首页|基于多时相RSEI的生态环境质量评价——以新民市为例

基于多时相RSEI的生态环境质量评价——以新民市为例

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  • NETL
  • NSTL
  • 万方数据
以辽宁省新民市作为研究对象，基于2014年、2017年、2020年的相近月份(5-6月)Landsat 8 OLI_TRIS数据，提取4个生态因子[绿度(NDVI)、湿度(WET)、干度(NDBSI)、热度(LST)]，采用主成分分析法构建遥感生态指数(RSEI)，对研究区域生态环境质量时空演变特征进行评价。结果表明，2014年、2017年、2020年新民市RSEI的均值分别为0。397、0。348、0。506，呈先降后升的趋势。2014-2020年，生态环境质量等级为差和较差的区域主要分布在西北区域，面积占比由62。5%降至33。2%;生态环境质量等级为较好和好的区域主要分布在东南区域，面积占比呈明显的先降低后升高趋势，由21。3%先下降到18。4%后上升到37。0%。4个因子中绿度和湿度对生态环境质量起到正面作用，其中湿度的正面影响较为显著;干度和热度起到负面作用，其中干度的负影响较为显著。
Eco-environmental quality evaluation based on multi-temporal RSEI:A case study in Xinmin City
Taking Xinmin City of Liaoning Province as the research object,based on the Landsat 8 OLI_TRIS data of similar months(May to June)in 2014,2017 and 2020,four ecological factors[greenness(NDVI),humidity(WET),dryness(NDBSI),heat(LST)]were extracted,and the remote sensing ecological index(RSEI)was constructed by principal component analysis to evaluate the spatial and temporal evolution characteristics of eco-environment quality in the study area.The results showed that the regional mean values of RSEI in Xinmin City in 2014,2017 and 2020 were 0.397,0.348 and 0.506 respectively,showing a trend of first de-creasing and then increasing.From 2014 to 2020,the areas with poor eco-environmental quality and relatively poor eco-environmen-tal quality were mainly distributed in the northwest region,and the area ratio decreased from 62.5%to 33.2%.The areas with relatively good eco-environmental quality and good eco-environmental quality were mainly distributed in the southeast,and the proportion of ar-ea showed an obvious trend of first decreasing and then increasing,from 21.3%to 18.4%and then rising to 37.0%.Among the four fac-tors,greenness and humidity played a positive role in the quality of eco-enviroment,and the positive effect of humidity was generally more significant;dryness and heat played a negative role,and the negative effect of dryness was more significant.

eco-environmental qualityLandsat 8 OLI_TRISremote sensing ecological indexprincipal component analysisXin-min City

王井利、余鹏程、蔡福、刘慧楠、高天娇

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沈阳建筑大学,沈阳 110168

中国气象局沈阳大气环境研究所,沈阳 110166

生态环境质量 Landsat8 OLI_TRIS 遥感生态指数(RSEI) 主成分分析 新民市

中国气象局沈阳大气环境研究所联合开放基金国家重点研发计划国家重点研发计划公益性行业科研专项

2021SYIAEKFZD052017YFD03017042016YFD030030720150312705

2024

10.14088/j.cnki.issn0439-8114.2024.04.011

湖北农业科学
湖北省农业科学院　华中农业大学　长江大学　黄冈师范学院

湖北农业科学

CSTPCD
影响因子：0.442
ISSN：0439-8114
年,卷(期)：2024.63(4)
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