Spatial Estimation of Soil Loss and Planning of Suitable Soil and Water Conservation Interventions for Environmental Sustainability in Northern Karnataka in India Using Geospatial Techniques DOI Open Access

R. Rejani,

K. V. Rao,

Maheshwar Shivashankar Shirahatti

et al.

Water, Journal Year: 2022, Volume and Issue: 14(22), P. 3623 - 3623

Published: Nov. 10, 2022

The selected study area lies in Karnataka State of Southern India and is frequently subjected to prolonged dry spells, high soil erosion, declining groundwater levels, reductions crop yield. In order make this region sustainable, estimation loss, selection prioritization suitable interventions, its adoption are very important. study, spatial loss models were developed sub-district-wise using the Revised universal equation (RUSLE) GIS for a period 70 years (1951 2020). observed data 2011 2015 used validation model (R2 = 0.89) found satisfactory. average annual rainfall ranged spatially from 420 3700 mm, erosivity (R) 2606 >15,000 MJ mm ha−1 h−1 year−1, varied <2.0 >15.0 t y−1 northern zone Karnataka. Most had an 550 800 was <10.0 y−1. A higher occurred western part where predominant. considerable variability rainfall, erosivity, high, medium, low-rainfall regions 1951 2020. estimated catchment-wise prioritized determine vulnerable areas. It that 7.69% with ≥ 15.0 needs top priority planning interventions (Priority 1) followed by 10.49% ranging 10.0 2) 42.7% under 5.0 3), remaining has lower priority. Northern more site-specific moisture conservation practices water-harvesting/groundwater recharge structures planned geospatial techniques. Among furrow contour cultivation all nine districts compartmental bunding semi-circular bunds. Out total area, 45.3% 24.3% bunds 16.8 16.9% areas, respectively. indicated amount topsoil lost as erosion and, hence, situ water need hour sustainable management region. identified locations validated visual interpretations, ground truth, recorded data.

Language: Английский

Global-scale application of the RUSLE model: a comprehensive review DOI
Mithlesh Kumar,

Ambika Prasad Sahu,

Narayan Sahoo

et al.

Hydrological Sciences Journal, Journal Year: 2022, Volume and Issue: 67(5), P. 806 - 830

Published: Jan. 6, 2022

The Revised Universal Soil Loss Equation (RUSLE) is the most widely used global soil erosion model. poor performance of RUSLE solely dependent on inherent structure model to account for phenomena under varying topographic and climatic conditions. Considering extensive application model, it high time in research identify suitability In this context, a global-scale review was carried out best possible conditions its reliable where yielded performance. still frequently operational simulation despite numerous deficiencies, weaknesses, limitations. Nevertheless, over large ungauged areas remains real challenge due non-availability quality required inputs.

Language: Английский

Citations

56
Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco DOI Creative Commons
Abdennabi Alitane, Ali Essahlaoui, Mohammed El Hafyani

et al.

Land, Journal Year: 2022, Volume and Issue: 11(1), P. 93 - 93

Published: Jan. 7, 2022

Soil erosion is an increasingly issue worldwide, due to several factors including climate variations and humans’ activities, especially in Mediterranean ecosystems. Therefore, the aim of this paper is: (i) quantify predict soil rate for baseline period (2000–2013) a future (2014–2027), using Revised Universal Loss Equation (RUSLE) Water Assessment Tool (SWAT) model R’Dom watershed Morocco, based on opportunities Remote Sensing (RS) techniques Geographical Information System (GIS) geospatial tools. (ii) we classical statistical downscaling (SDSM) rainfall prediction. Due lack field data, results are validated by expert knowledge. As result study, it found that both agricultural lands bare most affected erosion. Moreover, showed was dominated very low Although area continued decrease. Hence, hereby envisage our contribution will provide more complete understanding degradation study research could be crucial reference studies also may serve as valuable guidance management strategies.

Language: Английский

Citations

43
GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects DOI Creative Commons
Mahesh Chand Singh, Koyel Sur, Nadhir Al‐Ansari

et al.

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: March 3, 2023

Land degradation has become one of the major threats throughout globe, affecting about 2.6 billion people in more than 100 countries. The highest rate land is Asia, followed by Africa and Europe. Climate change coupled with anthropogenic activities have accelerated developing nations. In India, affected 105.48 million hectares. Thus, modeling mapping soil loss, assessing vulnerability threat active erosional processes a region are challenges from water conservation aspects. present study attempted rigorous to estimate loss Banas Basin Rajasthan state, using GIS-integrated Revised Universal Soil Loss Equation (RUSLE) equation. Priority ranking was computed for different watersheds terms degree their catchments, so that appropriate measures can be implemented. total area basin (68,207.82 km 2 ) systematically separated into 25 ranging 113.0 7626.8 . Rainfall dataset Indian Meteorological Department 30 years (1990–2020), FAO based map characterization, ALOS PALSAR digital elevation model topographic assessment, Sentinal-2 use cover were integrated erosion/loss risk assessment. annual recorded as 21,766,048.8 tons. areas under very low (0–1 t ha -1 year ), (1–5 medium (5–10 high (10–50 extreme (&gt;50 categories 24.2, 66.8, 7.3, 0.9, 0.7%, respectively, whereas respective average values obtained 0.8, 3.0, 6.0, 23.1, 52.0 among range 1.1–84.9 , being (84.9 WS18, WS10 (38.4 SW25 (34.7 WS23 (17.9 it lowest WS8 (1.1 ). WS18 highest/top priority rank considered first planning implementation. quantitative results this would useful implementation problematic controlling through erosion.

