scholarly journals Simple water balance model and crop water demand at different spatial and temporal scales in Periya Pallam catchment of upper Bhavani basin, Tamilnadu

2021 ◽  
pp. 217-224
Author(s):  
A. Raviraj ◽  
Ramachandran J ◽  
Nitin Kaushal ◽  
Arjit Mishra
Keyword(s):  
Water Balance ◽  
Water Use ◽  
Water Demand ◽  
Water Requirement ◽  
Water Balance Model ◽  
Balance Model ◽  
Effective Rainfall ◽  
Rainfall Runoff ◽  
Crop Water ◽  
Crop Water Demand

Reduction in agricultural water use and increasing the sustainability of water resources can be achieved by studying the water balance of the area and crop water demand. In this paper, by using a simple water balance model, Evapotranspiration, Rainfall, Runoff, Water Demand and Water Requirement different crops are estimated. The crop water requirement and crop water demand for different crops grown in the Periya Pallam Catchment of Upper Bhavani Basin, Tamilnadu, was estimated. Water balance estimation of the area reveals that out of the annual rainfall, runoff is estimated to be 129 mm, effective rainfall is 252 mm, and deep percolation is about 67 mm. The demand for water for agriculture in the study area is about 61 million cubic meters (MCM), but only 19 MCM of water is available through precipitation in the form of effective rainfall. Hence, the remaining 43 MCM of water is supplied through groundwater and other sources. The results will pave the way for sustainable crop water use planning and would achieve water security in the basin.

scholarly journals GlobWat – a global water balance model to assess water use in irrigated agriculture

2015 ◽  
Vol 19 (9) ◽  
pp. 3829-3844 ◽  
Author(s):  
J. Hoogeveen ◽  
J.-M. Faurès ◽  
L. Peiser ◽  
J. Burke ◽  
N. van de Giesen
Keyword(s):  
Water Balance ◽  
Water Use ◽  
Open Water ◽  
Water Balance Model ◽  
Green Water ◽  
Balance Model ◽  
Irrigated Agriculture ◽  
High Resolution Data ◽  
Food And Agriculture ◽  
Global Water

Abstract. GlobWat is a freely distributed, global soil water balance model that is used by the Food and Agriculture Organization (FAO) to assess water use in irrigated agriculture, the main factor behind scarcity of freshwater in an increasing number of regions. The model is based on spatially distributed high-resolution data sets that are consistent at global level and calibrated against values for internal renewable water resources, as published in AQUASTAT, the FAO's global information system on water and agriculture. Validation of the model is done against mean annual river basin outflows. The water balance is calculated in two steps: first a "vertical" water balance is calculated that includes evaporation from in situ rainfall ("green" water) and incremental evaporation from irrigated crops. In a second stage, a "horizontal" water balance is calculated to determine discharges from river (sub-)basins, taking into account incremental evaporation from irrigation, open water and wetlands ("blue" water). The paper describes the methodology, input and output data, calibration and validation of the model. The model results are finally compared with other global water balance models to assess levels of accuracy and validity.

scholarly journals GlobWat – a global water balance model to assess water use in irrigated agriculture

2015 ◽  
Vol 12 (1) ◽  
pp. 801-838 ◽  
Author(s):  
J. Hoogeveen ◽  
J.-M. Faurès ◽  
L. Peiser ◽  
J. Burke ◽  
N. van de Giesen
Keyword(s):  
Water Balance ◽  
Water Use ◽  
Open Water ◽  
Water Balance Model ◽  
Green Water ◽  
Balance Model ◽  
Irrigated Agriculture ◽  
Global Soil ◽  
Spatially Distributed ◽  
Global Water

