scholarly journals Residual characteristics of HCHs and DDTs in soil and dust of some parks in Ulaanbaatar, Mongolia

2014 ◽  
Vol 15 ◽  
pp. 15-20 ◽  
Author(s):  
O Khureldavaa ◽  
Jiang He ◽  
Dekun Hou ◽  
Ruiqing Zhang ◽  
Fujing Zhang ◽  
...  

The residual characteristics of HCHs and DDTs in park soils and dusts in Ulaanbaatar, Mongolia were determined by GC-ECD to evaluate their potential pollution risk. The residual concentrations of total HCHs and DDTs in the park soil samples were ranged in 11.36-53.14 ng·g-1 and 11.96-24.70 ng·g-1 while it was ranged in 32.28-92.68 ng·g-1 and 13.45-24.41 ng·g-1 in the park dust samples, respectively. We have studied the ratio of α-HCH/γ-HCH in order to determine pollution sources which may come from either technical HCHs or lindane. The study revealed that concentration of DDTs in soil has direct correlation on usage rate of the dicofol and technical DDT in the sampling area. The soil pollution assessments based on the single pollution index of HCHs and DDTs indicated that Ulaanbaatar city’s park soil and dust were not polluted with these compounds.The single pollution index of HCHs reached to 1.85 in A park dust samples,indicating the park dust environment was potentially polluted. DOI: http://doi.dx.org/10.5564/mjc.v15i0.315 Mongolian Journal of Chemistry 15 (41), 2014, p15-20

Author(s):  
Dhanraj Kamble ◽  
Pravin Chavan ◽  
Valmik Jondhale

The present study is devoted to determine the content of K, Na, pH of soil samples collected from Mahad tehsil territory. Elements leached from the deposits of the fertilizers have been accumulated in soil, thus constituting to soil pollution index. Focusing this study was carried out to compare out the nutrient contents of barren soil and Rice field soil in Mahad tehsil tertiary, by Flame photometry analysis.


2017 ◽  
Vol 18 (4) ◽  
pp. 1294-1307
Author(s):  
Rui Zuo ◽  
Xiaojuan Chen ◽  
Bin Wang ◽  
Dan Shan ◽  
Jie Yang ◽  
...  

Abstract Pollution sources are determined by source apportionment, and are used as human-influenced factors to calculate the pollution risk of regional groundwater. In this case study, 266 samples of shallow groundwater were collected from the Lower Liaohe River Plain in northeastern China. Hydrochemical indexes of NH4+, Ca2+, Cl−, F−, HCO3−, Pb, Mg2+, NO3−, NO2−, K+, Na+, SO42−, total Cr, chemical oxygen demand, total dissolved solids, and total hardness of each sample were determined. Factor analysis method was used to identify potential pollution sources. Five common factors (agricultural activities, groundwater extraction, industrial activities, river pollution, and sewage discharges) represented 77.10% of the total variance. The results showed that the relatively high pollution risk mainly occurred in the west, with 19.91% of the area. The southeastern area showed a low risk of pollution, covering only 1.07% of the study area. Clearly, human activities have significantly changed the distribution of regional groundwater pollution risk in the study area.


2019 ◽  
pp. 135-146
Author(s):  
Aynazhan M. Aitimova ◽  
Gusman Zh. Kenzhetayev ◽  
Vladimir N. Permyakov

Investigations were carried out to study the state of the soil in the territory of the Shetpe South chalk deposit and in the area of the Caspian Cement plant in October 2018. 20 soil samples were taken. Samples were taken from a depth of 0–20 cm. The presence of heavy metals in the soil was determined by atomic absorption spectrometry using AAC MGA-915M (Lumex, Russia), their content was compared with background values and with existing maximum allowable concentrations. The total soil pollution indicator or ZC , using the background, was used to study the state of the soil. The indicators of the soil pollution index were calculated to improve the diagnostic performance of the study area. The calculation of the total soil pollution indicator showed that the value of ZC for all sites was from 3,58 to 5,26 units. The soils are characterized as non-hazardous (ZC < 16), and the assessment of the condition of the soil is biased due to taking into account only heavy metals with KC < 1. The soil pollution index calculations showed that the majority of soil samples at sites PP-1, PP-2 and PP-3 have indicators of soil pollution index > 1, which characterizes the soil as "polluted". At site PP-4 (control) the soil pollution index is 0,74, the soils are "clean". Statistical processing in the environment Statistica 10 showed that the Kruskal — Wallis criterion is statistically significant only for Ni and As (p < 0,05) for soil samples at site PP-2 (at the site of transportation of chalk and dumps). Maps were performed using satellite imagery and using of Google Maps, Mapinfo Professionalv. 12.


