Spatial and temporal distribution characteristics of typical pollution loads based on SWAT model across Tuojiang River watershed located in Sichuan Province, Southwest of China

Wang, Yuanzhe; Hua, Chunlin; Min, Fan; Yao, Jing; Zhou, Lele; Cai, Can; Zhong, Nanlan

doi:10.1007/s10661-023-11481-6

Cited by 3 publications

(1 citation statement)

References 42 publications

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“…The attribute data required include the physical characteristics of the soil, tillage operations, the composition of pesticides and fertilizers and methods of their application, meteorological and hydrological data, data on septic systems, etc. [34,35].…”

Section: Introductionmentioning

confidence: 99%

Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data

Semenov,

Silaev,

Semenov

et al. 2024

Water

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This study was the first attempt to identify the sources of total oxidized nitrogen (TON) and inorganic phosphorus (IP) in the water of the Selenga River—the main tributary of Lake Baikal. To identify TON and IP sources, the data on nutrient concentrations in water of Selenga River and its tributaries as well as the data on river runoff were collected and mapped. On the basis of the obtained data, the values of TON and IP exported from different parts of Selenga watershed were evaluated and mapped using geospatial techniques. In addition, critical source areas (CSAs) which accumulate soil pollutants from nonpoint pollution sources and release them into the surface water during storm events were identified in most polluted watershed areas. It was found that the values of TON exports in most parts of the Selenga watershed varied in the range 0–50 kg/km2/yr, whereas the values of IP exports varied in the range 0–5 kg/km2/yr. Obtained data on TON export were in agreement with those obtained earlier by foreign researchers using global models of nutrient export, whereas data on IP exports were two times higher than those previously modelled.

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Section: Introductionmentioning

confidence: 99%

Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data

Semenov,

Silaev,

Semenov

et al. 2024

Water

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Water quality assessment and its pollution source analysis from spatial and temporal perspectives in small watershed of Sichuan Province, China

Song,

Tu,

et al. 2024

Environ Monit Assess

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Pollution load estimation and influencing factor analysis in the Tuhai River Basin in Shandong Province of China based on improved output coefficient method

Wang,

Zhang,

Gao

et al. 2024

Environ Sci Pollut Res

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Estimating the pollution loads in the Tuhai River is essential for developing a water quality standard scheme. This study utilized the improved output coe cient method to estimate the total pollution loads in the river basin while analyzing the in uencing factors based on the STIRPAT (Stochastic Impacts by Regression on Population, A uence, and Technology) model. Findings indicated that the projected point source pollution loads for total phosphorus, COD, and ammonia nitrogen would amount to 3937.22 t, 335523.25 t, and 13946.92 t in 2021, respectively. Among these, COD pollution would pose the greatest concern. The primary contributors to the pollution loads were rural scattered life, large-scale livestock and poultry breeding, and surface runoff. Per capita GDP emerged as the most in uential factor affecting the pollution loads, followed by cultivated land area, while the urbanization rate demonstrated the least impact.1 Background of the researchThe conservation of the environment and high-quality development in the Yellow River basin have become vital elements of national strategy. The Tuhai River, located on the north side of the Yellow River, has been heavily polluted since the 1970s due to the population growth and industrial development of coastal areas. According to the National Surface Water Quality Automatic Monitoring Real-time Data Release System, since the third quarter of 2022, the surface water quality of Xiakou, Qianyoufang and Fuguo state-controlled sections of the Tuhai River has been classi ed V and inferior V many times, and the pollution problem of the Tuhai River is more serious.Accurately estimating the non-point source pollution load in the basin is essential for developing standard plans and implementing effective treatment measures. Researchers have proposed various methods to estimate non-point source pollution loads, including the mechanism model method and the output coe cient method (Xue and Yang 2009). Mechanism model methods, such as SWAT, HSPF, and AnnAGNPS models, need to take into account the water cycle processes, such as rainfall, runoff, and evaporation, and combine with the watershed production and sinks to analyze the amount of non-point source pollution loads (Shen et al. 2014;Wang et al. 2018; Ti et al. 2017). However, this method requires a large amount of primary geographic data and is complex. The output coe cient method, on the other hand, estimates the watershed's pollutant output by utilizing readily available data such as the current land use status (

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Spatial and temporal distribution characteristics of typical pollution loads based on SWAT model across Tuojiang River watershed located in Sichuan Province, Southwest of China

Cited by 3 publications

References 42 publications

Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data

Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data

Water quality assessment and its pollution source analysis from spatial and temporal perspectives in small watershed of Sichuan Province, China

Pollution load estimation and influencing factor analysis in the Tuhai River Basin in Shandong Province of China based on improved output coefficient method

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