TY  - JOUR
A1  - Wada, Yoshihide
A1  - Bierkens, Marc F. P.
A1  - Roo, Ad de
A1  - Dirmeyer, Paul A.
A1  - Famiglietti, James S.
A1  - Hanasaki, Naota
A1  - Konar, Megan
A1  - Liu, Junguo
A1  - Müller Schmied, Hannes
A1  - Oki, Taikan
A1  - Pokhrel, Yadu
A1  - Sivapalan, Murugesu
A1  - Troy, Tara J.
A1  - Dijk, Albert Ide Jan Martijn van
A1  - Emmerik, Tim van
A1  - Huijgevoort, Marjolein H. J. van
A1  - Lanen, Henny A. J. van
A1  - Vörösmarty, Charles J.
A1  - Wanders, Niko
A1  - Wheater, Howard
T1  - Human–water interface in hydrological modelling : current status and future directions
T2  - Hydrology and earth system sciences
N2  - Over recent decades, the global population has been rapidly increasing and human activities have altered terrestrial water fluxes to an unprecedented extent. The phenomenal growth of the human footprint has significantly modified hydrological processes in various ways (e.g. irrigation, artificial dams, and water diversion) and at various scales (from a watershed to the globe). During the early 1990s, awareness of the potential for increased water scarcity led to the first detailed global water resource assessments. Shortly thereafter, in order to analyse the human perturbation on terrestrial water resources, the first generation of large-scale hydrological models (LHMs) was produced. However, at this early stage few models considered the interaction between terrestrial water fluxes and human activities, including water use and reservoir regulation, and even fewer models distinguished water use from surface water and groundwater resources. Since the early 2000s, a growing number of LHMs have incorporated human impacts on the hydrological cycle, yet the representation of human activities in hydrological models remains challenging. In this paper we provide a synthesis of progress in the development and application of human impact modelling in LHMs. We highlight a number of key challenges and discuss possible improvements in order to better represent the human–water interface in hydrological models.
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/44736
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-447366
SN  - 1607-7938
SN  - 1027-5606
N1  - © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License.
VL  - 21
IS  - 8
SP  - 4169
EP  - 4193
PB  - EGU
CY  - Katlenburg-Lindau
ER  -