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Elakanda S.,Ministry of Irrigation and Water Resources Management | Nanseer M.,SRI International | Milton D.,SRI International | Yamagata K.,DHI | Deen A.,SMEC Australia
Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings | Year: 2014

Sri Lanka has a history of over two thousand years of dam construction and irrigation development with a complex network of canals and storages servicing the dry zone of the country. The Government of Sri Lanka (GoSL) has been progressing with a massive program of infrastructure development to enable these dry zone systems to provide reliable irrigation water supplies for cropping twice a year by large scale inter?basin transfers in addition to maximising hydropower generation, ensuring safe and adequate drinking water supplies and maintaining environmental values. SMEC was engaged to assist GoSL with planning and modelling of the existing and proposed future systems. The primary source of the water is the Mahaweli Ganga which is the island's largest river system. The overall water resource system planning model was constructed on the MIKE Basin platform using ArcGIS as the geographical framework. It included over thirty major reservoirs, covered over half the entire country and involved regulation of water of about 7,500 GL. Detailed system operational data, including irrigation water deliveries, reservoir water level, rainfall and river flow information was used to calibrate and verify the system model. Separately a substantial knowledgebase involving food production, detailed economic analysis, pricing, power generation, employment creation, re?settlement and social equity considerations was also developed. The water resources model was then coupled to the knowledge base through a decision support system to enable the rapid assessment of development options and their related impacts economically and socially in addition to overall costs. This paper describes the innovative approaches used in first developing the model and then calibrating and verifying it in a data poor region. The paper then progresses to the application of this sophisticated instrument to option development through the decision support system and multi criteria analysis.

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