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基于遥感数据对某农村区域黑臭水体解译识别

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目前地面监测手段、传统人工摸排难以快速、有效地获取具有分散性、反复性、季节性等特点的大范围黑臭水体现状,而基于遥感技术的农村黑臭水体识别方法,具有范围广、速度快,有利于长期动态监测的优势。在充分掌握调查区的黑臭水体相关背景的基础上,以合肥高分中心自有的国产高分二号卫星及购置的吉林一号卫星等影像数据为主要数据源,采用计算机解译和人工交互的方法获取肥西县水体数据,并依据黑臭水体光谱特征开展反演工作,进行野外核查并形成黑臭水体工作台账。结果表明:高分辨率卫星的幅宽一般较小,受云雨河轨道回访周期影响,单颗卫星的短时间内覆盖能力优先;遥感解译具有识别速度快、精度高的特点;人工现场复核是对遥感影像解译的有利补充手段;实地核查监测需要考虑天气原因,同时进一步挖掘和丰富对于黑臭水体的识别特征。
Interpretation and Identification of Rural Black and Odorous Water Bodies in a Region Based on Remote Sensing Data
At present,it is difficult for traditional manual mapping and ground monitoring methods to quickly ob-tain the status quo of large-scale black and odorous water bodies with the characteristics of dispersion,seasonality,and recurrence,while the rural black and odorous water identification method based on remote sensing technology has the advantages of wide range,fast speed,and convenient for long-term dynamic monitoring.On the basis of fully grasping the relevant background of the black and odorous water bodies in the survey area,this study took the image data of Hefei Gaofen Center and the purchased Jilin No.1 as the main data sources,and used the meth-ods of computer interpretation and artificial interaction to obtain the water data of Feixi County.Inversion work is carried out according to the spectral characteristics of the black and odorous water bodies.Field verification is carried out and a working ledger of black and odorous water bodies is formed.The results show that the width of high-resolution satellites is generally small,which is affected by the return visit cycle of Yunyuhe orbit.The short-term coverage capability of a single satellite is preferred;Remote sensing interpretation has the characteristics of fast recognition speed and high accuracy.Manual on-site review is a beneficial supplementary means for remote sensing image interpretation.On-site verification and monitoring need to consider weather reasons.At the same time,the identification characteristics of black and odorous water bodies should be further excavated and enriched.

satellite remote sensingblack and odorous water bodieswater pollution

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合肥市肥西县生态环境分局,安徽 肥西 231200

卫星遥感 黑臭水体 水污染

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(12)