Assessment and Analysis on Self-recovery Capacity for Ecological Resources in Lixia River Watery Region

生态恢复力 评价方法 层次分析法 环境资源管理 水资源 环境科学 熵(时间箭头) 湿地 模糊逻辑 计算机科学 生态学 水资源管理 运筹学 数学 生态系统 工程类 人工智能 生物 量子力学 物理 可靠性工程
作者
Xiaocheng Wang,Ying Guo
出处
期刊:Journal of Coastal Research [BioOne (Coastal Education and Research Foundation)]
卷期号:93 (sp1): 362-362 被引量:1
标识
DOI:10.2112/si93-048.1
摘要

Wang, X. and Guo, Y., 2019. Assessment and analysis on self-recovery capacity for ecological resources in Lixia River watery region. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 362–370. Coconut Creek (Florida), ISSN 0749-0208.In this paper, maximal entropy fuzzy evaluation method and Ecps evaluation method are used to evaluate the self-recovery ability of ecological resources in Lixiahe River from river ecological resources and wetland ecological resources two aspects. Maximal entropy fuzzy evaluation method has randomness and fuzziness in analyzing the self-recovery ability. After determining the evaluation index, the self-recovery ability evaluation model of river ecological resources can be constructed to calculate the fuzzy evaluation value. Ecps evaluation method helps to construct a self-recovery capacity assessment system about Lixiahe River wetland ecological resources that includes its characteristics, process and service forms. In this method, analytic hierarchy process play a role in determining the weight of each index and calculating the comprehensive score of wetland resilience. In order to obtain the evaluation results, two calculation results are combined to make a contrast with the evaluation criteria of river ecological resources self-recovery ability. The experimental analysis found that the method can effectively assess the self-recovery ability of the ecological resources in Lixiahe River and meanwhile provide a scientific basis for improving the self-recovering ability and ecological environment of Lixiahe Water Town.

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