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The sludge resulted from the urban wastewater treatment plants, can be used, from a circular economy, as a fertilizer for agricultural and degraded lands, for horticulture and forestry. This paper aims to propose an alternative for the use of this type of sludge in a sustainable way, with a low impact on the environment. The study consisted of experiments done to recover the stabilized sludge from the urban wastewater treatment plants in the process of degraded land rehabilitation, using the energetic willow, Salix sp. The experimental results showed that the use of stabilized sludge as fertilizer for naturally and anthropogenic degraded lands determined the improvement of nutritional characteristics of the lands cultivated with Salix sp., and allowed the growth, development, and maintenance of this plant. Taking into consideration the characteristics of the cultures and the quantities of metals accumulated by Salix sp., it can be concluded that these plants were adapted to the environmental conditions and the substrate toxically composition. The results obtained on two degraded lands indicate that Salix sp. can be used for its introduction in the economic circuit, both for salty soils and ash dumps.

The paper focused on the possible links among pollution, pollution management efficiency including waste management and the propensity of a variety of emerging diseases in our society by answering the question: “How pollution can affect human health?” Environmental pollution is a reality and our planet ecosystem possibilities to face the challenges due to the constant exceeding its resilience are becoming smaller and smaller. The evolution of the climate change indicators like global temperature, global CO2 emissions, oceans acidification and species extinction point out that in a not very long period of time, the planet will not be able to sustain any more the present society’s life style set by the current economic development. Therefore, many warning signals have been issued to change the present behavior in order to reduce significant damages done to the environment and on human health with serious implications on the dysregulation of our immunity and the onset of a plethora of diseases. In this respect, the present paper reviewed relevant aspects linked to the environmental pollution issues that become part of scientific and public debates presented in specialty literature in recent years emphasizing why the implementation of “One Health” concept is necessary.

Both nationally and globally, waste generation increases with increasing product consumption. Thus, addressing the issue of waste is an ongoing challenge for researchers around the world. This challenge derives from the fact that in many European countries, including Romania, the amount of waste generated is very high compared to current technologies for treatment, recycle or recovery. Therefore, the most convenient management methods remain storage and incineration. These methods generate significant amounts of hazardous pollutants with a significant impact on the environment and human health. The paper presents a series of results related to waste management obtained within National Research and Development Institute for Industrial Ecology – ECOIND Bucharest in the last 10 years. The paper is focused on four topics: analytical detection and monitoring of waste pollutants; environmental impact and risk assessments; harmonized waste classification and management; waste treatment and recovery technologies. The results obtained within these topics refer to optimal methods for detection and characterization of complex waste matrices, methods for assessing the impact on the environment generated by non-compliant landfills and risk prediction and reliable solutions and technologies for waste treatment and recovery. The topics approached represent a challenge for starting the implementation of circular economy concept promoted by EU and adopted by countries and governments all over the world.

A newly developed direct injection HPLC-DAD method for the simultaneous detection of Brilliant Blue (BB), Sunset Yellow (SY) and Tartrazine (TA) synthetic dyes was validated and applied to surface and wastewater samples. Chromatographic separation was achieved using an Acclaim Surfactant Plus column (150 x 3.0 mm, 3 um) in isocratic elution mode with a mobile phase consisting of 100 mM CH3COONH4 and ACN in the ratio 50/50 (v/v). Linear calibration curves were plotted in the range of 2-100 μg/L (BB) and 6-300 μg/L (SY, TA) respectively with correlation coefficients (R2) higher than 0.99. Low quantitation limit values (LOQ) were obtained for the direct injection HPLC-DAD method, namely: 1.0 �g/L (BB), 5.5 �g/L (SY) and 5.8 �g/L (TA), respectively. The entire sample preparation procedure consisted only in simple filtration using PTFE syringe filters (0.45 �m) without sample extraction or concentration, which improved method accuracy and precision. HPLC-DAD developed method proved to be fast (6 minutes run-time), sensitive and accurate and was succesfully applied for the analysis of the synthetic dyes in surface and wastewater samples. Considering all analyzed samples (8 surface water and 11 wastewater samples), Brilliant Blue was found in influent samples with values between 4.49 � 14.17 �g/L and effluent samples with values between 1.07 � 9.54 �g/L, whereas Sunset Yellow and Tartrazine were not detected in any of the analyzed samples.

