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into robust representations of SWPs and BRSs in coupled hydrology-biogeochemistry models to analyze the responses of urban GHG emissions and nutrients export to the implementation and management of green SWM
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resilient landscapes, monitoring physical and chemical soil characteristics and erosive processes, hydrological modeling of ecosystems, forestry techniques for risk prevention and landscape recovery, and
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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