Do you need clean water in your city? At last time, the quality of urban water bodies does not correspond to normative requirements. The government could not control state of all urban water bodies. Mainly, this is related with financial costs. In the study, the method of geoenvironmental assessment of water bodies is proposed. It is differ from others by including four stages (study of anthropogenic factors, morphometric study, hydrochemical and hydrobiological analysis). And most importantly, hydrochemical analysis including few main parameters, which were divided by priority. Meanwhile, each of this parameter can be easily analyzed on-site and do not need expensive laboratory equipment. The proposed method of geoenvironmental assessment considered by the example of pond Teploe (Ufa city, Russia).
Nowadays, the problem of climate change receives a wide resonance throughout the world. According to meteorological observations in Bashkortostan over the past 30 years, annual precipitation has increased. The occurrence of natural hazards is directly related to climate change, the number of which has been steadily increasing in recent years. If in the period from 1998 till 2005, their number in Bashkiria ranged from 5 to 11, then in 2010 it was recordedas 37, and as 34 in 2016. In this article, the object of study is the Republic of Bashkortostan, its territory is 142, 947 km2. Available data consists of annual time series of precipitation for 34 stations, they were analyzed to identify potential trends and their significance. As a first step, precipitation data was checked to assess the quality of the data, to find potential points of change in the time series. For this purpose, parametric (The Student’s t -test) and non-parametric (Pettitt’s test) statistical criteria were applied. Then, a statistical test was used to determine the significance of linear trends (the Mann-Kendall trend test and the Sen’s test). Thus, the main purposes of the article are to detect points of change, as well as, to check, with a help of parametric and non-parametric tests, annual trends for precipitation data.
This article about theoretical and practical aspects of forming lawful persons of law enforcement bodies exactly education for them anti-corruption conscious and behavior. The analysis of literature is showed that in this moment is not widely using effective methods for creating and utilizing strict system of psychological and pedagogical methods for forming anticorruption conscious among law enforcement bodies officers. Estimated such shortages in anticorruption education as law informing of employees about corruption and its signs, declarative of legal documents about forming anticorruption behavior.The problem is showed – how and what to diagnose from hypothetical briber by psychological methods, which features of person will be in most possibility to detect his /her corrupt conscious. The conclusion is made about necessarily creating and approbation education program for forming anticorruption conscious with using psychological and pedagogic methods which can producing anticorruption behavior among law enforcement bodies officers.
The Italian territory has a high exposure to natural risks including floods and landslides. An early warning system run by the Department for Civil Protection, both at national and regional level, operates to forecasted conditions of potential hydrogeological risk on the basis of forecasted meteorological conditions. The aim of the present paper is to study the relationship between the level of alert issued by the Civil Protection and the characteristics of the associated rainfall events. The case study is a particular area of the Campania region, highly prone to hydrogeological risk. A database of 138 warnings issued during the period 2018-2019 has been analyzed. The warnings were classified using analytical and graphical methods with various criteria. The duration, total rainfall, peak intensity, return period, n-index, BSC-index were used. The results show that there is a clear correlation between the severity of the warnings and the cumulative, peak intensity and the structure of precipitation. No relationship has instead been found between the severity of the warnings and the severity of the rainfall event which, besides the limitation of the case study with a small sample of analyzed events, can be an indication of changing climate conditions.
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