The paper presents the test results regarding the evaluation of the accuracy of the PM2.5 and PM10 particulate matter concentration measurement performed with the uRADMonitor A3 fixed air quality monitoring station produced by SC MAGNASCI SRL. The procedure involves the calculation of the accuracy elements: trueness and precision, based on the experimental data obtained by measuring the concentration of particulate matter using the tested analysers in parallel with the reference method, SR EN 12341: 2014, and analysis of data series by Pearson correlation and linear regression.

Two spectrometric methods have been developed for quantitative simultaneous determination of procaine hydrochloride (PH·HCl), procainamide hydrochloride (PHA·HCl) and lidocaine (Lid) from synthetic mixture. The methods employed are first derivative spectrometry, using zero crossing method and multicomponent analysis which is based on the additivity law. Using first derivative spectrometry, the wavelength selected for the quantitative determination of PH·HCl was 237 nm for Lid was 242 nm and for PHA·HCl was 290 nm in mixture. The method is linear when the concentration ranged between 6.62-9.93 μg/mL for PH·HCl, 6.43-9.64 for PHA·HCl and 5.56-8.35 for Lid. The multicomponent analysis is a direct method and involves the absorbance measurements of at three different wavelengths. The molar absorption coefficients values were calculated at each wavelength and the concentration of PH·HCl, PHA·HCl and Lid from mixture was determined by solving matrix using Cramer's rule. The recovery of each compound in mixture was calculated and it is 101.4 % for PH·HCl, 100.4 % for PHA·HCl and 98.4 % for Lid.

The odours in the ambient air, through the discomfort that they induce, represent an actual problem for the communities located nearby companies with technological processes that emit in the air different strong and unpleasant odorous substances. The standard method for odour assessment involves measuring the concentration through dynamic olfactometry according with SR EN 13725:2003, a very complex method that requires specialized working staff and expensive equipment. The paper presents an indirect method for odour assessment in the ambient air, based on monitoring the process and meteorological data - Predictive Emission Monitoring Systems (PEMS) and it is applied to a livestock farm. Using the multiple regression analysis of the monitoring data for the most important specific technological and meteorological parameters it can be developed a mathematical model that could be used for the calculation of odour concentration in air, without the necessity of direct measurement, after the initial step. For the case study presented in the paper, the distance between the slurry lagoon was identified as a significant statistical parameter that can determine in a proportion of 72% the concentration of odour in the ambient air nearby the farm; the margin of error for odour concentration assessment, according to the model validation tests, is ± 8%, acceptable value for an estimation method by mathematical modelling.

This paper brings into attention of the indoor air specialists new information regarding the assessment of the potential cumulated impact of the air chemical compounds and microclimate factors on materials; for exemplification it was selected a wooden church made by oak and the monitoring values for temperature, humidity and the concentration of four chemical compounds with a destructive potential on organic materials generally: NO2, SO2, O3 and PM2.5.

The assessment of the storage capacity of heavy metals (Zn, Cu, Ni) in Lemna minor L., was carried out on wastewater from galvanizing plants. Purification yield decreases with increasing metal concentration in water. The rate of bioaccumulation is high in the first three days, then decreases over the next four days.

The study aims to assess the identification of the specific species of plants for selection of certain plant species and utilization of selected one�s in experimental biomonitoring studies.The purpose of the proposed study was to develop and apply new techniques, methods and methodologies for air quality assessing in the context of climate change and updating of international environmental studys. The novelty of the active biomonitoring method using plants is an innovative research area for the National Research and Development Institute for Industrial Ecology in terms of the use of sentinel species. The first stage research activity was aimed to identify plant species with specific response to certain environmental pollutants, in our case, ozone. By exposing higher plants (from the Solanaceae family) to various environmental conditions, a direct impact measurement of ground-level ozone was considered - as an indicator of environmental pollution (air) - there was a significant difference relationship between soil level ozone variation and foliar necrosis.

