A semi‐distributed parallel‐type linear reservoir rainfall‐runoff model and its application in Taiwan

Abstract

The main purpose of this paper is to introduce a semi‐distributed parallel surface rainfall‐runoff conceptual model. In this paper, a general solution of the instantaneous unit hydrograph (IUH) has been derived successfully for N linearly connected reservoirs, each having a different storage constant. The solution is a function of geomorphologic parameters, meteorologic factors and roughness coefficients. The model also takes into account the hydrologic response which is influenced by outflow downstream of a reservoir. For calibration, the shuffled complex evolution (SCE) algorithm is used to search for the global optimal parameters of the model. Because of the parallel structure, the mean roughness parameter of the channel becomes a “conceptual” parameter without a real physical meaning. To evaluate the adaptability of the model adopted, three watersheds around the city of Taipei in Taiwan were chosen to test the effectiveness of the model. The study provides an appropriate rainfall‐runoff model for planning flood mitigation in Taiwan. Copyright © 1999 John Wiley & Sons, Ltd.

Impacts of nutrient management and decrease in paddy field area on groundwater nitrate concentration: a case study at the Nasunogahara alluvial fan, Tochigi Prefecture, Japan

“…Some of the advantages of the tank model are that it is very simple, and it can represent the non-linear characteristics of surface runoff. However, the parameters of the tank model do not vary spatially over the entire watershed (Hsieh and Wang, 1999) or the entire sub-watershed. Although there are many types of land use in this area, the surface (sub-surface) layer was categorized as belonging to two land-use types, paddy or non-paddy.…”

Inferring Hydrograph Components from Rainfall and Streamflow Records Using a Kriging Method‐Based Linear Cascade Reservoir Model1

“…These models derived from the convolution integral are generally known as UH-based modeling and have many applications with regard to hydrological sciences. These derivations with specific parameters are the Nash model (Nash, 1957), mathematical models (Clarke, 1973), geomorphologic IUH (Jin, 1992;Franchini and O'Connell, 1996), the distributed parallel model (Hsieh and Wang, 1999), and subwatershed divisions (Agirre et al, 2005). Rainfall-runoff processes (O'Connell and Todini, 1996 1998) have been modeled with IUH.…”

Comparison of genetic algorithms and shuffled complex evolution approach for calibrating distributed rainfall–runoff model

“…Gupta et al (1999a) applied the SCE to the calibration of Sacramento soil moisture accounting (SAC-SMA) streamflow forecasting model. Hsieh and Wang (1999) used the SCE in a semidistributed parallel-type linear reservoir rainfall-runoff model to search for the global optimal parameter. Yu and Yang (2000a) and Yu et al (2001) applied the SCE in the calibration of lumped and distributed rainfall-runoff models, respectively.…”