Optimal allocation of water resources in large river basins: I. Theory

1995 ◽  
Vol 9 (1) ◽  
pp. 39-51 ◽  
Author(s):  
Deshan Tang
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
River Basins ◽  
Large River ◽  
Large River Basins

Assessment of impact of climate change on the blue and green water resources in large river basins in China

2014 ◽  
Vol 74 (8) ◽  
pp. 6381-6394 ◽  
Author(s):  
Cui Chen ◽  
Stefan Hagemann ◽  
Junguo Liu
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
River Basins ◽  
Large River ◽  
Green Water ◽  
Impact Of Climate Change ◽  
Large River Basins

scholarly journals Managing Water Resources in Large River Basins

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3486
Author(s):  
William Young ◽  
Nagaraja Rao Harshadeep
Keyword(s):  
Water Resources ◽  
River Basins ◽  
Large River ◽  
Large Rivers ◽  
Large River Basins

The management of water resources in large rivers basins commonly involves challenges and complexities that are not found or are less common in smaller basins [...]

scholarly journals Optimizing water resources management in large river basins with integrated surface water‐groundwater modeling: A surrogate‐based approach

2015 ◽  
Vol 51 (4) ◽  
pp. 2153-2173 ◽  
Author(s):  
Bin Wu ◽  
Yi Zheng ◽  
Xin Wu ◽  
Yong Tian ◽  
Feng Han ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Water Resources Management ◽  
Groundwater Modeling ◽  
River Basins ◽  
Large River ◽  
Resources Management ◽  
Large River Basins

scholarly journals Disruptive Technologies for Improving Water Security in Large River Basins

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2783 ◽  
Author(s):  
Nagaraja Rao Harshadeep ◽  
William Young
Keyword(s):  
Water Management ◽  
Water Resources ◽  
New Technologies ◽  
Water Security ◽  
Resource Planning ◽  
River Basins ◽  
Large River ◽  
Disruptive Technologies ◽  
Resources Planning ◽  
Large River Basins

Large river basins present significant challenges for water resource planning and management. They typically traverse a wide range of hydroclimatic regimes, are characterized by complex and variable hydrology, and span multiple jurisdictions with diverse water demands and values. They are often data-poor and in many developing economies are characterized by weak water governance. Rapid global change is seeing significant changes to the pressures on the water resources of large basins, exacerbating the challenge of sustainable water management. Diverse technologies have long supported water resource planning and development, from data collection, analytics, simulation, to decision-making, and real-time operations. In the last two decades however, a rapid increase in the range, capability, and accessibility of new technologies, coupled with large reductions in cost, mean there are increasing opportunities for emerging technologies to significantly “disrupt” traditional approaches to water resources management. In this paper, we consider the application of ‘disruptive technologies’ in water resources management in large river basins, through a lens of improving water security. We discuss the role of different actors and institutions for water management considering a range of emerging disruptive technologies. We consider the risks and benefits associated with the use of these technologies and discuss the barriers to their widespread adoption. We obverse a positive trend away from the reliance solely on centralized government institutions and traditional modeling for the collection and analysis of data, towards a more open and dynamic ‘data and knowledge ecosystem’ that draws upon data services at different levels (global to local) to support water planning and operations. We expect that technological advances and cost reductions will accelerate, fueling increased incremental adoption of new technologies in water resources planning and management. Large-basin analytics could become virtually free for users with global, regional, and national development agencies absorbing the costs of development and any subscription services for end users (e.g., irrigators) to help improve water management at user level and improve economic productivity. Collectively, these changes can help to ‘democratize’ water management through improved access to data and information. However, disruptive technologies can also be deployed in top-down or centralized processes, and so their use is sometimes contested or misunderstood. Increased attention therefore needs to be given to ensuring equity in technology access, and to strengthening the governance context for technology deployment. Widespread adoption of disruptive technologies will require adjustments to how water professionals are trained, increased adaptiveness in water resources planning and operations, and careful consideration of privacy and cybersecurity issues.

scholarly journals Using climatic-geomorphological surrogates to identify complete and incidental freshwater conservation gaps within large river basins in China

2021 ◽  
pp. e01744
Author(s):  
Yonglin Mu ◽  
Xiaowen Li ◽  
Yun Guo ◽  
Chen Liang ◽  
Junhong Bai ◽  
...  
Keyword(s):  
River Basins ◽  
Large River ◽  
Freshwater Conservation ◽  
Large River Basins

Projected Changes in Water Balance Components of 11 Large River Basins during the 21st Century and Their Uncertainties

2021 ◽  
Vol 48 (5) ◽  
pp. 666-675
Author(s):  
O. N. Nasonova ◽  
Ye. M. Gusev ◽  
E. E. Kovalev ◽  
G. V. Ayzel ◽  
M. K. Chebanova
Keyword(s):  
Water Balance ◽  
21St Century ◽  
River Basins ◽  
Large River ◽  
Water Balance Components ◽  
Projected Changes ◽  
Large River Basins

scholarly journals Distributed model of hydrological and sediment transport processes in large river basins in Southeast Asia

2015 ◽  
Vol 12 (7) ◽  
pp. 6755-6797 ◽  
Author(s):  
S. Zuliziana ◽  
K. Tanuma ◽  
C. Yoshimura ◽  
O. C. Saavedra
Keyword(s):  
Sediment Transport ◽  
Suspended Sediment ◽  
River Basin ◽  
River Basins ◽  
Large River ◽  
Mekong River ◽  
Distributed Model ◽  
Mekong River Basin ◽  
Chao Phraya River ◽  
Large River Basins

Abstract. Soil erosion and sediment transport have been modeled at several spatial and temporal scales, yet few models have been reported for large river basins (e.g., drainage areas > 100 000 km2). In this study, we propose a process-based distributed model for assessment of sediment transport at a large basin scale. A distributed hydrological model was coupled with a process-based distributed sediment transport model describing soil erosion and sedimentary processes at hillslope units and channels. The model was tested on two large river basins: the Chao Phraya River Basin (drainage area: 160 000 km2) and the Mekong River Basin (795 000 km2). The simulation over 10 years showed good agreement with the observed suspended sediment load in both basins. The average Nash–Sutcliffe efficiency (NSE) and average correlation coefficient (r) between the simulated and observed suspended sediment loads were 0.62 and 0.61, respectively, in the Chao Phraya River Basin except the lowland section. In the Mekong River Basin, the overall average NSE and r were 0.60 and 0.78, respectively. Sensitivity analysis indicated that suspended sediment load is sensitive to detachability by raindrop (k) in the Chao Phraya River Basin and to soil detachability over land (Kf) in the Mekong River Basin. Overall, the results suggest that the present model can be used to understand and simulate erosion and sediment transport in large river basins.

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