| 基于Sentinel-2卫星影像的水污染遥感动态监测 ——以石家庄市正定县滹沱河为例 |
| 投稿时间：2024-12-07 修订日期：2024-12-17 点此下载全文 |
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| 基金项目:国家自然科学基金青年科学基金项目（42001300）；国家重点研发计划项目（2022YFB3903005）；河北省教育厅青年基金项目（QN2020212）；河北地质大学省级大学生创新创业训练计划资助项目（S202410077023） |
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| 中文摘要:滹沱河作为正定县重要河流，其水污染状况影响经济社会发展及人民生活质量，因此高效率监测水污染状况尤为重要。本文基于Sentinel-2卫星影像，综合“叶绿素a—悬浮物浓度—水体透明度”三个指标构建水体主要污染物遥感反演识别模型，并利用空间自相关模型对石家庄市正定县滹沱河进行水污染遥感动态监测。研究表明：2019—2023年期间①叶绿素a浓度逐渐降低，其中2019年上游叶绿素a浓度最高②悬浮物浓度较高区域逐渐从上游转移至下游③透明度总体呈现先升后降的趋势④水污染程度由上游污染集聚转变为中下游污染集聚；⑤正定县滹沱河空间集聚程度先降后升，且高-高集聚类型数量不断减少，呈现出显著的空间负相关关系。本文选取高精度卫星影响，融合水污染关键指标，对滹沱河水污染状况进行动态监测，并揭示水污染的空间集聚分布特征，为当地的水环境保护和治理提供了科学依据。 |
| 中文关键词:滹沱河 遥感 叶绿素a浓度 悬浮物浓度 透明度 |
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| Remote Sensing Dynamic Monitoring of Water Pollution Based on Sentinel-2 Satellite Imagery ——A Case Study of the Hutuo River in Zhengding County, Shijiazhuang City |
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| Abstract:As an important river in Zhengding County, the water pollution situation of the Hutuo River affects economic and social development and the quality of people's lives, so it is particularly important to monitor the water pollution situation efficiently. This article uses Sentinel-2 satellite imagery to construct a remote sensing inversion model for identifying major water pollutants, integrating three indicators: chlorophyll a, suspended matter concentration, and water transparency. It also employs a spatial autocorrelation model to conduct dynamic monitoring of water pollution in the Hutuo River in Zhengding County, Shijiazhuang City. Research shows that during the period from 2019 to 2023, ① the concentration of chlorophyll a gradually decreased, with the highest concentration of chlorophyll a in the upstream in 2019. ② The areas with higher suspended solids concentration gradually shifted from the upstream to the downstream. ③ The overall transparency showed a trend of first increasing and then decreasing. ④ The degree of water pollution shifted from upstream pollution concentration to mid- and downstream pollution concentration. ⑤ The spatial agglomeration degree of the Hutuo River in Zhengding County first decreased and then increased, and the number of high-high agglomeration types continued to decrease, showing a significant negative spatial correlation. This article selects high-precision satellite data and integrates key indicators of water pollution to dynamically monitor the water pollution status of the Hutuo River and reveal the spatial clustering distribution characteristics of water pollution, providing a scientific basis for local
water environmental protection and governance. |
| keywords:Hutuo River Remote Sensing Chlorophyll-a Concentration Suspended Sediment Concentration Transparency |
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