Abstract. GlobWat is a freely distributed, global soil water balance model that is used by FAO to assess water use in irrigated agriculture; the main factor behind scarcity of freshwater in an increasing number of regions. The model is based on spatially distributed high resolution datasets that are consistent at global level and calibrated against values for Internal Renewable Water Resources, as published in AQUASTAT, FAO's global information system on water and agriculture. Validation of the model is done against mean annual river basin outflows. The water balance is calculated in two steps: first a "vertical" water balance is calculated that includes evaporation from in situ rainfall ("green" water) and incremental evaporation from irrigated crops. In a second stage, a "horizontal" water balance is calculated to determine discharges from river (sub-)basins, taking into account incremental evaporation from irrigation, open water and wetlands ("blue" water). The paper describes methodology, input and output data, calibration and validation of the model. The model results are finally compared with other global water balance models.

scholarly journals High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model

2018 ◽  
Vol 10 (11) ◽  
pp. 1682 ◽  
Author(s):  
Kelly Thorp ◽  
Alison Thompson ◽  
Sara Harders ◽  
Andrew French ◽  
Richard Ward
Keyword(s):  
Water Balance ◽  
Water Use Efficiency ◽  
Soil Water ◽  
Water Use ◽  
High Throughput ◽  
Soil Water Balance ◽  
Balance Model ◽  
Crop Water ◽  
Crop Water Use ◽  
Use Efficiency

Improvement of crop water use efficiency (CWUE), defined as crop yield per volume of water used, is an important goal for both crop management and breeding. While many technologies have been developed for measuring crop water use in crop management studies, rarely have these techniques been applied at the scale of breeding plots. The objective was to develop a high-throughput methodology for quantifying water use in a cotton breeding trial at Maricopa, AZ, USA in 2016 and 2017, using evapotranspiration (ET) measurements from a co-located irrigation management trial to evaluate the approach. Approximately weekly overflights with an unmanned aerial system provided multispectral imagery from which plot-level fractional vegetation cover ( f c ) was computed. The f c data were used to drive a daily ET-based soil water balance model for seasonal crop water use quantification. A mixed model statistical analysis demonstrated that differences in ET and CWUE could be discriminated among eight cotton varieties ( p < 0 . 05 ), which were sown at two planting dates and managed with four irrigation levels. The results permitted breeders to identify cotton varieties with more favorable water use characteristics and higher CWUE, indicating that the methodology could become a useful tool for breeding selection.

scholarly journals Comparative evaluation of conceptual and physical rainfall–runoff models

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
R. K. Jaiswal ◽  
Sohrat Ali ◽  
Birendra Bharti
Keyword(s):  
Water Balance ◽  
Swat Model ◽  
Water Balance Model ◽  
Optimization Techniques ◽  
Balance Model ◽  
Series Data ◽  
Climatic Data ◽  
Rainfall Runoff ◽  
Tank Model ◽  
Australian Water

AbstractThe design of water resource structures needs long-term runoff data which is always a problem in developing countries due to the involvement of huge cost of operation and maintenance of gauge discharge sites. Hydrological modelling provides a solution to this problem by developing relationship between different hydrological processes. In the past, several models have been propagated to model runoff using simple empirical relationships between rainfall and runoff to complex physical model using spatially distributed information and time series data of climatic variables. In the present study, an attempt has been made to compare two conceptual models including TANK and Australian water balance model (AWBM) and a physically distributed but lumped on HRUs scale SWAT model for Tandula basin of Chhattisgarh (India). The daily data of reservoirs levels, evaporation, seepage and releases were used in a water balance model to compute runoff from the catchment for the period of 24 years from 1991 to 2014. The rainfall runoff library (RRL) tool was used to set up TANK model and AWBM using auto and genetic algorithm, respectively, and SWAT model with SWATCUP application using sequential uncertainty fitting as optimization techniques. Several tests for goodness of fit have been applied to compare the performance of conceptual and semi-distributed physical models. The analysis suggested that TANK model of RRL performed most appropriately among all the models applied in the analysis; however, SWAT model having spatial and climatic data can be used for impact assessment of change due to climate and land use in the basin.

scholarly journals ANALISIS SISTEM DINAMIK NERACA AIR DI PULAU TIDORE

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Halima Malaka ◽  
M. Yanuar ◽  
J. Purwanto ◽  
Alinda Zein
Keyword(s):  
Water Balance ◽  
Ground Water ◽  
Water Use ◽  
Water Availability ◽  
Water Demand ◽  
Model Simulation ◽  
Balance Model ◽  
Balance System ◽  
Simulation Scenario ◽  
Availability Index

