A study on drought assessment in the Yi Luo River Basin based on SWAT

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators Pub Date : 2024-11-19 DOI:10.1016/j.ecolind.2024.112852

Xianqi Zhang , Peng Chen , Shengnan Dai

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Abstract

This study delves into the hydrological cycle and drought characteristics of the Yi-Luo River Basin. By quantitatively assessing the impact of climate change on historical runoff variations in the basin, it provides a scientific basis for the rational planning of water and soil resources and the formulation of drought response strategies in the Yi-Luo River Basin. It offers more in-depth guidance for water resource management and ecological protection in the basin. Utilizing the SWAT model, a comprehensive assessment of the drought situation in the Yi-Luo River Basin from 1983 to 2023 was conducted. The study constructed a distributed hydrological model and a drought evaluation model for the basin, combined with GIS technology, to deeply analyze hydrological processes and drought characteristics. It was found that the drought phenomenon in the Yi-Luo River Basin has distinct seasonal and cyclical characteristics, with higher drought rates in summer and autumn due to insufficient precipitation, and a cyclical trend of increasing then decreasing and then increasing again since the 20th century. The spatial distribution characteristics of drought show that extreme and severe droughts are mainly concentrated in the middle reaches of the basin, especially in the Ruyang area, while the upper mountainous areas and downstream plains are generally characterized by mild drought. The distribution characteristics of drought duration indicate that the average duration of drought in the Yi-Luo River Basin is about 32 months, with severe and extreme droughts lasting about 16 months. Drought is more persistent in the middle reaches, while the upper and lower reaches have shorter drought periods. The spatial distribution characteristics of drought intensity show that the average drought intensity in the basin is 25, with higher drought intensity in the central and eastern parts facing more severe droughts. The impact of extreme droughts is relatively small in the upper and middle reaches and the northern part of the basin.

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基于 SWAT 的易洛河流域干旱评估研究

本研究深入探讨了易洛河流域的水文循环和干旱特征。通过定量评估气候变化对流域历史径流变化的影响，为合理规划易洛河流域水土资源、制定抗旱策略提供科学依据。它为流域水资源管理和生态保护提供了更深入的指导。利用 SWAT 模型，对易洛河流域 1983 年至 2023 年的旱情进行了全面评估。研究结合 GIS 技术，构建了流域分布式水文模型和干旱评价模型，深入分析了水文过程和干旱特征。研究发现，易洛河流域干旱现象具有明显的季节性和周期性特征，夏秋季降水不足导致干旱发生率较高，20 世纪以来干旱发生率呈先增后减再增的周期性趋势。干旱的空间分布特征表明，特大干旱和严重干旱主要集中在流域中游，特别是汝阳地区，而上游山区和下游平原地区一般为轻旱。干旱持续时间分布特征表明，沂漯河流域平均干旱持续时间约为 32 个月，重旱和特旱持续时间约为 16 个月。中游干旱持续时间较长，上游和下游干旱持续时间较短。干旱强度的空间分布特征表明，流域平均干旱强度为 25，中部和东部干旱强度较高，面临较严重的干旱。极端干旱对中上游和流域北部的影响相对较小。

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来源期刊

Ecological Indicators 环境科学-环境科学

CiteScore

11.80

自引率

8.70%

发文量

1163

审稿时长

78 days

期刊介绍： The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.