title: [Review on HSPF model for simulation of hydrology and water quality processes].
abstract: Hydrological Simulation Program-FORTRAN (HSPF), written in FORTRAN, is one ol the best semi-distributed hydrology and water quality models, which was first developed based on the Stanford Watershed Model. Many studies on HSPF model application were conducted. It can represent the contributions of sediment, nutrients, pesticides, conservatives and fecal coliforms from agricultural areas, continuously simulate water quantity and quality processes, as well as the effects of climate change and land use change on water quantity and quality. HSPF consists of three basic application components: PERLND (Pervious Land Segment) IMPLND (Impervious Land Segment), and RCHRES (free-flowing reach or mixed reservoirs). In general, HSPF has extensive application in the modeling of hydrology or water quality processes and the analysis of climate change and land use change. However, it has limited use in China. The main problems with HSPF include: (1) some algorithms and procedures still need to revise, (2) due to the high standard for input data, the accuracy of the model is limited by spatial and attribute data, (3) the model is only applicable for the simulation of well-mixed rivers, reservoirs and one-dimensional water bodies, it must be integrated with other models to solve more complex problems. At present, studies on HSPF model development are still undergoing, such as revision of model platform, extension of model function, method development for model calibration, and analysis of parameter sensitivity. With the accumulation of basic data and imorovement of data sharing, the HSPF model will be applied more extensively in China.
authors.affiliation: College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China. lizhaofu@njau.edu.cn
authors.forename: Zhao-fu
authors.initials: ZF
authors.lastname: Li
authors.forename: Hong-Yu
authors.initials: HY
authors.lastname: Liu
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
mesh_terms: D000383:Agriculture; D002681:China; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000379:methods; D062070:Hydrology; D008962:Models, Theoretical; D009566:Nitrates / Q000032:analysis; D009584:Nitrogen / Q000032:analysis; D010758:Phosphorus / Q000032:analysis; D011891:Rain; D045483:Rivers; D014872:Water Movements; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data*; D060753:Water Quality
chemical_list: D009566:Nitrates; D010758:Phosphorus; D009584:Nitrogen