HSPF模型在流域水文与水环境研究中的进展

HSPF （Hydrological Simulation Program-Fortran）模型是在Stanford水文模型的基础上发展起来的。作为半分布式水文水质模型的优秀代表， HSPF模型能够综合模拟河道水力、 流域径流、 土壤流失、 污染物迁移等过程， 从而被广泛应用于流域水文与水环境研究中。通过概述HSPF模型研发与整合的发展历程， 以及模型中PERLND、 IMPLND与RCHRES等3个主要模块结构， 且综述了模型在土地利用变化、 水文过程、 非点源污染模拟以及模型参数校验等方面的研究进展。研究表明： HSPF模型对于经验公式和假设估计仍然存在改进与完善的空间； 对参数的深入分析研究参有助于降低模拟结果的不确定性； HSPF模型对采集数据精度和规范性的要求也较高。最后， 从经验公式完善、 参数不确定性探讨和模拟精度提高等方面对模型的完善提出相关建议， 供相关研究提供参考。

Review on HSPF model in watershed hydrology and water environment research

Hydrological Simulation Program-Fortran （HSPF） model is developed based on the Stanford hydrological model. As an excellent representative of a semi-distributed hydrological and water quality model， the HSPF model can comprehensively simulate processes such as river hydraulics， watershed runoff， soil loss， and pollutant migration， and thus is widely used in watershed hydrology and water environment research. This article outlines the development process of model development and integration， as well as the three main module structures of PERLND， IMPLND， and RCHRES in the model. It also summarizes the various aspects of the model in land use change， hydrological processes， non-point source pollution simulation and model parameter verification. The research progress of the HSPF model found that： the HSPF model still has room for improvement and perfection of empirical formulas and hypothetical estimates； the in-depth analysis of parameters helps reduce the uncertainty of the simulation results； The HSPF model also has higher requirements for the accuracy and standardization of the collected data. Therefore， this article puts forward relevant suggestions on the improvement of the model from the aspects of empirical formula improvement， parameter uncertainty discussion and simulation accuracy improvement.