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An Attempt to Utilize a Regional Dew Formation Model in Kenya

Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of Helsinki, FI-00014 Helsinki, Finland
Department of Physical Geography, Faculty of Geographical Science and Planning, University of Isfahan, Isfahan 8174673441, Iran
Department of Agricultural Sciences, University of Helsinki, P.O. Box 28 Koetilantie 5, FI-00014 Helsinki, Finland
Department of Geosciences and Geography, University of Helsinki, P.O. Box 64 Gustaf Hällströmin Katu 2a, FI-00014 Helsinki, Finland
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430000, China
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Faculty of Geography, Lomonosov Moscow State University, 119991 Moscow, Russia
Faculty of Agriculture and Forestry, Institute for Atmospheric and Earth System Research (INAR/Forest), University of Helsinki, FI-00014 Helsinki, Finland
Yugra State University, 628012 Khanty-Mansiysk, Russia
School of Science, Department of Physics, University of Jordan, Amman 11942, Jordan
Author to whom correspondence should be addressed.
Academic Editor: Pietro E. Campana
Water 2021, 13(9), 1261;
Received: 11 April 2021 / Revised: 20 April 2021 / Accepted: 26 April 2021 / Published: 30 April 2021
(This article belongs to the Special Issue The Water-Energy-Food Nexus: Sustainable Development)
Model evaluation against experimental data is an important step towards accurate model predictions and simulations. Here, we evaluated an energy-balance model to predict dew formation occurrence and estimate its amount for East-African arid-climate conditions against 13 months of experimental dew harvesting data in Maktau, Kenya. The model was capable of predicting the dew formation occurrence effectively. However, it overestimated the harvestable dew amount by about a ratio of 1.7. As such, a factor of 0.6 was applied for a long-term period (1979–2018) to investigate the spatial and temporal variation of the dew formation in Kenya. The annual average of dew occurrence in Kenya was ~130 days with dew yield > 0.1 L/m2/day. The dew formation showed a seasonal cycle with the maximum yield in winter and minimum in summer. Three major dew formation zones were identified after cluster analysis: arid and semi-arid regions; mountain regions; and coastal regions. The average daily and yearly maximum dew yield were 0.05 and 18; 0.9 and 25; and 0.15 and 40 L/m2/day; respectively. A precise prediction of dew occurrence and dew yield is very challenging due to inherent limitations in numerical models and meteorological input parameters. View Full-Text
Keywords: dew yield; spatial and temporal; cluster analysis; dew formation zones; arid; semi-arid dew yield; spatial and temporal; cluster analysis; dew formation zones; arid; semi-arid
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MDPI and ACS Style

Atashi, N.; Tuure, J.; Alakukku, L.; Rahimi, D.; Pellikka, P.; Zaidan, M.A.; Vuollekoski, H.; Räsänen, M.; Kulmala, M.; Vesala, T.; Hussein, T. An Attempt to Utilize a Regional Dew Formation Model in Kenya. Water 2021, 13, 1261.

AMA Style

Atashi N, Tuure J, Alakukku L, Rahimi D, Pellikka P, Zaidan MA, Vuollekoski H, Räsänen M, Kulmala M, Vesala T, Hussein T. An Attempt to Utilize a Regional Dew Formation Model in Kenya. Water. 2021; 13(9):1261.

Chicago/Turabian Style

Atashi, Nahid, Juuso Tuure, Laura Alakukku, Dariush Rahimi, Petri Pellikka, Martha A. Zaidan, Henri Vuollekoski, Matti Räsänen, Markku Kulmala, Timo Vesala, and Tareq Hussein. 2021. "An Attempt to Utilize a Regional Dew Formation Model in Kenya" Water 13, no. 9: 1261.

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