科研之友
微信
新浪微博
Facebook
分享链接
摘要
In recent years, complex large-scale watershed models have been developed to perform simulations of hydrologic and nutrient processes. The potential impact caused by human activities such as agricultural implementations against the environment can be evaluated under future scenarios. Meanwhile, large amount of input data are required to enhance the performance of simulated results. For some natural or urban regions, it is possible to have multiple sources of geophysical data available but the associated effects of using alternating data sources on modeling results is not yet evaluated. In this study, three sources of land use data (Mid-Atlantic Regional Earth Science Applications Center (RESAC 2000), National Land Use Cover Dataset (NLCD 2001), and State Land Use/Cover Maps (STATE) were implemented on the Greensboro watershed, Maryland, USA. The Alternative Dataset Scheme (ADS) and the Parameter Transferability Scheme (PTS) were applied to investigate model predictive uncertainty and the potential impact of cross transferring optimal calibration parameters between models. It was demonstrated that model predictions simulated by SWAT model had better performance when RESAC land use map was used, followed by STATE, and NLCD land use maps. In addition, calibrated best parameter set from RESAC has presented relatively more transferable compared to NLCD and STATE. The use of varying data source may not only alter model predictions and the associated predictive uncertainty but also have direct impact on the transferability of model parameters. The major findings in this study may help future modelers and decision makers to recognize the importance of alternative data source selection. Therefore, the quality of subsequent research work, engineering applications or policies can be further improved.
- 出版日期2015-8
