Results 11 to 20 of about 159 (116)

Spatio-temporal variations of wind erosion potential in Khorasan Razavi province using RWEQ model [PDF]

open access: yesمطالعات جغرافیایی مناطق خشک
Aim: Long-term wind erosion data is essential for sustainable land management. Razavi Khorasan province experiences wind erosion, resulting in dust storms that cause considerable damage.
Alireza Rashki, Sajjad Taleghani
doaj   +2 more sources

Global Wind Erosion Reduction Driven by Changing Climate and Land Use

open access: yesEarth's Future
While significant progress has been achieved in researching water erosion, our understanding of global patterns and the magnitude of wind soil erosion remains limited.
Ranhao Sun   +8 more
doaj   +2 more sources

Validation of WEQ, RWEQ and WEPS wind erosion for different arable land management systems in the Argentinean Pampas

open access: yesEarth Surface Processes and Landforms, 2008
AbstractWind erosion is an important soil degradation process in the semi‐arid Pampas of Argentina, but no attempts have been made to predict the process in this region. One limitation for the use of event‐based wind erosion prediction models is the lack of reliable climatic data to initiate these models.
Ted M Zobeck
exaly   +3 more sources

Wind Speed and Vegetation Coverage in Turn Dominated Wind Erosion Change With Increasing Aridity in Africa

open access: yesEarth's Future
Wind erosion is one of the main causes of land degradation and desertification. Clarifying the spatiotemporal variations of wind erosion and the dominant factors of its spatial characteristics and the temporal trend will contribute to the establishment ...
Hanbing Zhang, Jian Peng, Chaonan Zhao
doaj   +2 more sources

Soil Fugitive Dust Pollution in Bole City Near Sayram Lake. [PDF]

open access: yesGeohealth
Abstract Soil fugitive dust significantly degrades air quality in arid regions like Bole City, China. To address methodological limitations causing Particulate matter (PM) overestimation, this study aimed to: (a) Develop a refined 2021 inventory for PM10 and PM2.5 soil dust emissions in Bole City by integrating localized particle size data and the ...
Bai Y   +8 more
europepmc   +2 more sources

基于RWEQ的宁夏草地防风固沙服务评估 [PDF]

open access: yesResources Science, 2019
WANG Yangyang   +7 more
exaly   +2 more sources

Spatiotemporal Variation of Ecological Quality in the Yinshan Mountains Detected by MODIS Remote Sensing Indicators. [PDF]

open access: yesEcol Evol
A comprehensive ecological index MRSEI based on MODIS was proposed. The new indicators of greenness, humidity, and dryness are more applicable to the ecological evaluation of the desertification steppes. The introduction of comprehensive salinity index can effectively reflect the issue of soil salinization. FROM‐TO vector transformation can effectively
Zhao Z, Fang Z, Zhang Y, Ma C.
europepmc   +2 more sources

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

open access: yesLand, 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   +6 more
doaj   +1 more source

The impact of ecological restoration on ecosystem services change modulated by drought and rising CO2

open access: yesGlobal Change Biology, Volume 29, Issue 18, Page 5304-5320, September 2023., 2023
We explored how the impact of ecosystem restoration on ecosystem services dynamics affected by drought and rising CO2. Our results showed rising CO2 enhances the ecosystem services contributed by ecological restoration. However, the negative effect of drought can offset most or even all the ecosystem service provision enhancement of rising CO2 and ...
Binbin Huang   +7 more
wiley   +1 more source

Quantitative Evaluation of Soil Water and Wind Erosion Rates in Pakistan

open access: yesRemote 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   +9 more
doaj   +1 more source

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