Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models

Mateo, Cherry May R.; Hanasaki, Naota; Komori, Daisuke; Tanaka, Kenji; Kiguchi, Masashi; Champathong, Adisorn; Sukhapunnaphan, Thada; Yamazaki, Dai; Oki, Taikan

doi:10.1002/2013wr014845

Cited by 125 publications

(119 citation statements)

References 52 publications

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“…The model has participated in major international model inter-comparison projects, such as EU Water and Global Change (EU-WATCH; Haddeland et al, 2011) and InterSectoral Impact Model Intercomparison Project (ISIMIP; Schewe et al, 2014;Haddeland et al, 2014), to identify its strengths and weaknesses among the other influential models that are currently available. Recently, H08 has been applied in regional domains, with calibrated hydrological parameters Mateo et al, 2014;Masood et al, 2015).…”

Section: Appendix Amentioning

confidence: 99%

A global hydrological simulation to specify the sources of water used by humans

Hanasaki

Yoshikawa

Pokhrel

et al. 2018

Hydrol. Earth Syst. Sci.

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237

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Abstract. Humans abstract water from various sources to sustain their livelihood and society. Some global hydrological models (GHMs) include explicit schemes of human water abstraction, but the representation and performance of these schemes remain limited. We substantially enhanced the water abstraction schemes of the H08 GHM. This enabled us to estimate water abstraction from six major water sources, namely, river flow regulated by global reservoirs (i.e., reservoirs regulating the flow of the world's major rivers), aqueduct water transfer, local reservoirs, seawater desalination, renewable groundwater, and nonrenewable groundwater. In its standard setup, the model covers the whole globe at a spatial resolution of 0.5• , and the calculation interval is 1 day. All the interactions were simulated in a single computer program, and all water fluxes and storage were strictly traceable at any place and time during the simulation period. A global hydrological simulation was conducted to validate the performance of the model for the period of 1979-2013 (land use was fixed for the year 2000). The simulated water fluxes for water abstraction were validated against those reported in earlier publications and showed a reasonable agreement at the global and country level. The simulated monthly river discharge and terrestrial water storage (TWS) for six of the world's most significantly human-affected river basins were compared with gauge observations and the data derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission. It is found that the simulation including the newly added schemes outperformed the simulation without human activities. The simulated results indicated that, in 2000, of the 3628±75 km 3 yr −1 global freshwater requirement, 2839 ± 50 km 3 yr −1 was taken from surface water and 789 ± 30 km 3 yr −1 from groundwater. Streamflow, aqueduct water transfer, local reservoirs, and seawater desalination accounted for 1786 ± 23, 199 ± 10, 106 ± 5, and 1.8 ± 0 km 3 yr −1 of the surface water, respectively. The remaining 747 ± 45 km 3 yr −1 freshwater requirement was unmet, or surface water was not available when and where it was needed in our simulation. Renewable and nonrenewable groundwater accounted for 607 ± 11 and 182 ± 26 km 3 yr −1 of the groundwater total, respectively. Each source differed in its renewability, economic costs for development, and environmental consequences of usage. The model is useful for performing global water resource assessments by considering the aspects of sustainability, economy, and environment.

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Section: Appendix Amentioning

confidence: 99%

A global hydrological simulation to specify the sources of water used by humans

Hanasaki

Yoshikawa

Pokhrel

et al. 2018

Hydrol. Earth Syst. Sci.

Self Cite

237

179

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“…1, middle right panel), emphasizing that these processes should be incorporated into state-of-the-art hydrological models. Modelling flood events without human water management would also yield a very different picture, particularly in developed countries where regional water storage and dikes are prevalent for flood mitigation (Lauri et al, 2012;Mateo et al, 2014). Without considering these regional measures, flood events could be largely overestimated in hydrological model simulations.…”

Section: Modelling Human Impacts On Extremesmentioning

confidence: 99%

“…Some models allow users to set the spatial domain and resolution freely. Mateo et al (2014) applied the H08 model (Hanasaki et al, 2008a, b) to the Chao Phraya River in Thailand at a spatial resolution of 5 by 5 . Unlike the above-mentioned global studies, they tuned several important hydrological parameters at major river gauging stations by collecting historical meteorological and hydrological data.…”

Section: Global Models For Regional Usementioning

confidence: 99%

Human–water interface in hydrological modelling: current status and future directions

Wada

Bierkens

Roo

et al. 2017

Hydrol. Earth Syst. Sci.

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221

181

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Abstract. 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 largescale 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.

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“…Apart from climatic causes, the extreme flood in 2011 also could have resulted from other factors that involve human activities and civil engineering, such as types of land cover, land-use change (Sriwongsitanon and Taesombat 2011;Jothityangkoon et al 2013), interactions between a river channel and its natural and/or constructed flood plain (Trigg et al 2013), and impacts of reservoir operation (Mateo et al 2014). Water Rakwatin et al 2013;Haraguchi and Lall 2014;Mateo et al 2014).…”

Section: Discussionmentioning

confidence: 99%

“…Water Rakwatin et al 2013;Haraguchi and Lall 2014;Mateo et al 2014). As Komori et al (2012) pointed out, had the water been drained from these reservoirs earlier in the monsoon season (instead of storing it as is common practice), 1 3 10 9 m 3 of floodwater could have been stored in the reservoirs during the monsoon season.…”

Section: Discussionmentioning

confidence: 99%

The 2011 Great Flood in Thailand: Climate Diagnostics and Implications from Climate Change

2015

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Severe flooding occurred in Thailand during the 2011 summer season, which resulted in more than 800 deaths and affected 13.6 million people. The unprecedented nature of this flood in the Chao Phraya River basin (CPRB) was examined and compared with historical flood years. Climate diagnostics were conducted to understand the meteorological conditions and climate forcing that led to the magnitude and duration of this flood. Neither the monsoon rainfall nor the tropical cyclone frequency anomalies alone was sufficient to cause the 2011 flooding event. Instead, a series of abnormal conditions collectively contributed to the intensity of the 2011 flood: anomalously high rainfall in the premonsoon season, especially during March; record-high soil moisture content throughout the year; elevated sea level height in the Gulf of Thailand, which constrained drainage; and other water management factors. In the context of climate change, the substantially increased premonsoon rainfall in CPRB after 1980 and the continual sea level rise in the river outlet have both played a role. The rainfall increase is associated with a strengthening of the premonsoon northeasterly winds that come from East Asia. Attribution analysis using phase 5 of the Coupled Model Intercomparison Project historical experiments pointed to anthropogenic greenhouse gases as the main external climate forcing leading to the rainfall increase. Together, these findings suggest increasing odds for potential flooding of similar intensity to that of the 2011 flood.

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Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models

Cited by 125 publications

References 52 publications

A global hydrological simulation to specify the sources of water used by humans

A global hydrological simulation to specify the sources of water used by humans

Human–water interface in hydrological modelling: current status and future directions

The 2011 Great Flood in Thailand: Climate Diagnostics and Implications from Climate Change

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