首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Diagnosing drought using the downstreamness concept: the effect of reservoir networks on drought evolution
Authors:Pieter R van Oel  Eduardo S P R Martins  Alexandre C Costa  Niko Wanders  Henny A J van Lanen
Institution:1. Water Resources Management Group, Wageningen University, Wageningen, The Netherlandspieter.vanoel@wur.nl;3. Funda??o Cearense de Meteorologia e Recursos Hídricos, Fortaleza, Brazil;4. Institute of Engineering and Sustainable Development, Universidade da Integra??o Internacional da Lusofonia Afro-Brasileira (Unilab), Reden??o, Brazil;5. Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USA;6. Department of Physical Geography, Utrecht University, Utrecht, The Netherlands;7. Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, The Netherlands
Abstract:ABSTRACT

To effectively manage hydrological drought, there is an urgent need to better understand and evaluate its human drivers. Using the “downstreamness” concept, we assess the role of a reservoir network in the emergence and evolution of droughts in a river basin in Brazil. In our case study, the downstreamness concept shows the effect of a network of reservoirs on the spatial distribution of stored surface water volumes over time. We demonstrate that, as a consequence of meteorological drought and recovery, the distribution of stored volumes became spatially skewed towards upstream locations, which affected the duration and magnitude of hydrological drought both upstream (where drought was alleviated) and downstream (where drought was aggravated). The downstreamness concept thus appears to be a useful entry point for spatiotemporally explicit assessments of hydrological drought and for determining the likelihood of progression from meteorological drought to a human-modified hydrological drought in a basin.
Keywords:hydrological drought  downstreamness  SPI  reservoirs  water management
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号