GIS based soil loss assessment using USLE method: A case study of Bina river basin, India DOI Creative Commons
L. N. Thakural, Abhishek Agrawal, A. K. Lohani

и другие.

Environment Conservation Journal, Год журнала: 2025, Номер 26(1), С. 132 - 141

Опубликована: Фев. 15, 2025

Soil erosion causes sedimentation in reservoirs, limiting storage capacity by occupying space available for water. This reduction affects flood control and restricts the amount of water different purposes. Combating soil degradation requires estimating loss locating hotspot locations. The purpose this study is to use high-resolution geospatial data Universal Loss Equation model estimate rate locate locations Bina basin Madhya Pradesh, India. Rainfall was used calculate rainfall erosivity factor (R), determine erodibility (K), DEM get topographic factor, Land Use Cover maps crop cover conservation practice factors. ArcGIS 10.4 tool integrate layers order from soil. An estimated 144,888.45 tons were lost annually, with an average annual 2.26 t/ha/year. In basin, ranged 0 340 Spatial risk categorisation 82.31% slight, 13.36% moderate, 3.64% high, 0.53% very 0.13% severe, 0.02% severe. findings showed low vegetative cover, a lack measures, significant on steep slopes. assessment provides vital information policymakers planners devise strategies sustainable resources.

Язык: Английский

Identification and mapping of groundwater recharge zones using multi influencing factor and analytical hierarchy process DOI Creative Commons

Fanxiao Meng,

Muhammad Ismail Khan, Syed Ali Asad Naqvi

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 20, 2024

The management of groundwater systems is essential for nations that rely on as the principal source communal water supply (e.g., Mohmand District Pakistan). work employed Remote Sensing and GIS datasets to ascertain recharge zones (GWRZ) in Pakistan. Subsequently, a sensitivity analysis was conducted examine impact geology hydrologic factors variability GWRZ. GWRZ determined by employing weighted overlay thematic maps derived from about drainage density, slope, geology, rainfall, lineament land use/land cover, soil types. use multi-criteria decision (MCDA) involves utilization multi-influencing factor (MIF) analytical hierarchy procedure (AHP) allocate weights selected influencing factors. MIF data found very high spanned 1.20%, covered 40.44%, moderate 50.81%, low 7.54%. In comparison, AHP technique results suggest 1.81% whole area high, 33.26 55.01% moderate, 9.92% has potential. geospatial-assisted approach helps increase conceptual knowledge resources evaluate possible zones.

Язык: Английский

Процитировано

9
Spatio-Temporal Analysis of Hydrometeorological Variables for Terrestrial and Groundwater Storage Assessment DOI
Muhammad Shareef Shazil, Sheharyar Ahmad, Syed Amer Mahmood

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 27, С. 101333 - 101333

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

8
Advanced Machine Vision Techniques for Groundwater Level Prediction Modeling Geospatial and Statistical Research DOI

Dai Xianglin,

Aqil Tariq, Ahsan Jamil

и другие.

Advances in Space Research, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

6
Modeling soil erosion for sustainable landscape management using RUSLE in the landscapes of Abaya-Chamo Sub-Basin, Ethiopia DOI Creative Commons

Melku Dagnachew Alemu,

Fanuel Laekemariam,

Sisay A. Belay

и другие.

Modeling Earth Systems and Environment, Год журнала: 2025, Номер 11(3)

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

0
Weather factors affecting snow coverage on Mt. Jayawijaya, Indonesia DOI Creative Commons

Syamsinar,

Halmar Halide, Aini Suci Febrianti

и другие.

Journal of Degraded and Mining Lands Management, Год журнала: 2025, Номер 12(2), С. 7255 - 7264

Опубликована: Янв. 1, 2025

The snow cover in Jayawijaya, Papua, Indonesia, has been rapidly declining due to various climatic factors, posing significant threats both the ecosystem and local culture. This research focused on analysis of impact weather factors (temperature, relative humidity, wind direction, speed) decrease Mt. Jayawijaya. Using datasets from 2013 2022, a stepwise multiple regression was performed ascertain predictors for loss. findings indicated that out all humidity direction were most important, with p-value 0.005 0.032, respectively. model indicates higher increases sublimation, while brings warm air accelerates melting. Pearson correlation showed strong (r = 0.81) between observed decline model, an RMSE 20.70 ha. These contribute understanding how atmospheric interact dynamics tropical regions can aid future conservation efforts Jayawijaya’s cover.

Язык: Английский

Процитировано

0
Geospatial assessment of soil erosion in the Basantar and Devak watersheds of the NW Himalaya: A study utilizing USLE and RUSLE models DOI Creative Commons
Ajay Kumar Taloor, Varun Khajuria, Gurnam Parsad

и другие.

Geosystems and Geoenvironment, Год журнала: 2025, Номер unknown, С. 100355 - 100355

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Integrating Google Earth Engine and GIS for RUSLE-based soil erosion and sediment yield assessment in Borkena Watershed, Ethiopia DOI
Asmare Belay Nigussie,

Gebiaw T. Ayeled,

Andualem Endalew

и другие.

Journal of Sedimentary Environments, Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

Язык: Английский

Процитировано

0
Modelling sustainable land management programme intervention effect on soil loss rate in the watershed region DOI
Kasye Shitu, Hassan Alzahrani, Rana Waqar Aslam

и другие.

Soil Use and Management, Год журнала: 2025, Номер 41(1)

Опубликована: Янв. 1, 2025

Abstract This paper modelled the sustainable land management programme intervention effect on soil loss rate in Hoha and Temba watersheds, Western Ethiopia. In area, (SLMP) has been doing many soil–water conservation measurements since 2011. However, an assessment of before after implementation project not yet conducted area because operational issues high costs gathering on‐ground data. Because this, we have developed a Revised Universal Soil Loss Equation (RUSLE) framework fully integrated with geographic information system (GIS) for spatial resolution (30 m) erosion 2010 (before SLMP was implemented area) 2015 2021 (after area). The results showed that mean annual study 13.04, 1.88 2.06 t ha −1 year 9.58, 1.53 1.68 watershed years, 2010, 2021, respectively. line our also indicated increment forest cover reduction bare both watersheds throughout time. terms reduction, significant role through improvement watersheds.

Язык: Английский

Процитировано

0
GIS based soil loss assessment using USLE method: A case study of Bina river basin, India DOI Creative Commons
L. N. Thakural, Abhishek Agrawal, A. K. Lohani

и другие.

Environment Conservation Journal, Год журнала: 2025, Номер 26(1), С. 132 - 141

Опубликована: Фев. 15, 2025

Soil erosion causes sedimentation in reservoirs, limiting storage capacity by occupying space available for water. This reduction affects flood control and restricts the amount of water different purposes. Combating soil degradation requires estimating loss locating hotspot locations. The purpose this study is to use high-resolution geospatial data Universal Loss Equation model estimate rate locate locations Bina basin Madhya Pradesh, India. Rainfall was used calculate rainfall erosivity factor (R), determine erodibility (K), DEM get topographic factor, Land Use Cover maps crop cover conservation practice factors. ArcGIS 10.4 tool integrate layers order from soil. An estimated 144,888.45 tons were lost annually, with an average annual 2.26 t/ha/year. In basin, ranged 0 340 Spatial risk categorisation 82.31% slight, 13.36% moderate, 3.64% high, 0.53% very 0.13% severe, 0.02% severe. findings showed low vegetative cover, a lack measures, significant on steep slopes. assessment provides vital information policymakers planners devise strategies sustainable resources.

Язык: Английский

Процитировано

0