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Evaluation of such processes requires the description of the mean mineral assemblage of the rocks in which water is found, and the identification of the chemical reactions responsible for the geochemical evolution of groundwaters (Salameh 2001).
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Evaluation of such process requires the description of the mineral assemblage of the rocks in which water is found, and the identification of chemical reaction responsible for the geochemical evolution of groundwater.
Systematic and high-quality monitoring and evaluation (M&E) of such processes is rare.
Substantial goals of research at the Leibniz Institute of Ecological and Regional Development IOERR) are the development of methods for the detection of land use changes and for the description of this development by indicators, as well as the analysis and evaluation of the effects of such processes on selected environmental protection assets.
The Geochemical processes occurring within surface and groundwater and reactions with aquifer material have a great effect on water quality (Herczeg et al. 1991), thus the evaluation of the importance of such processes is essential if the water resources are to be properly developed for human consumption, agricultural and industrial activities.
Further, the evaluation of growth rates of the individual species during the growth of mixed culture in a process offers insights into the operation of such processes.
An example of such process (evaluation steps) is introduced e.g. by Kuitunen and Hyytinen [13] in Lähteenmäki-Smith et al. [19]: 1. Setting and defining of evaluation objectives 2.
Hence, it is quite important to search for a quick and accurate determination of thermal conductivity of CO2 for precise modeling and evaluation of such a process.
The need for thorough understanding of the dynamics of complex interventions is recognised within the UK Medical Research Council's framework for complex healthcare interventions [ 1] and the value of undertaking in-depth process evaluation of such interventions is both well understood and widely advocated [ 2].
Routine activity data could be used to describe progress in centralisation, but more detailed evaluation of processes such as disease staging requires prospective data collection.
Examining and measuring health professionals' attitudes to depression is important as it enables exploration of changes over time and between different groups and settings, so allowing greater understanding and more systematic evaluation of processes such as specific educational activities or wider mass campaign initiatives that might improve condition recognition and management.
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