Characteristics and discrepant responses of rainfall erosivity to El Niño-southern oscillation under varied rainfall intensity in a Karst Hilly region, China

Bibliographic Details
Title: Characteristics and discrepant responses of rainfall erosivity to El Niño-southern oscillation under varied rainfall intensity in a Karst Hilly region, China
Authors: Qiao Zhao, Jianzan Yang, Huawei Xiang, Jianhua Dong, Yue Li, Qingping Zhou, Xiong Song, Chong Wei
Source: Journal of Hydrology: Regional Studies, Vol 56, Iss , Pp 102075- (2024)
Publisher Information: Elsevier, 2024.
Publication Year: 2024
Collection: LCC:Physical geography
LCC:Geology
Subject Terms: Rainfall erosivity, Spatio-temporal variations, Elevation effect, Soil erosion prevention, El Niño-Southern Oscillation, Guizhou province, Physical geography, GB3-5030, Geology, QE1-996.5
More Details: Study regions: The Guizhou Province (GZP) in southwestern China, where mainly comprises Karst regions. Study focus: The rainfall records were collected from 45 rain gauges within GZP during 1960–2019 to calculate the Rainfall Erosivity (RE). In addition, the spatio-temporal characteristics of RE were analyzed using statistical analysis methods, and the effect of El Niño-Southern Oscillation (ENSO) on RE under different rainfall intensities was also explored for the first time. New hydrological insights for the region: The annual average RE was 4774 MJ·mm·hm−2·h−1, exhibiting a persistent increasing trend. RE demonstrated an increasing trend in most months, except for April and May, and the trend would continue in the future. The southern region of the GZP exhibited higher RE values, while the northern region displayed lower values. The spatial distribution varied across different seasons and months. On an annual scale, RE was significantly (P < 0.01) negatively correlated with elevation, indicating a decrease in erosive precipitation with increasing elevation. On a monthly scale, except for June to September, RE showed a significant (P < 0.001) negative correlation with elevation. Additionally, the study revealed a significant positive correlation (P < 0.05) with a lag time of 1 year between the total RE and RE under rainfall intensities exceeding 40 mm/day and the Multivariate ENSO Index (MEI). This finding provides a possibility for predicting high-intensity RE with one year ahead.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2214-5818
Relation: http://www.sciencedirect.com/science/article/pii/S2214581824004245; https://doaj.org/toc/2214-5818
DOI: 10.1016/j.ejrh.2024.102075
Access URL: https://doaj.org/article/e29d92acc1ed4f1386118cf0c13db11d
Accession Number: edsdoj.29d92acc1ed4f1386118cf0c13db11d
Database: Directory of Open Access Journals
More Details
ISSN:22145818
DOI:10.1016/j.ejrh.2024.102075
Published in:Journal of Hydrology: Regional Studies
Language:English