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Assessment of Climate Change Impact on Water Requirement and Rice Productivity

Rice science 2023年第4期30卷 276-293页

作者： Konan Jean-Yves N’GUESSAN botou adahi Arthur-Brice KONAN-WAIDHET Satoh MASAYOSHI Nogbou Emmanuel ASSIDJO Environmental Training and Research Unit Laboratory of Environmental Sciences and TechnologiesUniversitéJean Lorougnon GuédéBP 150 DaloaCôte d’Ivoire Department of Training and Research of Rural Engineering and Geographic Sciences Institut National Polytechnique FÉLIX HOUPHOUËT-BOIGNYBP 1093 YamoussoukroCôte d’Ivoire University of Tsukuba Ibaraki 305-8577Japan Department of Training and Research of Chemical and Food Engineering Laboratory of ModellingInformation and ProcessesInstitut National Polytechnique FÉLIX HOUPHOUËT-BOIGNYBP 1093 YamoussoukroCôte d’Ivoire

Assessing the impact of climate change(CC)on agricultural production systems is mainly done using crop models associated with climate model *** review is one of the few,with the main objective of providing a recent compendium of CC impact studies on irrigation needs and rice yields for a better understanding and use of climate and crop *** discuss the strengths and weaknesses of climate impact studies on agricultural production systems,with a particular focus on uncertainty and sensitivity analyses of crop *** the new generation global climate models(GCMs)are more robust than previous ones,there is still a need to consider the effect of climate uncertainty on estimates when using *** GCMs cannot directly simulate the agro-climatic variables of interest for future irrigation assessment,hence the use of intelligent climate ***,sensitivity and uncertainty analyses must be applied to crop models,especially for their calibration under different *** impacts of CC on irrigation needs and rice yields vary across regions,seasons,varieties and crop ***,integrated assessments,the use of remote sensing data,climate smart tools,CO_(2)enrichment experiments,consideration of changing crop management practices and multi-scale crop modeling,seem to be the approaches to be pursued for future climate impact assessments for agricultural systems。

关键词： climate change rice production irrigation crop model climate model

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Estimation of the Actual Evapotranspiration by the SEBAL Method in the Irrigated Rice Perimeter of Zatta (Yamoussoukro—Côte d’Ivoire)

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Journal of Water Resource and Protection 2023年第10期15卷 539-556页

作者： Junias Léandre Kra Moïse botou adahi Brice Arthur Konan-Waidhet Jean-Yves Konan N’Guessan Joël Doyéré Koné Emmanuel Nogbou Assidjo Department of Geosciences and Environment Université Jean Lorougnon Guédé (UJLoG) Daloa C&ocircte d’Ivoire Department of Rural Engineering and Geographical Sciences Institut National Polytechnique Félix Houphou&eumlt-Boigny (INP-HB) Yamoussoukro C&ocircte d’Ivoire Department of Chemical and Food Engineering Institut National Polytechnique Félix Houphou&eumlt-Boigny (INP-HB) Yamoussoukro C&ocircte d’Ivoire

In this study, the SEBAL (Surface Energy Balance Algorithm for Land) model was used to map the spatio-temporal distribution of actual evapotranspiration in the Yamoussoukro department (Côte d’Ivoire). Like other regions of the country, the Yamoussoukro district is confronted with the phenomenon of evapotranspiration (ET). This is a very important component that comes into play in the water balance but also in the calculation of the water needs of agricultural crops. Consequently, its estimation is of paramount importance in research related to the rational management of water resources, particularly agricultural water. The objective of this study was to analyze the spatio-temporal distribution of actual evapotranspiration (AET) as a function of land cover and land use. The methodology used is based on the SEBAL model which uses remote sensing (Landsat 8_OLI/TIRS) and climatic data to estimate actual evapotranspiration and analyze the spatio-temporal distribution of AET. The results reveal that the AET varied from 0 to 5.44 mm/day over the period from December 2019 to February 2020 with an average value of 4.92 mm/day. The highest average values occurred for water bodies (4.90 mm/day) and flooded vegetation (4.88 mm/day) while the lowest values occurred in residential areas (2.04 mm/day). Furthermore, the results show that the difference between the SEBAL model and the FAO-Penman-Monteith method is minimal with an average RMSE of 0.36 mm/day for all the satellite images. This study demonstrates the considerable potential of remote sensing for the characterization and estimation of spatial evapotranspiration in the Zatta irrigated rice-growing area.

关键词： Evapotranspiration Water Balance Rational Management Remote Sensing SEBAL Model

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