This research was conducted at Tidore Island, –Tidore City, North Maluku Archipelago Province. Objective of this study were  1) build a water balance model Tidore Island. This Method used in this research is method of survey with water balance analysis. Analysis of the data used is the analysis of dynamic system to determine the balance of the year 2009 - 2032 with software stella version 9.0.2. The result of analysis showed that in 2009 there were water balance 21,189,941.20 m3 / year and in 2032 there was a deficit of 427,678.61 m3 / year. Water availability index (IKA) in 2009 amounted to 1416.10 and in the year 2032 amounted to 82.54 IKA the value, it indicates that in 2032 the availability of groundwater only able to serve 82.54% the water demand. To improve the balance of water needed for water saving and conservation policies at each land use.Saving measures water use and conservation of groundwater done using three policy scenarios, the model simulation results indicate that both scenarios can increase the efficiency of water use and water balance in 2009 to 21,270,444.14 m3 / year with a value of 1490.63 and value IKA in 2032 can be water deficit of 31128.46 m3 / year. While the results of the simulation scenario 3 scenario between saving integrated water use and conservation can improve the water balance in 2009 amounted to 21,350,947.08 m3 / year and the value IKA 1573.44, and in 2032 the value decreased to 117.92 IKA shows the availability of ground water able to serve 117.92% of  water demand  people. Keywords: water balance,system dynamic, water demand, ground water availability

scholarly journals ESTIMATIVA DA DEMANDA HÍDRICA DA SOJA UTILIZANDO MODELO DE BALANÇO HÍDRICO DO SOLO E DADOS DA PREVISÃO DO TEMPO

Irriga ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 492-507
Author(s):  
Zanandra Boff Oliveira ◽  
ALBERTO EDUARDO KNIES ◽  
EDUARDO LEONEL BOTTEGA ◽  
Clarissa Moraes da Silva
Keyword(s):  
Water Balance ◽  
Soil Water ◽  
Water Demand ◽  
Reference Evapotranspiration ◽  
Weather Forecast ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Balance Model ◽  
Forecast Data ◽  
Santa Maria

