Integration of GIS and Geomorphic Data to Assess the Impact of Landscape Features on River Water Quality DOI Open Access
Damanjeet Aulakh, Shashikant Patil,

M Santhosh Kumar

и другие.

Natural and Engineering Sciences, Год журнала: 2025, Номер 10(1), С. 290 - 300

Опубликована: Апрель 1, 2025

Assessing the impact of landscape features on river water quality is essential for effective organization. Geographic Information Systems (GIS) serve as valuable tools integrating spatial data, while geomorphic characteristics offer critical insights into hydrological processes that quality. Traditional research has typically lacked a full grasp direct certain land cover in rivers, sometimes overlooking complicated connections between geomorphological elements and characteristics. As result, this intends to combine GIS data assess Water samples were obtained from numerous locations, with characteristics, such pH, dissolved oxygen (DO), turbidity, temperature, perform thorough assessment Geomorphic factors slope, elevation, pattern also included spatially examine their connection indicators. The used comparison indicators Low Relief Areas (LGRA) High (HGRA) investigate changing correlations across areas. findings show varies significantly LGRA HGRA, elevation pattern, having considerable influence This technique illustrates efficiency combining managing protecting ecosystems.

Язык: Английский

Mechanisms and thresholds of land use affecting surface water quality in Hangzhou City’s residential areas DOI Creative Commons

Qianhu Chen,

Jing Huang

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113097 - 113097

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Prediction of Urban Surface Water Quality Scenarios Using Water Quality Index (WQI), Multivariate Techniques, and Machine Learning (ML) Models in Water Resources, in Baitarani River Basin, Odisha: Potential Benefits and Associated Challenges DOI
Abhijeet Das

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

0
Integration of GIS and Geomorphic Data to Assess the Impact of Landscape Features on River Water Quality DOI Open Access
Damanjeet Aulakh, Shashikant Patil,

M Santhosh Kumar

и другие.

Natural and Engineering Sciences, Год журнала: 2025, Номер 10(1), С. 290 - 300

Опубликована: Апрель 1, 2025

Assessing the impact of landscape features on river water quality is essential for effective organization. Geographic Information Systems (GIS) serve as valuable tools integrating spatial data, while geomorphic characteristics offer critical insights into hydrological processes that quality. Traditional research has typically lacked a full grasp direct certain land cover in rivers, sometimes overlooking complicated connections between geomorphological elements and characteristics. As result, this intends to combine GIS data assess Water samples were obtained from numerous locations, with characteristics, such pH, dissolved oxygen (DO), turbidity, temperature, perform thorough assessment Geomorphic factors slope, elevation, pattern also included spatially examine their connection indicators. The used comparison indicators Low Relief Areas (LGRA) High (HGRA) investigate changing correlations across areas. findings show varies significantly LGRA HGRA, elevation pattern, having considerable influence This technique illustrates efficiency combining managing protecting ecosystems.

Язык: Английский

Процитировано

0