绿色科技2024,Vol.26Issue(2) :151-156.

基于地面实测光谱的城市黑臭水体关键水质指标反演研究

Study on Key Water Quality Indicators Remote Sensing Inversion Model Based on Spectral Characterization of Black and Odorous Water

王升帅 韩留生 王翔宇 张至一 夏潭龙 任琛
绿色科技2024,Vol.26Issue(2) :151-156.

基于地面实测光谱的城市黑臭水体关键水质指标反演研究

Study on Key Water Quality Indicators Remote Sensing Inversion Model Based on Spectral Characterization of Black and Odorous Water

王升帅 1韩留生 1王翔宇 1张至一 1夏潭龙 1任琛1
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作者信息

  • 1. 山东理工大学建筑工程与空间信息学院,山东淄博 255049
  • 折叠

摘要

城市黑臭水体污染严重影响城市形象与居民生产生活,如何对城市黑臭水体进行有效的监测与治理是目前亟待解决的问题.选取广州市车陂涌与永和河为实验区,通过分析城市黑臭水体光学特性,揭示城市黑臭水体的遥感响应机理并建立了城市黑臭水体关键水质指标反演模型.结果表明:① 城市黑臭水体在550~580 nm处遥感反射率和其斜率与正常水体、高度混浊的水体有明显的区别;② 当总悬浮物(TSS)浓度高于100 mg/L时,TSS起主导光学作用,抑制了黑臭水质指标光学特性;③ 此研究构建的黑臭关键水质指标反演模型具有较高的精度,并且适用于Landsat8 OLI影像,对从时空连续的角度监测黑臭水体具有重要意义,可为黑臭水体的防止与治理提供重要参考.

Abstract

The presence of black and odorous water bodies is a pervasive problem that negatively affects the per-ception and productivity of city inhabitants.Therefore,efficient surveillance and administration of this issue is of enormous importance in the current context.This research focuses on Chebei and Yonghe Rivers,which are typi-cal locations with black and odorous waters.The objective of this study was to investigate the remote-sensing response mechanism of urban water bodies with black and odorous characteristics by examining their optical properties.The results showed that ① Remote sensing reflectance values and spectral slopes at 550~580 nm can effectively differentiate between urban black-odor water bodies,normal water bodies,and highly turbid water bodies.② When the concentration of total suspended solids(TSS)exceeds 100mg/L,TSS becomes the primary factor affecting the optical properties of black-odor water quality indicators.③ The inversion model constructed for the key indicators of black-odor demonstrates high accuracy and provides essential guidance for the manage-ment and protection of black-odor water bodies.

关键词

黑臭水体/光谱/光学特性/水质指标/反演

Key words

black and odorous water body/remote sensing/optical characteristics/water quality parameter

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基金项目

山东省自然科学基金(ZR2020MD018)

广东省科学院建设国内一流研究机构专项资金项目(2019GDASYL-0103003)

出版年

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
参考文献量20
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