[Risk Assessment Method of Non-point Source Pollution Output for Watershed Using High Resolution Data].

Gu, Jing-Jing; Ye, Yun-Tao; Dong, Jia-Ping; Jiang, Yun-Zhong; Cao, Yin; Zhao, Hong-Li

Gu, Jing-Jing; Ye, Yun-Tao; Dong, Jia-Ping; Jiang, Yun-Zhong; Cao, Yin; Zhao, Hong-Li.

Afiliación

Gu JJ; School of Civil Engineering, Tianjin University, Tianjin 300072, China.
Ye YT; Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Dong JP; Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Jiang YZ; Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Cao Y; School of Civil Engineering, Tianjin University, Tianjin 300072, China.
Zhao HL; Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.

Huan Jing Ke Xue ; 43(6): 3140-3148, 2022 Jun 08.

Article en Zh | MEDLINE | ID: mdl-35686783

Asunto(s)

Contaminación Difusa; Contaminantes Químicos del Agua; China; Monitoreo del Ambiente/métodos; Humanos; Nitrógeno/análisis; Fósforo/análisis; Medición de Riesgo; Contaminantes Químicos del Agua/análisis; Calidad del Agua

Palabras clave

Panjiakou Reservoir basin; high-resolution data-driven; non-point source pollution; output risk assessment; output risk model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Contaminación Difusa Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: Zh Revista: Huan Jing Ke Xue Año: 2022 Tipo del documento: Article País de afiliación: China

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