IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water resources and hydroinformatics : An optimization scheme of cropping pattern under the variation of water and climate condition
An optimization scheme of cropping pattern under the variation of water and climate condition
Author : HORI, TOMOHARU(1), K. OKAMOTO(2), M. YOSHIHIRO & D.NOHARA(43)
ABSTRACT
Food production is one of the key issues to build a sustainable world and water availability plays a crucial role for stable
agricultural activities. Because not only the water availability but the various factors such as temperature and radiation
affect the crop growth, it is necessary to analyze the total process of growing and yield for designing the agricultural
production management. As for water availability, it is indispensable to incorporate the sensitivity of the crop to water
stress according to the growth stages because the responses of the crop to too wet and too dry conditions differ in stages
of growth such as before and after budbreake, around anthesis and so on. In order to analyze and make the better
process for agricultural production, an optimal management model of agricultural crop production is proposed in this study.
The model employs a numerical crop growth simulation module based on AquaCrop developed by FAO and optimization
scheme for the combination of crop species to be planted. The crop model is calibrated for soy beans, wheat, potato and
sugar beet in Shibetsu, Hokkaido Island in Japan and computes the biomass at daily basis based on growing degree day
index and transpiration. The optimization module searches the best combination of the crops to maximize the total crop
yield or to minimize the yield deficit with penalty coefficient. The solution search is done in heuristic way by using genetic
algorithm.document contains a detailed guideline for the camera-ready format full paper of the IAHR 2015 congress
File Size : 554,251 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water resources and hydroinformatics
Date Published : 18/08/2015
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