Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Palmer-type soil modelling for evapotranspiration in different climatic regions of Kenya

Bibliographic Data

ID21882884
AuthorsPeter K Musyimi (0000-0003-4165-8565, Eötvös Loránd University), Balázs Székely (0000-0002-6552-4329, Eötvös Loránd University), Arun Gandhi (Eötvös Loránd University), Tamás Weidinger (0000-0001-7500-6579, Eötvös Loránd University)
Year2022
Volume71
Issue4
Pages365-382
Publication date2022-12-21
Open AccessYes
TypeARTICLE
VenueHungarian Geographical Bulletin (JOURNAL)
Journal identifiersISSN: 2064-5031 • E-ISSN: 2064-5147
PublisherResearch Centre for Astronomy and Earth Sciences (PUBLISHER)
DOI10.15201/hungeobull.71.4.4
OpenAlexW4312045855
LanguageEN
References cited49

Reference evapotranspiration (ET0) and real evapotranspiration (ET) are vital components in hydrological processes and climate-related studies. Understanding their variability in estimation is equally crucial for micro-meteorology and agricultural planning processes. The primary goal of this study was to analyze and compare estimates of (ET0) and (ET) from two different climatic regions of Kenya using long-term quality controlled synoptic station datasets from 2000 to 2009 with 3-hour time resolution. One weather station (Voi, 63793) was sought from lowlands with an elevation of 579 m and characterized by tropical savannah climate while the other (Kitale, 63661) was sought from Kenya highlands with humid conditions and elevation of 1850 m above sea level. Reference evapotranspiration was calculated based on the FAO 56 standard methodology of a daily basis. One dimension Palmer-type soil model was used for estimating of real evapotranspiration using the wilting point, field capacity, and soil saturation point for each station at 1 m deep soil layer. The ratio of real and reference evapotranspiration dependent on the soil moisture stress linearly. Calculations of estimated evapotranspiration were made on daily and monthly basis. Applications of the site-specific crop coefficients (KC) were also used. The result indicated that the differences among daily and monthly scale calculations of evapotranspiration (ET) were small without and with an application of crop coefficients (ETKc). This was due to high temperatures, global radiation, and also high soil moisture stress due to inadequate precipitation experienced in the tropics where Kenya lies. Results from Voi showed that mean monthly ET0 ranged from 148.3±11.6 mm in November to 175.3±10.8 mm in March while ET was from 8.0±4.5 mm in September to 105.8±50.3 mm in January. From Kitale, ET0 ranged from 121.5±8.5 mm/month in June to 157.1±8.5 mm/month in March while ET ranged from 41.7±32.6 mm/month in March to 126.6±12.2 mm/month in September. This was due to variability in temperature and precipitation between the two climatic regions. The study concludes that ET0 and calculated evapotranspiration variability among the years on a monthly scale is slightly higher in arid and semi-arid climate regions than in humid regions. The study is important in strategizing viable means to enhance optimal crop water use and reduce ET losses estimates for optimal agricultural yields and production maximization in Kenya

Atmospheric sciences · Climate change · Climatology · Evapotranspiration · Field capacity · Geography · Meteorology · Permanent wilting point · Precipitation · Soil water · Water content · Weather station · Environmental Science · Hydrology and Watershed Management Studies · Plant Water Relations and Carbon Dynamics · Soil Moisture and Remote Sensing · Ecology · Geology · Soil Science

  • Present and future Köppen-Geiger climate classification maps at 1-km resolution

    Open Access•Hylke E Beck, Niklaus E Zimmermann et al.•Scientific Data•2018

  • Updated world map of the Köppen-Geiger climate classification

    Open Access•Murray Peel, M C Peel et al.•Hydrology and earth system sciences•2007

  • Natural evaporation from open water, bare soil and grass

    Open Access•Howard Latimer Penman•Proceedings of the Royal Society…•1948

  • Normality Tests for Statistical Analysis

    Open Access•Asghar Ghasemi, Saleh Zahediasl•International Journal of…•2012

  • Anomalies of precipitation and drought in objectively derived climate regions of Iran

    Open Access•Sohrab Ghaedi•Hungarian Geographical Bulletin•2021

  • Validating commonly used drought indicators in Kenya

    Open Access•Andrew Bowell, Edward E Salakpi et al.•Environmental Research Letters•2021

  • Climate change and variability in Kenya

    Open Access•Benjamin Kipkemboi Kogo, Lalit Kumar et al.•Environment Development and…•2021

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae