Evaluation of Reliability, Resilience, and Vulnerability Application for Watershed Health Assessment—A Review

Kuswantoro Marko, Dwita Sutjiningsih, Eko Kusratmoko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Watershed monitoring and assessment efforts are essential to do to know the general health status of the watershed. One tool importantly used is the reliability–resilience–vulnerability (R–R–V) framework which is risk-based with the probabilistic statistical method. In principle, this approach looks at how the system fails when the watershed conditions do not comply with the established standards. This paper aimed to evaluate the application of the R–R–V framework due to the indicators and criteria selected through a review of the previous papers from 1982 to 2020. Based on the literature study, the long duration of time-series data is the main requirement for implementing the R–R–V framework. For this reason, the use of remote sensing data to identify landscape conditions in the form of natural land cover is better than relying on observational data. In addition to being a solution to data limitations, it has the ability to be applied to all areas in order to get a quick conclusion about a reliable health level of the watershed.

Original languageEnglish
Title of host publicationSelected Studies in Environmental Geosciences and Hydrogeosciences - Proceedings of the 3rd Conference of the Arabian Journal of Geosciences CAJG-3
EditorsAmjad Kallel, Maurizio Barbieri, Jesús Rodrigo-Comino, Helder I. Chaminé, Broder Merkel, Haroun Chenchouni, Jasper Knight, Sandeep Panda, Nabil Khélifi, Ali Cemal Benim, Stefan Grab, Hesham El-Askary, Santanu Banerjee, Riheb Hadji, Mehdi Eshagh
PublisherSpringer Nature
Pages103-107
Number of pages5
ISBN (Print)9783031438028
DOIs
Publication statusPublished - 2023
Event3rd Springer Conference of the Arabian Journal of Geosciences, CAJG-3 2020 - Virtual, Online
Duration: 2 Nov 20205 Nov 2020

Publication series

NameAdvances in Science, Technology and Innovation
ISSN (Print)2522-8714
ISSN (Electronic)2522-8722

Conference

Conference3rd Springer Conference of the Arabian Journal of Geosciences, CAJG-3 2020
CityVirtual, Online
Period2/11/205/11/20

Keywords

  • Reliability
  • Remote sensing
  • Resilience
  • Vulnerability
  • Watershed health assessment

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