A new approach to water quality modelling and environmental decision support systems
Environmental Modelling & Software
Dynamic mapping of nature values to support prioritization of coastal oil combating
Environmental Modelling & Software
Model-based decision support system for water quality management under hybrid uncertainty
Expert Systems with Applications: An International Journal
Management information system (MIS) for planning and implementation assessment (PIA) in Lake Dianchi
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Using reservoir trophic-state indexes in optimisation modelling of water-resource systems
Environmental Modelling & Software
An integrated model for water management in a rapidly urbanizing catchment
Environmental Modelling & Software
Environmental Modelling & Software
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The widespread and relentless discharge of untreated wastewater into the Upper Litani Basin (ULB) river system in Lebanon has reached staggering levels rendering its water unfit for most uses especially during the drier times of the year. Despite the call by governmental and non-governmental agencies to develop several wastewater treatment plants and sewage networks in an effort to control this problem, these efforts do not seem to be coordinated or based on comprehensive and integrated assessments of current and projected conditions in the basin. This paper provides an overview of the development and implementation of an integrated decision support system (DSS) designed to help policy makers and other stakeholders have a clearer understanding of the key factors and processes involved in the sewage induced degradation of surface water quality in the ULB, and formulate, assess and evaluate alternative management plans. The DSS is developed based on the WEAP model, which provides a GIS based and visual simulation environment and scenario management and analysis capabilities. The DSS was used to assess two main water quality management plans taking into consideration hydrological, spatial and seasonal variabilities. An incremental cost-effectiveness analysis was conducted to identify best buy plans. The results have confirmed the gravity of this problem and demonstrated the importance of taking immediate action on curbing this onslaught on this valuable and scarce fresh water resource.