TY  - GEN
A1  - Smetanová, Anna
A1  - Müller, Anne
A1  - Zargar, Morteza
A1  - Suleiman, Mohamed A.
A1  - Gholami, Faraz Rabei
A1  - Mousavi, Maryam
T1  - Mesoscale mapping of sediment source hotspots for dam sediment management in data-sparse semi-arid catchments
T2  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - 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.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1388 
KW  - reservoir siltation
KW  - water security
KW  - water management
KW  - data sharing
KW  - spatial-temporal
KW  - erosion hotspots
KW  - mapping
KW  - global datasets
KW  - mesoscale
KW  - leverage areas
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472441
SN  - 1866-8372
IS  - 2
ER  - 
TY  - JOUR
A1  - Smetanová, Anna
A1  - Müller, Anne
A1  - Zargar, Morteza
A1  - Suleiman, Mohamed A.
A1  - Gholami, Faraz Rabei
A1  - Mousavi, Maryam
T1  - Mesoscale mapping of sediment source hotspots for dam sediment management in data-sparse semi-arid catchments
JF  - Water
N2  - 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.
KW  - reservoir siltation
KW  - water security
KW  - water management
KW  - data sharing
KW  - spatial-temporal
KW  - erosion hotspots
KW  - mapping
KW  - global datasets
KW  - mesoscale
KW  - leverage areas
Y1  - 2020
U6  - https://doi.org/10.3390/w12020396
SN  - 2073-4441
VL  - 12
IS  - 2
SP  - 1
EP  - 24
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Guzman Arias, Diego Alejandro
A1  - Samprogna Mohor, Guilherme
A1  - Mendiondo, Eduardo Mario
T1  - Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil
JF  - Urban water journal
N2  - Climate change and increasing water demand in urban environments necessitate planning water utility companies' finances. Traditionally, methods to estimate the direct water utility business interruption costs (WUBIC) caused by droughts have not been clearly established. We propose a multi-driver assessment method. We project the water yield using a hydrological model driven by regional climate models under radiative forcing scenarios. We project water demand under stationary and non-stationary conditions to estimate drought severity and duration, which are linked with pricing policies recently adopted by the Sao Paulo Water Utility Company. The results showed water insecurity. The non-stationary trend imposed larger differences in the drought resilience financial gap, suggesting that the uncertainties of WUBIC derived from demand and climate models are greater than those associated with radiative forcing scenarios. As populations increase, proactively controlling demand is recommended to avoid or minimize reactive policy changes during future drought events, repeating recent financial impacts.
KW  - Business interruption cost
KW  - water utility company
KW  - hydrological
KW  - droughts
KW  - water security
KW  - urban water
KW  - climate change
Y1  - 2022
U6  - https://doi.org/10.1080/1573062X.2022.2058564
SN  - 1573-062X
SN  - 1744-9006
PB  - Routledge, Taylor & Francis Group
CY  - Abingdon
ER  -