Evaluating rainfall erosivity on the Tibetan Plateau by integrating high spatiotemporal resolution gridded precipitation and gauge data

被引：0

作者：

Yin B. ^{[1
,2
]}

Xie Y. ^{[3
]}

Yao C. ^{[4
]}

Liu B. ^{[5
]}

机构：

[1] School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang

[2] Institute of Soil and Water Conservation, Northwest A&F University, Shaanxi, Yangling

[3] Department of Geographic Science, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai

[4] College of geographical sciences, Xinyang Normal University, Henan, Xinyang

[5] State Key Lab of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing

[6] Advanced Institute of Natural Sciences, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University at Zhuhai, Zhuhai

来源：

Science of the Total Environment | 2024年 / 947卷

关键词：

Empirical model; Gridded precipitation; Rainfall erosivity; Spatial distribution; Tibetan Plateau;

D O I：

10.1016/j.scitotenv.2024.174334

中图分类号：

学科分类号：

摘要：

High-precision rainfall erosivity mapping is crucial for accurately evaluating regional soil erosion on the Tibetan Plateau (TP) under the backdrop of climate warming and humidification. Although high spatiotemporal resolution gridded precipitation data provides the foundation for rainfall erosivity mapping, the increasing spatial heterogeneity of rainfall with decreasing temporal granularity can lead to greater errors when directly computing rainfall erosivity from gridded precipitation data. In this study, a site-scale conversion coefficient was established so that rainfall erosivity calculated using hourly data can be converted to rainfall erosivity calculated using per-minute data. A revised model was established for calculating the rainfall erosivity based on high-resolution hourly precipitation data from the Third Pole gridded precipitation dataset (TPHiPr). The results revealed a notable underestimation in the original calculation results obtained using the TPHiPr, but strong correlation was observed between the two sets of results. There was a significant improvement in the Nash–Sutcliffe coefficient of efficiency (from −0.39 to 0.80) and the Percent Bias (from −63.95 % to 0.37 %) after model revision. The TPHiPr effectively depict the spatial characteristics of rainfall erosivity on the TP. It accurately reflected the rain shadow area on the northern flank of the Himalayas and the dry-hot valley in the Hengduan Mountains. It also showed high rainfall erosivity values in the tropical rainforest area on the southern flank of the eastern Himalayas. The overall trend of rainfall erosivity has increased on the TP during the period 1981 to 2020, with 65.91 % of the regions exhibiting an increasing trend and 22.25 % showing significant increases, indicating an intensified risk of water erosion. These findings suggest that the 40-year-high spatial resolution rainfall erosivity dataset can provide accurate data support for a quantitative understanding of soil erosion on the TP. © 2024 Elsevier B.V.

引用

共 64 条

[1]

Andermann C., Bonnet S., Gloaguen R., Evaluation of precipitation data sets along the Himalayan front, Geochem. Geophys. Geosyst., 12, 7, (2013)

[2]

Ashouri H., Hsu K.-L., Sorooshian S., Et al., PERSIANN-CDR: daily precipitation climate data record from multisatellite observations for hydrological and climate studies, Bull. Am. Meteorol. Soc., 96, 1, pp. 69-83, (2015)

[3]

Chang Y., Lei H., Zhou F., Et al., Spatial and temporal variations of rainfall erosivity in the middle Yellow River Basin based on hourly rainfall data, Catena, 216 106406, (2022)

[4]

Chen Y., Xu M., Wang Z., Et al., Applicability of two satellite-based precipitation products for assessing rainfall erosivity in China, Sci. Total Environ., 757 143975, (2021)

[5]

Chen Y., Yang K., La Z., Et al., Hourly Rain Gauge Data of Warm Season (May–September) in the Central and Western Tibetan Plateau (2017–2020), (2022)

[6]

Chen Y., Duan X., Ding M., Et al., New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau, Earth Syst. Sci. Data, 14, 6, pp. 2681-2695, (2022)

[7]

Chen Y., Duan X., Zhang G., Et al., Rainfall erosivity estimation over the Tibetan plateau based on high spatial-temporal resolution rainfall records, Int. Soil Water Conserv. Res., 10, 3, pp. 422-432, (2022)

[8]

Chen Y., Ding M., Zhang G., Et al., The possible role of fused precipitation data in detection of the spatiotemporal pattern of rainfall erosivity over the Tibetan Plateau, China, Catena, 228 107114, (2023)

[9]

Dai W., Zeng Y., Jing T., Et al., Estimation of rainfall erosivity on the Chinese loess plateau: a new combination of the ERA5 dataset and machine learning, J. Hydrol., 624 129892, (2023)

[10]

Das S., Jain M.K., Gupta V., A step towards mapping rainfall erosivity for India using high-resolution GPM satellite rainfall products, Catena, 212 106067, (2022)

← 1 2 3 4 5 6 7 →