Cited by Assessment and quantification of average soil erosion using RUSLE and geospatial modeling for sustainable Land management over Melka-Sedi Catchment, Ethiopia.

Soil Erosion Modeling Using the Revised Universal Soil Loss Equation and a Geographic Information System in a Watershed in the Northeastern Brazilian Cerrado DOI

Wellynne Carla de Sousa Barbosa, Antônio José Teixeira Guerra, Gustavo Souza Valladares

et al.

Geosciences, Journal Year: 2024, Volume and Issue: 14(3), P. 78 - 78

Published: March 14, 2024

Soils have an important task in maintaining vegetation cover and natural resources on Earth are indispensable to societies. However, the accelerated soil erosion has become environmental problem related land settlement for agricultural practices forestry is linked population growth. This study aimed evaluate a watershed downstream of Parnaíba river, northwest Piauí state, Brazilian Cerrado using geotechnology products tools order understand loss map potential actual through qualitative quantitative results support management planning effective efficient way. As modeling tool, this research used Revised Universal Soil Loss Equation (RUSLE). The ranged from very low high. obtained by integration physical factors with use (anthropic action) resulted corresponding category slight (0–0.01 t.ha−1.year−1) extremely high (>100 t.ha−1.year−1). areas greatest were identified uses pasture, exposed soil, cultivated land. It was also possible identify features field, indicating need implement conservation practices.

Language: Английский

Citations

Integration of RUSLE and geospatial modeling for evaluation of annual average soil erosion and implications for sustainable land management over Melka-Sedi catchment, Ethiopia DOI

Bereket Abera Bedada

Journal of Sedimentary Environments, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

Citations

GIS based soil erosion assessment using the USLE model for efficient land management: A case study in an area with diverse pedo-geomorphological and bioclimatic characteristics DOI

Paul Sestraș, Sevastel Mircea, Sanda Roșca

et al.

Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Journal Year: 2023, Volume and Issue: 51(3), P. 13263 - 13263

Published: Sept. 26, 2023

The complex environmental process of soil erosion is crucial to sustainable land management and conservation. This study uses the Universal Soil Loss Equation (USLE) model understand intricate interactions that cause in Cluj County, Romania, a region susceptible landslide phenomenon. established analysis depicts patterns from localised hotspots regions relative stability, providing valuable insights into this critical issue. Spatial distribution maps with color-coded gradients show risk identify vulnerable regions, temporal investigations depicting how changes affect erosion, making it relevant conservation management. A careful USLE model's parameters (Ls, Cs, C, S, K) shows their contributions. rates were graded five classes accordance general practices modelling, which range very-low, low, moderate, high very-high susceptibility erosion. While significant majority county’s surface represented by very-low low risk, several identified intense processes highlights need implement measures area. Identifying solutions encourages stakeholders protect soils, can provide policymakers useful information for developing improved guidelines water

Language: Английский

Citations

Evaluation of ecosystem carrying capacity and diagnosis of obstacle factors in the World Heritage Karst sites DOI

Meirong Xu,

Kangning Xiong, Yue Chen

et al.

Published: Feb. 22, 2025

Language: Английский

Citations

Soil Erosion Assessment Using the Intensity of Erosion and Outflow Model by Estimating Sediment Yield: Case Study in River Basins with Different Characteristics from Cluj County, Romania DOI

Paul Sestraș, Sevastel Mircea,

Sorin Mihai Cîmpeanu

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(16), P. 9481 - 9481

Published: Aug. 21, 2023

As the fertile topsoil is constantly washed away and agricultural production decreased, soil erosion a serious environmental issue that affects entire planet. All river basins experience changes in land use affect sediment dynamics, erodibility, hydrologic response. The main reason for faster rates frequently attributed to those alterations. In current study, Intensity of Erosion Outflow (IntErO) model was used estimate yield maximum outflow from three Cluj County, Transylvania, Romania. Because county hilly has significant issues, it essential have solid understanding how occurs basins. This will allow more precise planning conservation projects effective management severity processes. IntErO offers quick, efficient, feasible insight into changing testing procedures been put place an component ongoing development watershed strategies at regional level. relief characteristics predominant selected prototype significantly influenced resulting real losses. application assessing Transylvanian hills represents novel approach. findings this study hold potential informing policymakers formulation robust regulations pertaining water conservation. Consequently, implementation such measures expected contribute safeguarding basin soils.

Language: Английский

Citations

Multi-Criteria Approach for Watershed Prioritization Using Morphometry, Hypsometric, and Erosion Analysis in the Mandovi River Basin of the Western Coast of India DOI

Basavareddy,

M. S. Ayyanagowdar,

Sujeet Desai

et al.

Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(2)

Published: May 2, 2025

Language: Английский

Citations

Assessing the Impact of Engineering Measures and Vegetation Restoration on Soil Erosion: A Case Study in Osmancık, Türkiye DOI

Semih Ediş, Özgür Burhan Timur, Gamze Tuttu

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(15), P. 12001 - 12001

Published: Aug. 4, 2023

The prioritization of preventing soil loss in Türkiye’s watersheds has become a pressing concern for planners. Numerous mathematical models are presently utilized on global scale erosion prediction. One such model is the Revised Universal Soil Loss Equation (RUSLE), commonly used to estimate average loss. Recently, there been an increased emphasis utilizing USLE/RUSLE conjunction with Geographic Information System (GIS) technology, enabling grid-based analysis predicting and facilitating control measures. This study evaluates effectiveness flood initiatives started 1970s within Emine Creek watershed its tributary rivers Osmancık, Türkiye, RUSLE/GIS technologies. Two distinct maps illustrating potential risks were produced two temporal intervals, comparative was conducted evaluate alterations that transpired. implementation various measures as terracing, afforestation, rehabilitation led notable prediction decreasing watershed. From 1970 2020, rate estimated reduced from 417 256 metric tons per hectare year, demonstrating conservation semi-arid weakly vegetated area at reducing

Language: Английский

Citations

Estimating soil erosion in response to land use/cover change around Ghibe III hydroelectric dam, Southern Ethiopia DOI

Zewde Sufara Yagaso,

Teshome Yirgu Bayu,

Mulugeta Debele Bedane

et al.

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Nov. 7, 2024

Soil erosion is a hazard in every part of the world. The small-scale farmers often grapple with low agricultural production and food insecurity. This study was conducted to estimate soil loss response land use/cover change 1990, 2000, 2010, 2020 around Ghibe hydroelectric III dam Southern Ethiopia. Revised Universal Loss Equation (RUSLE) model applied using geographic information system (GIS). Digital elevation 30 m determine topographic factor supportive practice (P) factor, rainfall from National Meteorological Institute calculate erosivity (R) digital map world for erodibility (K) Landsat 5TM images 8 OLI trends cover management (C) were employed. raster layers topography, management, erosivity, erodibility, conservation techniques processed multiplied GIS platform. overall accuracy supervised classification 89.89. results showed that percentage cropland built-up areas increased by 11.93 32.44%, respectively throughout three periods. Conversely, proportion forest land, grassland, bare bushland declined 8.2, 9.3, 10.13, 8.6%, respectively. average annual rates 30.95 t ha−1 yr−1 1990 43.85 yr−1in 2020. significantly higher than maximum threshold rate Ethiopian highlands (11 yr−1). local government officers, non-governmental organizations, who are trained should strengthen watershed techniques.

Language: Английский

Citations

Soil Erosion Prediction in Western Kazakhstan Through Deep Learning with a Neural Network Approach to LS-Factor Analysis DOI

Moldir Seitkazy, Nail Beisekenov, Moldir Rakhimova

et al.

Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Abstract With the rapid shifts in environmental conditions, accurately predicting soil erosion has become crucial for sustainable management of land resources. This study introduces a deep learning-based approach to forecast risks Western Kazakhstan up 2030, focusing on LS factor defined by Universal Soil Loss Equation (USLE). High-resolution digital elevation models (DEMs) from ASTER GDEM and historical data climate use were utilized train convolutional neural network (CNN), enabling projections future LS-factor changes corresponding risks. To further improve accuracy calculations, System Automated Geoscientific Analyses (SAGA) was applied using multiple-flow algorithm. The results significant rise risk with areas having values between 8 24 expected increase 10%, those above 0.05%, potentially affecting an additional 24,000 km 2 . model achieved 92% rate, underscoring effectiveness learning analysis. integration SAGA provides more detailed understanding processes, enhancing precision predictions.

Language: Английский

Citations

Spatiotemporal Variability in Rainfall Erosivity and Its Teleconnection with Atmospheric Circulation Indices in China DOI

Chenxi Liu, Manyu Dong, Qian Liu

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 16(1), P. 111 - 111

Published: Dec. 21, 2023

Rainfall erosivity (RE) is a critical factor influencing soil erosion, and erosion closely related to land ecosystem health long-term sustainable utilization. To ensure regional stable food supply ecological balance, it crucial study the spatiotemporal distribution factors of RE. This focuses on China its three natural regions using daily precipitation data from 611 stations 1960 2020. The analyses changes in events were classified as moderate, large, heavy based rainfall intensity. RE contribution different levels total was analyzed, key climatic drivers linked identified random forest. results demonstrate that (1) national scale, shows significant increasing trend, marked by an 81.67 MJ·mm·ha−1·h−1/decade. In subregions, Eastern Monsoon Region (EMR) Qinghai–Tibet Plateau (QTR) show with greater change rate EMR 108.54 MJ·mm·ha−1·h−1/decade, Northwest Arid (NAR) nonsignificant upwards trend. (2) average increases northwest–southeast nationwide, ranging 60.15 MJ·mm·ha−1·h−1 31,418.52 MJ·mm·ha−1·h−1. generated exhibits spatial variations. dominant types influenced RE, NAR dominated large QTR affected moderate (3) REs are associated teleconnection indices, but impact these indices varies regions. Western Hemisphere Warm Pool has greatest EMR, while North Atlantic Oscillation Multidecadal QTR, respectively. (4) On for every 1 mm increase annual rainfall, increased 8.54 MJ·mm·ha−1·h−1, sensitivity MJ·mm·ha−1·h−1/mm. For there differences precipitation. highest found at 8.71 MJ·mm·ha−1·h−1/mm, which than (6.19 MJ·mm·ha−1·h−1/mm) (3.60 MJ·mm·ha−1·h−1/mm). can provide theoretical references future prediction agricultural development China.

Language: Английский

Citations