Estimation of daily global solar radiation based on different whitening applications using temperature in Mediterranean type greenhouses

Authors

DOI:

https://doi.org/10.36253/ijam-2144

Keywords:

calcium carbonate suspension, extraterrestrial radiation, modelling, short wave radiation, shadow powder

Abstract

The study aimed to estimate the daily global solar radiation (Rs) in Mediterranean-type greenhouses. Five different temperature-based Rs estimation models developed for open-field conditions were calibrated and validated in Mediterranean-type greenhouses in Almeria, Spain and Antalya, Türkiye, between August 26, 2013, and January 1, 2023, and between October 1, 2018, and 1 January 2023, respectively. Whitening applications were categorized according to greenhouse light transmissivity and classified as follows: without whitening or light-whitening, medium-whitening, and severe-whitening. Additionally, the best-performing model were compared with greenhouse plastic light transmissivity method. The estimation performance of the models was evaluated using the statistical indicators of the p-value of the slope, determination coefficient (R2), Nash–Sutcliffe model efficiency coefficient (NSE), root mean square error (RMSE), mean absolute error (MAE), relative error (RE), and Willmott Index (d). Compared with the other models, the Bristow and Campbell model showed a slightly higher performance in all whitening applications. Although the light transmissivity coefficient method performed slightly better than the temperature-based Rs estimation model, there was no statistical difference in the performances of the estimation models. Temperature-based estimation models offer a highly viable alternative for individuals who rely on the light transmittance approach to estimate Rs in greenhouses. This method can prove particularly useful in areas where measuring Rs outside the greenhouse is not possible or where partial time measurements cannot be taken owing to equipment malfunctions. All calibrated models can be used to estimate solar radiation using temperature data from various Mediterranean countries with similar climates and greenhouse cultivation.

References

Allen R.G., Pereira L.S., Raes D., Smith M., 1998. Crop evapotranspiration: Guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper 56. FAO, Roma.

Annandale J., Jovanovic N., Benadé N., Allen R., 2002. Software for missing data error analysis of Penman-Monteith reference evapotranspiration. Irrigation Science, 21: 57–67. https://doi.org/10.1007/s002710100047

Atalay I., Efe R., Öztürk M., 2014. Effects of topography and climate on the ecology of Taurus Mountains in the Mediterranean region of Turkey. Procedia - Social and Behavioral Sciences, 120: 142–156. https://doi.org/10.1016/j.sbspro.2014.02.091

Baudoin W., Nono-Womdim R., Lutaladio N., Hodder A., Castilla N., Leonardi C., Pascale S. De, Qaryouti M., 2013. Good Agricultural Practices for greenhouse vegetable crops - Principles for Meditterranean climate areas, Food and Agriculture Organization of the United Nations. Rome, Italy.

Baytorun A.N., Zaimoglu Z., 2018. Climate control in mediterranean greenhouses, in: Rao, C.S., Shanker, A.K., Shanker, C. (Eds.), Climate Resilient Agriculture - Strategies and Perspectives. Intechopen, London, pp. 167–181.

Bergamaschi H., Dalmago G.A., Bergonci J.I., Krüger C.A.M.B., Heckler B.M.M., Comiran F., 2010. Intercepted solar radiation by maize crops subjected to different tillage systems and water availability levels. Pesquisa Agropecuaria Brasileira, 45: 1331–1341. https://doi.org/10.1590/s0100-204x2010001200001

Bristow K.L., Campbell G.S., 1984. On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and Forest Meteorology, 31: 159–166. https://doi.org/10.1016/0168-1923(84)90017-0

Büyüktaş K., Tezcan A., Karaca C., Gümüş Z., Çalışkan R., 2019. Determination of the intensity of hail damage of the polyethylene greenhouse covers in the mediterranean region by thermal camera. Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi, 24: 135–141.

Cabrera F.J., Baille A., López J.C., González-Real M.M., Pérez-Parra J., 2009. Effects of cover diffusive properties on the components of greenhouse solar radiation. Biosystems Engineering, 2009: 3. https://doi.org/10.1016/j.biosystemseng.2009.03.008

Chen J., Ma Y., Pang Z., 2020. A mathematical model of global solar radiation to select the optimal shape and orientation of the greenhouses in southern China. Solar Energy, 205: 380–389. https://doi.org/10.1016/j.solener.2020.05.055

Chen R., Ersi K., Yang J., Lu S., Zhao W., 2004. Validation of five global radiation models with measured daily data in China. Energy Conversion and Management, 45: 1759–1769. https://doi.org/10.1016/j.enconman.2003.09.019

Colantoni A., Monarca D., Marucci A., Cecchini M., Zambon I., Di Battista F., Maccario D., Saporito M.G., Beruto M., 2018. Solar radiation distribution inside a greenhouse prototypal with photovoltaic mobile plant and effects on flower growth. Sustainability, 10: 1–17. https://doi.org/10.3390/su10030855

