Mesoscale mapping of sediment source hotspots for dam sediment management in data-sparse semi-arid catchments
- Land degradation and water availability in semi-arid regions are interdependent challenges for management that are influenced by climatic and anthropogenic changes. Erosion and high sediment loads in rivers cause reservoir siltation and decrease storage capacity, which pose risk on water security for citizens, agriculture, and industry. In regions where resources for management are limited, identifying spatial-temporal variability of sediment sources is crucial to decrease siltation. Despite widespread availability of rigorous methods, approaches simplifying spatial and temporal variability of erosion are often inappropriately applied to very data sparse semi-arid regions. In this work, we review existing approaches for mapping erosional hotspots, and provide an example of spatial-temporal mapping approach in two case study regions. The barriers limiting data availability and their effects on erosion mapping methods, their validation, and resulting prioritization of leverage management areas are discussed.
Author details: | Anna SmetanováORCiD, Anne Müller, Morteza Zargar, Mohamed A. Suleiman, Faraz Rabei Gholami, Maryam MousaviORCiD |
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URN: | urn:nbn:de:kobv:517-opus4-472441 |
DOI: | https://doi.org/10.25932/publishup-47244 |
ISSN: | 1866-8372 |
Title of parent work (German): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (1388) |
Publication type: | Postprint |
Language: | English |
Date of first publication: | 2020/02/01 |
Publication year: | 2020 |
Publishing institution: | Universität Potsdam |
Release date: | 2024/03/15 |
Tag: | data sharing; erosion hotspots; global datasets; leverage areas; mapping; mesoscale; reservoir siltation; spatial-temporal; water management; water security |
Issue: | 2 |
Number of pages: | 26 |
Source: | Water 2020, 12(2), 396; https://doi.org/10.3390/w12020396 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie |
DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access / Green Open-Access |
License (German): | CC-BY - Namensnennung 4.0 International |
External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |