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Spatio-temporal characteristics and multi-scale risk identification of pollution load based on sensitivity analysis in small watersheds located in Tuojiang River Basin, China.
Su, Mingyue; Fan, Min; Song, Tao; Yang, Yuankun; Chen, Shu; Tu, Weiguo; Li, Zhuo; Li, Sen.
Afiliación
  • Su M; School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Fan M; School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China. firstfanmin@126.com.
  • Song T; Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Chengdu, 610299, China. firstfanmin@126.com.
  • Yang Y; School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Chen S; School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Tu W; School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Li Z; Sichuan Provincial Academy of Nature Resources Sciences, Sichuan, 610015, China.
  • Li S; School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China.
Environ Monit Assess ; 196(9): 803, 2024 Aug 09.
Article en En | MEDLINE | ID: mdl-39120619
ABSTRACT
High-quality development of water resources supports high-quality socio-economic development. High-quality development connects high-quality life, and clarifying the key management contents of small watersheds plays an important role in building ecologically clean small watersheds and promoting regional production and life. Previous research on pollution loads has focused on examining the impact of various external drivers on pollution loads but still lacks research on the impact of changes in pollution sources themselves on pollution loads. In this study, sensitivity analysis was used to determine the impact of changes from different sources on the total pollution loads, which can recognize the critical pollution sources. We first employed the pollutant discharge coefficient method to quantify non-point source pollution loads in the small watershed in the upstream Tuojiang River basin from 2010 to 2021. Then, combination sensitivity analysis with Getis-Ord Gi* was used to identify the critical sources and their crucial areas at the global, districts (counties), and towns (streets) scales, respectively. The results indicate (1) The pollution loads of COD, NH3-N, TN, and TP all show a decreasing trend, reducing by 18.3%, 16.2%, 18.6%, and 28.1% from 2010 to 2021, respectively; (2) Livestock and poultry breeding pollution source is the most critical source for majority areas across watershed; (3) High-risk areas are mainly concentrated in Jingyang district and its subordinate towns (streets). There is a trend of low-pollution risk areas transitioning to high-pollution risk areas, with high-risk areas predominantly concentrated in the southeast and exhibiting a noticeable phenomenon of pollution load spilling around. This study can promote other similar small watersheds, holding significant importance for non-point source pollution control in small watersheds.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente / Ríos País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente / Ríos País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos