Academic Journal
A Quantitative Assessment of the Impacts of Land Use and Natural Factors on Water Quality in the Red River Basin, China.
| Title: | A Quantitative Assessment of the Impacts of Land Use and Natural Factors on Water Quality in the Red River Basin, China. |
|---|---|
| Authors: | Chen, Changming, Chen, Xingcan, Tang, Hong, Feng, Xuekai, Han, Yu, He, Yuan, Yan, Liqin, He, Yangyidan, Yang, Liling, He, Kejian |
| Source: | Water (20734441); Jul2025, Vol. 17 Issue 13, p1968, 21p |
| Subject Terms: | Water quality, Land use, Environmental indicators, Weather, Statistical correlation, Environmental management, Watersheds |
| Geographic Terms: | Red River (China & Vietnam), China |
| Abstract: | The quality of water in the Red River is a complex interplay between human-induced changes and inherent natural variables. This research utilized the snapshot sampling approach, garnering water quality data from 45 sampling sites in the Red River and crafting 24 environmental indicators related to land use and inherent natural determinants at the catchment scale. Through Spearman rank correlation and redundancy analyses, relationships among land use, natural variables, and water quality were elucidated. Our variance partitioning revealed differentiated impacts of land use and natural factors on water quality. Pivotal findings indicated superior water quality in the Red River, driven mainly by land use dynamics, which showed a distinct geomorphic gradient. Specific land use attributes, like cropland patch density, grassland's largest patch index, and urban metrics, were pivotal in explaining variations in parameters such as total nitrogen, ammonia, and temperature. Notably, the configuration of land use had a more profound influence on water quality than merely its components. In terms of natural influences, while topography played a dominant role in shaping water quality, other factors like soil and weather had marginal impacts. Elevation was notably linked with metrics like total phosphorus and suspended solids, whereas precipitation and slope significantly determined electrical conductivity and chlorophyll-a models. In sum, incorporating both land use configurations and natural determinants offers a more comprehensive understanding of water quality disparities in the Red River's ecosystem. For holistic water quality management, the focus should not only be on the major contributors like croplands and urban areas but also on underemphasized areas like grasslands. Tweaking cropland distribution, recognizing the intertwined nature of land use and natural elements, and tailoring land management based on topographical variations are essential strategies moving forward. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: A Quantitative Assessment of the Impacts of Land Use and Natural Factors on Water Quality in the Red River Basin, China. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Changming%22">Chen, Changming</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Xingcan%22">Chen, Xingcan</searchLink><br /><searchLink fieldCode="AR" term="%22Tang%2C+Hong%22">Tang, Hong</searchLink><br /><searchLink fieldCode="AR" term="%22Feng%2C+Xuekai%22">Feng, Xuekai</searchLink><br /><searchLink fieldCode="AR" term="%22Han%2C+Yu%22">Han, Yu</searchLink><br /><searchLink fieldCode="AR" term="%22He%2C+Yuan%22">He, Yuan</searchLink><br /><searchLink fieldCode="AR" term="%22Yan%2C+Liqin%22">Yan, Liqin</searchLink><br /><searchLink fieldCode="AR" term="%22He%2C+Yangyidan%22">He, Yangyidan</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Liling%22">Yang, Liling</searchLink><br /><searchLink fieldCode="AR" term="%22He%2C+Kejian%22">He, Kejian</searchLink> – Name: TitleSource Label: Source Group: Src Data: Water (20734441); Jul2025, Vol. 17 Issue 13, p1968, 21p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Water+quality%22">Water quality</searchLink><br /><searchLink fieldCode="DE" term="%22Land+use%22">Land use</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+indicators%22">Environmental indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+management%22">Environmental management</searchLink><br /><searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Red+River+%28China+%26+Vietnam%29%22">Red River (China & Vietnam)</searchLink><br /><searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The quality of water in the Red River is a complex interplay between human-induced changes and inherent natural variables. This research utilized the snapshot sampling approach, garnering water quality data from 45 sampling sites in the Red River and crafting 24 environmental indicators related to land use and inherent natural determinants at the catchment scale. Through Spearman rank correlation and redundancy analyses, relationships among land use, natural variables, and water quality were elucidated. Our variance partitioning revealed differentiated impacts of land use and natural factors on water quality. Pivotal findings indicated superior water quality in the Red River, driven mainly by land use dynamics, which showed a distinct geomorphic gradient. Specific land use attributes, like cropland patch density, grassland's largest patch index, and urban metrics, were pivotal in explaining variations in parameters such as total nitrogen, ammonia, and temperature. Notably, the configuration of land use had a more profound influence on water quality than merely its components. In terms of natural influences, while topography played a dominant role in shaping water quality, other factors like soil and weather had marginal impacts. Elevation was notably linked with metrics like total phosphorus and suspended solids, whereas precipitation and slope significantly determined electrical conductivity and chlorophyll-a models. In sum, incorporating both land use configurations and natural determinants offers a more comprehensive understanding of water quality disparities in the Red River's ecosystem. For holistic water quality management, the focus should not only be on the major contributors like croplands and urban areas but also on underemphasized areas like grasslands. Tweaking cropland distribution, recognizing the intertwined nature of land use and natural elements, and tailoring land management based on topographical variations are essential strategies moving forward. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Water (20734441) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/w17131968 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1968 Subjects: – SubjectFull: Red River (China & Vietnam) Type: general – SubjectFull: China Type: general – SubjectFull: Water quality Type: general – SubjectFull: Land use Type: general – SubjectFull: Environmental indicators Type: general – SubjectFull: Weather Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: Environmental management Type: general – SubjectFull: Watersheds Type: general Titles: – TitleFull: A Quantitative Assessment of the Impacts of Land Use and Natural Factors on Water Quality in the Red River Basin, China. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Changming – PersonEntity: Name: NameFull: Chen, Xingcan – PersonEntity: Name: NameFull: Tang, Hong – PersonEntity: Name: NameFull: Feng, Xuekai – PersonEntity: Name: NameFull: Han, Yu – PersonEntity: Name: NameFull: He, Yuan – PersonEntity: Name: NameFull: Yan, Liqin – PersonEntity: Name: NameFull: He, Yangyidan – PersonEntity: Name: NameFull: Yang, Liling – PersonEntity: Name: NameFull: He, Kejian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20734441 Numbering: – Type: volume Value: 17 – Type: issue Value: 13 Titles: – TitleFull: Water (20734441) Type: main |
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