Language: Английский

Citations

37
Geospatial technology for assessment of soil erosion and prioritization of watersheds using RUSLE model for lower Sutlej sub-basin of Punjab, India DOI
Navneet Sharma, Arun Kaushal, Abrar Yousuf

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(1), P. 515 - 531

Published: July 28, 2022

Language: Английский

Citations

34
Estimation of slope length gradient (LS) factor for the sub-watershed areas of Juri River in Tripura DOI
Susanta Das, P. K. Bora, Ranjit Kumar Das

et al.

Modeling Earth Systems and Environment, Journal Year: 2021, Volume and Issue: 8(1), P. 1171 - 1177

Published: March 24, 2021

Language: Английский

Citations

33
Assessment of soil erosion risks in response to land-use and land-cover changes in Coka watershed, Southern Ethiopia DOI Creative Commons

Tadele Buraka,

Eyasu Elias, Karuturi Venkata Suryabhagavan

et al.

Geology Ecology and Landscapes, Journal Year: 2022, Volume and Issue: 8(2), P. 140 - 153

Published: Aug. 24, 2022

Soil erosion is a serious problem arising from agricultural intensification and other anthropogenic activities which can cause deterioration of soil fertility productivity. This study aims to estimate total amounts loss using the RUSLE NDVI models identify major areas concern for management interventions through site specific in Coka watershed, Southern Ethiopia. The model required integration thematic factors such as rainfall, length steepness slope, land-use land-cover, erodibility, control practices. These were calculated remote sensing data GIS. results indicated that area coverage watershed under degree severity priority was <5(very low), 5 − 10 (low), 18 (moderate), 50 (high), 100 (very high) >100 t ha–1yr–1 (severe). rates ranged between 2.33 bare land 237.16 forest. Based on findings, risk having estimated (≥ ha–1yr–1) above tolerable range country containing 73% (2723 ha) watershed. Thus, appropriate water conservation practices should be adopted restore degraded lands environment by giving attention hotspot areas.

Language: Английский

Citations

23
The role of indigenous plant species in controlling the erosion of top soil in sub-tropical environment: In-situ field observation and validation DOI
Paramita Roy, Subodh Chandra Pal, Rabin Chakrabortty

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 625, P. 129993 - 129993

Published: July 26, 2023

Language: Английский

Citations

12
An artificial intelligence-based assessment of soil erosion probability indices and contributing factors in the Abha-Khamis watershed, Saudi Arabia DOI Creative Commons
Saeed Alqadhi, Javed Mallick, Swapan Talukdar

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: June 6, 2023

Soil erosion is a major problem in arid regions, including the Abha-Khamis watershed Saudi Arabia. This research aimed to identify soil erosional probability using various erodibility indices, clay ratio (CR), modified (MCR), Critical Level of Organic Matter (CLOM), and principle component analysis based index (SEI). To achieve these objectives, study used t -tests an artificial neural network (ANN) model best SEI for management. The performance models were then evaluated R 2 , Root Mean Squared Error (RMSE), (MSE), Absolute (MAE), with CLOM identified as predicting erodibility. Additionally, Shapley additive explanations (SHAP) values influential parameters erosion, sand, clay, silt, organic carbon (SOC), moisture, void ratio. information can help develop management strategies oriented parameters, which will prevent erosion. showed notable distinctions between CR CLOM, where 25–27% contribution explained over 89% overall diversity. MCR indicated that 70% area had low erodibility, while 20% moderate 10% high range from 40% showing moderate, high. Based on T -test results, significantly different MCR, principal (PCA), PCA, PCA. ANN implementation demonstrated highest accuracy ( 0.95 training 0.92 testing) SOC, being most important variables. SHAP confirmed importance variables each four models. provides valuable regions. identification effective promote agricultural production. be by policymakers stakeholders make informed decisions manage

Language: Английский

Citations

12
Land use shapes riverine nutrient and sediment concentrations on Moorea, French Polynesia DOI

K. Neumann,

Christian John,

Terava Atger

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Abstract Human activities drive changes in freshwater ecosystems by altering biogeochemical cycles. On high volcanic tropical islands, human can be compartmentalized steep terrain that delineates watershed boundaries. Patterns of activities, such as land use, affect adjacent stream through runoff sediment and nutrients, which varies seasonally the tropics a result seasonal rainfall. Here, we sought to reveal impacts on nutrient regimes rivers tracking patterns river chemistry across series watersheds Moorea, French Polynesia, between 2018 2019. Repeated sampling gradient revealed water varied with respect rainfall use. In particular, dissolved inorganic nitrogen was more concentrated higher rates clearing. Additionally, total suspended solids phosphate were when recent high. Our results show have substantial impact amounts nutrients transport, islands could facilitate movement materials from sea precipitation increases intensifying climate change.

Language: Английский

Citations

0
Assessing soil erosion potential for prioritization of land risk area in the Sala watershed of Ari zone, South Ethiopia DOI Creative Commons
Woldeyes Debebe,

Teshome Yirgu,

Mulugeta Debele

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: May 2, 2025

Soil erosion has led to land degradation, which affects the environmental and economic sustainability of agricultural systems. This study aims assess annual soil loss potential prioritize risk areas in Sala watershed for conservation planning. sampling topographic data were primary sources data. The secondary satellite imagery meteorological Revised Universal Loss Equation (RUSLE) model, integrated with GIS remote sensing (RS) techniques, was used formulate optimal management plans hotspot area. results showed that distribution ranged from 1 1,875 t/ha/year, mean 312.6 t/ha/year. findings also revealed classified as having low rates (1–162 t ha/year) (31.91%), moderate (162–405 (39.67%), high (405–805 t/ha/year) (20.78%), very (800–1875 (7.64%). 28.42% severity, primarily found on steeper slopes inappropriate use practices. In watershed, water measures have important implications improving fertility productivity. Thus, effective planning should be implemented achieve sustainable

Language: Английский

Citations

0