Monitoring and forecasting water erosion in response to climate change effects using the integration of the global RUSLE/SDR model and predictive models

Applied Soil Ecology, Journal Year: 2025, Volume and Issue: 206, P. 105910 - 105910

Published: Jan. 28, 2025

Language: Английский

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Global soil water erosion responses to climate and land use changes

CATENA, Journal Year: 2024, Volume and Issue: 241, P. 108043 - 108043

Published: April 25, 2024

Language: Английский

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Watershed sediment load modeling based on runoff erosion energy

Journal of Hydrology, Journal Year: 2025, Volume and Issue: 652, P. 132694 - 132694

Published: Jan. 13, 2025

Language: Английский

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Integrating Google Earth Engine and GIS for RUSLE-based soil erosion and sediment yield assessment in Borkena Watershed, Ethiopia

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

Published: Feb. 10, 2025

Language: Английский

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Spatial Quantification of Cropland Soil Erosion Dynamics in the Yunnan Plateau Based on Sampling Survey and Multi-Source LUCC Data

Published: Jan. 17, 2024

Large scale cropland erosion rates mapping and dynamic monitoring are critical for agricultural planning but extremely challenging. In this study, by using field investigation data collected from 20,155 land parcels in 2,781 sample units the National Soil Erosion Survey, use change two decades Land Use/Cover Database of China (NLUD-C), we proposed a new point to surface approach quantitatively assess long-term based on CSLE model non-homogeneous voting. The results show that Yunnan suffers serious problem with unsustainable mean soil rate 40.47t/(ha·a) ratio 70.11%, which significantly higher than those other types. Engineering control measures (ECMS) have profound impact reducing erosion, without ESMs differs more five times. Over past decades, area continues decrease, net reduction 7461.83 km2 −10.55%, causes corresponding 0.32×108 t (12.12% ) decrease loss. We also quantified different LUCC scenarios extraordinarily high variability was found loss basins periods. Conversion forest contributes most reduction, while conversion grassland 56.18% increase erosion. Considering current speed regulation, it is sharp leads rather treatments. dilemma between Grain Green Policy Cropland Protecting Strategy mountainous areas should be treated carefully shared understanding collaborations roles.

Language: Английский

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An assessment of anticipated future changes in water erosion dynamics under climate and land use change scenarios in South Asia

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 637, P. 131341 - 131341

Published: May 13, 2024

Language: Английский

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Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 53, P. 101770 - 101770

Published: April 4, 2024

Target area of this study are the main agricultural production zones Austria. Most important croplands cover flat to pre-alpine areas concentrated in north, east, and southeast The novelty our is spatiotemporal assessment rainfall characteristics that drive erosivity at event level as well identification erosive distribution patterns within events. Our approach allows definition both typical extreme erosivity. Long-term high temporal resolution datasets were used apply a clustering approach, seasonal spatial analyses, distributions (isopleths) identified types (clusters). Three dominant event-types (clusters) strongly relate with Austria's seasonality complex topography. most events (cluster C1) characterized by intensity short duration. C1 have largest occurrence frequency southern Austria occur from May September. Unlike less more evenly distributed (C2 C3) highly pronounced maximum onset event.

Language: Английский

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Integrating High-Resolution Imagery, Deep Learning, and GIS to Estimate Soil Erosion Following Timber Harvesting

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101498 - 101498

Published: Feb. 1, 2025

Language: Английский

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Research on Soil Erosion Based on Remote Sensing Technology: A Review

Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 18 - 18

Published: Dec. 25, 2024

Monitoring and assessing soil erosion is essential for reducing land degradation ensuring food security. It provides critical scientific insights developing effective policies implementing targeted preventive measures. The emergence of remote sensing technology has significantly bolstered research, empowering researchers to comprehensively accurately understand address erosion-related challenges. Consequently, become pivotal in research methodologies. In recent years, significant progress been made on erosion. This study aims encapsulate the current status advancements applications research. catalogs commonly used data sources introduces innovative methodologies detecting soil-erosion-related information utilizing technology. Furthermore, it delves into analysis acquisition methods factors influencing examines crucial role prevalent simulation prediction models. Additionally, this identifies existing challenges outlines prospects developmental directions emphasizing its potential contribute sustainable management practices environmental conservation efforts.

Language: Английский

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Enhanced morphometric analysis for soil erosion susceptibility mapping in the Godavari river basin, India: leveraging Google Earth Engine and principal component analysis

ISH Journal of Hydraulic Engineering, Journal Year: 2023, Volume and Issue: 30(2), P. 228 - 244

Published: Dec. 10, 2023

Morphometric analysis of a drainage basin along with its stream network is indispensable for analysing river basin's prevailing geomorphology, geo-hydrology, and erosional susceptibility. In this study, an enhanced morphometric evaluation method using Google Earth Engine (GEE) Principal Component Analysis (PCA) was used to assess prioritize 12 sub-basins the Godavari River (GRB), India, based on their The findings susceptibility were validated Sediment Yield (SY) model. Our highlight that Indravati, Pranhita, Manjira, i.e. 42.42% (132707.4 km2) entire GRB are at high risk susceptibility, requiring immediate implementation soil conservation measures. also 52.71% in mature stage geological evolution, wherein landform-building processes still ongoing. Overall, has relatively low density dendritic patterns, permeable soils, elongated Moreover, results SY model exhibited 90% agreement analysis. This study presents efficient framework can assist policymakers demarcation priority zones

Language: Английский

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