地理标度。本研究建立了在决策框架中使用基于知识和数据驱动的标准和子标准的重要性。结果还突出了如何与农业领域密切相关的合适地区的适当区域的空间分布。

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