Next Article in Journal
Sunshine Duration Variability in Haihe River Basin, China, during 1966–2015
Next Article in Special Issue
Participatory Irrigation Management and Irrigation Water Use Efficiency in Maize Production: Evidence from Zhangye City, Northwestern China
Previous Article in Journal / Special Issue
Adapting to Variable Water Supply in the Truckee-Carson River System, Western USA
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Water 2017, 9(10), 769; doi:10.3390/w9100769

Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin

Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
Department of Civil & Environmental Engineering, FAMU-FSU College of Engineering, Florida State University, 2525 Pottsdamer Street, Tallahassee, FL 32310, USA
Center for Water Research, College of Engineering, Peking University, Beijing 100080, China
Cold and Arid Regions Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
Author to whom correspondence should be addressed.
Received: 2 July 2017 / Revised: 19 September 2017 / Accepted: 21 September 2017 / Published: 9 October 2017
(This article belongs to the Special Issue Sustainable Water Management within Inland River Watershed)
View Full-Text   |   Download PDF [2235 KB, uploaded 12 October 2017]   |  


The Precipitation-Runoff Modeling System (PRMS) has been applied to simulate rainfall runoff in Zamask-Yingluoxia subbasin of the Heihe River Basin in this study. By using observed data in the subbasin, the model has been calibrated by comparing model simulations of daily stream flow to observed data at Yinglouxia station for the period of summer in 2004. Then model verification was conducted by keeping the same model parameters for the simulation of the period from 1 January 2003 to 31 December 2006. Results from model verification indicate that the model is able to provide good accuracy of simulations of daily rainfall runoff and river flow at Yinglouxia station, with a Nash-Sutcliffe Efficiency coefficient of 0.90 and the root-mean-square error of 15.7 m3/s. The error of maximum peak flow is 6.9 m3/s (1.8%) and the error of mean flow is 1.4 m3/s (2.5%). Comparing to previous studies, results indicate the improvement of model accuracy in simulations of daily rainfall runoff. The calibrated and verified hydrological model can be used to support flood hazard mitigations and water resource management in the Zamask-Yingluoxia subbasin. View Full-Text
Keywords: hydrological model; rainfall runoff; flow; flood; Zamask-Yingluoxia; Heihe River hydrological model; rainfall runoff; flow; flood; Zamask-Yingluoxia; Heihe River

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Teng, F.; Huang, W.; Cai, Y.; Zheng, C.; Zou, S. Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin. Water 2017, 9, 769.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top