Evaluation of Evapotranspiration Estimation Models for Junagadh City of Gujarat

Mashru, H. H.; Dwivedi, D.

doi:10.12944/cwe.11.2.34

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Two key factors influencing crop evapotranspiration (ETc) are the crop coefficient (Kc) and reference evapotranspiration (ET0) (Bafdal et al, 2017). Various methods, including Blaney Criddle, FAO 56 Penman-Monteith, Samani, Hargreaves, Makkink, and Jensen-Haise, are employed to estimate evapotranspiration (Mashru & Dwivedi, 2016) with the Penman-Monteith method recognized as consistently accurate across diverse climates (Allen et al, 1998;Irmak et al, 2003;Jensen et al, 1990).…”

Section: Introductionmentioning

confidence: 99%

Exploring Temperature Trends and Evapotranspiration Modelling for Effective Water Management: A Comprehensive Analysis Using Mann-Kendall Test and Seasonal ARIMA Model

Dwivedi,

Pandya,

Joshi

et al. 2024

Preprint

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The variations in temperature have a profound impact on the irrigation requirement during various stages of the crops. This study aimed to analyse the temperature trends using the Mann Kendall test and also modelled various meteorological parameters by Seasonal Autoregressive Moving Average (SARIMA) model, influencing evapotranspiration (ET). The model was validated for water requirement of wheat crop in Junagadh region of Gujarat during 2023 and 2024. February, March, and April consistently exhibited a highly significant positive trend with Mann Kendall test statistic of 3.325. 2.852 and 3.131 respectively whereas July, August, and November showed no distinct trend in minimum temperatures. A conspicuously significant trend in maximum temperature was not discerned throughout any of the months. SARIMA models (2,0,0)(2,1,1)12, (1,0,0)(0,1,1)12, (1,0,1)(0,1,1)12, (1,0,0)(0,1,1)12, and (2,0,2)(0,1,1)12 were selected from a range of candidate models based on their AIC values and performance on test data for meteorological parameters including minimum temperature, maximum temperature, relative humidity, wind speed, and bright sunshine, respectively. The study estimated the climatic parameters using Penmen Monteith method, allowing us to predict reference evapotranspiration for 2023 and 2024. For the year 2024, the highest ET0 of 188.7 mm was estimated in April followed by ET0 of 186.6 mm in May 2024. The reference evapotranspiration predicted by the models were utilized to calculate the water requirement of wheat in the study area, resulting in an estimated value of 371 mm. These findings are useful for agricultural policymakers for making decisions pertaining to agricultural water management for optimal crop growth.

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Section: Introductionmentioning

confidence: 99%

Exploring Temperature Trends and Evapotranspiration Modelling for Effective Water Management: A Comprehensive Analysis Using Mann-Kendall Test and Seasonal ARIMA Model

Dwivedi,

Pandya,

Joshi

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Such estimates are of immense importance for calculation of water demand of the field crops and irrigation scheduling (Rasul, 1992). It also determines the nature of agro-climate a region has, agroclimatic potential of that region and suitability of crops or varieties, which can be grown successfully with the best economic returns (Mashru & Dwived, 2016).…”

Section: Introductionmentioning

confidence: 99%

Estimation of evapotranspiration for basilicata region with a pennman-monteith method

Khanjanzadeh¹,

Mondino²,

Morteza³

2017

JEBAS

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Estimation of reference evapotranspiration rate is a very significant parameter in agriculture science. It indicates the water consumption of the plant. So, it plays an important role in irrigation scheduling as well as plant growth modeling. In most cases, reference evapotranspiration has been computed by the Penman-Monteith equation (PM) as recommended by the FAO and applied over different climates over the globe. Information on ETc and crop coefficients (Kc) is useful for normal irrigation planning and management purposes, for the development of basic irrigation schedules, and for most hydrologic water balance studies. Therefore, according to the importance of ETc for agriculture planning and management purposes, this study was conducted in order to estimate the rate of evapotranspiration with a PennmanMonteith method for Basilicata region. The results of this experiment showed that, ETc calculated with Penman equation for arable land was 3.90 (mm/d) while it was reported 2.95 (mm/d) for Vineyard area and 3.07 (mm/d) for Pasture polfit. Result of study revealed that sample areas which were close to the lake Pertusillo, rates of ET on average higher than other areas.

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Rainfall induced Geohydraulic and Evapotranspiration Characteristics: An Indian Case Study

Goswami

Basack

Zaman

et al. 2022

Wseas Transactions on Environment and Development

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Evaporation demand or potential evaporation is projected to increase almost everywhere in the world in future climate scenarios. Estimation of evapotranspiration (ET) is important for determining the agro-climatic potential of a particular region, water requirements of field crops, irrigation scheduling, and suitability of crops or varieties, which can be grown successfully with the best economic returns therefore numerous models have been developed for determining evapotranspiration. The present study was taken for Jorhat, Assam with the main objective of the present study is to highlight the governing equations for infiltration and compare three temperature-based methods for determining reference evapotranspiration namely Thornthwaite, Blaney-Criddle, and Ivanov method. The results obtained from the methods were compared with the evapotranspiration data measured using the class A pan. The interrelationship between the class A pan data and the other reference evapotranspiration method is also determined in the study. Moreover, the result obtained shows that the average monthly ET estimated by Blaney-Criddle, Thornthwaite, and Ivanov methods are 1.57, 3.05, and 2.62 mm/month. The correlation coefficient result shows that all the three methods compared well with the observed pan evaporation. the results of this investigation suggest that the Blaney-Criddle is the better method as compared to the Thornthwaite and Ivanov methods under climatic conditions of Jorhat. Furthermore, the engineering properties of soil collected from the study area were determined and presented in this study.

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Evaluation of Evapotranspiration Estimation Models for Junagadh City of Gujarat

Cited by 3 publications

References 10 publications

Exploring Temperature Trends and Evapotranspiration Modelling for Effective Water Management: A Comprehensive Analysis Using Mann-Kendall Test and Seasonal ARIMA Model

Exploring Temperature Trends and Evapotranspiration Modelling for Effective Water Management: A Comprehensive Analysis Using Mann-Kendall Test and Seasonal ARIMA Model

Estimation of evapotranspiration for basilicata region with a pennman-monteith method

Rainfall induced Geohydraulic and Evapotranspiration Characteristics: An Indian Case Study

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