Free internet datasets for streamflow modelling using SWAT in the Johor river basin, Malaysia

8th International Symposium of the Digital Earth

地球科学;计算机科学

Tan, M.L.^1

Institute Geospatial Science and Technology (INSTeG), Faculty of Geoinformation and Real Estate (FGRE), Universiti Teknologi Malaysia, Johor, 81310 Johor Bahru, Malaysia^1

关键词: Acceptable performance;    Calibration procedure;    Coefficient of determination;    Computational approach;    Digital elevation model;    Governmental departments;    Soil and water assessment tool;    Water resources assessment;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012193/pdf
DOI  :  10.1088/1755-1315/18/1/012193

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Streamflow modelling is a mathematical computational approach that represents terrestrial hydrology cycle digitally and is used for water resources assessment. However, such modelling endeavours require a large amount of data. Generally, governmental departments produce and maintain these data sets which make it difficult to obtain this data due to bureaucratic constraints. In some countries, the availability and quality of geospatial and climate datasets remain a critical issue due to many factors such as lacking of ground station, expertise, technology, financial support and war time. To overcome this problem, this research used public domain datasets from the Internet as "input" to a streamflow model. The intention is simulate daily and monthly streamflow of the Johor River Basin in Malaysia. The model used is the Soil and Water Assessment Tool (SWAT). As input free data including a digital elevation model (DEM), land use information, soil and climate data were used. The model was validated by in-situ streamflow information obtained from Rantau Panjang station for the year 2006. The coefficient of determination and Nash-Sutcliffe efficiency were 0.35/0.02 for daily simulated streamflow and 0.92/0.21 for monthly simulated streamflow, respectively. The results show that free data can provide a better simulation at a monthly scale compared to a daily basis in a tropical region. A sensitivity analysis and calibration procedure should be conducted in order to maximize the "goodness-of-fit" between simulated and observed streamflow. The application of Internet datasets promises an acceptable performance of streamflow modelling. This research demonstrates that public domain data is suitable for streamflow modelling in a tropical river basin within acceptable accuracy.