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面向赣江流域的生态修复时空特征遥感评估

Remote sensing evaluation of spatiotemporal characteristics of ecological restoration for river basins
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摘要 近年来赣江上游流域面临严重的水土流失、水环境污染和土壤侵蚀等生态环境问题,2016年以来赣州持续申报实施山水林田湖生态保护修复工作,因此开展修复前后生态质量遥感评估具有重要意义。本文基于2012—2022年Landsat影像,将归一化水色指数(MNFUI)和核归一化差异植被指数(kNDVI)融合,构建改进遥感生态指数(MRSEI),运用Mann-Kendall(M-K)检验法分析赣江流域生态环境质量时空变化趋势。结果表明:①与RSEI相比,MRSEI包含了更丰富的监测区水色状况信息,并缓解了植被指数过饱和问题,更适用于水域面积繁多的赣江上游流域;②2012—2022年研究区MRSEI均值为0.79、0.71、0.72、0.74、0.75、0.77,整体变化特征呈现先锐减后平缓抬升的趋势,与2016年启动的流域生态修复高度协调,验证了生态修复对于环境质量改善的成效:③赣江上游流域局部自相关的“高-高”集聚区和“低-低”集聚区范围随时间呈显著变化,“高-高”集聚区主要分布在流域的源头,而“低-低”集聚区则与赣南城市建成区域高度重合。研究结果可以为赣江流域生态系统修复工作提供数据参考。 In recent years,the upper reaches of the Gan River basin have faced serious ecological and environmental problems such as soil erosion,water pollution,and soil erosion.Since 2016,Ganzhou has continuously applied for and implemented ecological protection and restoration work for mountains,rivers,forests,fields,and lakes.Therefore,conducting remote sensing assessments of ecological quality before and after restoration is of great significance.This article is based on Landsat images from 2012 to 2022,and combines the modified normalized forel ule index(MNFUI)and kernel normalized difference vegetation index(kNDVI)to construct the modified remote sensing environmental index(MRSEI).The Mann-Kendall(M-K)test is used to analyze the spatiotemporal trends of ecological environment quality in the Ganjiang River Basin.The results showed that:①Compared with RSEI,MRSEI contains richer information on the water color status of the monitoring area and alleviates the problem of vegetation index oversaturation,making it more suitable for the upper reaches of the Gan River basin with a large water area.②The mean MRSEI values of the study area from 2012 to 2022 were 0.79,0.71,0.72,0.74,0.75,and 0.77,respectively.The overall trend showed a sharp decline followed by a gentle rise,which was highly coordinated with the watershed ecological restoration launched in 2016 and verified the effectiveness of ecological restoration in improving environmental quality.③The range of local autocorrelation“high-high”and“low-low”agglomeration areas in the upper reaches of the Ganjiang River basin showed significant changes over time,with the“high-high”agglomeration areas mainly distributed at the source of the basin,while the“low low”agglomeration areas highly overlapped with the built-up areas of cities in southern Jiangxi.The research results can provide data reference for ecosystem restoration work in the Ganjiang River basin.
作者 王炎 肖海平 张欣杰 WANG Yan;XIAO Haiping;ZHANG Xinjie(Jiangxi Vocational College of Environmental Engineering,Ganzhou 341000,China;Jiangxi University of Science and Technology,Ganzhou 341000,China;Dalian Surveying and Mapping Brigade,Dalian 116000,China)
出处 《测绘通报》 北大核心 2025年第8期70-75,82,共7页 Bulletin of Surveying and Mapping
基金 江西省自然科学基金(20212BAB204030) 江西省教育厅科学技术研究一般项目(GJJ214414)。
关键词 生态修复 遥感生态指数 时空趋势 赣江流域 ecological restoration remote sensing ecological index spatio-temporal trends Ganjiang River basin
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