Spatiotemporal Estimation of Reference Evapotranspiration for Agricultural Applications in Punjab, Pakistan
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Published:2023-07-12
Issue:7
Volume:13
Page:1388
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ISSN:2077-0472
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Container-title:Agriculture
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language:en
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Short-container-title:Agriculture
Author:
Ashraf Hadeed1ORCID, Qamar Saliha2, Riaz Nadia1, Shamshiri Redmond R.3ORCID, Sultan Muhammad1ORCID, Khalid Bareerah4ORCID, Ibrahim Sobhy M.5ORCID, Imran Muhammad6ORCID, Khan Muhammad Usman7
Affiliation:
1. Department of Agricultural Engineering, Bahauddin Zakariya University, Multan 60800, Pakistan 2. Department of Energy Systems Engineering, Faculty of Agricultural Engineering and Technology, PMAS Arid Agricultural University, Rawalpindi 46000, Pakistan 3. Department of Engineering for Crop Production, Leibniz Institute for Agricultural Engineering and Bioeconomy, 14469 Potsdam, Germany 4. Agricultural Systems and Engineering, Department of Food, Agriculture and Bioresources, School of Environment, Resources and Development, Asian Institute of Technology, Klong Luang, Pathum Thani 12120, Thailand 5. Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia 6. Department of Mechanical, Biomedical and Design Engineering, College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK 7. Department of Energy Systems Engineering, Faculty of Agricultural Engineering and Technology, University of Agriculture, Faisalabad 38040, Pakistan
Abstract
Estimation of reference evapotranspiration (ETo) is a key element in water resources management and crop water requirement which, in turn, affects irrigation scheduling. ETo is subject to the influence of various climatic parameters including minimum temperature (Tmin), maximum temperature (Tmax), relative humidity (RH), windspeed (WS), and sunshine hours (SH). Usually, the influence of the climatic parameters and a dominating climatic factor influencing ETo is estimated on yearly basis. However, in diverse climatic regions, ETo varies with the varying climate. Therefore, this study aims to estimate the spatiotemporal variation in the influence of the climatic parameters on ETo in Punjab, Pakistan, for the period 1950–2021, specifically focusing on decennial, annual, and monthly patterns. The study area was divided into five agroclimatic zones. The Penman–Monteith model was used to estimate ETo. The influence was assessed using geographic weighted regression (GWR) and multiscale geographic weighted regression (MGWR) as the primary methods. As per results from MGWR, ETo in Punjab was highly influenced by the Tmin, Tmax, and WS. Additionally, annual ETo exhibited a higher value in southern Punjab in comparison to northern Punjab, with a range of 2975 mm/year in the cotton–wheat zone to 1596 mm/year in the rain-fed zone. Over the course of the past seventy years, Punjab experienced an average increasing slope of 5.18 mm/year in ETo. Tmin was the highest monthly dominant factor throughout the year, whereas WS and SH were recorded to be the dominant factor in the winters, specifically. All in all, accurate estimation of ETo, which serves as an essential component for crop water requirement, could potentially help improve the irrigation scheduling of crops in the agroclimatic zones.
Subject
Plant Science,Agronomy and Crop Science,Food Science
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