Dai A., Trenberth K.E., Karl T.R., 1999. Effects of clouds, soil moisture, precipitation, and water vapor on diurnal temperature range. Journal of Climate, 12: 2451–2473. https://doi.org/10.1175/1520-0442(1999)012<2451:eocsmp>2.0.co;2

de los Ángeles Moreno-Teruel M., Valera D., Molina-Aiz F.D., López-Martínez A., Peña A., Marín P., Reyes-Rosas A., 2020. Effects of cover whitening concentrations on the microclimate and on the development and yield of Tomato (Lycopersicon esculentum Mill.) inside mediterranean greenhouses. Agronomy, 10: 237. https://doi.org/10.3390/agronomy10020237

Díaz-Torres J.J., Hernández-Mena L., Murillo-Tovar M.A., León-Becerril E., López-López A., Suárez-Plascencia C., Aviña-Rodriguez E., Barradas-Gimate A., Ojeda-Castillo V., 2017. Assessment of the modulation effect of rainfall on solar radiation availability at the Earth’s surface. Meteorological Applications, 24: 180–190. https://doi.org/10.1002/met.1616

Donatelli M., Campbell G., 1998. A simple model to estimate global solar radiation, in: The 5th European Society of Agronomy Congress. Nitra, Slovak Republic, pp. 133–144.

Fernández M.D., Bonachela S., Orgaz F., Thompson R., López J.C., Granados M.R., Gallardo M., Fereres E., 2010. Measurement and estimation of plastic greenhouse reference evapotranspiration in a Mediterranean climate. Irrigation Science, 28: 497–509. https://doi.org/10.1007/s00271-010-0210-z

Francesconi A.H.D., Lakso A.N., Denning S.S., 1997. Light and temperature effects on whole-canopy net carbon dioxide exchange rates of apple trees. Acta Horticulturae, 451: 287–294. https://doi.org/10.17660/ActaHortic.1997.451.33

Frot E., van Wesemael B., Vandenschrick G., Souchez R., Benet A.S., 2002. Characterising rainfall regimes in relation to recharge of the Sierra de Gador-Campo de dalias aquifer system (S-E Spain). BELGEO, 2: 1–15. https://doi.org/10.4000/belgeo.16055

Gallardo M., Fernández M.D., Giménez C., Padilla F.M., Thompson R.B., 2016. Revised VegSyst model to calculate dry matter production, critical N uptake and ETc of several vegetable species grown in Mediterranean greenhouses. Agricultural Systems, 146: 30–43.

Gallardo M., Thompson R.B., Giménez C., Padilla F.M., Stöckle C.O., 2014. Prototype decision support system based on the VegSyst simulation model to calculate crop N and water requirements for tomato under plastic cover. Irrigation Science, 32: 237–253. https://doi.org/10.1007/s00271-014-0427-3

Gauthier M., Pellet D., Monney C., Herrera J.M., Rougier M., Baux A., 2017. Fatty acids composition of oilseed rape genotypes as affected by solar radiation and temperature. Field Crops Research, 212: 165–174. https://doi.org/10.1016/j.fcr.2017.07.013

Goodin D.G., Hutchinson J.M.S., Vanderlip R.L., Knapp M.C., 1999. Estimating solar irradiance for crop modeling using daily air temperature data. Agronomy Journal, 91: 845–851. https://doi.org/10.2134/agronj1999.915845

Grillone G., Agnese C., D’Asaro F., 2012. Estimation of daily solar radiation from measured air temperature extremes in the mid-Mediterranean area. Journal of Irrigation and Drainage Engineering, 138: 939–947. https://doi.org/10.1061/(asce)ir.1943-4774.0000480

Hargreaves G.H., 1981. Responding to tropical climates, the food and climate review, in: The 1980-81 Food and Climate Review. Boulder, USA, pp. 29–32.

Hargreaves G.H., Samani Z.A., 1985. Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1: 96–99. https://doi.org/10.13031/2013.26773

Hargreaves G.H., Samani Z.A., 1982. Estimating potential evapotranspiration. Journal of the Irrigation & Drainage Division - ASCE, 108: 225–230. https://doi.org/10.1061/taceat.0008673

Hickman G.W., 2020. International Greenhouse Vegetable Production - Statistics. Cuesta Roble Greenhouse Vegetable Consulting. Mariposa.

Hunt L.A., Kuchar L., Swanton C.J., 1998. Estimation of solar radiation for use in crop modelling. Agricultural and Forest Meteorology, 91: 293–300. https://doi.org/https://doi.org/10.1016/S0168-1923(98)00055-0

Jimenez S., Plaza B.M., Perez M., Lao M.T., 2010. Impact of whitewash coated polyethylene film cover on the greenhouse environment. Indian Journal of Agricultural Research, 44: 131–135.

