Sensitivity analysis and multi-response, multi-criteria evaluation of a physically based distributed model

2002 ◽  
Vol 16 (2) ◽  
pp. 333-353 ◽  
Author(s):  
Steve Anderton ◽  
J�r�me Latron ◽  
Francesc Gallart
Keyword(s):  
Sensitivity Analysis ◽  
Distributed Model ◽  
Multi Criteria Evaluation ◽  
Physically Based

Sensitivity analysis and auto-calibration of an integral dynamic model for river water quality

2002 ◽  
Vol 45 (9) ◽  
pp. 325-332 ◽  
Author(s):  
A. van Griensven ◽  
A. Francos ◽  
W. Bauwens
Keyword(s):  
Sensitivity Analysis ◽  
Assessment Tool ◽  
Calibration Procedure ◽  
Distributed Model ◽  
Shuffled Complex Evolution ◽  
Physically Based ◽  
High Pollution ◽  
Individual Variables ◽  
Weighting Problem ◽  
The One

ESWAT – Extended Soil and Water Assessment Tool – was developed to allow for an integral modelling of the water quantity and quality processes in river basins. ESWAT is a physically based, semi-distributed model, with a moderate-to-large number of parameters and input and output variables (depending on the desegregation scheme). An auto-calibration procedure was implemented for the optimisation of the process parameters. The procedure is based on a new approach for multi-objective calibration and incorporates the algorithms of the Shuffled Complex Evolution Method. The optimisation uses a global optimisation criterion, whereby several output variables can be taken into account simultaneously. A statistical method enables the aggregation of the objective functions for individual variables, hereby avoiding the weighting problem. To select the important parameters for the optimisation, a sensitivity analysis precedes the calibration. The latter analysis is based on the One-factor-At-a-Time (OAT) design approach. The sensitivity analysis and the calibration procedure are applied to the river Dender in Belgium. The river is characterised by high pollution loads and long residence times in summer periods.

Sensitivity Analysis of a Physically Based Distributed Model

2016 ◽  
Vol 30 (5) ◽  
pp. 1669-1684 ◽  
Author(s):  
Vesna Đukić ◽  
Zoran Radić
Keyword(s):  
Sensitivity Analysis ◽  
Distributed Model ◽  
Physically Based

scholarly journals Analysis of hydrological processes with semi-distributed model

2021 ◽  
Author(s):  
Rahmatullah Sediqi ◽  
Mustafa Tombul
Keyword(s):  
Sensitivity Analysis ◽  
Assessment Tool ◽  
Swat Model ◽  
Hydrological Processes ◽  
Distributed Model ◽  
Model Sensitivity ◽  
Discharge Data ◽  
Calibration And Validation ◽  
Physically Based ◽  
Calibration Program

The Soil and Water Assessment Tool (SWAT), a semi-distributed physically-based hydrological model, is broadly used for simulating streamflow and analyzing hydrological processes in the basin. The SWAT model was applied to analyze the hydrological processes in Göksu Himmetli, Zamanti-Ergenuşağı, Göksun Poskoflu ve Hurman-Gözler Üstü sub-basins in the upper region of Seyhan and Ceyhan watersheds located in the south of Turkey. Model sensitivity analysis, calibration, and validation were performed using SWAT-CUP automatic calibration program and SUFI-2 algorithm. According to the model sensitivity analysis results, the most sensitive parameters in these basins have been seen as CN2, ALPHA_BNK, CH_K2, and GW_DELAY. In this study, 11 years (1994-2004) meteorological and eight years (1997-2004) observed flow data were used, three years for the model warm-up period, five years (1997-2001) for calibration, and three years (2002-2004) for validation. The model statistical performance was evaluated using the Nash Sutcliffe Efficiency (NSE) as the objective function. As the result of the model calibration and validation, the NSE value in the considered four sub-basins varied between 0,70 - 0,90. The results obtained in the study showed a relatively high correlation between the observed and simulated discharge data.

