scholarly journals Development and Utility Evaluation of a Multi-Composite Water Balance Model

2020 ◽  
Vol 20 (2) ◽  
pp. 239-250
Author(s):  
Yonghyeon Gwon ◽  
Kyunghwan Son ◽  
Kyoungdo Lee ◽  
Gyewoon Choi
Keyword(s):  
Water Balance ◽  
Water Supply ◽  
River Basin ◽  
Model Simulation ◽  
Water Balance Model ◽  
Weather Data ◽  
Balance Model ◽  
Reservoir Water ◽  
Balance Analysis ◽  
Daily Water

This study aimed to develop a water balance model capable of daily analysis of the water supply situation in a multi-composite area, evaluate the utility of the model, and conduct a water balance analysis. The multi-composite water balance model, which was developed to determine the daily water balance in an area, includes five modules: "Weather data build and area mean data," "Rainfall-runoff analysis," "Benefit area and demand estimation," "Reservoir water balance analysis," and "River basin water balance analysis." The study selected eight cities in northwestern Chungcheongnam-do in Korea as target areas and evaluated the utility of the water balance model. Further, the study used observation and model simulation data for its analysis, which found a high degree of accuracy as well as correlation. In addition, daily water balance analysis was conducted to estimate the potential supply, demand, supply, shortage, surplus supply, and shortage days in the river basin, while the ratio of shortage to demand was also determined to identify areas vulnerable to drought. In the future, it will be possible to establish drought countermeasures and facility operation plans by identifying areas with water supply vulnerability using the developed model.

A simple distributed water balance model for an urbanized river basin using remote sensing and GIS techniques

2019 ◽  
Vol 35 (9) ◽  
pp. 954-975
Author(s):  
Olutoyin Adeola Fashae ◽  
Rotimi Oluseyi Obateru ◽  
Adeyemi Oludapo Olusola
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Water Balance Model ◽  
Balance Model ◽  
Gis Techniques

scholarly journals A Daily Water Balance Model Based on the Distribution Function Unifying Probability Distributed Model and the SCS Curve Number Method

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 143
Author(s):  
Marwan Kheimi ◽  
Shokry M. Abdelaziz
Keyword(s):  
Distribution Function ◽  
Water Balance ◽  
Soil Water ◽  
Storage Tank ◽  
Water Storage ◽  
Curve Number ◽  
Water Balance Model ◽  
Balance Model ◽  
Soil Water Storage ◽  
Daily Water

A new daily water balance model is developed and tested in this paper. The new model has a similar model structure to the existing probability distributed rainfall runoff models (PDM), such as HyMOD. However, the model utilizes a new distribution function for soil water storage capacity, which leads to the SCS (Soil Conservation Service) curve number (CN) method when the initial soil water storage is set to zero. Therefore, the developed model is a unification of the PDM and CN methods and is called the PDM–CN model in this paper. Besides runoff modeling, the calculation of daily evaporation in the model is also dependent on the distribution function, since the spatial variability of soil water storage affects the catchment-scale evaporation. The generated runoff is partitioned into direct runoff and groundwater recharge, which are then routed through quick and slow storage tanks, respectively. Total discharge is the summation of quick flow from the quick storage tank and base flow from the slow storage tank. The new model with 5 parameters is applied to 92 catchments for simulating daily streamflow and evaporation and compared with AWMB, SACRAMENTO, and SIMHYD models. The performance of the model is slightly better than HyMOD but is not better compared with the 14-parameter model (SACRAMENTO) in the calibration, and does not perform as well in the validation period as the 7-parameter model (SIMHYD) in some areas, based on the NSE values. The linkage between the PDM–CN model and long-term water balance model is also presented, and a two-parameter mean annual water balance equation is derived from the proposed PDM–CN model.

Hydrologic effects of crop residue management practices

Soil Research ◽  
1985 ◽  
Vol 23 (1) ◽  
pp. 23 ◽  
Author(s):  
DM Freebairn ◽  
WC Boughton
Keyword(s):  
Water Balance ◽  
Crop Residue ◽  
Management Practices ◽  
Empirical Relationship ◽  
Water Balance Model ◽  
Residue Management ◽  
Balance Model ◽  
Long Term Effects ◽  
Crop Residue Management ◽  
Daily Water

A daily water balance model of catchment behaviour was used with rainfall and runoff data from three 1 ha catchments over the period 1976-1981 inclusive to study the effects of different practices of crop residue management on volumes and peak rates of runoff. The practices studied were stubble burning, stubble incorporation, and stubble mulching. Rainfall and runoff data from the six-year study period were used to calibrate the catchment model to each of the management practices in turn. A 64-year record of daily rainfalls from a nearby meteorological station was used to estimate the long-term effects of the practices on the frequency distributions of runoff. An empirical relationship between peak rates of runoff and daily amounts of runoff was used with the daily water balance model to estimate the effects of the practices on peak rates of runoff. Burning of stubble produced the highest peak rates and amounts of runoff and mulching the lowest.

scholarly journals Reliability analysis of rainwater tanks in Melbourne using daily water balance model

2011 ◽  
Vol 56 (1) ◽  
pp. 80-86 ◽  
Author(s):  
Monzur Alam Imteaz ◽  
Amimul Ahsan ◽  
Jamal Naser ◽  
Ataur Rahman
Keyword(s):  
Water Balance ◽  
Reliability Analysis ◽  
Water Balance Model ◽  
Balance Model ◽  
Daily Water ◽  
Rainwater Tanks
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