在气候变化下预测印度的干旱易感地区:通过开发干旱易感指数进行全面分析
Syed Tayyaba1,2, Harish Puppala3,4, Manoj Kumar Arora1,2
1Department of Civil Engineering, SRM University-AP, Amaravati, 522240, Andhra Pradesh, India.
Environmental monitoring and assessment
|July 5, 2025
概括
气候变化加剧了干旱. 这项研究引入了一个新的干旱易感指数 (DPI) 和加权的多模型组合,以准确预测未来的干旱严重程度,帮助减缓战略.
科学领域:
- 气候科学 气候科学
- 环境建模环境建模
- 自然危害评估自然危害评估
背景情况:
- 干旱是严重的自然灾害,由气候变化加剧.
- 现有的使用一般流通模型 (GCM) 的多模型合集 (MME) 由于模型偏差和跨社会经济路径 (SSP) 的特定区域分析而存在局限性.
- 跨SSP的不一致发现阻碍了有效的干旱管理策略.
研究的目的:
- 提出一种新的干旱易感指数 (DPI),使用类似于理想解决方案的优先顺序技术 (TOPSIS) 来评估干旱的频率和严重程度.
- 使用多标准决策 (MCDM) 框架开发一个偏差纠正的MME,整合Criteria Importance Through Intercriteria Correlation (CRITIC) 和分析层次过程 (AHP).
- 分析印度在不同SSP下的未来干旱情景.
主要方法:
- 开发了一个基于TOPSIS的干旱易感指数 (DPI).
- 在MCDM框架内集成CRITIC和AHP方法,以创建差异加权的MME,克服GCM偏见.
- 应用框架分析印度在近期 (2024-2060年) 和远期 (2061-2100年) 未来的干旱特征.
主要成果:
- 预计印度各个SSP的降雨量 (100-440毫米) 和温度 (0.75-3.5°C) 显著增加.
- 空间地图显示,印度东北部和西部加特山脉的降雨量下降,尽管频率相似,但干旱严重程度更强烈.
- 与均权重组合相比,偏差校正的MME提供了更可靠的干旱预测.
结论:
- 气候变化对干旱特征产生重大影响,需要先进的评估方法.
- 拟议的DPI和加权的MME框架为预测干旱严重程度提供了更高的准确性.
- 调查结果支持决策者优先分配资源并实施有针对性的干旱减缓战略.
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