Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia; Department of Energy and Mineral Resources Engineering, Sejong University, Choongmu-gwan, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea; Center of Excellence for Climate Change Research, King Abdulaziz University, P. O. Box 80234, Jeddah 21589, Saudi Arabia; Earth Observation Center, Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
Sci Total Environ. 2022 Oct 20;844:157239. doi: 10.1016/j.scitotenv.2022.157239. Epub 2022 Jul 9.
Droughts are the most spatially complex natural hazards that exert global impacts and are further aggravated by climate change. The investigation of drought events is challenging as it involves numerous factors ranging from detection and assessment to modelling, management and mitigation. The analysis of these factors and their quantitative assessments have significantly evolved in recent times. In this paper, we review recent methods used to examine and model droughts from a spatial viewpoint. Our analysis was conducted at three spatial scales (point-wise, regional and global) and we evaluated how recent spatial methods have advanced our understanding of drought through case study examples. Further, we also examine and provide a broad overview of relevant case studies related to future drought occurrences under climate change. This study is a comprehensive synthesis of the various quantitative techniques used to assess the spatial characteristics of droughts at different spatial scales, and not an exhaustive review of all drought aspects. However, this serves as a basis for understanding the key milestones and advances accomplished through new spatial concepts relative to the traditional approaches to study drought. This work also aims to address the gaps in knowledge that are in need of further attention and provides recommendations to improve our understanding of droughts.
干旱是最具空间复杂性的自然灾害，对全球产生影响，并因气候变化而进一步加剧。干旱事件的调查具有挑战性，因为它涉及从检测和评估到建模、管理和缓解的众多因素。这些因素的分析及其定量评估在最近有了显著的发展。本文综述了近年来从空间角度研究和模拟干旱的方法。我们的分析在三个空间尺度（点、区域和全球）上进行，并通过案例研究评估了最近的空间方法如何通过案例研究来提高我们对干旱的理解。此外，我们还考察并提供了与气候变化下未来干旱发生相关的广泛案例研究概述。本研究综合了各种用于评估不同空间尺度干旱空间特征的定量技术，而不是对所有干旱方面的详尽回顾。然而，这为理解通过新的空间概念相对于传统方法来研究干旱所取得的关键里程碑和进展提供了基础。这项工作还旨在解决需要进一步关注的知识空白，并提出建议以提高我们对干旱的理解。
