Environmental risks for children oral health in Low Danube region

The study was aimed to assess the environmental risks for children oral health in Low Danube region.Material and methods. The study was conducted in 2011-2021. Information on the state of drinking water, the level of environmental safety of food, qualitative and quantitative composition of food was obtained from the reports of territorial institutions of the sanitary-epidemiological service of Odessa region. Actual nutrition was assessed using standard questionnaires. The assessment of the level of environmental and hygienic safety was based on the recommendations of the EPA. Statistical processing was performed by methods of analysis of variance and correlation using specialized software Statistica 10.0.Results. Excessive carbohydrate intake and excessive nitrate load are the main environmental risk factors for dental pathology in children living in the Danube region. Qualitative composition of diets plays a bigger role than mineral composition of drinking water.Conclusion. 1. Drinking water of suboptimal mineral composition was consumed by 41.7% of people, high content of refined carbohydrates was inherent in the diets of 63.0% of surveyed children.2. Children’s diet is characterized with subdeficiency of B vitamins, excessive consumption of refined carbohydrates and a significant nitrate load.

Large discrepancies on nitrate loading estimates from sparse measurements by SWAT and statistical models at catchment scale

<p>Nitrogen (N) is one of the major pollutants to aquatic ecosystems. One of the key steps for efficient N reduction management at watershed scale is accurate quantification of N load. High frequency monitoring of stream water N concentration has not been common, and this has largely been the limiting factor for accurate estimation of N loading worldwide. N loads have often been estimated from sparse measurements. The objective of this study was to investigate the performance of the physical-based SWAT (Soil and Water Assessment Tool) model and three commonly used regression methods, namely LI (linear interpolation), WRTDS (Weighted Regression on Time, Discharge, and Season), and the LOADEST (LOAD ESTimator) on estimating nitrate load from sparse measurements through a case study in an agricultural watershed in eastern Canada. The range of daily nitrate load of SWAT and LOADEST was 0.05-1.29 and 0.14 - 1.35 t day<sup>-1</sup>, compared with 0.13 - 13.08 t day<sup>-1  </sup>and 0.15 - 16.75 t day<sup>-1 </sup>for LI and WRTDS, respectively. Mean daily nitrate load estimated by the four methods followed the order: WRTDS > LI > LOADEST > SWAT. The large discrepancies were mainly occurred during the non-growing season during which there was observation data available. As regression methods use concentration data from dry seasons to estimate the concentrations of wet seasons, there is a strong likelihood of overestimation of nitrate load for wet seasons. The results of this study shed new light on nitrate load estimation under conditions of different data availability. Under situations of limited water quality measurement, policy makers or researchers are likely to benefit from using hydrological models such as SWAT for constituent load estimation. However, the selection of the most appropriate method for load estimation should be seen as a dynamic process, and case by case evaluation is required especially when only sparsely measured data is available. As agri-environmental water quality issues become more pressing, it is critical that data collection strategies that encompass seasonal variation in streamflow and nitrate concentration be employed in regions like Atlantic Canada in the future.</p>

ANALISIS KAPASITAS BEBAN POLUTAN RUAS HILIR SUNGAI CITARUM MENGGUNAKAN QUAL2KW

The downstream segment of Citarum River flows from Bendung Curug, Karawang Regency and ends at Muara Gembong, Bekasi Regency. The pollution of downstream segment of Citarum River is caused by settlement, agriculture, farm, and industrial activities that dump their waste into river bodies. This causes a decrease in water quality and reduce the carrying capacity of the downstream segment of Citarum River pollutant. The purpose of this research was to analyze the pollutant load capacity (PLC) in downstream segment of Citarum River using QUAL2Kw model. This research was carried out downstream of Citarum River from segments 16 to 20 which were divided into 9 sections with 11 locations monitoring water quality. Sampling was carried out for 3 periods of observation that the sampling is done twice at each location using grab sampling method. Water quality parameters being modeled are BOD, COD, nitrate, and phosphate. The results of the simulation model of PLC for BOD was 14556.67 kg/day-23456.84 kg/day, COD was 24261.12 kg/day-39094.73 kg/day, nitrate was 24261.12 kg/day-39094.73 kg/day, and phosphate was 485.22 kg/day-781.89 kg/day. Overload of BOD was 0%-26%, COD was 61%-68%, phosphate was 78%-7%. Meanwhile, nitrate load in the Citarum River downstream segment doesn’t exceed its pollutant load capacity. Keywords: Pollution Load Capacity, carrying capacity, Citarum River, Qual2Kw, water quality