ESTIMATIVA DA DEMANDA HÍDRICA DA SOJA UTILIZANDO MODELO DE BALANÇO HÍDRICO DO SOLO E DADOS DA PREVISÃO DO TEMPO     ZANANDRA BOFF DE OLIVEIRA1; ALBERTO EDUARDO KNIES2; EDUARDO LEONEL BOTTEGA1 E CLARISSA MORAES DA SILVA3   1 Universidade Federal de Santa Maria Campus Cachoeira do Sul, Curso de Engenharia Agrícola, Rodovia Taufik Germano, 3013, Passo D'Areia, CEP. 96503-205, Cachoeira do Sul/RS, Brasil, [email protected]; [email protected]. 2 Universidade Estadual do Rio grande do Sul, Unidade de Cachoeira o Sul, Rua Sete de Setembro, 1040, Centro, CEP. 96508-010, Cachoeira do Sul/RS, Brasil, [email protected]. 3 Programa de Pós-Graduação em Engenharia Agrícola (PPGEA), Centro de Ciências Rurais, 3° andar, sala 3325, Campus Universitário, CEP.9105-900, Santa Maria/RS, Brasil, [email protected]     1 RESUMO   A estimativa da demanda hídrica dos cultivos em tempo real e futuro pode contribuir para a maior eficiência do uso da água na agricultura irrigada. O presente estudo teve como objetivo estimar o requerimento hídrico da soja, utilizando o modelo de balanço hídrico CROPWAT com dados da previsão do tempo para o cálculo da evapotranspiração de referência (ETo). Para isso, o estudo foi conduzido em duas etapas: coleta de dados de solo, da previsão meteorológica e da cultura em três anos agrícolas: 2017/18, 2018/19 e 2019; modelagem das condições observadas a campo pelo modelo CROPWAT. A modelagem foi eficiente (d=0,99) para a estimativa da capacidade de água disponível no solo, apresentando baixo erro (RMSE = 2,18 mm) em comparação  aos valores medidos a campo, resultando na recomendação da lâmina de irrigação igual à aplicada na cultura, sendo esta de 132, 135 e 60 mm, respectivamente, para os anos agrícolas 2017/18, 2018/19 e 2019. A utilização do modelo de balanço hídrico do solo CROPWAT com dados da previsão do tempo para o cálculo da evapotranspiração de referência pode ser utilizada como ferramenta para a estimativa do requerimento hídrico da soja na região edafoclimática de Cachoeira do Sul-RS.   Keywords: simulação do balanço hídrico, manejo da irrigação, previsão meteorológica.     OLIVEIRA, Z.B.; KNIES, A.E.; BOTTEGA, E.L. SILVA, C.M. ESTIMATE OF SOY WATER DEMAND USING SOIL WATER BALANCE MODEL AND WEATHER FORECAST DATA     2 ABSTRACT   Estimating the water demand for crops in real and future time can contribute to greater efficiency in the use of water in irrigated agriculture. The present study aimed to estimate the water requirement of soy using the water balance model CROPWAT with data from the weather forecast for the calculation of reference evapotranspiration (ETo). For this, the study was conducted in two stages: collection of soil data, meteorological forecast and culture in three agricultural years: 2017/18, 2018/19 and 2019; modeling of the conditions observed in the field by the CROPWAT model. The modeling was efficient (d = 0.99) to estimate the available water capacity in the soil, presenting  low error (RMSE = 2.18 mm) compared to the values measured in the field, resulting in the recommendation of  irrigation depth equal to that applied to the crop, which is 132, 135 and 60 mm, respectively, for the agricultural years 2017/18, 2018/19 and 2019. The use of the CROPWAT soil water balance model with weather forecast data for the calculation of the Reference evapotranspiration can be used as a tool to estimate the water requirement of soybean in the edaphoclimatic region of Cachoeira do Sul-RS.   Keywords: simulação do balanço hídrico, manejo da irrigação, previsão meteorológica.

scholarly journals Irrigation and crop water requirement estimation for oil palms using soil moisture balance model in Peninsular Malaysia

2020 ◽  
Vol 1 (3) ◽  
pp. 1-8
Keyword(s):  
Soil Moisture ◽  
Oil Palm ◽  
Water Requirement ◽  
Balance Model ◽  
Rainfall Runoff ◽  
Crop Water ◽  
Hydrologic Models ◽  
Irrigation Demand ◽  
Moisture Balance ◽  
Soil Moisture Balance

This study presents the irrigation and crop water estimation in a Malaysian oil palm plantation for effective irrigation water management during water years 2013 and 2014. The study area was divided into four plots: 2000, 2002, 2006 and 2010, indicating years of peat swamp forest conversion to oil palm plantation. Hydrologic Engineering Centre-Hydrologic Modeling System (HEC-HMS) and Soil moisture balance hydrologic models were used to model the rainfall-runoff in the basin. Statistical analysis using coefficient of determination (R2) and Nash–Sutcliffe efficiency coefficient (NSE) were used to evaluate the performance and correlation of the two hydrologic models. The result showed that R2 and NSE were 0.94 and 0.90 respectively for calibration and 0.92 and 0.54 respectively, for monthly validation. This showed that the models performed well for simulation of the peatland hydrology. With the modelling of rainfall-runoff satisfied, the irrigation demand of the study plots was determined using the same soil moisture balance model. The irrigation demand ranged from 0.893 to 1.6 million cubic meters (MCM) in 2010 and 2000 study plots respectively. Irrigation demand is observed to be site specific which depends on the soil moisture deficit, readily available water in the oil palm root zone and oil palm rooting depth. Estimation of a future oil palm water requirement using the soil moisture balance model would be recommended for further studies for use as an advisory manual for the oil palm managers to enhance adequate water resources planning for oil palm productivity.

Sign in / Sign up

Export Citation Format

Share Document