Journal of Tropical Oceanography ›› 2024, Vol. 43 ›› Issue (6): 37-49.doi: 10.11978/2023192CSTR: 32234.14.2023192

• Marine Meteorology • Previous Articles     Next Articles

Simulation study of the evapotranspiration and rainfall infiltration of islands and reefs in the South China Sea

ZHAO Yongzhu(), YAN Jinfeng(), LIU Bei, ZHU Jiang   

  1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  • Received:2023-12-14 Revised:2024-03-12 Online:2024-11-10 Published:2024-12-05
  • Contact: YAN Jinfeng
  • Supported by:
    National Key Research and Development Program of China(2022YFC3103103)

Abstract:

Evapotranspiration and soil infiltration, as the basic links in the rainfall water cycle, play an extremely important role in regional hydrological characteristics and water resource utilization. This study takes the Zhaoshu Island as the study area to estimate the potential evapotranspiration in vegetation areas and the actual evaporation in non-vegetation areas based on PM (Penman-Monteith) formula and SEBAL (surface energy balance algorithm for land) formula, respectively, construct a BP(back propagation) neural network model to simulate the potential evapotranspiration in vegetation areas and the actual evaporation in non-vegetation areas of the island, and simulate rainfall infiltration in beaches and bare soil based on the Kostiakov infiltration model and characteristics of precipitation infiltration process. The results show that the determination coefficients (R2) of the two evapotranspiration simulation models are higher than 0.85, and the model efficiency index (EF) are higher than 0.85. The average daily evapotranspiration of each land cover types on the Zhaoshu Island is the highest in May and the lowest in December of a year. The monthly change of potential evapotranspiration in the vegetation area is the most obvious. In areas with high soil sand content, the R2 of the Kostiakov infiltration model is generally larger than 0.85. The steady infiltration rate of soil in the Zhaoshu Island is about 0.33 cm·min-1. Multi-year rainfall data shows that the rainfall intensity in the study area is basically less than the steady infiltration rate, so the rainfall to the ground basically all infiltrates, and the rainfall infiltration in the dry season and the rainy season is significantly different. This study provides a feasible solution for the simulation of evapotranspiration and rainfall infiltration in the South China Sea islands where there is a lack of measured data, and provides data support for the construction of the island precipitation cycle.

Key words: evapotranspiration, BP neural network, infiltration model, rainfall infiltration

CLC Number: 

  • P426.2