Seasonal variability and source apportionment of metals in the atmospheric deposition in Belgrade

The primary objective of this study is to assess anthropogenic impacts on the environment by determination of element atmospheric depositions. Bulk depositions were collected monthly, from June 2002 to December 2006, at three urban locations in Belgrade. Concentrations of Al, V, Cr, Mn, Fe, Ni, Cu, Zn, Cd and Pb were analyzed by atomic absorption spectrometry and the current deposition fluxes of atmospheric metals were established. Fourier analysis was applied in order to investigate seasonal variation of the monthly data set. Nickel, V, Fe and Al showed pronounced seasonal dependence, while seasonal variation of the other elements was not evident. The enrichment factors of Pb, Zn, Cd and Cu were obviously above those who could have been caused by natural processes, indicating a mainly anthropogenic origin. Nickel was intermediately enriched suggesting participation of both natural and anthropogenic sources. The multivariate receptor model, Unmix, was used to analyze a 5-yr element atmospheric depositions data set. Three main source profiles (mixed road dust, oil combustion and metal processing) were identified and the overall average percentage source contributions determined.     

Moisture Sorption Characteristics of Chitosan/Polyethylene Oxide Blended Films

Studies on the moisture sorption characteristics of chitosan/polyethylene oxide (PEO) blended films have been carried out at 27 °C for water activity (a _w) from 0.1 to 0.9. The sorption data at different a _w were used to fit 12 different sorption isotherm models proposed in the literature. The model constants were determined by linear fitting of the sorption equations. The ranges of applicability of water activity for the isotherms reported in the article lie between 0.11 to 0.44 (monomolecular layer) for the BET model and between 0.11 to 0.86 (monolayer & multilayer’s) for Smith, Caurie, Bradley and Oswin. The water activity for Halsey and Chung & Pfost models lies between 0.44 to 0.86 (multilayer) and 0.33 to 0.86 for Henderson and Freundlich models and 0.11 to 0.65 for Kuhn, Linear and Iglesias & Chirife models. The high coefficient of determination R ² (ranges from 0.82 to 1) confirms the applicability of the equations employed. The study on the application of such water activity data of chitosan/PEO blended films on different model equations will be helpful in prediction of durability and functional behavior of moisture sensitive biopolymeric films     

Physiological effects of arsenate on transplant thalli of the lichen Pyxine cocoes (Sw.) Nyl

Introduction

The changes in photosynthetic pigments, chlorophyll fluorescence, protein content, and antioxidant enzymes were investigated in a foliose lichen Pyxine cocoes, which was subjected to increasing concentrations of arsenate.

Methods

The arsenate concentrations of 10, 25, 50, 75, 100, and 200???M were sprayed every alternate day on the lichen thallus. The thalli were then harvested on 10, 20, 30, and 45?days.

Results

The quantity of photosynthetic pigments exhibited a decreasing trend till 20?days but increased from 30?days onwards. Concomitantly, chlorophyll fluorescence also showed a decreasing trend with increasing arsenic treatment duration as well as concentration. The higher concentration of arsenate was found to be deleterious to the photosynthesis of lichen as the chlorophyll fluorescence and the amount of pigments decreased significantly. The protein content of lichen increased uninterruptedly as the concentration of arsenate as well as duration of treatment increased. The activities of superoxide dismutase and ascorbate peroxide increased initially at lower concentration of arsenate but declined at higher concentrations and longer duration of treatment.

Conclusions

The catalase activity was found to be most susceptible to arsenate stress as its activity started declining from very beginning of the experiment. P. cocoes also proved to be an excellent accumulator of arsenate whose concentration increased in the thallus corresponding to its increase in the treatment and duration. Thus, it can be utilized for active biomonitoring of arsenic pollution.     

