Results 1 to 10 of about 109 (92)

TASOW – A tool for the automated selection of potential windbreaks [PDF]

MethodsX, 2022
Wind erosion is a process in which soil particles are detached from soils and transported downwind. One effective measure to reduce wind erosion are vegetated windbreaks such as hedgerows as they reduce wind speeds and likewise the forces which detach ...
Simon Scheper, Barbara Kitzler, Thomas Weninger, Peter Strauss, Kerstin Michel   +4 more
doaj   +2 more sources

Vegetation Drastically Reduces Wind Erosion: An Implementation of the RWEQ in the Mongolian Gobi Steppe

Land, 2022
Soil loss prevention is an important ecosystem service for protecting human and environmental health. Using spatiotemporal climate and environmental data of the Eastern Gobi Steppe, a region missing from previous studies of Mongolian wind-based soil ...
Virginia A Kowal, Binbin Huang, Charlotte Weil   +2 more
exaly   +3 more sources

Future climate change impacts on carbon dynamics and ecohydrological risks in the West Liao river Basin, China: implications for carbon management [PDF]

Carbon Balance and Management
The climate system is undergoing unprecedented and dramatic changes, with increasing frequency and intensity of extreme events such as heat waves, droughts and heavy rainfall.
Zixu Qiao, Long Ma, Yang Xu, Dawen Yang, Tingxi Liu, Yang Chen   +5 more
doaj   +2 more sources

Quantifying the Contribution of Forest Restoration to Wind Erosion Control Using RWEQ—A Case Study of Duolun County in Inner Mongolia, China

Remote Sensing
Wind erosion is one of the most severe environmental problems in arid and semi-arid regions, posing a serious threat to ecological security and human settlements.
Yongming Xu
exaly   +3 more sources

Attribution and Risk Assessment of Wind Erosion in the Aral Sea Regions Using Multi-Source Remote Sensing and RWEQ on GEE

Remote Sensing
The rapid desiccation of the Aral Sea has transformed the region into one of the world’s most severe soil wind-erosion hotspots. Despite growing concern, long-term, high-resolution assessments and driver attribution remain insufficient.
Anming Bao, Junli Li, Ding Jianli
exaly   +3 more sources

Evaluation of Kubuqi Desert Wind Erosion Prevention Service and drivers of the actual wind erosion studies Based on RWEQ Model from 2000 to 2022 [PDF]

PLoS ONE
Min Yan
exaly   +2 more sources

Comparison of the Spatial Wind Erosion Patterns of Erosion Risk Mapping and Quantitative Modeling in Eastern Austria

Land, 2021
Various large-scale risk maps show that the eastern part of Austria, in particular the Pannonian Basin, is one of the regions in Europe most vulnerable to wind erosion.
Simon Scheper, Thomas Weninger, Barbara Kitzler, Lenka Lackóová, Wim Cornelis, Peter Strauss, Kerstin Michel   +6 more
doaj   +1 more source

Quantitative Evaluation of Soil Water and Wind Erosion Rates in Pakistan

Remote Sensing, 2023
Soil erosion triggered by water and wind pose a great threat to the sustainable development of Pakistan. In this study, a combination of geographic information systems (GISs) and machine learning approaches were used to predict soil water erosion rates ...
Xuyan Yang, Qinke Yang, Haonan Zhu, Lei Wang, Chunmei Wang, Guowei Pang, Chaozheng Du, Muhammad Mubeen, Mirza Waleed, Sajjad Hussain   +9 more
doaj   +1 more source

Comparing the Results of RWEQ and IRIFR Models for Determining of Land Management Effects on Wind Erosion [PDF]

مدیریت بیابان, 2015
If the wind speed got faster than soil erosion threshold and soil surface with plants, residuals and surface roughness are protected, then the process will lead to wind erosion.
Ali Akbar Nazari Samani, Amir Hooshang Ehsani, Ahmad Golivari, Mahsa Abdolshahnejad   +3 more
doaj   +1 more source

Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform

Remote Sensing, 2020
A lack of long-term soil wind erosion data impedes sustainable land management in developing regions, especially in Central Asia (CA). Compared with large-scale field measurements, wind erosion modeling based on geospatial data is an efficient and ...
Wei Wang, Alim Samat, Yongxiao Ge, Long Ma, Abula Tuheti, Shan Zou, Jilili Abuduwaili   +6 more
doaj   +1 more source