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Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China

Wind erosion is crucial for assessing regional ecosystem services and sustainable development. The Agro-Pastoral Ecotone of northern China (APEC) is a typical region undergoing wind erosion and soil degradation. In this study, the National Wind Erosion Survey Model of China, the Integrated Wind Eros...

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Autores principales: Liu, Jun, Wang, Xuyang, Zhang, Li, Guo, Zhongling, Chang, Chunping, Du, Heqiang, Wang, Haibing, Wang, Rende, Li, Jifeng, Li, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9368373/
https://www.ncbi.nlm.nih.gov/pubmed/35954892
http://dx.doi.org/10.3390/ijerph19159538
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author Liu, Jun
Wang, Xuyang
Zhang, Li
Guo, Zhongling
Chang, Chunping
Du, Heqiang
Wang, Haibing
Wang, Rende
Li, Jifeng
Li, Qing
author_facet Liu, Jun
Wang, Xuyang
Zhang, Li
Guo, Zhongling
Chang, Chunping
Du, Heqiang
Wang, Haibing
Wang, Rende
Li, Jifeng
Li, Qing
author_sort Liu, Jun
collection PubMed
description Wind erosion is crucial for assessing regional ecosystem services and sustainable development. The Agro-Pastoral Ecotone of northern China (APEC) is a typical region undergoing wind erosion and soil degradation. In this study, the National Wind Erosion Survey Model of China, the Integrated Wind Erosion Modeling System, and the regional versions of the Revised Wind Erosion Equation and Wind Erosion Prediction System were used to evaluate the regional potential wind erosion of the APEC during 2000 and 2012. The results showed that the potential wind erosion predicted by National Wind Erosion Survey Model of China (NWESMC), Revised Wind Erosion Equation (RWEQ), Wind Erosion Prediction System (WEPS), and Integrated Wind Erosion Modeling System (IWEMS) were significantly related to the observed wind erosion collected from published literature, but the observed data were generally smaller than the predicted values. The average potential wind erosions were 12.58, 25.87, 52.63, and 58.72 t hm(−2) a(−1) for NWESMC, RWEQ, WEPS, and IWEMS, respectively, while the spatial pattern and temporal trend of annual potential wind erosion were similar for different wind erosion models. Wind speed, soil moisture, and vegetation coverage were the dominant factors affecting regional wind erosion estimation. These results highlight that it is necessary to comprehensively calibrate and validate the selected wind erosion models. A long-term standard wind erosion monitoring network is urgently required. This study can serve as a useful reference for improving wind erosion models.
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spelling pubmed-93683732022-08-12 Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China Liu, Jun Wang, Xuyang Zhang, Li Guo, Zhongling Chang, Chunping Du, Heqiang Wang, Haibing Wang, Rende Li, Jifeng Li, Qing Int J Environ Res Public Health Article Wind erosion is crucial for assessing regional ecosystem services and sustainable development. The Agro-Pastoral Ecotone of northern China (APEC) is a typical region undergoing wind erosion and soil degradation. In this study, the National Wind Erosion Survey Model of China, the Integrated Wind Erosion Modeling System, and the regional versions of the Revised Wind Erosion Equation and Wind Erosion Prediction System were used to evaluate the regional potential wind erosion of the APEC during 2000 and 2012. The results showed that the potential wind erosion predicted by National Wind Erosion Survey Model of China (NWESMC), Revised Wind Erosion Equation (RWEQ), Wind Erosion Prediction System (WEPS), and Integrated Wind Erosion Modeling System (IWEMS) were significantly related to the observed wind erosion collected from published literature, but the observed data were generally smaller than the predicted values. The average potential wind erosions were 12.58, 25.87, 52.63, and 58.72 t hm(−2) a(−1) for NWESMC, RWEQ, WEPS, and IWEMS, respectively, while the spatial pattern and temporal trend of annual potential wind erosion were similar for different wind erosion models. Wind speed, soil moisture, and vegetation coverage were the dominant factors affecting regional wind erosion estimation. These results highlight that it is necessary to comprehensively calibrate and validate the selected wind erosion models. A long-term standard wind erosion monitoring network is urgently required. This study can serve as a useful reference for improving wind erosion models. MDPI 2022-08-03 /pmc/articles/PMC9368373/ /pubmed/35954892 http://dx.doi.org/10.3390/ijerph19159538 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Jun
Wang, Xuyang
Zhang, Li
Guo, Zhongling
Chang, Chunping
Du, Heqiang
Wang, Haibing
Wang, Rende
Li, Jifeng
Li, Qing
Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China
title Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China
title_full Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China
title_fullStr Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China
title_full_unstemmed Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China
title_short Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China
title_sort regional potential wind erosion simulation using different models in the agro-pastoral ecotone of northern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9368373/
https://www.ncbi.nlm.nih.gov/pubmed/35954892
http://dx.doi.org/10.3390/ijerph19159538
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