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Insufficient wastewater treatment causes serious problems for the environment and health in the Leningrad Region. Even though wastewater treatment has been improving during the last decade, almost no attention has been paid to the wastewater sludge treatment. Nutrient emissions from the organic wastes, including wastewater sludge, are among the most significant sources of the eutrophication of the Baltic Sea. Disposal of sludge causes also significant greenhouse gas emissions, polluting local water resources and filling up the landfill sites. Currently the main treatment method of wastewater sludge in Russia is so called aging. This means that sludge is stored in piles from some months up to some years, and after that the sludge is disposed to landfills. In order to develop wastewater sludge treatment, it is essential to know the properties of the material treated. In Russia, wastewater sludge is often expected to contain high amounts of heavy metals. This is a significant challenge for material or energy recovery from the sludge. Different possible treatment methods of wastewater sludge are discussed in this paper. The properties and composition of wastewater sludge from two different municipal wastewater treatment plants are defined and discussed in the paper. The main properties are volatile and total solids, moisture and ash content, inorganic compounds, heavy metal contents, and the lower heating value of dry matter. The effect of the properties on energy and nutrient recovery purposes are evaluated.

Kansallinen julkaisumetriikkaopas (KJMO) on kansallisena yhteistyönä toteutettu ja ylläpidettävä opas julkaisumetriikasta. Se on avoimesti verkossa saatavilla ja on tarkoitettu kaikille, jotka tarvitsevat työssään tai muussa toiminnassaan tietoa julkaisujen analysoimisesta ja siihen käytettävistä välineistä. Käyttäjät eivät tarvitse esitietoja julkaisumetriikasta, mutta tieteellisen julkaisemisen käytäntöjen ja suomalaisten tutkimusorganisaatioidentoimintaympäristön tuntemus on tarpeen.

Judging value of scholarly outputs quantitatively remains a difficult but unavoidable challenge. Most of the proposed solutions suffer from three fundamental shortcomings: they involve i) the concept of journal, in one way or another, ii) calculating arithmetic averages from extremely skewed distributions, and iii) binning data by calendar year. Here, we introduce a new metric Co-citation Percentile Rank (CPR), that relates the current citation rate of the target output taken at resolution of days since first citable, to the distribution of current citation rates of outputs in its co-citation set, as its percentile rank in that set. We explore some of its properties with an example dataset of all scholarly outputs from University of Jyväskylä spanning multiple years and disciplines. We also demonstrate how CPR can be efficiently implemented with Dimensions database API, and provide a publicly available web resource JYUcite, allowing anyone to retrieve CPR value for any output that has a DOI and is indexed in the Dimensions database. Finally, we discuss how CPR remedies failures of the Relative Citation Ratio (RCR), and remaining issues in situations where CPR too could potentially lead to biased judgement of value.