2021 ◽  
Vol 851 (1) ◽  
pp. 012026
Author(s):  
A T Sekarningsih ◽  
W Budianta ◽  
I W Warmada ◽  
H Hinode

Abstract The effect of urbanization and industrialization in the urban city is soil contamination by heavy metals. This study was conducted to assess Pb, Cu, Zn, and Cd, in the soil of Yogyakarta city and its surrounding, Indonesia. The assessment was done by analyzing 45 surface soil samples in the study area, divided into three-zone. They are divided based on the distance of each zone to the center of the city. The zone III is located in the outermost of the study area, and zone I is inside the city. The results of the study showed that generally, the highest concentration of metals was located in zone I, which is located near or directly situated in a city center. The result indicated that Pb and Cd had the highest pollution index compared to Cu and Zn. The pollition load indeks (PLI) and geoaccumulation indeks (Igeo) calculations in the whole study area showed that the values demonstrated a moderate class in average. Special attention was needed to be given to the zone I, which has a higher PLI and Igeo index to reduce the source of emission for Pb and Cd.


2019 ◽  
Vol 12 (1) ◽  
pp. 248
Author(s):  
Jonghoon Park ◽  
Eunhye Kwon ◽  
Euijin Chung ◽  
Ha Kim ◽  
Batbold Battogtokh ◽  
...  

In this paper, we studied one of the largest coal mines in Mongolia, the Baganuur Coal Mine, in terms of environmental sustainability related to mining practices, with a focus on discharged water and waste sediments. The present quality and potential for future pollution were assessed. Based on World Health Organization and Mongolian guidelines, groundwater pumped from the mining operations could be used for drinking and domestic purposes. In addition, based on the Na absorption ratio, groundwater samples from GW-2 and GW-3 could be used as agriculture water supplies with salinity reduction, or used to grow halophytes as a measure for desertification control and pasture production. All waste soil samples appeared to have a desertification potential. Dust particles smaller than 150 μm comprised more than 80% of soil samples, which had arsenic levels higher than the Mongolian soil pollution standards. In addition, soil collected between coal seams (S-5) showed high sulphur content based on X-ray fluorescence (XRF) and scanning electron microscopy–energy dispersive X-ray (SEM-EDX) spectroscopy analyses, strong potential for producing acid mine drainage in the analysis of pH of net acid generation and net acid production potential, and potential for leaching of metals, such as Co. Therefore, the Baganuur Coal Mine requires soil pollution control measures to mitigate the risks of dust and desertification. In this perspective, mine groundwater could be used to reduce environmental stresses by supporting pasture crops such as halophytes on waste disposal sites, thereby preventing dust issues and desertification. Continuous efforts, including monitoring and enacting environmental management measures, are needed from both the mining company and the government to ensure sustainable mine development.


1991 ◽  
Vol 24 (11) ◽  
pp. 239-250 ◽  
Author(s):  
Tereza C. B. F. Cleary ◽  
Robert W. Cleary

A preventive approach in groundwater protection programs throughout Europe and the United States, and almost unknown in Brazil, is to define the surface and subsurface areas, the Wellhead Protection Area (WHPA), from which a well or wellfield draws its water during a specified time. Overlaying a map of potential pollution sources on the delineated WHPA (Figure 1), those sources which fall within the WHPA boundaries are identified as definite threats, that need to be closely monitored, to the continued safe operation of the wellfield. Given the importance of effectively delineating the WHPA to protect public water supplies, the current delineation criteria, methods, and zones are presented, as well as analytical and numerical PC model analyses of different hydrogeological scenarios' effects on WHPA's size, shape and direction. Numerical models are shown to more accurately define WHPAs by taking into account the surrounding heterogeneous and anisotropic geology.


2019 ◽  
Vol 35 (11-12) ◽  
pp. 688-702
Author(s):  
Dalia Abdel Moneim Kheirallah ◽  
Lamia Mostafa El-Samad ◽  
El Hassan Mostafa Mokhamer ◽  
Karolin Kamel Abdul-Aziz ◽  
Noura Abdel Haleem Toto

The present study used Pimelia latreillei as a biomonitoring insect for heavy metals soil pollution in a populated industrial area at Zawya Abd El-Qader, Alexandria, Egypt. Comet assay and histological analysis were applied to evaluate the potential risk of heavy metals. X-ray analysis of the soil samples collected from the polluted site revealed significantly increased metal percentages compared with the reference site. Moreover, a significant increase in metal percentages was detected by the X-ray analysis in insect ovaries collected from the polluted site. The Tail DNA length was significantly greater in the insects collected from the polluted site—47.6% compared with 11.4% at the reference site. Pronounced disruptions in oogenesis were observed through histological and ultrastructure investigations in insects collected from the polluted site. The study summarized the potential utility of insect biomonitors in predicting the effect of heavy metals soil pollution on occupational health.


2019 ◽  
Vol 245 ◽  
pp. 143-150 ◽  
Author(s):  
Lili Liu ◽  
Zhou Tang ◽  
Ming Kong ◽  
Xin Chen ◽  
Chunchun Zhou ◽  
...  

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