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CARE-W was a joint European initiative to develop a framework for water network rehabilitation. The project was supported by the European Commission under the Fifth Framework Programme for Research and Development. The aim of CARE-W was to support European water companies in their decisions on upgrading their water supply. The system has been developed for and tested by cities representing all parts of Europe. CARE-W consists of software dealing with fundamental instruments for estimating the current and future condition of water networks, including tools to assess performance indicators (PI), to predict pipe failures (FAIL) and to calculate water supply reliability (REL). Based on the results of these tools, annual rehabilitation projects are selected and ranked (ARP tool). Information of network is further used for the estimation of long-term investments needs (LTP). The tools are operated jointly within the "CARE-W Manager", which also contains facilities for using pipe network databases, geographical information systems (GIS) and input/output routines. The results from using the procedures are presented by reports, in tables and graphically. Aimed at planning engineers, water utilities and municipalities and consultants working in the increasingly growing field of the planning of rehabilitation of water networks in cities.
Now updated to cover latest versions and featuring instructions for both Mac and Windows users, this book is still the go-to source of support for getting to grips with qualitative data analysis using ATLAS.ti. With over twenty years of experience using, developing, and teaching ATLAS.ti, Susanne Friese is the perfect data analysis tour guide. Aware of common challenges and sticking points, she eases readers from readying and organizing data into coding and querying it, providing not only tips on how to prepare for analysis, but also the tools and technical know-how needed to observe, examine, and discuss data. Placing quick software ‘skills training’ tutorials alongside different stages of the data analysis process, she gives readers the opportunity to integrate software training with their actual analysis.