An Integrated Model for Simulating Regional Water Resources Based on Total Evapotranspiration Control Approach

Abstract

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 coefficientR2was 0.92. The Nash-Sutcliffe Efficiency (Ens) of regional total ET simulation was 0.93, and its regression coefficientR2was 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.

Water Allocation Management Under Scarcity: A Bankruptcy Approach

“…In this study, the General Water Allocation and Simulation model (GWAS) is used for water resources planning and management, which is further developed from the Water resources Allocation and Simulation model (WAS) (Sang et al, 2019(Sang et al, , 2018. GWAS takes into account multi-objective problems such as regional water use and drain, reservoir operation, power generation, ecological flow, and characteristics of different economic sectors (Sang et al, 2010;Wang et al, 2014;Yan et al, 2020aYan et al, ,b, 2018Zhai et al, 2017). With the help of two algorithms (the rule algorithm and NSGA-II algorithm) and multi-objective calculation scheme, this model can dynamically simulate the "natural-artificial" water cycle influenced by nature and human beings (see Figure 4.…”

Water replenishment for ecological flow with E-WAS framework: a case study of the Longgang River Basin, Shenzhen, China

“…The E-WAS (ecological flow-oriented WAS model) framework (Yan et al, 2018) is based on the traditional water resource allocation model (WAS), which can dually simulate natural-artificial water cycles that are influenced by both nature and humans (Wang et al, 2014;Zhai et al, 2017;Sang et al, 2010). In order to control multiple types of water sources and dynamically allocate water resources to replenish the ecological water of the river in the model, a virtual reservoir is used in the E-WAS system network and is used in conjunction with the ecological units.…”

“…All of the water that is imported into virtual Figure 1. Water resource allocation network in E-WAS (Yan et al, 2018).…”

“…Existing research regarding ecological reservoir operation mainly focuses on the theories of and calculation methods for the ecological water requirements of river channels, optimization of hydraulic and hydropower engineering systems, water and sediment control in reservoirs, ecological flood control, water quality protection, habitat improvement for organisms in reservoirs and downstream river channels, the evaluation of ecological operation schemes and legislation for ecological operation (Junk, 1982;Petts, 1996;Hughes and Hannart, 2003). Many researchers have studied methods of improving river ecology (Wang et al, 2014;Galat et al, 1998;Day et al, 2012), and noted that the water replenishment strategy is effective for river protection. Although reservoir construction affects the original hydrological form of a river, reservoirs are also used for flood regulation, which can mitigate the imbalance of water in rivers.…”

Future Inflow under Land Use and Climate Changes and Participation Process into the Medium‐Sized Reservoirs in Thailand

“…e hydrological SWAT model has been utilized broadly to examine the inflow of little stream bowl [25][26][27][28][29]. e aftereffects of the hydrological SWAT model make it conceivable to perceive future patterns in the inflow into the supply, which has the impact of empowering the forecast of the storm activity later on.…”