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基于PSR模型的丹巴县生态环境质量评价

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文章利用PSR框架模型,选取人口密度、人均GDP、道路网密度、高程、坡度、坡向、地形起伏度、年降雨量、年均气温、潜在蒸散发、水源涵养、水网密度、灾害点密度、土地利用、植被覆盖度 15 个因子建立评价指标体系;利用层次分析法确定指标权重,分析了丹巴县 2022 年生态环境质量空间分布;借助地理探测器探讨了影响丹巴县生态环境质量的主要因素.
Evaluation of ecological environment quality in Danba County based on PSR model
To understand the current eco-environment status in Danba County,this paper uses the PSR model framework and selects 15 factors,including population density,per capita GDP,road network density,elevation,slope,aspect,topographic relief,annual rainfall,annual average temperature,potential evapotranspiration,water conservation,water network density,disaster point density,land use,and vegetation coverage,to establish an evaluation index system.This paper uses the analytic hierarchy process to determine index weights,analyzes the spatial distribution of eco-environment quality in Danba County in 2022,and explores the main factors influencing the eco-environment quality of Danba County using geodetector.

PSR modelDanba Countyeco-environmentgeodetector

魏霖、胡正红

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成都市勘察测绘研究院,四川 成都 610023

PSR模型 丹巴县 生态环境 地理探测器

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(12)