JpGU-AGU Joint Meeting 2017

講演情報

[EJ] ポスター発表

セッション記号 A (大気水圏科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW34] [EJ] 水循環・水環境

2017年5月22日(月) 15:30 〜 17:00 ポスター会場 (国際展示場 7ホール)

コンビーナ:林 武司(秋田大学教育文化学部)、Gusyev Maksym(International Centre for Water Hazard Risk Management, Public Works Research Institute)、長尾 誠也(金沢大学環日本海域環境研究センター)、町田 功(産業技術総合研究所地質調査総合センター)、飯田 真一(国立研究開発法人森林総合研究所森林研究部門森林防災研究領域水保全研究室)

[AHW34-P09] Development and Application of a Distributed Source Pollutant Transport Model Based on BTOPMC

*zhang Hongbo1Ao Tianqi2Maksym Gusyev3Li Xiaodong2Wang Haijun1Liu Juan1 (1.KMUST、2.SCU、3.ICHARM)

キーワード:Pollutant transport, BTOPMC, Distributed hydrological model, Muskingum-Cunge Method, Modeling

Agricultural non-point and industrial point sources are contributing nitrogen and phosphorus concentrations in Chinese catchments and these pollutants cause degradation of river water quality for a long distances. To evaluate these impacts, a distributed pollutant transport model was developed on the basis of BTOPMC (Block-Wise Use of TOPMODEL with Muskingum-Cunge Method), a grid-based distributed hydrological model. In this model, the water flow routing process of BTOPMC is the carrier of pollutant transport and these pollutants are washed off with a direct runoff. Pollutant flux for each grid is simulated based on mass balance of pollutants within the grid and pollutant transmission occurs between grids in the direction of the water flow on daily time steps. The model was tested in the study area of the Lu county area situated in the Laixi river basin in the Sichuan province of southwest China. The simulated concentrations of nitrogen and phosphorus are compared with the available monthly data at several water quality stations. These results demonstrate a greater pollutant concentration in the beginning of high flow period indicating the main mechanism of pollution transport. From these preliminary results, we suggest that the distributed pollutant transport model can reflect the characteristics of the pollutant transport and reach the expected target.