Hexabromocyclododecane (HBCD) is a large-scale usage brominated flame retardant consisting of a mixture of diastereoisomers which has been reported as an ubiquitous environmental contaminant. HBCD has attracted much attention due to its toxicity and increasing levels in waste water sewage sludge. Since November 2014, HBCD was added to the Persistent Organic Pollutants list of the Stockholm Convention which generated a higher concern regarding its presence in the environment. A rapid (8 min) and accurate liquid chromatography electrospray ionization tandem mass spectrometry method (LC-ESI-MS/MS) was developed to separate and detect a-, b- and g-HBCD isomers from sewage sludge. Optimization of LC-MS parameters (column temperature, mobile phase composition and flow, collision energy, fragmentor voltage, capillary voltage and drying gas temperature) allowed complete separation of the three isomers and also very good detection sensitivity with instrumental quantitation limits (IQLs) between 0.3 and 0.6 ng/mL. The three isomers were separated on a C18 reversed-phase column, kept at 18�C, using a H2O/ACN/MeOH mobile phase mixture and detected by negative electrospray ionization using MRM mode with two transitions, one for quantitation and one for confirmation. MS detector response was linear in the range 1.0 � 100.0 ng/mL with correlation coefficients (R2) higher than 0.99 for all three isomers. A simple ultrasonic assisted liquid-solid extraction procedure using a solvent mixture was employed to extract HBCD isomers from WWTP sewage sludge. Overall method intra-day and inter-day precision (RSD%) were situated between 7.6 � 9.2% and 10.3 � 14.5%, respectively. LOQs for a-, b- and g-HBCD were 1.4, 0.7 and 1.0 ng/g, comparable and even lower to those reported by similar studies concerning HBCD presence in WWTP sewage sludge. HBCD presence was tested from several WWTP sludge samples. All three isomers were found with 100% detection frequency ranging from 3 to 76 ng/g.

The Danube River is the major source of drinking water supply for the cities in the southern part of Romania. The study was a descriptive-analytical one and lasted for 9 month. Samples were taken monthly between March 2016 and November 2016. Six sampling sites were selected to evaluate the spatial and temporal changes of water quality along the river. The samples were analyzed based on the standard methods for the following parameters: pH, conductivity (EC), NH4+, NO3-, Cl -, suspended solids, PO43-, SO42-, metals (Fe, Cd, Cr, Pb, Ni, Hg, As, Zn, Cu, Mn). The obtained values were compared with those imposed by the Romanian environmental legislation. An efficient and simplified method to express the quality of water used for consumption is provided by the Water Quality Index (WQI). WQI reflects the quality of water in a single value by comparing data obtained from the investigation of a number of physico-chemical parameters to the existing limits. The evaluation of water quality was performed using the Water Quality Index of the Canadian Council of Ministries of the Environment (CCME WQI). Water quality indices were classified as: excellent, good, medium, bad and very bad. The results indicated the water quality classification as �good� in all six sampling selected sites.

Increasing and widespread use of neonicotinoid insecticides in all world, together with their highly toxicity to invertebrates and environmental persistence mean that surface waters need to be monitored for these compounds. In the 2015, neonicotinoid insecticides have been incorporated in the watch list of substances for a European Union monitoring program (495/2015/ EU). A new method using automated solid phase extraction (SPE) with polymeric cartridges (OASIS HLB) followed by LC-MS/MS provided good separation of the most common neonicotindoid compounds. The method was developed for the determination of four neonicotinoid insecticides (nitenpyram, thiamethoxam, clothianidin, acetamiprid) in surface water with low limit of quantification (0.3-0.9 ng/L, nanograms per liter). Recoveries in surface water samples fortified at 200 ng/L for each compound ranged from 71.4 to 109.9 %; relative standard deviation ranged from 4 to 9%. The method was applied to water samples from four streams in Romania, Danube River and its tributaries (Arges River, Jiu River, and Olt River). The surface water samples were found to be contaminated clothianidin (1.08-6.4 ng/L) and by thiamethoxam (1.1-3.8ng/L). The highest concentrations were recorded in Danube River in Oltenita point (6.4ng/L) and in Gura-Vaii point (5.5ng/L). The concentration of acetamiprid and nitenpyram were situated below limit of quantification in all samples.

Mining activities are recognized as generating adverse effects on the environmental quality. The waste resulted from ore processing activities settled on the ponds was established as a significant pollution source of the soil and groundwater in the site areas. The paper presents the spatio-temporal variation of the characteristics of groundwater in the area of a waterproofed pond, located near two other tailings ponds, unenriched, of an age of over 30 years. Groundwater quality is highlighted in an area situated in the north of the country in terms of metals content determined in several seasonal campaigns.

A possible prediction methodology for the concentration of pollutants wave in aquatic environment using Rough Set Theory is presented. The issue is of increasingly importance especially for early pollution risk warning. The hydro-morphologic complex characteristics of surface water bodies should be taken into account when pollution dispersion models are designed. However, when more characteristics/multi-criteria are taken into account, including pollutants physical-chemical ones and their environmental-media partition trends and interactions, the complexity of the dispersion models increases, making those models appropriate only for specific case studies. Through the proposed computation formalism, Rough Set Theory is able to eliminate the uncertainty introduced by any model parameters, being based on the experimental and expert observations assessment. It is able to deal also with the uncertainty introduced by the data of non-homogeneous quality (incomplete, redundant etc). For those reasons it became a reliable new instrument to be used in diagnosis and prediction. Despite the fact that Rough Set Theory users community is present in different fields of activity for few decades, in the environmental field the theory is sparingly used. The new proposed methodology using Rough Set Theory shows the possibility to extend its applicability within the environmental field as an instrument able to characterize the relation: pollution source - migration ways of pollutants - targets and to manage the uncertainty in relation to the pollution evolution phenomena. Implemented with minimum computation requirements the methodology might be used as an economically and user friendly decision support.

International Symposium "The Environment and the Industry", 20-21 September, 2018, Bucharest, Romania, pp. 78-79

This paper presents a new way to assess the environmental impact on historical artifacts using binary logistic regression. The prediction of the impact on the exhibits during certain pollution scenarios (environmental impact) was calculated by a mathematical model based on the binary logistic regression; it allows the identification of those environmental parameters from a multitude of possible parameters with a significant impact on exhibitions and ranks them according to their severity effect. Air quality (NO2, SO2, O3 and PM2.5) and microclimate parameters (temperature, humidity) monitoring data from a case study conducted within exhibition and storage spaces of the Romanian National Aviation Museum Bucharest have been used for developing and validating the binary logistic regression method and the mathematical model. The logistic regression analysis was used on 794 data combinations (715 to develop of the model and 79 to validate it) by a Statistical Package for Social Sciences (SPSS 20.0). Th...

Integrated Urban Water Management (IUWM) represents an integrated approach that aims to reduce urban water demand from centralised urban water sewerage system through implementation of water consumption reduction management, use of alternative water sources, water recycling and reuse. IUWM is not a scope but rather a tool used to integrate water resources, economic sectors that are using water, water supply – sewerage systems and water management authorities. Based on the three pillars of sustainable development a strategic model for implementation of IUWM within urban areas was developed. For the implementation of proposed IUWM strategic model the following main steps are needed to be undertaken: real diagnosis of the current water management status, setting up the vision, mission and fundamental values, establishment of strategic objectives structured on four perspectives (financial, partners, internal processes, learning/growth) and development of key performance indicators set. An example of proposed IUWM strategic model applied on an urban area is also presented.