2022
DOI: 10.3390/w14142177
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Study of Non-Point Pollution in the Ashe River Basin Based on SWAT Model with Different Land Use

Abstract: The Ashe River Basin (ARB), long known as the “Golden Waterway” in Manchu, has become one of China’s most polluted rivers. The basin area of the Ashe River is 3545 km2 and the total length of the river is 257 km. There have not been specific studies on land use change and non-point pollution in the ARB region. This paper uses the ARB watershed as the study area, simulates the watershed using the SWAT (Soil and Water Assessment Tool) model, and analyzes the hydrological processes and the temporal and spatial ch… Show more

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Cited by 12 publications
(11 citation statements)
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“…In recent years, the community structure of river phytoplankton has been influenced not only by the natural habitats of rivers but also by human activities and the upstream and downstream relationships of rivers (Zhao et al, 2020a). Human activities have gradually changed the types of land use in river basins, mainly through changes in nutrient enrichment, hydrological regimes, riparian habitat quality, and other ecological processes, resulting in a series of adverse effects on river ecosystems (Chen et al, 2022). With the escalation in anthropogenic stress, the loss of natural land, and the increase in pollutants discharged into rivers, the number of pollution-sensitive phytoplankton species in rivers decreased, and pollution-resistant species became the dominant group (Moghadam, 1975;Montoya-Moreno and Aguirre-Ramírez, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, the community structure of river phytoplankton has been influenced not only by the natural habitats of rivers but also by human activities and the upstream and downstream relationships of rivers (Zhao et al, 2020a). Human activities have gradually changed the types of land use in river basins, mainly through changes in nutrient enrichment, hydrological regimes, riparian habitat quality, and other ecological processes, resulting in a series of adverse effects on river ecosystems (Chen et al, 2022). With the escalation in anthropogenic stress, the loss of natural land, and the increase in pollutants discharged into rivers, the number of pollution-sensitive phytoplankton species in rivers decreased, and pollution-resistant species became the dominant group (Moghadam, 1975;Montoya-Moreno and Aguirre-Ramírez, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, the community structure of river phytoplankton has been influenced not only by the natural habitats of rivers but also by human activities and the upstream and downstream relationships of rivers (Zhao et al, 2020a). Human activities have gradually changed the types of land use in river basins, mainly through changes in nutrient enrichment, hydrological regimes, riparian habitat quality, and other ecological processes, resulting in a series of adverse effects on river ecosystems (Chen et al, 2022). With the escalation in anthropogenic stress, the loss of natural land, and the increase in pollutants discharged into rivers, the number of pollution-sensitive phytoplankton species in rivers decreased, and pollution-resistant species became the dominant group (Moghadam, 1975;Montoya-Moreno and Aguirre-Ramírez, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, water pollution in the basin has become an increasingly serious concern in light of the steady expansion of the regional economy and grain production. During the wet season, a large quantity of pesticides and fertilizer residues enters the Ashi river combined with surface runoff from the extensive farmland in the middle reaches of the Ashi River Basin (ASRB) (Chen et al, 2022). The region downstream of the ASRB is densely populated, with land use dominated by cities and towns that are severely impacted by anthropogenic activities.…”
Section: Introductionmentioning
confidence: 99%
“…Physical models are constructed based on the intrinsic mechanisms of ANSP formation, simulating the process of pollutant generation and transport; then, ANSP loads are calculated through mathematical models. Physical models mainly include ANSWERS [19], SWRRB [20], SWAT [4], HSPF [21], and other models, which are mostly applicable to watershed-scale studies [22]. The empirical model is based on the data of each pollution unit and establishes the relationship between pollution units and ANSP emissions through multivariate linear correlation analysis; it then calculates the ANSP load of different units.…”
Section: Introductionmentioning
confidence: 99%