Zuhao Zhou
Ministry of Water Resources
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Zuhao Zhou.
Journal of Irrigation and Drainage Engineering-asce | 2010
Xuefeng Sang; Zuhao Zhou; Hao Wang; Dayong Qin; Zhengli Zhai; Qiang Chen
The basin water cycle affected by human activities presents the duality of natural and human characteristics. The effect of human activities to hydrology is becoming point of focus in the world with the development of society. As a physically based distributed parameter model, soil and water assessment tool is deficient when applied to the area with more human activities. In areas of increased activities, monthly changes in irrigation and consumptive water use has been observed over the years. In the past, this module was applied to a system with very little human influence. In this study we revised the theory and made appropriate improvement on irrigation module and consumptive water use module in order to apply it to the water system in Tianjin City, China, where water cycle is strongly affected by the human activities. The watershed model has been calibrated and validated using measured data available for the main river. By comparing the simulation results between initial model and improved model, the Nash-Sutcliffe efficiency is adjusted from 0.62 to 0.89 and correlation coefficient is improved from 0.79 to 0.91. The resulting validated model improves the simulation precision, especially amends the peak value of runoff, and adequately describes the impact of consumptive water use and irrigation on the natural water cycle. The model developed in this paper can be used to study water resource and water environment management in area of high human activities.
Advances in Meteorology | 2014
Jianhua Wang; Xuefeng Sang; Zhengli Zhai; Yang Liu; Zuhao Zhou
Total evapotranspiration and water consumption (ET) control is considered an efficient method for water management. In this study, we developed a water allocation and simulation (WAS) model, which can simulate the water cycle and output different ET values for natural and artificial water use, such as crop evapotranspiration, grass evapotranspiration, forest evapotranspiration, living water consumption, and industry water consumption. In the calibration and validation periods, a “piece-by-piece” approach was used to evaluate the model from runoff to ET data, including the remote sensing ET data and regional measured ET data, which differ from the data from the traditional hydrology method. We applied the model to Tianjin City, China. The Nash-Sutcliffe efficiency (Ens) of the runoff simulation was 0.82, and its regression coefficient was 0.92. The Nash-Sutcliffe Efficiency (Ens) of regional total ET simulation was 0.93, and its regression coefficient was 0.98. These results demonstrate that ET of irrigation lands is the dominant part, which accounts for 53% of the total ET. The latter is also a priority in ET control for water management.
Archive | 2009
Yangwen Jia; Hao Wang; Hong Gan; Zuhao Zhou; Yaqin Qiu; Jinjun You; Zhiguo Gan; Cunwen Niu
The dualistic model which reflects “natural — artificial” dualistic characteristics of water cycle is developed to support integrated management of water and environment in the Haihe river basin (320000 km2) in North China. The dualistic model is established by coupling a distributed hydrological and water quality model (WEP-L), a water resources allocation model (ROWAS) and a multi-objective decision-making analysis model (DAMOS). Approach of two-hierarchy coupling is adopted for the three models. Hydrological simulation units and planning and management units are subdivided by taking full consideration of two kinds of factors, i.e., natural precipitation-runoff relation and river hydraulics, and human activities of land use and water resources utilization. The Haihe river basin is subdivided into 11752 hydrological simulation units and 125 planning and management units, and simulations of 50 years from 1956 to 2005 are carried out. The result shows that the simulation accuracy of established dualistic model is acceptable. Finally, a preliminary application of the model as a scenario analysis tool is introduced.
Science of The Total Environment | 2018
Ziqi Yan; Zuhao Zhou; Xuefeng Sang; Hao Wang
With rapid urbanization, there will be more conflict between human systems and the river ecological system, and therefore, ecological operations, practices and research must involve the ecological water replenishment of entire river basins with new modeling tools. In this study, based on a water resource allocation and simulation model (WAS), we establish an ecological flow-oriented water resource allocation and simulation framework (E-WAS) by comprehensively considering both ecological flow constraints and ecological flow targets. To control multiple types of water sources and dynamically allocate water resources to replenish ecological water in the river, virtual reservoirs and ecological units are added to the model network. With new water balance equations for virtual reservoirs and ecological units, the E-WAS can simulate the ecological replenishment process in a river basin and can provide a recommended water replenishment scheme that considers optimization principles. The E-WAS was applied in the Pingshan River Basin, Shenzhen, China. Fourteen ecological units and 38 water supply nodes are considered in the model. A water replenishment scheme that used water from 6 reservoirs and reclaimed water from 5 water sewage plants was selected. This scheme significantly increased the satisfactory degree of ecological water demand and efficiently supported the formulation of a control scheme for the water environment of a basin. The E-WAS framework is similar to model plug-ins but helps to avoid the large workload that is required for model redevelopment and can expand the functions of core models relatively quickly.
Langmuir | 2013
Lei Wu; Lin Liu; Bin Gao; Rafael Muñoz-Carpena; Ming Zhang; Hao Chen; Zuhao Zhou; Hao Wang
Journal of Hydrology | 2006
Yangwen Jia; Hao Wang; Zuhao Zhou; Yaqin Qiu; Xiangyu Luo; Jianhua Wang; Denghua Yan; Dayong Qin
Chemical Engineering Journal | 2013
Lin Liu; Bin Gao; Lei Wu; Verónica L. Morales; Liuyan Yang; Zuhao Zhou; Hao Wang
Water Resources Research | 2012
Yangwen Jia; Xiangyi Ding; Hao Wang; Zuhao Zhou; Yaqin Qiu; Cunwen Niu
Journal of Nanoparticle Research | 2013
Lin Liu; Bin Gao; Lei Wu; Liuyan Yang; Zuhao Zhou; Hao Wang
Journal of Water Resources Planning and Management | 2010
Yaqin Qiu; Yangwen Jia; Jincheng Zhao; Xuehong Wang; Jeffrey Bennett; Zuhao Zhou