东洞庭湖湿地生态系统健康评价
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摘要
旨在确定湿地生态负荷及环境容量,为制定环境区域规划及环境法规等提供科学依据。以国家级自然保护区湖南省东洞庭湖湿地为研究区,利用Mamdani FIS模型,构建了包含水体pH值,水体悬浮物浓度、土壤pH值、土壤含水量、植被类型数量、入侵物种数量、湿地面积变化率、人口密度、产业结构等9个影响因子的指标体系,进行了湿地生态系统健康评价。结果显示:东洞庭湖湿地生态系统健康评价得分为1.37分,健康状态介于亚健康和不健康之间。Mamdani FIS模型的非线性分析能力和基于专家意见的推理规则,提高了评价结果的客观性,对湖泊湿地生态环境保护政策的合理制定具有重要参考价值。
The aims are to determine the ecological load and environmental capacity of wetlands,and provide references for making environmental regional planning and environmental laws.Taking East Dongting Lake as the studying area,the Mamdani FIS(Fuzzy Reasoning System)model was used to construct the index system including nine factors,water pH,the suspended solids concentration in water,soil pH,soil water content,the number of vegetation types,the number of invasive species,the rate of wetland area change,the population density,and the industrial structure.The wetland ecosystem health assessment was carried out.The results showed that the health assessment score of East Dongting Lake wetland ecosystem was 1.37,the status of health was between sub-health and unhealthy.Based on the nonlinear analysis ability of Mamdani FIS model and the reasoning rules using expert opinions,the assessment results of wetland ecosystem health are more objective,and have important reference values for the reasonable formulation of the ecological environment protection policy for lake wetlands.
The aims are to determine the ecological load and environmental capacity of wetlands,and provide references for making environmental regional planning and environmental laws.Taking East Dongting Lake as the studying area,the Mamdani FIS(Fuzzy Reasoning System)model was used to construct the index system including nine factors,water pH,the suspended solids concentration in water,soil pH,soil water content,the number of vegetation types,the number of invasive species,the rate of wetland area change,the population density,and the industrial structure.The wetland ecosystem health assessment was carried out.The results showed that the health assessment score of East Dongting Lake wetland ecosystem was 1.37,the status of health was between sub-health and unhealthy.Based on the nonlinear analysis ability of Mamdani FIS model and the reasoning rules using expert opinions,the assessment results of wetland ecosystem health are more objective,and have important reference values for the reasonable formulation of the ecological environment protection policy for lake wetlands.
引文
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[19] illennium Ecosystem Assessment. Ecosystems and Human Wellbeing[M].Washington:Island Press, 2003.
[20]韩美,李艳红,李海亭,等.山东寿光沿海湿地生态系统健康诊断[J].中国人口·资源与环境,2006,16(4):78-83.
[21]肖治宇,陈昌富,季永新.自适应神经—模糊推理系统在水库边坡稳定性评价中的应用[J].水土保持通报,2011,31(5):186-190.
[2]徐丽婷,阳文静,吴燕平,等.基于植被完整性指数的鄱阳湖湿地生态健康评价[J].生态学报,2017,37(15):1-9.
[3]贾慧聪,曹春香,马广仁,等.青海省三江源地区湿地生态系统健康评价[J].湿地科学,2011,9(3):209-217.
[4]罗遵兰,赵志平,孙光,等.松花江流域湿地生态系统健康评价[J].水土保持研究,2015,22(1):105-114.
[5]王越,于玲红,李卫平,等.基于PSR模型的包头黄河湿地分区生态健康评价[J].内蒙古大学学报:自然科学版,2016,47(3):328-336.
[6]鞠美庭,王艳霞,孟伟庆,等.湿地生态系统的保护与评估[M].北京:化学工业出版社, 2009.
[7]钱逸凡,楼毅,初映雪,等.洞庭湖国际重要湿地生态系统健康和价值评价[J].湿地科学,2016,14(4):516-523.
[8]雷昆,张明祥.中国的湿地资源及其保护建议[J].湿地科学,2005,3(2):81-86.
[9]崔丽娟,赵欣胜.鄱阳湖湿地生态能值分析研究[J].生态学报,2004,24(7):1480-1485.
[10]高静湉,王晓云,李卫平,等.包头南海湿地生态系统健康评价[J].湿地科学,2017,15(2):207-213.
[11]廖富强,刘影,叶慕亚,等.鄱阳湖典型湿地生态环境脆弱性评价及压力分析[J].长江流域资源与环境,2008,17(1):133-137.
[12]蒋卫国,李京,李加洪,等.辽河三角洲湿地生态系统健康评价[J].生态学报,2005,5(3):408-414.
[13]杨柳,李泳慧,王俊才,等.基于B-IBI指数的温榆河生态健康评价[J].生态学报,2012,32(11):3313-3322.
[14]曾朝平,付翔,代翔宇,等.基于GIS和RS的郑州黄河湿地生态健康评价[J].测绘与空间地理信息, 2016,39(5):189-191.
[15] Grima M A. Neuro-Fuzzy modeling in engineering geology[M].Rotterdam:BALKEMAA, 2000:244.
[16]张纫兰,王少军,李江风.基于Mamdani FIS模型的滑坡易发性评价研究[J].岩土力学,2014,35(2):437-444.
[17] Organization for Economic Cooperation and Development(OECD). OECD Environmental Indicators:Development Measurement and Use[EB/OL].[2004-05-20]. http://www.oecd.org/dataoecd/7/47/24993546. pdf.
[18]钟飞,钟毓宁. Mamdani与Sugeno型模糊推理的应用研究[J].湖北工业大学学报,2005,20(2):28-30.
[19] illennium Ecosystem Assessment. Ecosystems and Human Wellbeing[M].Washington:Island Press, 2003.
[20]韩美,李艳红,李海亭,等.山东寿光沿海湿地生态系统健康诊断[J].中国人口·资源与环境,2006,16(4):78-83.
[21]肖治宇,陈昌富,季永新.自适应神经—模糊推理系统在水库边坡稳定性评价中的应用[J].水土保持通报,2011,31(5):186-190.