Key influence of hydrogeological, geochemical, and geological structure factors on runoff characteristics in karst catchments

喀斯特 地表径流 水文地质学 地质学 水文学(农业) 天坑 岩性 径流模型 环境科学 分水岭 土壤科学 岩土工程 地球化学 生物 古生物学 机器学习 计算机科学 生态学
作者
Yingzhong Luo,Qiuwen Zhou,Dawei Peng,Weihong Yan,Mantong Zhao
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:623: 129852-129852 被引量:17
标识
DOI:10.1016/j.jhydrol.2023.129852
摘要

Lithology, dissolution degree, and other geological factors are essential factors affecting karst environments. However, the complex effects of multiple geologic factors on runoff characteristics have not been well quantified in karst catchments. Thus, 30 catchments and four runoff characteristics (runoff coefficient, runoff modulus, annual runoff extremes ratio, and annual runoff variation coefficient) were selected in this study to evaluate the influence of geological factors on runoff characteristics in karst catchments. The linear mixed effect model was used to quantitatively evaluate the contribution rate of each factor to the runoff characteristics, and the structural equation model was used to analyze the quantitative relationship between each factor and the runoff characteristics. The results show that among the three aspects of geological factors, hydrogeological factors have the greatest influence on runoff characteristic values. In turn, the density of sinkhole is the most influential factor among the hydrogeological factors. Geological structure factors had both direct and indirect effects on runoff characteristics (path coefficient is 0.27). Among them, the density of faults is the most influential factor. Geochemical factors affected runoff characteristics more by influencing hydrogeological factors (path coefficient −0.51) or geological structure factors (path coefficient −0.43). In conclusion, data from several watersheds directly confirm that in karst watersheds, these geological factors such as hydrogeology, geochemistry, and geological structure have a very fundamental influence on karst watershed runoff characteristics. Our results can help us further understand karst hydrological processes and improve the accuracy of karst hydrological modeling.
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