Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6

Geocarto International, Journal Year: 2021, Volume and Issue: 37(24), P. 7041 - 7064

Published: Aug. 26, 2021

The earth observation data and CMIP6 models were used to predict plausible soil loss from the Ghaghara river basin. decadal prediction of (28.64 ton/ha/year) was found high for SSP585 CanESM5 during 2015–2025. However, lower value reported as 21.71 ton/ha/year SSP245 MRI-ESM2-0 2035–2045. century level future rainfall erosivity factor lowest SSP245, however highest Access-ESM1-5, CanESM5, IPSL-CM6A-LR. (Access-ESM1-5, IPSL-CM6A-LR) have maximum erosion rate 29.07, 28.03, 28.0 ton/ha/year, respectively. For SSP585, increments observed 35.93%, 31.04%, 30%, respectively, compared baseline year (2014). Whereas, 21.7 24.9 consequently low increment 1.31% 16.55% both scenarios baseline. We that is aligned with predicted factor.

Language: Английский

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Assessment of rainfall-induced soil erosion rate and severity analysis for prioritization of conservation measures using RUSLE and Multi-Criteria Evaluations Technique at Gidabo watershed, Rift Valley Basin, Ethiopia

Ecohydrology & Hydrobiology, Journal Year: 2022, Volume and Issue: 23(1), P. 30 - 47

Published: Sept. 28, 2022

Language: Английский

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Digital Agriculture: Mapping Knowledge Structure and Trends

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 103863 - 103880

Published: Jan. 1, 2023

With the advancement of digital technologies, agriculture improves agricultural efficiency and sustainability, reducing resource waste environmental burden. Hence, DA has emerged as a new catalyst for grain productivity driving force behind climate improvement, with broad prospects. However, is still in its early stage most countries there are few systematic reviews. In China, example, were only 3 non-core reviews out 817 literatures on DA. Meanwhile, use Citespace revolutionary it leverages data visualization to uncover hidden patterns relationships within literatures, aiding researchers achieving their objectives. This study aims address this research gap by using produce non-subjective testable review study, we collected 2264 retrieving WoS database timespan 1997-2022. The results show that (1) over time, annual number publications gradually increased can be roughly divided into three stages: start-up, steady development, rapid development stage; (2) streams further six categories: Remote Sensing, Climate-Smart Agriculture, Artificial Intelligence, Internet Things, Big Data System Integration; (3) frontiers could parts: "exploration technologies", "operation management agriculture" "limitations agriculture"; (4) future should pay more attention innovation scientific evaluation technology operation management. Also, effective policies put forward provide theoretical basis decision-making reference.

Language: Английский

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Impact of Slope Cutoff Factor on Soil Erosion Estimates: A Hilltop Mine‐Based Comparative Geospatial Study

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

ABSTRACT The task of soil erosion estimation received a significant push by integrating remote sensing and geographical information systems (GIS) with the Revised Universal Soil Loss Equation (RUSLE) in early 1990s due to its ease applicability. Topographic (LS) factor played quintessential role loss determination, especially for undulating regions. In most worldwide studies, topographic extracted from Digital Elevation Model (DEM) using “LS equations” failed account varying slopes before material joins stream or river. this study, slope length (L) steepness (S) derived without cutoff are compared analyzed hilltop mine. results reflect that LS and, ultimately, over‐estimated owing absence any limits on terrains when used conventionally GIS environment. mean estimated is 252.26 ton ha −1 year , whereas 332.81 conventional application same equation. overestimation was reduced 35% as per volume‐based validation study. Thus, study proves usefulness factor, which, date, has mostly been neglected research studies terrains. pattern also highlights negating impact vegetation steep slopes, cementing their Nature based Solution (NbS) dynamic landscapes like Mines.

Language: Английский

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Soil Erosion Responses to CMIP6 Climate Scenarios and Land Cover Changes in the Gidabo Watershed, Ethiopia: Implications for Sustainable Watershed Management

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

ABSTRACT Soil erosion, driven by climate and land cover changes, poses a significant challenge to watershed sustainability. This study assessed historical projected soil erosion in Ethiopia's Gidabo Watershed using data from an ensemble of six GCMs Landsat images (2003, 2011, 2019), which were classified predicted integrating the Random Forest classifier Google Earth Engine, InVEST‐SDR model evaluate potential. Historical future change projections revealed trend increasing agricultural built‐up areas, while dense vegetation exhibited declining trend. The average annual precipitation baseline scenario showed insignificant decreasing trend, whereas indicated overall increase. was for both periods CMIP6 (SSP2‐4.5 SSP5‐8.5) with maps. results that mean loss increased 18.74 t ha −1 yr during period 22.75 2030s 24.76 2050s under SSP2‐4.5. Under SSP5‐8.5, rates reached 23.12 25.42 2050s. increase expansion, reduced cover, high rainfall erosivity. High concentrated southwestern northeastern sub‐watersheds, requiring immediate conservation interventions severely eroded areas. Reforestation, terracing, sustainable management are essential mitigate enhance resilience, providing key insights targeted strategies management.

Language: Английский

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