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Extreme rainfall erosivity: Research advances and future perspectives.
Zhao, Yingshan; Zhu, Dayun; Wu, Zhigao; Cao, Zhen.
Afiliación
  • Zhao Y; School of Karst Science, Guizhou Normal University, Guiyang 550001, China; State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China.
  • Zhu D; School of Karst Science, Guizhou Normal University, Guiyang 550001, China; State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China. Electronic address: zhudayun163@163.com.
  • Wu Z; School of Architecture, Southeast University, Nanjing 210096, China.
  • Cao Z; School of Karst Science, Guizhou Normal University, Guiyang 550001, China; State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China.
Sci Total Environ ; 917: 170425, 2024 Mar 20.
Article en En | MEDLINE | ID: mdl-38296089
ABSTRACT
Extreme rainfall erosivity, the capacity of intense rainfall to induce soil erosion, is vital for anticipating future impacts on soil conservation. Despite extensive research, significant differences persist in terms of understanding influencing mechanisms, potential impacts, estimation models and future trends of extreme rainfall erosivity. Quantitatively describing extreme rainfall erosivity remains a key issue in existing research. In this study, we comprehensively reviewed the literature to assess the relationships between extreme rainfall characteristics and rainfall erosivity, between extreme rainfall erosivity and soil erosion, estimation models and trend prediction. The aim was to summarize previous related research and achievements, providing a better understanding of the generation, impacts and future trends of extreme rainfall erosivity. Future research directions should include identifying the thresholds of extreme rainfall events, increasing research attention on tropical cyclones in terms of rainfall erosivity, considering on the impact of extreme rainfall erosivity on soil erosion, and improving rainfall erosivity estimation and simulation prediction methods. This study could contribute to adapting to global climate change and aiding in formulating soil erosion prevention and environmental protection recommendations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China
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