@misc{SmetanovaMuellerZargaretal.2020,
  author    = {Smetanov{\´a}, Anna and M{\"u}ller, Anne and Zargar, Morteza and Suleiman, Mohamed A. and Gholami, Faraz Rabei and Mousavi, Maryam},
  title     = {Mesoscale mapping of sediment source hotspots for dam sediment management in data-sparse semi-arid catchments},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {2},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-47244},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-472441},
  pages     = {26},
  year      = {2020},
  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.},
  language  = {en}
}
@article{SmetanovaMuellerZargaretal.2020,
  author    = {Smetanov{\´a}, Anna and M{\"u}ller, Anne and Zargar, Morteza and Suleiman, Mohamed A. and Gholami, Faraz Rabei and Mousavi, Maryam},
  title     = {Mesoscale mapping of sediment source hotspots for dam sediment management in data-sparse semi-arid catchments},
  series = {Water},
  volume    = {12},
  journal   = {Water},
  number    = {2},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2073-4441},
  doi       = {10.3390/w12020396},
  pages     = {1 -- 24},
  year      = {2020},
  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.},
  language  = {en}
}
@article{GuzmanAriasSamprognaMohorMendiondo2022,
  author    = {Guzman Arias, Diego Alejandro and Samprogna Mohor, Guilherme and Mendiondo, Eduardo Mario},
  title     = {Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil},
  series = {Urban water journal},
  journal   = {Urban water journal},
  publisher = {Routledge, Taylor \& Francis Group},
  address   = {Abingdon},
  issn      = {1573-062X},
  doi       = {10.1080/1573062X.2022.2058564},
  pages     = {15},
  year      = {2022},
  abstract  = {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.},
  language  = {en}
}