Search for dissertations about: "integrated water resources management"

Showing result 1 - 5 of 48 swedish dissertations containing the words integrated water resources management.

  1. 1. Integrated and Probabilistic Risk Analysis of Drinking Water Systems

    Author : Andreas Lindhe; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; water safety plan; customer minutes lost; probabilistic; fault tree analysis; risk analysis; risk; integrated; drinking water system; hazard; uncertainty;

    Abstract : Drinking water supply is an essential public function but is at the same time exposed to risks. Since a totally risk-free society is not attainable, risks need to be managed efficiently to achieve an acceptable level of risk. READ MORE

  2. 2. Wastewater and stormwater from the wood-floor industry : towards an integrated water management

    Author : Fabio Kaczala; Linnéuniversitetet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Naturresurshushållning; Natural Resources Management;

    Abstract : .... READ MORE

  3. 3. Resource recovery from wastewater treatment: challenges, opportunities and guidance for planning and implementation

    Author : Mariana Cardoso Chrispim; Miklas Scholz; Marcelo Antunes Nolasco; Jennifer R. McConville; Avdelningen för Teknisk vattenresurslära; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Circular economy; Resource recovery; Sewage; Planning; Water; Nutrient; Biogas; Developing countries; Urban areas;

    Abstract : Considering the current resources scarcity, Wastewater Treatment Plants (WWTP) should be adapted to become more sustainable. For example, it is possible to recover resources present in municipal wastewater. READ MORE

  4. 4. METHODS FOR TRANSBOUNDARY WATER RESOURCES MANAGEMENT IN WATER STRESSED REGIONS – CASE STUDY: SOUTHERN AFRICA

    Author : Dinis Juizo; Avdelningen för Teknisk vattenresurslära; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; river basin simulation; water quality monitoring; stakeholders involvement; Southern Africa; South Africa; Mozambique; transboundary water systems; Swaziland;

    Abstract : Water resources management in water scarce regions like the Southern Africa Development Community (SADC) is challenging with both large hydro-climatic-induced scarcity and the considerable inter-annual fluctuations at the centre of the allocation problem. Water must be allocated both in time and space using acceptable criteria and most importantly, all stakeholders must adhere to the decisions imposed by water sharing agreements. READ MORE

  5. 5. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information

    Author : Marc Girons Lopez; Jan Seibert; Sven Halldin; Thomas Grabs; Giuliano Di Baldassarre; Elena Toth; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; water management; data resolution; non-traditional data; floods; modelling; social memory; precipitation; runoff; social media; interpolation; data value; gestió de l’aigua; resolució de les dades; dades no tradicionals; inundacions; modelització; memòria social; precipitació; escorrentia; xarxes socials; interpolació; valor de les dades; avrinning; befolkningars minne; dataupplösning; datavärde; interpolering; mjuk information; modellering; nederbörd; sociala medier; vattenförvaltning; översvämning; gestión del agua; resolución de los datos; datos no tradicionales; inundaciones; modelización; memoria social; precipitación; escorrentía; redes sociales; interpolación; valor de los datos; Hydrology; Hydrologi;

    Abstract : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. READ MORE