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Assessment on water resources carrying capacity in karst areas by using an innovative DPESBRM concept model and cloud model

机译:利用创新DPESBRM概念模型和云模型评估岩溶地区水资源承载力的评估

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The shortage of water resources in karst areas is mainly caused by the development of karst landforms, poor availability of water resources and the difficulty of utilization. To reasonably evaluate water resources carrying capacity (WRCC) of karst areas, based on characteristics of urban water resources utilization in karst areas, this study put forward DPESBRM (Driver-Pressure-Engineering water shortage-State-Ecological basis-Response-Management) concept model the first time to build an urban evaluation index system of WRCC in karst areas. Based on this index system and in allusion to uncertainties that exist during the evaluation process, a cloud model is used to represent index weights and perform comprehensive evaluation calculations, which fully considers the randomness and ambiguity of evaluation objects. WRCC from 2009 to 2018 were evaluated and were classified as five grades (Serious overload - Overload - Critical - Weak carrying capacity - Strong carrying capacity). Results proved that WRCC had improved year after year, gradually changing from a serious overload state in 2009 to a strong carrying capacity state in 2018.2009 and 2016 were classified as Ⅰ grade (serious overload). 2010 and 2011 were classified as Ⅱ grade (overload). 2012, 2013 and 2015 were classified as Ⅳ grade (weak bearing capacity). 2014,2017 and 2018 were classified as Ⅴ grade (strong bearing capacity). Cloud model assessment results are compared with that of TOPSIS method, and assessment results are basically unanimous. It shows that the established WRCC evaluation method based on cloud model in this study is reasonable and feasible. Population density, urbanization rate and per capital water consumption are important driving factors affecting WRCC. Hence, strengthening the construction of water conservancy facilities, optimizing the water consumption structure, improving the efficiency of industrial water use, reducing per capital water consumption, and narrowing urban water supply and demand gap are important measures to ensure WRCC.
机译:喀斯特地区水资源短缺主要是由于喀斯特地貌的发展,水资源可用性差和利用难度引起。本研究提出了基于喀斯特地区城市水资源利用特征的喀斯特地区水资源承载能力(WRCC),提出了DPESBRM(驱动压力 - 工程水短缺 - 国家生态基础响应管理)概念模型第一次建立岩溶地区WRCC城市评估指标体系。基于该索引系统并阐述评估过程中存在的不确定性,云模型用于表示索引权重并执行全面的评估计算,该计算完全考虑了评估对象的随机性和歧义。从2009年到2018年的WRCC评估并被归类为五个等级(严重过载 - 过载 - 临界 - 疲软的携带能力强劲)。结果证明,WRCC年又一年度提高,2009年逐渐从2009年严重过载国转变为2018年的强大承载能力国家,归类为Ⅰ级(严重过载)。 2010年和2011年被归类为Ⅱ级(超负荷)。 2012年,2013年和2015年被归类为ⅳ级(弱轴承能力)。 2014,2017和2018被归类为ⅴ等级(强轴承能力)。云模型评估结果与Topsis方法的比较,评估结果基本上是一致的。它表明,基于该研究中的云模型的已建立的WRCC评估方法是合理可行的。人口密度,城市化率和每个资本用水量是影响WRCC的重要推动因素。因此,加强水利设施的建设,优化水消耗结构,提高工业用水效率,每次资本用水减少,降低城市供水和需求差距是确保WRCC的重要措施。

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