Jianshi Zhao

Tsinghua University, Hydraulic Engineering, Faculty Member

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David Seamon

Kansas State University

sabina porfido

Consiglio Nazionale delle Ricerche (CNR)

Dorje Dawa

University of Delhi

Arvind Chandra Pandey

Birla Institute of Technology, Mesra (Ranchi) India

Magdy Torab

Damanhour University

Vikram M . Agone

North Maharashtra University,Jalgaon

Yannis N. Krestenitis

Aristotle University of Thessaloniki

Amir Mosavi

German Research Center for Artificial Intelligence

Blythe Alice Raviola

Università degli Studi di Milano - State University of Milan (Italy)

MOH SHOLICHIN

University of Brawijaya

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Papers by Jianshi Zhao

Thermodynamic Basis of Budyko Curve for Annual Water Balance: Proportionality Hypothesis and Maximum Entropy Production

Understanding water rights and water trading systems in China: A systematic framework

Water Security, 2021

Water rights and water markets are increasingly important as cost-effective tools for managing sc... more Water rights and water markets are increasingly important as cost-effective tools for managing scare water resources by stimulating efficiently uses. A clear and stable water rights system is necessary for sustaining world’s agricultural productions and global food security. However, knowledge gap still exists on identifying the critical elements and their interactions in the water rights system in the context of changing environments. This paper establishes a systematic framework of water rights based on the current practices in China. The relationships among water rights, water entitlements, water-abstraction permits, water rights certificates and seasonal allocations are explained. The water trading rules, trading systems among regions, sectors and individual famers as well as the trading platforms and brokers in China are also discussed for managerial implications. Suggestions are provided to improve China’s water rights and markets by drawing upon the experiences of current pra...

Improving real-time reservoir operation during flood season by making the most of streamflow forecasts

Journal of Hydrology, 2021

Streamflow forecasts play an important role in real-time reservoir operation, especially during t... more Streamflow forecasts play an important role in real-time reservoir operation, especially during the flood season. However, nowcast, short-term, and mid-term forecasts have significant differences in their uncertainties, leading to a gap between these forecasts and their combined use. To make the most of these forecasts, this paper defines a reliable forecast horizon (RFH) and proposes a model based on the three-stage-based operation rule (Three-OR), in which the streamflow forecasts are jointly used with different levels of uncertainty. To evaluate the effectiveness and efficiency of the proposed model, it is applied to the Wan’an Reservoir located at the midstream of the Ganjiang River in China with the objectives of flood control and water utilization (i.e., hydropower generation and water supply). The results reveal the following: 1) both flood control and water utilization can be improved when compared with the current operation rule; 2) floods with a higher peak and larger volu...

A Generalized Martingale Model of Streamflow Forecast Uncertainty Evolution and its Application in the Three Gorge Reservoir Operation

A Forecast-Skill-Based Dynamic Pre-Storm Level Control for Reservoir Flood-Control Operation

Water

The design and operation of reservoirs based on conventional flood-limited water levels (FLWL) im... more The design and operation of reservoirs based on conventional flood-limited water levels (FLWL) implicitly adopts the assumption of hydrological stationarity. As such, historical-record-based FLWL may not be the best choice for flood-control operations due to the inherent non-stationarity of rainfall inputs. With maturing flood forecasts, this study focuses on establishing linkage between FLWL and skill of forecast, thus developing a “dynamic pre-storm level” approach for reservoir flood-control operations. The approach utilizes forecast flood magnitude, forecast skill and exceedance probability of forecast error to determine the pre-storm reservoir storage for each flood event. The exceedance probability of forecast error for each incoming flood is used as the reservoir flood control standard instead of the probability of a static return interval flood. This approach is demonstrated in a hypothetical situation in the Three Gorges Reservoir in China. The results show that under zero-...

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