Study on agricultural benefits by increasing capacity of water ponds: a case study at Taoyuan paddy fields

In Taiwan, agricultural water is frequently reduced or suspended for reallocation of water resources during drought. To cope with such a situation, the irrigation district of the Shihmen Reservoir in the northern Taiwan fully utilizes the functions of water ponds to regulate water resources, so that industrial and domestic water demands can be met. Constructing new water ponds is indeed able to increase water storage for irrigation. However, when it is compared with the method of dredging or excavating the existing water ponds, constructing new water ponds is not easily accepted by the public because of environmental protection and land acquisition. Dredging water ponds is adopted to obtain a larger storage capacity, so that more flexibility may be acquired in water allocation during drought. Furthermore, it is more practical from engineering point of view. This study presents a formulation of the pond-dredging problem for an irrigation system. The formulation is implemented as optimization programs and applied to the area irrigated by the eighth lateral of the Taoyuan Irrigation Association. The irrigation area is a paddy field of 2,283.8 hectares and consists of 32 water ponds storage capacity of which is analyzed as dredging is conducted. Two models are presented; the first minimizes the water extracted from the Reservoir in a cropping season; while the second maximizes agricultural financial net benefits. Various allowable dredging ratios are used in the two models for different case studies. The first model shows that the water supplied by the Reservoir decreases as the ratio increases, and it reaches the minimum (2,520.3?×?10⁴m³) when the ratio is 0.5. The second model displays that the maximum agricultural financial net benefit increases as the ratio increases and it reaches the highest value (NT$ 6,996?×?10⁴) when the ratio is 0.5, a result similar to that of the first model. However, the dredging priorities of 32 water ponds for the two models are different because of the optimization objectives. The simulation results provide references to the performance improvement of water ponds. With such improvement, water ponds can possess an optimal capacity, and an optimal regional water allocation during drought can be achieved.