scholarly journals PROPOSAL OF RAINFALL-RUNOFF MODEL FOR FORESTED SUB-BASINS APPLYING TO DISTRIBUTED MODEL

2006 ◽  
Vol 50 ◽  
pp. 307-312
Author(s):  
Mitsuo YAMASHITA ◽  
Arata ICHIKAWA
Keyword(s):  
Distributed Model ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model

scholarly journals An investigation of site-similarity approaches to generalisation of a rainfall–runoff model

2007 ◽  
Vol 11 (1) ◽  
pp. 500-515 ◽  
Author(s):  
A. L. Kay ◽  
D. A. Jones ◽  
S. M. Crooks ◽  
T. R. Kjeldsen ◽  
C. F. Fung
Keyword(s):  
Frequency Estimation ◽  
Flood Frequency ◽  
Distributed Model ◽  
Model Parameters ◽  
Rainfall Runoff ◽  
Ungauged Sites ◽  
Calibration Uncertainty ◽  
Property Space ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract. This paper investigates a new approach to spatial generalisation of rainfall–runoff model parameters – site-similarity with pooling groups – for use in flood frequency estimation at ungauged sites using continuous simulation. The method is developed for the generalisation of a simple conceptual model, the Probability Distributed Model, with four parameters which require specific estimation. The study is based on a relatively large sample of catchments in Great Britain. Various options are investigated within the approach. In the final version, the pooling group comprises the 10 calibrated catchments closest, in catchment property space, to the target site, where the catchment properties used to define the space differ for each parameter of the model. An analysis that, explicitly, takes account of calibration uncertainty as a source of error enables the uncertainty associated with generalised parameter values to be reduced, justifiably. The approach uses calibration uncertainty estimated through jack-knifing and employs a weighting scheme within pooling groups that uses weights which vary both with distance in the catchment property space and with the calibration uncertainty. Models using generalised values from this approach perform relatively well compared with direct calibration. Although performance appears to be better in some areas of the country than others, there are no obvious relationships between catchment properties and performance.

scholarly journals The PDM rainfall-runoff model

2007 ◽  
Vol 11 (1) ◽  
pp. 483-499 ◽  
Author(s):  
R. J. Moore
Keyword(s):  
Water Content ◽  
Absorption Capacity ◽  
Distributed Model ◽  
Rainfall Runoff ◽  
Soil Drainage ◽  
Catchment Scale ◽  
Current Form ◽  
Time Flow ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract. The Probability Distributed Model, or PDM, has evolved as a toolkit of model functions that together constitute a lumped rainfall-runoff model capable of representing a variety of catchment-scale hydrological behaviours. Runoff production is represented as a saturation excess runoff process controlled by the absorption capacity (of the canopy, surface and soil) whose variability within the catchment is characterised by a probability density function of chosen form. Soil drainage to groundwater is controlled by the water content in excess of a tension threshold, optionally inhibited by the water content of the receiving groundwater store. Alternatively, a proportional split of runoff to fast (surface storage) and slow (groundwater) pathways can be invoked with no explicit soil drainage function. Recursive solutions to the Horton-Izzard equation are provided for routing flows through these pathways, conveniently considered to yield the surface runoff and baseflow components of the total flow. An alternative routing function employs a transfer function that is discretely-coincident to a cascade of two linear reservoirs in series. For real-time flow forecasting applications, the PDM is complemented by updating methods based on error prediction and state-correction approaches. The PDM has been widely applied throughout the world, both for operational and design purposes. This experience has allowed the PDM to evolve to its current form as a practical toolkit for rainfall-runoff modelling and forecasting.

scholarly journals Adaptive Use of a Conceptual Model for Real Time Flood Forecasting

1997 ◽  
Vol 28 (3) ◽  
pp. 169-188 ◽  
Author(s):  
D. Da Ros ◽  
M. Borga
Keyword(s):  
Real Time ◽  
Initial Conditions ◽  
Flood Forecasting ◽  
Distributed Model ◽  
State Variables ◽  
Rainfall Runoff ◽  
Adaptive Use ◽  
On Line ◽  
Rainfall Runoff Model ◽  
Runoff Model

This paper investigates the adaptive use of a simple conceptual lumped rainfall-runoff model based on a Probability Distributed Model complemented with a Geomorphological Unit Hydrograph. Three different approaches for updating the model and for its use for real time flood forecasting are compared: the first two are based on a parameter updating approach; in the third procedure the model is cast into a state-space form and an Extended Kalman Filter is applied for the on-line estimation of the state variables. The comparison shows that the procedure based on the filtering techniques provides more reliable results; acceptable results are also obtained by using a parameter updating approach based on the on-line adjustment of the initial conditions.

scholarly journals Effects of streamflow isotope sampling strategies on the calibration of a tracer‐aided rainfall‐runoff model

2021 ◽  
Author(s):  
Jamie Lee Stevenson ◽  
Christian Birkel ◽  
Aaron J. Neill ◽  
Doerthe Tetzlaff ◽  
Chris Soulsby
Keyword(s):  
Sampling Strategies ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model

scholarly journals Performance Evaluation of a Two-Parameters Monthly Rainfall-Runoff Model in the Southern Basin of Thailand

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1226
Author(s):  
Pakorn Ditthakit ◽  
Sirimon Pinthong ◽  
Nureehan Salaeh ◽  
Fadilah Binnui ◽  
Laksanara Khwanchum ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Rainfall Runoff ◽  
Management Planning ◽  
Runoff Variation ◽  
Groundwater Exchange ◽  
Monthly Runoff ◽  
Rainfall Runoff Model ◽  
Two Parameters ◽  
Runoff Model

Accurate monthly runoff estimation is crucial in water resources management, planning, and development, preventing and reducing water-related problems, such as flooding and droughts. This article evaluates the monthly hydrological rainfall-runoff model’s performance, the GR2M model, in Thailand’s southern basins. The GR2M model requires only two parameters: production store (X1) and groundwater exchange rate (X2). Moreover, no prior research has been reported on its application in this region. The 37 runoff stations, which are located in three sub-watersheds of Thailand’s southern region, namely; Thale Sap Songkhla, Peninsular-East Coast, and Peninsular-West Coast, were selected as study cases. The available monthly hydrological data of runoff, rainfall, air temperature from the Royal Irrigation Department (RID) and the Thai Meteorological Department (TMD) were collected and analyzed. The Thornthwaite method was utilized for the determination of evapotranspiration. The model’s performance was conducted using three statistical indices: Nash–Sutcliffe Efficiency (NSE), Correlation Coefficient (r), and Overall Index (OI). The model’s calibration results for 37 runoff stations gave the average NSE, r, and OI of 0.657, 0.825, and 0.757, respectively. Moreover, the NSE, r, and OI values for the model’s verification were 0.472, 0.750, and 0.639, respectively. Hence, the GR2M model was qualified and reliable to apply for determining monthly runoff variation in this region. The spatial distribution of production store (X1) and groundwater exchange rate (X2) values was conducted using the IDW method. It was susceptible to the X1, and X2 values of approximately more than 0.90, gave the higher model’s performance.

Effects of conditional parameterization on performance of rainfall-runoff model regarding hydrologic non-stationarity

2012 ◽  
Vol 26 (26) ◽  
pp. 3953-3961 ◽  
Author(s):  
Jiangmei Luo ◽  
Enli Wang ◽  
Shuanghe Shen ◽  
Hongxing Zheng ◽  
Yongqiang Zhang
Keyword(s):  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model
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