Multi-Criteria and Time Dependent Sensitivity Analysis of an Event-Oriented and Physically-Based Distributed Sediment and Runoff Model

2021 ◽  
pp. 126268
Author(s):  
Menberu B. Meles ◽  
Dave C. Goodrich ◽  
Hoshin V. Gupta ◽  
I. Shea Burns ◽  
Carl L. Unkrich ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Time Dependent ◽  
Physically Based ◽  
Runoff Model

scholarly journals A Novel Physically Based Distributed Model for Irrigation Districts’ Water Movement

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 692
Author(s):  
Boyu Mi ◽  
Haorui Chen ◽  
Shaoli Wang ◽  
Yinlong Jin ◽  
Jiangdong Jia ◽  
...  
Keyword(s):  
Soil Water ◽  
Water Movement ◽  
Regional Scale ◽  
Irrigation District ◽  
Distributed Model ◽  
Efficiency Coefficient ◽  
Good Correspondence ◽  
Groundwater Movement ◽  
Irrigation Districts ◽  
Physically Based

The water movement research in irrigation districts is important for food production. Many hydrological models have been proposed to simulate the water movement on the regional scale, yet few of them have comprehensively considered processes in the irrigation districts. A novel physically based distributed model, the Irrigation Districts Model (IDM), was constructed in this study to address this problem. The model combined the 1D canal and ditch flow, the 1D soil water movement, the 2D groundwater movement, and the water interactions among these processes. It was calibrated and verified with two-year experimental data from Shahaoqu Sub-Irrigation Area in Hetao Irrigation District. The overall water balance error is 2.9% and 1.6% for the two years, respectively. The Nash–Sutcliffe efficiency coefficient (NSE) of water table depth and soil water content is 0.72 and 0.64 in the calibration year and 0.68 and 0.64 in the verification year. The results show good correspondence between the simulation and observation. It is practicable to apply the model in water movement research of irrigation districts.

scholarly journals Internal evaluation of a physically-based distributed model using data from a Mediterranean mountain catchment

2002 ◽  
Vol 6 (1) ◽  
pp. 67-84 ◽  
Author(s):  
S. P. Anderton ◽  
J. Latron ◽  
S. M. White ◽  
P. Llorens ◽  
F. Gallart ◽  
...  
Keyword(s):  
Model Performance ◽  
Flow Simulation ◽  
Water Model ◽  
Distributed Model ◽  
Canopy Interception ◽  
Catchment Scale ◽  
Phreatic Surface ◽  
Internal Evaluation ◽  
Mountain Catchment ◽  
Physically Based

Abstract. An evaluation of the performance of a physically-based distributed model of a small Mediterranean mountain catchment is presented. This was carried out using hydrological response data, including measurements of runoff, soil moisture, phreatic surface level and actual evapotranspiration. A-priori model parameterisation was based as far as possible on property data measured in the catchment. Limited model calibration was required to identify an appropriate value for terms controlling water loss to a deeper regional aquifer. The model provided good results for an initial calibration period, when judged in terms of catchment discharge. However, model performance for runoff declined substantially when evaluated against a consecutive, rather drier, period of data. Evaluation against other catchment responses allowed identification of the problems responsible for the observed lack of model robustness in flow simulation. In particular, it was shown that an incorrect parameterisation of the soil water model was preventing adequate representation of drainage from soils during hydrograph recessions. This excess moisture was then being removed via an overestimation of evapotranspiration. It also appeared that the model underestimated canopy interception. The results presented here suggest that model evaluation against catchment scale variables summarising its water balance can be of great use in identifying problems with model parameterisation, even for distributed models. Evaluation using spatially distributed data yielded less useful information on model performance, owing to the relative sparseness of data points, and problems of mismatch of scale between the measurement and the model grid. Keywords: physically-based distributed model, SHETRAN, parameterisation, Mediterranean mountain catchment, internal evaluation, multi-response

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