Decision Support System for the Real-Time Operation and Management of an Agricultural Water Supply

Agricultural uses are responsible for approximately 48% of the total annual water use in South Korea. While approximately 70% of the annual rainfall is received during the summer season, most of the agricultural water is utilized from May to June. Therefore, irrigation facilities including reservoirs, canals and pumps were installed to efficiently manage agricultural water. Efficient operation of irrigation systems is important for sustainable irrigated agriculture, which is undermined due to the low water efficiency of the irrigation systems. Irrigation water management using web-based decision support systems is necessary to resolve water efficiency problems. In this study, automatic water gauges were installed at the main and secondary irrigation canals in the Dongjin River Basin, South Korea. The water levels in each canal were monitored and the irrigation water supply calculated. An irrigation model considering intermittent irrigation was developed to compare the estimated irrigation demands with the actual supplies for decision-making and demand strategies. Using this model and water-level data, a risk-based decision support system for the operation and management of agricultural water was developed and evaluated. Using this system. it is possible to optimally manage irrigation water and to make plans for efficient agricultural water operation and management. Copyright (c) 2015 John Wiley & Sons, Ltd. Resume Les usages agricoles representent environ 48% de la consommation annuelle totale d'eau en Coree du Sud. Alors que pres de 70% des precipitations annuelles sont recues pendant la saison estivale, la plupart des eaux agricoles sont utilisees a partir de mai-juin. Par consequent les systemes d'irrigation, reservoirs, canaux, pompes, etc. ont ete installes afin de gerer efficacement l'eau agricole. Le fonctionnement efficace d'un systeme d'irrigation est important pour l'agriculture irriguee durable. Un systeme d'aide a la decision base sur le Web peut resoudre le probleme de l'efficacite de l'eau. Dans cette etude, situee dans le bassin de la riviere Dongjin (Coree du Sud) nous avons installe des debitmetres automatiques dans les canaux principaux et secondaires. Cette surveillance a permis de calculer depuis 2012 les besoins quotidiens, hebdomadaires, mensuels et annuels en eau d'irrigation. Un modele d'irrigation considerant le caractere intermittent de l'irrigation a ete developpe pour affiner la prise de decision et la strategie et comparer les besoins d'irrigation estimes aux approvisionnements reels. Enfin, en utilisant ce modele et les mesures hydrometriques en temps reel, un systeme d'aide a la decision fondee sur les risques de l'exploitation et la gestion de l'approvisionnement en eau pour l'agriculture a ete mis au point et evalue. Les resultats de l'etude suggerent qu'il est possible de gerer au mieux l'eau d'irrigation et de faire un plan pour une gestion efficace de l'exploitation de l'eau agricole, en utilisant un systeme d'aide a la decision. Copyright (c) 2015 John Wiley & Sons, Ltd.