López-Martínez A., Valera-Martínez D.L., Molina-Aiz F.D., Moreno-Teruel M. de los Á., Peña-Fernández A., Espinoza-Ramos K.E., 2019. Analysis of the effect of concentrations of four whitening products in cover transmissivity of mediterranean greenhouses. International Journal of Environmental Research and Public Health, 16: 958. https://doi.org/10.3390/ijerph16060958

Marini R.P., Sowers D.L., 2019. Net photosynthesis, specific leaf weight, and flowering of peach as influenced by shade. HortScience, 25: 331–334. https://doi.org/10.21273/hortsci.25.3.331

Matuszko D., 2012. Influence of cloudiness on sunshine duration. International Journal of Climatology, 32: 1537–1536. https://doi.org/10.1002/joc.2370

Mielke M.S., Schaffer B., Li C., 2010. Use of a SPAD meter to estimate chlorophyll content in Eugenia uniflora L. leaves as affected by contrasting light environments and soil flooding. Photosynthetica, 48: 332–338. https://doi.org/10.1007/s11099-010-0043-2

Muñoz G., Grieser J., 2006. CLIMWAT, CLIMWAT 2.0 for CROPWAT. Water Resources, Development and Management Service and the Environment and Natural Resources Service of the Food and Agriculture Organization of the UN, Rome, Italy.

Nieuwenhuizen W.N., 1983. The effects of solar radiation and nutrient solution temperature on the uptake of oxygen by submerged roots of mature tomato plants. Plant and Soil, 70: 353–366. https://doi.org/10.1007/BF02374892

Orgaz F., Fereres E., López J.C., Céspedes A., Pérez J., Bonachela S., Gallardo M., 2001. Programación del riego de cultivos hortícolas bajo invernadero en el sudeste español, Cajamar. ed. Almeria.

Palencia P., Martínez F., Medina J.J., López-Medina J., 2013. Strawberry yield efficiency and its correlation with temperature and solar radiation. Horticultura Brasileira, 31: 93–99. https://doi.org/10.1590/s0102-05362013000100015

Pardossi A., Tognoni F., Incrocci L., 2004. Mediterranean Greenhouse Technology. Chronica Horticulturae, 28–34.

Pyrgou A., Santamouris M., Livada I., 2019. Spatiotemporal analysis of diurnal temperature range: Effect of urbanization, cloud cover, solar radiation, and precipitation. Climate, 7: 89. https://doi.org/10.3390/cli7070089

Stanghellini C., Heuvelink E., 2007. Coltura e clima: Effetto microclimatico dell’ambiente serra. Italus Hortus, 14: 37–49.

Tantau H.J., Hinken J., Von Elsner B., Hofmann T., Max J.F.J., Ulbrich A., Schurr U., Reisinger G., 2012. Solar transmittance of greenhouse covering materials. Acta Horticulturae, 956: 441–448. https://doi.org/10.17660/ActaHortic.2012.956.51

Tuononen M., O’Connor E.J., Sinclair V.A., 2019. Evaluating solar radiation forecast uncertainty. Atmospheric Chemistry and Physics, 19: 1985–2000. https://doi.org/10.5194/acp-19-1985-2019

Valdés-Gómez H., Ortega-Farías S., Argote M., 2009. Evaluation of the water requirements for a greenhouse tomato Crop using the Priestley-Taylor method. Chilean Journal of Agricultural Research, 69: 3–11.

Woli P., Paz J.O., 2012. Evaluation of various methods for estimating global solar radiation in the southeastern United States. Journal of Applied Meteorology and Climatology, 51: 972–985. https://doi.org/10.1175/JAMC-D-11-0141.1

Yıldırım H.B., Çelik Ö., Teke A., Barutçu B., 2018. Estimating daily global solar radiation with graphical user interface in Eastern Mediterranean region of Turkey. Renewable and Sustainable Energy Reviews, 82: 1528–1537. https://doi.org/10.1016/j.rser.2017.06.030

Zhang D., Zhang T., Ji J., Sun Z., Wang Y., Sun Y., Li Q., 2020. Estimation of solar radiation for tomato water requirement calculation in chinese‐style solar greenhouses based on least mean squares filter. Sensors (Switzerland), 20: 155. https://doi.org/10.3390/s20010155

Zhang X., Zhang M., Cui Y., He Y., 2022. Estimation of daily ground-received global solar radiation using air pollutant data. Frontiers in Public Health, 10: 1–13. https://doi.org/10.3389/fpubh.2022.860107

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Published

2023-08-03

How to Cite

Karaca, C. (2023). Estimation of daily global solar radiation based on different whitening applications using temperature in Mediterranean type greenhouses. Italian Journal of Agrometeorology, (1), 79–93. https://doi.org/10.36253/ijam-2144

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No. 1 (2023)

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RESEARCH ARTICLES

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