Literature DB >> 33248778

Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques.

Muhammad Al-Amin Hoque1, Biswajeet Pradhan2, Naser Ahmed3, Md Shawkat Islam Sohel4.   

Abstract

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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Agricultural drought; Fuzzy logic, Australia; GIS; Remote sensing; Risk assessment

Year:  2020        PMID: 33248778     DOI: 10.1016/j.scitotenv.2020.143600

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Quantitative Evaluation and Obstacle Factor Diagnosis of Agricultural Drought Disaster Risk Using Connection Number and Information Entropy.

Authors:  Yi Cui; Juliang Jin; Xia Bai; Shaowei Ning; Libing Zhang; Chengguo Wu; Yuliang Zhang
Journal:  Entropy (Basel)       Date:  2022-06-25       Impact factor: 2.738

  1 in total

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