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systems (BRSs) that control GHG exchanges. The resulting knowledge will be integrated into robust representations of SWPs and BRSs in coupled hydrology-biogeochemistry models to analyze the responses
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. The resulting knowledge will be integrated into robust representations of SWPs and BRSs in coupled hydrology-biogeochemistry models to analyze the responses of urban GHG emissions and nutrients export
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hydrological data. The results of this research have real-world applications in groundwater and surface water modelling. In this research Masters project, the latest AI and KR (knowledge representation) concepts
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cultural values are recognised and maintained in urban water management practises. Therefore, socio-hydrological models are extremely important to capture the dynamic interaction between people and water