Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9800
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Main Title: Mesoscale mapping of sediment source hotspots for dam sediment management in data-sparse semi-arid catchments
Author(s): Smetanová, Anna
Müller, Anne
Zargar, Morteza
Suleiman, Mohamed A.
Gholami, Faraz Rabei
Mousavi, Maryam
Type: Article
Language Code: en
Abstract: 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.
URI: https://depositonce.tu-berlin.de/handle/11303/10907
http://dx.doi.org/10.14279/depositonce-9800
Issue Date: 1-Feb-2020
Date Available: 9-Mar-2020
DDC Class: 690 Hausbau, Bauhandwerk
333 Boden- und Energiewirtschaft
550 Geowissenschaften
Subject(s): reservoir siltation
water security
water management
data sharing
spatial-temporal
erosion hotspots
mapping
global datasets
mesoscale
leverage areas
Sponsor/Funder: BMBF, 02WGR1421A-I, GROW - Verbundprojekt SaWaM: Saisonales Wasserressourcen-Management in Trockenregionen: Praxistransfer regionalisierter globaler Informationen, Teilprojekt 1
DFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berlin
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Water
Publisher: MDPI
Publisher Place: Basel
Volume: 12
Issue: 2
Article Number: 396
Publisher DOI: 10.3390/w12020396
EISSN: 2073-4441
Appears in Collections:FG Ökohydrologie & Landschaftsbewertung » Publications

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