Occurrence of Pesticides Associated with an Agricultural Drainage System in a Mediterranean Environment

Surface water pollution (as a result of pesticides) is a major problem, due to the negative impact on human health and ecosystems. The excessive use and persistence of surface water pollution in the environment may present a notable risk. In this article, DDT and its metabolite DDE hereafter, DDT–DDE), and a commonly used pesticide (herbicide) glyphosate, were analyzed in agricultural drainage waters; afterward, a spatial analysis was applied to identify potential areas of high pesticide occurrence in an agricultural Mediterranean coastal floodplain. The spatial distribution of banned (Directive 79/117/EEC), yet highly persistent pesticides in the environment, such as DDT (and metabolites), was compared with the (currently and mostly used) glyphosate. A sequence of various point patterns, spatial analysis methods, and non-parametric statistics, were computed to elucidate the pesticide pollution hotspots. As a reference value, almost 70% of the water samples were above the World Health Organization (WHO) guideline for DDT (and metabolites) for drinking water (1 µg/L), with a maximum of 6.53 µg/L. Our spatial analysis approach revealed a significantly high concentration of DDT–DDE clusters close to wetlands in natural parks, where mosquitos are abundant, and pesticides persist and flow to the surface waters from soil and groundwater pools. Conversely, glyphosate concentrations were below WHO guidelines; their spatial patterns were related more toward current agricultural uses in the southern sector of the study area.

Development of a method of assessment of ecological risk of surface water pollution by nitrogen compounds

A method has been developed for quantitative and qualitative assessment of the risk of surface water pollution by nitrogen compounds based on the use of the indicator of the total content of inorganic nitrogen forms in water (Ninorg), that is, This indicator is considered as the sensitivity coefficient kn. The choice of the indicator is dictated by the need to protect waters from pollution caused by nitrogen compounds during their flow from agricultural sources (Directive 91/676 /EU). The experience of developed countries has shown that nitrogen compounds deteriorate the quality of water and prevent the achievement of a "good ecological state" of water bodies. For territories with developed agriculture, it is important to establish environmental risks of damage depending on the degree of nitrogen pollution. Quantitative assessments of environmental risk are provided on the basis of a probabilistic approach. The risk was calculated as the product of the probability of a hazardous event occurring multiplied by the consequences of this event. The consequences of river pollution with nitrogen compounds were assessed as the ratio of the total concentration of nitrogen compounds (sensitivity index kn) to its threshold value (50 mg/dm3 or 11.3 mgN/dm3). In order to develop a scale for qualitative and quantitative risk assessment, relationships were established between the sensitivity indicators kн and the risk indicators R' for individual rivers, and for the study area as a whole, by means of spatio-temporal generalization. The probabilistic characteristics of possible environmental damage were determined on the basis of the obtained regression equations of the form R'=f(kn) and the statistical law of distribution of the risk value R'. The developed method will make it possible to determine the rank of the risk zone and the probability of getting into it, depending on the given sensitivity indicator kn

MODELING AND FORECASTING OF THE STATUS OF SURFACE WATER POLLUTION OF THE STYR RIVER

The main sources of surface water pollution are determined, mathematical models describing the change of values of chemical and bacteriological indicators of river water quality are considered, the consequences of influence of untreated or under-treated wastewater discharged into rivers on the quality of water in it are substantiated, predictive models of the state of pollution of surface waters are built on the basis of GIS of the Styr River at five observation stations within the Volyn and Rivne regions for the period up to 2022, it has been proved that periodic monitoring of surface water pollution is sufficient for their qualitative forecasting of their condition, etc. In recent decades, GIS has been an effective tool for wastewater management and, therefore, more effective decision-making, as it greatly simplifies the processing of large amounts of geospatial and attributive data. The use of GIS provides the integration of maps to identify places of potential pollution and geographical indication of pollution in different parts of the river, downstream to the outlets of wastewater. Studies of river processes have always been conducted primarily to study their impact on river water quality. Water quality is the main characteristic of rivers in the analysis of their ecological condition and in terms of water use. Our study emphasizes the feasibility and effectiveness of short-term continuous monthly measurement of water quality and the development of the river index in order to focus management decisions on the gradual improvement of water quality. In this study, mathematical modeling of river pollution forecasting was used and forecast diagrams for 2021-2022 were constructed. As a result, these data will be an effective environmental decision-making tool for the implementation of optimal engineering controls at points of interest to prevent environmental damage and protect human health.

THE EIS OPTIONS AT MONITORING THE SPREAD OF POLLUTION IN THE STREAM

Water pollution is one of the most significant problems in the world today and is a global problem. Surface water pollution in streams and reservoirs is reflected in the deterioration of the quality of aquatic ecosystems, including those that occur in their vicinity or follow them. Lack of quality drinking water is one of the main causes of various diseases, which can lead to death, especially in developing countries. Therefore, it is important to detect water pollution in time and anticipate how it could develop and be transported in the stream. Measurements on a physical model are time-consuming and economically demanding, but for a given locality it can provide comprehensive information, including the proposal of possible measures and their verification. It is also a suitable approach for calibration and verification of mathematical models. One of the main tasks in the physical modelling of the spread of pollution in the stream was to find a suitable substance that would simulate the pollution without being aggressive towards the water pumping circuit. The method of electrical impedance spectrometry was chosen for its detection in the stream.

WATER POLLUTION BY WASTE WATER FROM RAILWAY FACILITIES

Статья посвящена оценке влияния предприятий железнодорожного транспорта на водную среду. Приведен перечень предприятий и основные источники загрязнения поверхностных вод, а также спектр загрязняющих веществ. The article is devoted to assessing the impact of railway transport enterprises on the aquatic environment. A list of enterprises and the main sources of surface water pollution, as well as a range of pollutants are given.

DETERMINATION OF THE LEVEL OF POLLUTION OF WATER RESOURCES

The based on the data of laboratory studies, an integrated assessment of the quality of water resources the village of Mala Belozerka. Analytical researches have search character of an integrated estimation of level of pollution of district and are executed by a method which is offered by researchers Kryzhanovsky E.M. and Davydov I.V., is of a recommended nature and based on the algorithm of the officially approved methodology of the KND 211.1.1.106 "Organization and implementation of observations of surface water pollution (in the system of the Ministry of Energy)". According to the results of the calculation of the total pollution rate, it was found that the local water resources are characterized as dirty, despite the relatively high quality of groundwater, which is used as a source for drinking water supply to the rural population.