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在城市河流中对有机物质负荷的水质评估,考虑到土地覆盖面的动态

Juliana Leithold¹, Cristovão Vicente Scapulatempo Fernandes², Júlio César Rodrigues de Azevedo³

¹Graduate Program of Water Resources and Environmental Engineering (PPGERHA), Federal University of Paraná (UFPR), Av. Cel. Francisco H. dos Santos - Jardim das Américas, PR, 81531-980, Curitiba, Brazil.

Environmental monitoring and assessment

|July 15, 2023

概括

新的土地利用污染物贡献 (LUPC) 模型使用卫星数据估计了来自流域土地使用的有机物质污染. 这种方法有助于水资源管理和污染评估.

科学领域:

环境科学环境科学
水文学的水文学
遥感遥感遥感遥感

背景情况:

土地使用对流域水质产生重大影响.
像SCS-CN方法这样的现有模型为土地利用影响评估提供了基础.
准确的土地使用数据对于有效的水质建模至关重要.

研究的目的:

引入土地使用污染物贡献 (LUPC) 模型来估计流域水污染.
利用卫星图像 (Sentinel-2) 来进行土地利用分类和输入到 LUPC 模型中.
根据土地使用特征评估有机物 (OM) 污染负载.

主要方法:

开发了LUPC模型,为每个土地使用定义了污染物标准指数 (PSI).
采用 Sentinel-2 卫星图像用于流域土地使用分类.
应用了一个核心函数来模拟污染物降解和保留.
使用巴里古伊河流域的水质数据 (DOC,UV-Vis,COD,BOD,DO,N,P) 验证了该模型.

主要成果:

从流域特征可以有效估计河流中的有机负载.
污染物标准指数 (PSI) 捕捉了对污染的季节性影响.
盆地形状参数也会影响污染估计.
LUPC模型证明了对不同条件的多功能响应.

结论:

LUPC模型提供了一种可靠的方法来估计土地使用造成的有机物质污染.
该模型适用于综合水资源和土地利用规划.
LUPC作为有机物对河流潜在污染的指标.

关键词:

模型模型模型模型模型支持决策的工具.水资源管理水资源的管理.

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