Optimal Operation of Floodwater Resources Utilization of Lakes in South-to-North Water Transfer Eastern Route Project

Abstract

In order to meet the demand of emergency water supply in the northern region without affecting normal water transfer, considering the use of the existing South-to-North Water Transfer eastern route project to explore the potential of floodwater resource utilization in the flood season of Hongze Lake and Luoma Lake in Jiangsu Province, this paper carried out relevant optimal operating research. First, the hydraulic linkages between the lakes were generalized, then the water resources allocation mode and the scale of existing projects were clarified. After that, the actual available amount of flood resources in the lakes was evaluated. The average annual available floodwater resources in 2003–2017 was 1.49 billion m3, and the maximum available capacity was 30.84 billion m3. Then, using the floodwater resource utilization method of multi period flood limited water levels, the research period was divided into the main flood season (15 July to 15 August) and the later flood season (16 August to 10 September, 11 September to 30 September) by the Systematic Clustering Analysis method. After the flood control calculation, the limited water level of Hongze Lake in the later flood season can be raised from 12.5 m to 13.0 m, and the capacity of reservoir storage can increase to 696 million m3. The limited water level of Luoma Lake can be raised from 22.5 m to 23.0 m (16 August to 10 September), 23.5 m (11 September to 30 September), and the capacity of reservoir storage can increase from 150 to 300 million m3. Finally, establishing the floodwater resource optimization model of the lake group with the goals of maximizing the floodwater transfer amount and minimizing the flood control risk rate, the optimal water allocation scheme is obtained through the optimization algorithm.

Research on Flood Risk Control Methods and Reservoir Flood Control Operation Oriented towards Floodwater Utilization

“…Figure 10 demonstrates more detailed information about the changes in risk ratio under various FLWLs and flood return periods (5a, 10a, 20a, 50a, 100a). The results in Figure 10 reveal that the risk ratio gradually increases as the FLWL increases, and Figure 9 also indicates that the both risks and benefits increased as FLWL rose, which is in line with some existing studies [33][34][35]. Specifically, taking the flood of shown by the red curve and red cones in Figure 10a for the summer wet season as an example, the risk ratio remains relatively constant when the FLWL is less than 164.00 m. The results in Figure 10 reveal that the risk ratio gradually increases as the FLWL increases, and Figure 9 also indicates that the both risks and benefits increased as FLWL rose, which is in line with some existing studies [33][34][35].…”

“…The results in Figure 10 reveal that the risk ratio gradually increases as the FLWL increases, and Figure 9 also indicates that the both risks and benefits increased as FLWL rose, which is in line with some existing studies [33][34][35]. Specifically, taking the flood of shown by the red curve and red cones in Figure 10a for the summer wet season as an example, the risk ratio remains relatively constant when the FLWL is less than 164.00 m. The results in Figure 10 reveal that the risk ratio gradually increases as the FLWL increases, and Figure 9 also indicates that the both risks and benefits increased as FLWL rose, which is in line with some existing studies [33][34][35]. Specifically, taking the flood of shown by the red curve and red cones in Figure 10a for the summer wet season as an example, the risk ratio remains relatively constant when the FLWL is less than 164.00 m. However, the risk ratio steeply increases with increasing FLWL when the FLWL is greater than 164.00 m. It is important to note that the risk ratios are 0 when the FLWLs are not more than 161.00 m and 164.50 m, respectively, during the summer and autumn wet seasons, which validates the potential of raising the FLWL in another way.…”

Optimal allocation of irrigation water in a single-reservoir and a single-pumping-station system under deficit irrigation conditions

“…In water-scarce areas, there has been much interest in research on the optimal allocation of irrigation water resources with the goal of increasing crop yields. Allocation methods involving irrigation water (Zhu et al 2014;Yang et al 2021), irrigation quota, irrigation timing, water demand characteristics of crops, growth stage, tillage methods (Anzai et al 2014;Yamane et al 2016), competition for water among different crops, and water deficit have all had an effect on optimal water supply decisions concerning irrigation.…”