Suppr超能文献

评估中国西北干旱内陆河流域流域韧性的演变及归因

Assessing the evolution and attribution of watershed resilience in arid inland river basins, Northwest China.

作者信息

Wang Yuehui, Shi Fengzhi, Yao Peng, Sheng Yu, Zhao Chengyi

机构信息

State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China.

State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sci Total Environ. 2024 Jan 1;906:167534. doi: 10.1016/j.scitotenv.2023.167534. Epub 2023 Oct 4.

Abstract

Water scarcity significantly limits the sustainable development of oasis economies in arid inland river basins. Quantifying watershed resilience and its drivers is a major focus in the fields of hydrology and water resources. In this study, the resilience indicator p represents watershed resilience, while meteorological, hydrological, socioeconomic, and ecological factors are used to investigate the spatial and temporal patterns of resilience and important driving factors in the Hotan River Basin from 1958 to 2020 by combining principal component analysis and random forest model. Results show that the overall resilience of the Hotan River Basin is low, decreasing from the upper (upstream) to the middle and lower (downstream) reaches, and that the intensity of human activities has a negative impact on resilience. Rivers are more likely to reach maximum resilience after experiencing periods of wet and dry conditions, although there is a lag in this progress. The random forest machine learning algorithm was used to accurately predict the resilience levels of the two upstream tributaries Yurungkash and Karakash Rivers, and the downstream Hotan River, with classification accuracies of 84.2 %, 71.4 %, and 87 %, respectively. The factors affecting the resilience of the Yurungkash River are the 30-day maximum, base flow index, low pulse duration, median streamflow in May, median streamflow in August, median streamflow in October, and 7-day maximum. The set of factors used to classify the resilience of the Karakash River include the 7-day maximum, 1-day maximum, median streamflow in June, 30-day maximum, 3-day maximum, median streamflow in February, and autumn temperature. The factors affecting the resilience of the Hotan River are the watershed inflow, Xiaota station runoff, population growth rate, and effective irrigated area. The findings of this study provide a theoretical basis for integrated water resource management and the sustainable development of the oasis economy in the Hotan River Basin.

摘要

水资源短缺严重制约了干旱内陆河流域绿洲经济的可持续发展。量化流域弹性及其驱动因素是水文和水资源领域的主要研究重点。本研究中,弹性指标p代表流域弹性,通过主成分分析和随机森林模型相结合的方法,利用气象、水文、社会经济和生态因素,研究了1958年至2020年和田河流域弹性的时空格局及重要驱动因素。结果表明,和田河流域整体弹性较低,从上游到中下游呈递减趋势,且人类活动强度对弹性有负面影响。河流在经历干湿交替期后更有可能达到最大弹性,不过这一过程存在滞后。利用随机森林机器学习算法准确预测了上游两条支流玉龙喀什河和喀拉喀什河以及下游和田河的弹性水平,分类准确率分别为84.2%、71.4%和87%。影响玉龙喀什河弹性的因素有30天最大流量、基流指数、低脉冲持续时间、5月平均流量、8月平均流量、10月平均流量和7天最大流量。用于分类喀拉喀什河弹性的因素集包括7天最大流量、1天最大流量、6月平均流量、30天最大流量、3天最大流量、2月平均流量和秋季温度。影响和田河弹性的因素有流域入流量、小塔站径流量、人口增长率和有效灌溉面积。本研究结果为和田河流域水资源综合管理和绿洲经济可持续发展提供了理论依据。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验