Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia; Department of Geography and Environment, Jagannath University, Dhaka 1100, Bangladesh.
Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Ultimo, 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. 2021 Feb 20;756:143600. doi: 10.1016/j.scitotenv.2020.143600. Epub 2020 Nov 17.
Droughts are recurring events in Australia and cause a severe effect on agricultural and water resources. However, the studies about agricultural drought risk mapping are very limited in Australia. Therefore, a comprehensive agricultural drought risk assessment approach that incorporates all the risk components with their influencing criteria is essential to generate detailed drought risk information for operational drought management. A comprehensive agricultural drought risk assessment approach was prepared in this work incorporating all components of risk (hazard, vulnerability, exposure, and mitigation capacity) with their relevant criteria using geospatial techniques. The prepared approach is then applied to identify the spatial pattern of agricultural drought risk for Northern New South Wales region of Australia. A total of 16 relevant criteria under each risk component were considered, and fuzzy logic aided geospatial techniques were used to prepare vulnerability, exposure, hazard, and mitigation capacity indices. These indices were then incorporated to quantify agricultural drought risk comprehensively in the study area. The outputs depicted that about 19.2% and 41.7% areas are under very-high and moderate to high risk to agricultural droughts, respectively. The efficiency of the results is successfully evaluated using a drought inventory map. The generated spatial drought risk information produced by this study can assist relevant authorities in formulating proactive agricultural drought mitigation strategies.
干旱是澳大利亚经常发生的事件，对农业和水资源造成严重影响。然而，澳大利亚关于农业干旱风险测绘的研究非常有限。因此，需要采用一种综合的农业干旱风险评估方法，将所有风险组成部分及其影响标准结合起来，为业务干旱管理生成详细的干旱风险信息。本工作采用地理空间技术，结合风险的所有组成部分（危害、脆弱性、暴露和缓解能力）及其相关标准，编制了一种全面的农业干旱风险评估方法。然后，该方法应用于识别澳大利亚新南威尔士州北部地区的农业干旱风险的空间格局。考虑了每个风险组成部分下的 16 个相关标准，并使用模糊逻辑辅助地理空间技术编制了脆弱性、暴露、危害和缓解能力指数。然后将这些指数纳入研究区域，全面量化农业干旱风险。结果表明，约有 19.2%和 41.7%的地区分别处于极高和中至高农业干旱风险之下。利用干旱清单图成功评估了结果的效率。本研究生成的空间干旱风险信息可以帮助相关部门制定积极的农业干旱缓解策略。
