Simulating the impact of climate change on soil erosion in sub-tropical monsoon dominated watershed based on RUSLE, SCS runoff and MIROC5 climatic model

Advances in Space Research, Journal Year: 2019, Volume and Issue: 64(2), P. 352 - 377

Published: May 9, 2019

Language: Английский

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Estimation of soil erosion risk in southern part of Syria by using RUSLE integrating geo informatics approach

Remote Sensing Applications Society and Environment, Journal Year: 2020, Volume and Issue: 20, P. 100375 - 100375

Published: Aug. 28, 2020

Soil erosion is one of the major problems that threatens agricultural production and sustainability natural resources in Syria. More than 85% Syrian land exposed to soil at different rates. The present study estimated eastern part Yarmouk Basin Al-Swida governorate (Southern Syria), by integrating Revised Universal Loss Equation (RUSLE) model Geographic Information System (GIS) approach. parameters used for RUSLE were prepared from climatic data, field satellite imageries. Results showed average erosivity was 374.19 MJ mm ha−1 h−1 yr−1, while K-factor ranged 0.22 0.36 ton.ha.MJ−1.mm−1, LS-factor reached 45% some places. potential 1.26 350.5 t ha− 1 yr− 1, with an 137.4 1. Meanwhile, ninety-five percent area experienced acceptable rate loss, which between 0 5 While, rest unacceptable rate, 350 Therefore, areas are need immediate conservation plan water point view.

Language: Английский

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Integrated GIS-based RUSLE approach for quantification of potential soil erosion under future climate change scenarios

Environmental Monitoring and Assessment, Journal Year: 2020, Volume and Issue: 192(11)

Published: Oct. 29, 2020

Language: Английский

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Effect of climate change on soil erosion indicates a dominance of rainfall over LULC changes

Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 47, P. 101373 - 101373

Published: April 5, 2023

Mahanadi River Basin in India This study explores the effect of climate change and human-induced farming construction activities on soil erosion a rainfed basin during two time periods viz. 1981–2000 2001–2019. assesses using Geographic Information System integrated Revised Universal Soil Loss Equation (GIS-integrated RUSLE) model. Three different analyses are designed to assess i) combined all RUSLE factors over these periods, ii) only land use/cover (LULC), iii) rainfall impact rate. A modified sediment delivery ratio (SDR) has been proposed model performances validated observed Sediment Yield data. The results indicate an overall decrease rate as factors, but at same time, increase spatial extent areas affected by is noticed. mean varies between 37.02 tons ha⁻¹ yr⁻¹ 31.89 ha⁻¹yr⁻¹ 2001–2019, with 40% maximum rate, while total rates both down 13.85% compared 1981–2000. analysis suggested more profound than LULC change.

Language: Английский

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Modelling of soil erosion susceptibility incorporating sediment connectivity and export at landscape scale using integrated machine learning, InVEST-SDR and Fragstats

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 353, P. 120164 - 120164

Published: Jan. 31, 2024

Language: Английский

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Assessment of the Soil Erosion Susceptibility Zones in Tea Plantation Areas of Jalpaiguri District, India: An Integrated Approach of RUSLE and WLC Model

Journal of the Indian Society of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

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Land use and Land Cover change and its resultant erosion susceptible level: an appraisal using RUSLE and Logistic Regression in a tropical plateau basin of West Bengal, India

Environment Development and Sustainability, Journal Year: 2020, Volume and Issue: 23(2), P. 1411 - 1446

Published: Feb. 15, 2020

Language: Английский

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Integrated study on soil erosion using RUSLE and GIS in Yangtze River Basin of Jiangsu Province (China)

Arabian Journal of Geosciences, Journal Year: 2019, Volume and Issue: 12(5)

Published: March 1, 2019

Language: Английский

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GIS-based revised universal soil loss equation for estimating annual soil erosion: a case of lower Kulsi basin, India

SN Applied Sciences, Journal Year: 2023, Volume and Issue: 5(3)

Published: Feb. 15, 2023

Abstract Assessment and estimation of soil loss is a fundamental aspect land water resource conservation management practices as it provides necessary information in the course watershed-level development region. The model Wischmeier Smith, popularly known Revised Universal Soil Loss Equation, was selected to estimate lower Kulsi river basin due its simplicity, versatility, flexibility nature method Geographic system platform. Most original governmental datasets, mainly daily gauge rainfall from 2009 2018, satellite images for use cover, digital elevation Shuttle Radar Topographic Mission topographic factor, National Bureau Survey Land-use Planning, India map were utilized average annual erosion. estimated erosion ranges 0.0 6.45 thousand t ha −1 y , grouped into low, moderate, high, very high risk A area 36.235 km 2 (1.85%) identified zones needed immediate measures reduce risk.

Language: Английский

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Predicting runoff and sediment yields using soil and water assessment tool (SWAT) model in the Jemma Subbasin of Upper Blue Nile, Central Ethiopia

Environmental Challenges, Journal Year: 2023, Volume and Issue: 14, P. 100806 - 100806

Published: Dec. 3, 2023

The Jemma Subbasin (JS) has a major soil erosion problem emanating from deforestation, overgrazing, and agricultural expansion, including farming of unproductive fringed lands steep slope terrains. This study was conducted to assess runoff estimate the subsequent sediment yields in JS using Soil Water Assessment Tool (SWAT) model. overall efficiency SWAT model accurately evaluated by values its calibration (R2 = 0.66) validation 0.63), respectively. findings revealed that barren land not only most susceptible use type erosion, but also had highest loads followed grazing lands. In particular, coupled with significant is attributed crop-growing period particularly months July August which cultivated were extremely vulnerable resulting heavy rainfall. Consequently, all significantly greater fields lower, middle, upper parts subbasin. because those mainly composed undulated moderately terrains so they values. However, due dense vegetation cover associated root density, forestlands least turn resulted minimal loss. Furthermore, showed maximum upland yield estimated be 3,685.14 tons/ha whereas average annual predicted 78.1 tons/ha; however, can doubled climate projection scenario. As result effective implementation (c) conservation practice (p), reduced 44.28% 35.92% for RCP8.5 RCP4.5, Effective designing executing proper water management measures are crucial subbasin as minimize serious challenges accelerated (LULC) changes long-term sustainability degraded landscape categorized subsistence farming.

Language: Английский

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