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基于 DPESBRM 概念模型和云模型的岩溶区水资源承载力评价

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

机构信息

Guizhou Institute of Technology, Guiyang 550003, Guizhou, PR China; School of Resources & Safety Engineering, Central South University, Changsha 410083, Hunan, PR China.

School of Resources & Safety Engineering, Central South University, Changsha 410083, Hunan, PR China.

出版信息

Sci Total Environ. 2021 May 1;767:144353. doi: 10.1016/j.scitotenv.2020.144353. Epub 2020 Dec 29.

Abstract

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.

摘要

喀斯特地区水资源短缺主要是由喀斯特地貌的发育、水资源的可利用性差和利用难度大造成的。为了合理评价喀斯特地区水资源承载能力(WRCC),本研究基于喀斯特地区城市水资源利用的特点,首次提出 DPESBRM(驱动因素-压力-工程缺水-状态-生态基础-响应-管理)概念模型,构建了喀斯特地区城市 WRCC 评价指标体系。基于该指标体系,针对评价过程中存在的不确定性,采用云模型表示指标权重,并进行综合评价计算,充分考虑了评价对象的随机性和模糊性。对 2009 年至 2018 年的 WRCC 进行评价,并分为五个等级(严重超载-超载-临界-弱承载能力-强承载能力)。结果表明,WRCC 逐年提高,逐渐从 2009 年的严重超载状态转变为 2018 年的强承载能力状态。2009 年和 2016 年被评为 I 级(严重超载)。2010 年和 2011 年被评为 II 级(超载)。2012 年、2013 年和 2015 年被评为 IV 级(弱承载能力)。2014 年、2017 年和 2018 年被评为 V 级(强承载能力)。云模型评估结果与 TOPSIS 方法的评估结果基本一致,表明本研究建立的基于云模型的 WRCC 评价方法是合理可行的。人口密度、城市化率和人均用水量是影响 WRCC 的重要驱动因素。因此,加强水利设施建设、优化用水结构、提高工业用水效率、降低人均用水量、缩小城市供用水缺口是保障 WRCC 的重要措施。

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