CAJ | 학술논문

　　选取赣江上游峡山站以上集水区域为研究区域，以雨量站观测数据为基准数据，评估热带降雨观测计划TRMM-3B42V6降水数据的精度，并采用上述2种降水数据驱动栅格型新安江模型，模拟赣江峡山站日流量和月流量过程。结果表明，尽管TRMM日降水数据较雨量站数据存在较大偏差，但采用TRMM降水数据模拟的日流量能基本再现峡山站的日流量过程；TRMM 月降水数据精度较高，能够较为精确地模拟峡山站的月流量过程。因此TRMM 月降水数据可应用于赣江流域的降雨-径流过程模拟，在无资料地区的水文预报、水资源估算、水资源评价与规划等相关研究领域具有广阔的应用前景。
　　선취공강상유협산참이상집수구역위연구구역，이우량참관측수거위기준수거，평고열대강우관측계화TRMM-3B42V6강수수거적정도，병채용상술2충강수수거구동책격형신안강모형，모의공강협산참일류량화월류량과정。결과표명，진관TRMM일강수수거교우량참수거존재교대편차，단채용TRMM강수수거모의적일류량능기본재현협산참적일류량과정；TRMM 월강수수거정도교고，능구교위정학지모의협산참적월류량과정。인차TRMM 월강수수거가응용우공강류역적강우-경류과정모의，재무자료지구적수문예보、수자원고산、수자원평개여규화등상관연구영역구유엄활적응용전경。
The area controlled by the Xiashan station at the upper Ganjiang River was selected as the study area. Firstly,the tropical rainfall measuring mission(TRMM)3B42V6 precipitation data set covering the study area was evaluated via the comparisons with the rain-gauged precipitation data. Subsequently,the two precipitation data sets were adopted to drive the grid-based Xin′anjiang model to perform streamflow simulations at the Xiashan station. The results show that although large disagreement exists between TRMM daily precipitation and rain-gauged precipitation data sets,the daily streamflow simulation fed with TRMM daily precipitation data could basically reflect the daily streamflow processes at the Xiashan station. TRMM monthly precipitation was comparatively more accurate,which could be employed to precisely simulate the monthly streamflow simulation at the Xiashan station. Overall,TRMM precipitation data could be potentially adopted for rainfall-runoff process simulations in the Ganjiang River basin. It indicates that TRMM multi-satellite precipitation data sets have a promising prospect in the hydrological forecasting and the estimation of water resources in ungauged basins. TRMM data could also be applied to evaluation and plan-ning of water resources.