Assessment of spatial-temporal patterns of surface and ground water qualities and factors influencing management strategy of groundwater system in an urban river corridor of Nepal

This study examined the spatial-temporal variations and factors influencing the management of groundwater along a section of the Bagmati river corridor in the Kathmandu valley (Nepal). The results showed that rural areas were less polluted than urban areas. In urban areas, the biochemical oxygen demand (BOD), total nitrogen (TN) and total phosphorus (TP) concentrations ranged from 8.41 to 29.74 mg/L, 6.7 to 128.96 mg/L and 0.06 to 1.5 mg/L, respectively. In rural areas, the BOD, TN and TP concentrations ranged from 0.78 to 18.25 mg/L, 4.8 to 11.56 mg/L and 0.07 to 0.65 mg/L, respectively. The level of organics was higher in the pre-monsoon season, while the level of nutrients was higher in post-monsoon season. A comparison of the groundwater and surface water in the upstream rural areas revealed that the TP concentration was higher in the groundwater than in the surface water, which was attributed to the sorption of phosphorus on iron, aluminum or calcium compounds contained in the surface water, which depends upon the temperature, pH and dissolved oxygen. In urban areas, a few wells were found at groundwater levels lower than the corresponding surface water levels and were subjected to a high risk of pollution. Overall, these findings reinforce the notion that the management of surface and ground waters in an integrated approach is essential for attaining sustainable development of groundwater systems.     

Effect of amendments on the extractability, retention and plant uptake of metals on a sewage-irrigated soil

Laboratory and greenhouse experiments were conducted to evaluate the effects of farmyard manure (FYM), CaCO(3) and single superphosphate (SSP) on retention and availability of Zn, Cu and Ni in sewage-irrigated soil. We also assessed the suitability of 0.05M EDTA for predicting the effectiveness of these amendments in reducing the phytoavailability of metals. Results indicated that EDTA could successfully predict the phytoavailability of Zn and Ni in amended soil, whereas it failed in case of Cu. By and large, application of CaCO(3), either alone or in combination with FYM had a positive effect on the retention of Zn, Cu and Ni in soil. Application of CaCO(3) alone or in combination with FYM was equally effective in reducing the Zn content in lettuce, whereas sole application of CaCO(3) significantly reduced Ni content. However, only SSP was found to be effective in reducing the Cu content in lettuce.     

Physiological response of the lichen Phaeophyscia hispidula (Ach.) Essl., to the urban environment of Pauri and Srinagar (Garhwal), Himalayas, India

The present study was designed with an aim to observe the effect of increasing urbanization and traffic activity on the physiology of a foliose lichen, Phaeophyscia hispidula (Ach.) Essl., collected from 13 different localities, growing in their natural habitat, in Pauri and Srinagar, two cities in the Himalayas. Six parameters i.e., Chl. a, Chl. b, total pigment, chlorophyll degradation, carotenoid and total protein content, proved the most useful to assess air pollution, were measured. Chlorophyll content and protein content are an efficient parameter to measure the air quality of a region. The study indicates that P. hispidula is pollution tolerant (adaptation) and able to withstand local emissions from vehicle exhausts.     

Recent innovation in clean conversion technologies,carbon capture and utilization,advance treatment for energy,air, water,biomass and soil for green and sustainable development 2021 (ICheEC 2021)

Environmental Science and Pollution Research -     

Performance analysis and optimization of solar-powered E-rickshaw for environmental sustainability in rural transportation

Environmental Science and Pollution Research - The last mile connectivity through public transport is a challenging task in India. However, according to the Society of Indian Automotive...     

Breakthrough Curves Characterization and Identification of an Unknown Pollution Source in Groundwater System Using an Artificial Neural Network (ANN)

Contamination of groundwater constrains its uses and poses a serious threat to the environment. Once groundwater is contaminated, the cleanup may be difficult and expensive. Identification of unknown pollution sources is the first step toward adopting any remediation strategy. The proposed methodology exploits the capability of a universal function approximation by a feed-forward multilayer artificial neural network (ANN) to identify the sources in terms of its location, magnitudes, and duration of activity. The back-propagation algorithm is utilized for training the ANN to identify the source characteristics based on simulated concentration data at specified observation locations in the aquifer. Uniform random generation and the Latin hypercube sampling method of random generation are used to generate temporal varying source fluxes. These source fluxes are used in groundwater flow and the transport simulation model to generate necessary data for the ANN model-building processes. Breakthrough curves obtained for the specified pollution scenario are characterized by different methods. The characterized breakthrough curves parameters serve as inputs to ANN model. Unknown pollution source characteristics are outputs for ANN model. Experimentation is also performed with different number of training and testing patterns. In addition, the effects of measurement errors in concentration measurements values are used to show the robustness of ANN based methodology for source identification in case of erroneous data.