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The evaluation of N/P fate using the SPARROW model: a case study in an arid and semi-arid region, northern China.
Chen, Haitao; Yin, Jincheng; Song, Menglai; Ding, Han; Mo, Fan; Ren, Qiuru; Li, Guoguang; Song, Shuang; Wang, Yuqiu.
Afiliación
  • Chen H; College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
  • Yin J; College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
  • Song M; College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
  • Ding H; College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
  • Mo F; College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
  • Ren Q; College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
  • Li G; Shenzhen Qianming Technology Co., Ltd, Shenzhen, 518000, Guangdong, China.
  • Song S; Ecological Environment Monitoring and Scientific Research Center of Haihe River Basin and Beihai Sea Area, Ministry of Ecological Environment, Tianjin, 300061, China.
  • Wang Y; College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China. yqwang@nankai.edu.cn.
Environ Sci Pollut Res Int ; 30(19): 55662-55677, 2023 Apr.
Article en En | MEDLINE | ID: mdl-36897454
ABSTRACT
The assessment of nutrients' fate from source to sink is critical to water quality control. As an important ecological reserve in the arid and semi-arid regions of China, the Luanhe River Basin (LRB) has suffered from the deterioration of water quality, thus leading to the urgent management and control. However, few studies have devoted to exploring the fate of N/P contaminations for the entire watershed, due possibly to the large drainage area and heterogeneous watershed composition. Here, we attempt to illustrate N/P contaminations delivery and retention processes using the SPAtially Referenced Regression On Watershed attributes (SPARROW) model. The model reveals 97% of the spatial variability in the TN load and 81% in the TP load, verifying its availability and credibility. The results indicate that anthropogenic sources are dominating the N/P load, which account for 68.5% of N and 74.6% of P inputs. The results highlight the significant retention effects of streams and reservoirs, with 16.4% of N and 13.4% of P removals by streams and 24.3% of N and 10.7% of P removals by reservoirs, respectively. Ultimately, only 49,045.2 t yr-1 (or 16.9%) of N and 1668.7 t yr-1 (or 17.1%) of P being transported to the Bohai Sea. In addition, the analysis of influencing factors showed that regional characteristics (e.g., topography, rainfall), stream size, and delivery distance are potential factors affecting the riverine transport, whereas flow rate and surface area are primarily affecting the reservoirs attenuation. In the future, the watershed water quality management should pay more attention to source management and pollution legacy risks to achieve sustainable and healthy watershed development.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Año: 2023 Tipo del documento: Article País de afiliación: China