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Modeling multi-source plastic pollution yield and transport driven by catchment hydrometeorological processes.
Zhang, Yongyong; Dou, Ming; Cai, Xueliang; Han, Bing; Wang, Zhen; Niu, Xiaoyu; An, Lihui; Kang, Jianxiong; Zhou, Lijun.
Afiliación
  • Zhang Y; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. Electronic address: zhangyy003@igsnrr.ac.cn.
  • Dou M; School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China. Electronic address: douming@zzu.deu.cn.
  • Cai X; Agriculture, Food, Nature, and Rural Development Sector Office, Sectors Group, Asian Development Bank, Metro Manila, 1550, Philippines.
  • Han B; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
  • Wang Z; School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China.
  • Niu X; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
  • An L; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Kang J; School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
  • Zhou L; State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstrasse 9, Stuttgart, 70599, Germany.
Water Res ; 259: 121863, 2024 Aug 01.
Article en En | MEDLINE | ID: mdl-38870886
ABSTRACT
Plastic pollution has emerged as a global environmental concern, impacting both terrestrial and marine ecosystems. However, understanding of plastic sources and transport mechanism at the catchment scale remains limited. This study introduces a multi-source plastic yield and transport model, which integrates catchment economic activities, climate data, and hydrological processes. Model parameters were calibrated using a combination of field observations, existing literature, and statistical random sampling techniques. The model demonstrated robust performance in simulating both plastic yield and transport from 2010 to 2020 in the upper and middle Mulan River Catchment, located in southeast China. The annual average yield coefficients were found to closely align with existing estimations, and the riverine outflow exhibited a high correlation coefficient of 0.97, with biases ranging from -63.0 % to -21.4 % across all monitoring stations. The analysis reveals that, on average, 12.5 ± 2.5 % of the total plastic yield is transported to rivers annually, with solid waste identified as the primary source, accounting for 37.8 ± 20.7 % of the total load to rivers, followed by agricultural film (26.4 ± 9.8 %), impermeable surfaces (21.5 ± 10.3 %), urban and rural sewage (10.4 ± 5.0 % and 3.0 ± 1.5 %, respectively), and industrial wastewater (0.9 ± 0.7 %). The annual average outflow was estimated to between 9.3 and 43.0 ton/year (median 23.1) at a 95 % confidence level. This study not only provides insights into the primary sources and transport pathways of plastic pollution at the catchment scale, but also offers a valuable tool for informing effective plastic pollution mitigation strategies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plásticos / Monitoreo del Ambiente / Ríos País/Región como asunto: Asia Idioma: En Revista: Water Res Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plásticos / Monitoreo del Ambiente / Ríos País/Región como asunto: Asia Idioma: En Revista: Water Res Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido