scholarly journals Reliability Analysis of Rainwater Harvesting Tanks for Irrigation Use in Greenhouse Agriculture

Hydrology ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 132
Author(s):  
Paraskevi A. Londra ◽  
Ioannis-Eleftherios Kotsatos ◽  
Nikolaos Theotokatos ◽  
Achilleas T. Theocharis ◽  
Nicholas Dercas
Keyword(s):  
Water Balance ◽  
Rainwater Harvesting ◽  
Management Practice ◽  
Daily Rainfall ◽  
Water Balance Model ◽  
Reliability Coefficient ◽  
Balance Model ◽  
Tomato Crop ◽  
Promising Alternative ◽  
Daily Water

Rainwater harvesting is an ancient water management practice that has been used to cover potable and non-potable water needs. In recent years, this practice is adopted as a promising alternative and sustainable source of water to meet irrigation needs in agriculture in arid and semi-arid regions. In the present study, a daily water balance model was applied to investigate the size of rainwater tanks for irrigation use in greenhouse begonia and tomato cultivation in two regions of Greece with significant greenhouse areas. For the application of the water balance model, daily rainfall depth values of a 12-year time series (2008–2020) from representative rainfall stations of the study areas were used, as well as the daily water needs of the crops. The greenhouse roof was assumed to be the water collection area of the rainwater harvesting system with values ranging from 1000 to 10,000 m2. The analysis of the results showed that in the case of the begonia crop, the covered tanks ranged from 100 to 200 m3 per 1000 m2 greenhouse area with a reliability coefficient that ranged from 65 to 72%, respectively, to meet the water needs of plants. Further increase of the reliability coefficient was carried out with disproportionately large volumes of tanks. In the case of the tomato crop, covered tank volumes ranged from 100 to 290 m3 per 1000 m2 of greenhouse area, and had a reliability coefficient of 90% to 100%, respectively, while uncovered tanks had a maximum reliability coefficient of 91% for a critical tank volume of 177 m3 per 1000 m2 of greenhouse area and decreased for any further increase of tank volume.

Rainwater harvesting potential for southwest Nigeria using daily water balance model

2012 ◽  
Vol 62 ◽  
pp. 51-55 ◽  
Author(s):  
Monzur Alam Imteaz ◽  
Omotayo B. Adeboye ◽  
Scott Rayburg ◽  
Abdallah Shanableh
Keyword(s):  
Water Balance ◽  
Rainwater Harvesting ◽  
Water Balance Model ◽  
Balance Model ◽  
Southwest Nigeria ◽  
Daily Water

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

scholarly journals Tangki NAHRIM 2.0: An R-based water balance model for rainwater harvesting tank sizing application

2020 ◽  
Author(s):  
Y. C. Goh ◽  
M. Ideris
Keyword(s):  
Water Balance ◽  
Rainwater Harvesting ◽  
Water Balance Model ◽  
Balance Model ◽  
Web Based ◽  
The Public ◽  
Efficiency Measures ◽  
Desktop Application ◽  
Harvesting Systems ◽  
R Shiny

Abstract Tangki NAHRIM, a desktop application developed in 2008, is widely used for the calculation of optimal tank size for rainwater harvesting in Malaysia. Here we present an overview of the updated version, Tangki NAHRIM 2.0 (TN2) which was developed in the R computing environment. In TN2, a rainwater harvesting system is simulated using a daily water balance model with rainfall input from a built-in database by adopting the yield-after-spillage (YAS) convention. Proposed tank sizes are evaluated based on water saving and storage efficiencies. These results are then visualised in charts showing the relationships between tank sizes and both efficiency measures to help users select the optimal tank size based on their criteria of choice. A simulation was conducted based on a typical Malaysian household for domestic non-potable use as a case study. A web-based GUI for TN2 was developed in R Shiny framework for the public. The GUI has the advantage of being accessible online from any device, and will be able to facilitate the adoption of rainwater harvesting systems by the public at large.

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.

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