首页|基于SRP-ES方法的淮河流域生态脆弱性评价——以安徽段为例

基于SRP-ES方法的淮河流域生态脆弱性评价——以安徽段为例

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淮河流域安徽段旱涝频繁,地貌、土壤和岩性复杂,人口密集,煤炭等矿产开发程度高,使得生态环境脆弱度较高,需对其展开研究.将生态系统服务功能分析纳入敏感性-恢复力-压力评价模型,构建评价方法.与以往聚焦于自然因素和社会因素的方法相比,该体系亦研究了流域生态系统与社会系统之间的关系.利用地理信息技术和空间主成分分析法,对该区域2010、2015、2020年生态脆弱性评价.研究结果表明:(1)淮河流域安徽段生态脆弱性以中重度脆弱为主,呈明显的"北高南低"分布格局.(2)2010-2020年淮河流域安徽段3个时段的生态脆弱性综合指数分别为3.84、3.31、3.63,整体呈先下降后上升的趋势.2010-2020年淮河流域安徽段生态脆弱性区域总体稳定,且有所好转,略微变化区域面积占比为77%,脆弱性降低区面积大于脆弱性增加区面积.研究区中、东部生态脆弱性先降低后升高.利辛县、霍邱县和寿县中部地区生态脆弱性降低,长丰县东部区域生态脆弱性升高.(3)淮河流域安徽段生态脆弱性呈现出强烈的空间正相关特征.低-低值区主要分布在霍邱县、寿县和长丰县;高-高值区集中分布在颍州区、颍泉区、颍东区、利辛县、蒙城县和固镇县北部.高-高聚集区域和低-低聚集区域分别向东和向西缓慢迁移.通过该评价体系分析了淮河流域安徽段生态脆弱性变化趋势,为淮河流域生态修复与可持续发展提供理论参考.
Ecological vulnerability evaluation of Huaihe river basin based on SRP-ES approach——A case study of Anhui section
The Anhui section of the Huaihe river basin experiences frequent droughts and floods,characterized by complex geomorphology,soil,and lithology.The region is densely populated and extensively developed for coal and other mineral resources,leading to high ecological vulnerability.This study aimed to address this by integrating ecosystem service function analysis into a sensitivity-resilience-pressure(SRP)evaluation model,thereby establishing a comprehensive assessment methodology.Unlike previous approaches that primarily focused on natural and social factors,this framework also examined the relationship between watershed ecosystems and social systems.Using geographic information technology and spatial principal component analysis,the ecological vulnerability of the region was evaluated for the years 2010,2015,and 2020.The findings revealed that:(1)The ecological vulnerability of the Anhui section of the Huaihe river basin was predominantly moderate to severe,exhibiting a clear"north high,south low"distribution pattern.(2)From 2010 to 2020,the composite index of ecological vulnerability for the three periods was 3.84,3.31,and 3.63,respectively,indicating an initial decline followed by an increase.Over this decade,the overall ecological vulnerability of the region remained stable with some improvements,with slightly changing areas accounting for 77%of the total area,and regions where vulnerability decreased outnumbering those where it increased.Specifically,the central and eastern parts of the study area showed an initial decrease followed by an increase in ecological vulnerability.In contrast,the central areas of Lixin county,Huoqiu county,and Shou county saw a reduction in ecological vulnerability,while the eastern region of Changfeng county experienced an increase.3.The ecological vulnerability of the Anhui section of the Huaihe river basin exhibited strong spatial positive correlation characteristics.Low-low value areas were mainly distributed in Huoqiu county,Shou county,and Changfeng county,while high-high value areas were concentrated in Yingzhou district,Yingquan district,Yindong district,Lixin county,Mengcheng county,and the northern part of Guzhen county.The high-high and low-low clustered regions showed a slow eastward and westward migration,respectively.This evaluation system provides an analysis of the trends in ecological vulnerability in the Anhui section of the Huaihe river basin,offering theoretical references for ecological restoration and sustainable development in the region.

ecological vulnerabilityecosystem servicesInVEST modelSRP modelspatial autocorrelation analysis

柏跃波、邓良、洪欣、徐立晨、项超生

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安徽大学资源与环境工程学院,合肥 230601

安徽省地质测绘技术院,合肥 230022

生态脆弱性 生态系统服务 InVEST模型 SRP模型 空间自相关分析

2024

环境工程学报
中国科学院生态环境研究中心

环境工程学报

CSTPCD北大核心
影响因子:0.804
ISSN:1673-9108
年,卷(期):2024.18(9)