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

Application of RMMF-Based GIS Model for Soil Erosion Assessment in Andaman Ecosystem DOI Creative Commons
Sirisha Adamala, A. Velmurugan, Nikul Kumari

et al.

Land, Journal Year: 2023, Volume and Issue: 12(5), P. 1083 - 1083

Published: May 17, 2023

Water erosion is one of the major land degradation problems all over globe, and its accurate quantification in different use contexts required order to propose suitable conservation measures curtail related hazards. In Andaman Nicobar (A&N) Islands, changes due faster urbanization deforestation practices have led accelerated at many points around inhabited Islands. Moreover, agricultural uses A&N Islands are vulnerable severe soil erosion, mainly cultivation along steep slopes mono-cropping culture. A study was conducted by establishing runoff plots areas with measure nutrient losses estimate using a semi-process-based model, i.e., Revised Morgan Finney (RMMF). The RMMF model calibrated primary data from for years 2019–21, validated year 2022, applied Geographical Information System (GIS) spatially ecosystem. simulated during validation coefficient determination (R2) greater than 0.87 as compared measured plots. revealed that annual N, P, K 41–81%, 42–95%, 7–23%, respectively, various uses. classification analysis about 88% total geographical area under forest mangrove uses, which exhibited very slight <5 t/ha. This requires such afforestation rehabilitation/restoration mangroves. 6% cultivated need terracing, bunding, intercropping, etc., highest priority conserve sustainable On average, loss 3.13 About exceeds tolerance limit 2.5–12.5 t/ha/year, needs water lowest economic implications.

Language: Английский

Citations

3
Soil erosion assessment in a part of gully affected Chambal region, Uttar Pradesh (India), using Morgan–Morgan–Finney model DOI
Hemant Kumar, Padmini Pani

Modeling Earth Systems and Environment, Journal Year: 2022, Volume and Issue: 8(4), P. 5279 - 5288

Published: March 26, 2022

Language: Английский

Citations

4
Application of remote sensing methods for statistical estimation of organic matter in soils DOI Creative Commons
Vadym Belenok, Liliia Hebryn-Baidy, Nataliia Bіelousova

et al.

Earth Sciences Research Journal, Journal Year: 2023, Volume and Issue: 27(3), P. 299 - 313

Published: Nov. 10, 2023

The availability of reliable information on the physicochemical properties soils is a necessary tool for maintaining and improving fertility effective optimization agricultural land management in many countries. However, ground-based research methods require significant financial time resources. It has been established that based remote sensing data are an efficient, accurate, less costly solution studying different types soil cover parameters. This work aims to determine predicted indicator humus content selected regions Kyiv region (Ukraine) with corresponding types. For this, spectral chernozem were investigated Landsat 8 OLI satellite images. A mosaic mean reflectance values study period (2013-2015) was created using Google Earth Engine. vegetation indices NDSI, NDWI, NDBI, MSAVI, NDVI used identify bare soils. Using multiple linear regression, optimal F-Comparing Nested Model predicting soils, including seven model's accuracy estimated such indicators R=0.95, R2= 0.90, σy = 0.16 %. approach proposed model can be support adoption decisions improve maintain balanced use.

Language: Английский

Citations

2
Adaptation of the revised universal soil loss equation (RUSLE) to soil loss modeling in a semi-arid watershed: a case study from western high atlas, Morocco DOI
Latifa Bou-imajjane,

Mhamed Alaeddine Belfoul,

Martin Stokes

et al.

Modeling Earth Systems and Environment, Journal Year: 2022, Volume and Issue: 8(4), P. 4775 - 4792

Published: Aug. 1, 2022

Language: Английский

Citations

3
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

Citations

3