scholarly journals Soil pollution status of urban soils in St. Petersburg city, North-west of Russia

2021 ◽  
Author(s):  
Vyacheslav Polyakov ◽  
Alexander Kozlov ◽  
Azamat Suleymanov ◽  
Evgeny Abakumov
Keyword(s):  
Spatial Distribution ◽  
Soil Pollution ◽  
Terrestrial Ecosystems ◽  
Industrial Area ◽  
City Centre ◽  
North West ◽  
The North ◽  
Polycyclic Aromatic ◽  
Terrestrial Environments ◽  
Metal Migration

The intensive urbanisation of terrestrial environments and industrial activity have an effect on the accumulation of risky metals in the soil and increase the toxicological risk to the terrestrial ecosystems and human health. Ninety-six topsoil samples from of St. Petersburg Russia as the source of the content of seven key risky metals (As, Cd, Pb, Zn, Ni, Cu, Hg) and polycyclic aromatic hydrocarbons (PAHs) have been investigated. To identify the spatial distribution of the risky metals and PAHs, GIS technologies have been used. Based on the data obtained, interactive maps of urban soil pollution were made. The spatial distribution of seven metals and their metalloids greatly varied from the local anthropic inputs. The results indicate that the highest concentrations of copper, mercury and lead were found in the urban environment. The most polluted areas were located in the city centre and the areas adjacent to industrial zones. The topsoil in this area represents an environmental pollution risk with regards to the elements Cu > Pb > As > Zn > Ni > Hg > Cd. The contents of the risk-type elements in the industrial area were higher than those in other land-use types in the north of city, indicating a considerable risk of metal migration and accumulation to the Neva River, the Gulf of Finland and the groundwater.

scholarly journals Trace Elements in Soils of a Typical Industrial District in Ningxia, Northwest China: Pollution, Source, and Risk Evaluation

2020 ◽  
Vol 12 (5) ◽  
pp. 1868 ◽  
Author(s):  
Songlin Zhang ◽  
Yuan Liu ◽  
Yujing Yang ◽  
Xilu Ni ◽  
Muhammad Arif ◽  
...  
Keyword(s):  
Trace Elements ◽  
Agricultural Land ◽  
Terrestrial Ecosystems ◽  
Industrial Area ◽  
Northwest China ◽  
Pollution Source ◽  
National Standard ◽  
The Sustainable Development ◽  
The North ◽  
Anthropogenic Inputs

Intense industrial activities could result in massive accumulations of trace elements in the soil and risk the terrestrial ecosystems and human health. A total of 119 topsoil samples from a typical industrial area, Huinong District, Ningxia, Northwest China, were collected, and the contents of six trace elements (As, Cd, Cr, Cu, Pb, and Zn) were determined. The results indicated that the mean concentrations of Cr, Cu, Pb, and Zn were lower than the national standard values of class II, while As and Cd were 2.77 and 3.92 times the corresponding threshold values. Multivariate analyses revealed six metals can be categorized into three principal components (PC). PC1 was As, Cd, and Pb, which originated from anthropogenic inputs. PC2 consisted of Cr and Cu, which originated from the natural geological background. PC3 only included Zn and was mainly due to agricultural impacts. The spatial distribution of six metals greatly varied from local anthropic inputs. For As and Cd, the most heavily polluted area was located in the north and southwest parts of the study area, whereas most Zn was enriched in the southern part, which was mainly agricultural land. The topsoil in this area displayed a moderate environmental risk with the metal pollution order of Cd > As > Zn ≈ Cr ≈ Pb ≈ Cu. Moreover, the contents of trace elements in the industrial land and water were relatively higher than those in other land-use types, indicating a considerable risk of metal migration and accumulation to rivers and the groundwater. It is suggested that effective remediation measures for Cd and As, in particular, should be properly employed for the sustainable development of the soil and groundwater, while reducing the risk of elements to the local residents in Huinong District.

Levels and Spatial Distribution of Airborne Chemical Elements in a Heavy Industrial Area Located in the North of Spain

2014 ◽  
Vol 77 (14-16) ◽  
pp. 856-866 ◽  
Author(s):  
J. Lage ◽  
S. M. Almeida ◽  
M. A. Reis ◽  
P. C. Chaves ◽  
T. Ribeiro ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Chemical Elements ◽  
Industrial Area ◽  
The North ◽  
North Of Spain

scholarly journals Time-clustering of wave storms in the Mediterranean Sea

2016 ◽  
Author(s):  
Giovanni Besio ◽  
Riccardo Briganti ◽  
Alessandro Romano ◽  
Lorenzo Mentaschi ◽  
Paolo De Girolamo
Keyword(s):  
Spatial Distribution ◽  
Mediterranean Sea ◽  
Time Scales ◽  
Horizontal Resolution ◽  
North West ◽  
Temporal Sampling ◽  
The North ◽  
Allan Factor ◽  
Long Time ◽  
The Mediterranean

Abstract. In this contribution we identify storm time-clustering in the Mediterranean Sea through the analysis of the spatial distribution of the Allan Factor. This parameter is evaluated from long time series of wave height provided by means of oceanographic buoy measurements and hindcast re-analysis spanning in the period 1979–2014 and characterized by a horizontal resolution of about 0.1 degree in longitude and latitude and a temporal sampling of one hour (Mentaschi et a., 2015). Results reveal clustering mainly for two distinct ranges of time scales. The first range of time scales (12 hrs to 50 days) is associated to sequences of storms generated by the persistence of the same meteorological system. The second range, associated to timescales beteween 50 and 100 days, reveals seasonal fluctuations. Transitional regimes are present at some locations in the basin. The spatial distribution of the Allan Factor reveals that the clustering at smaller time scales is present in the North-West of the Mediterranean, while clustering at larger scales is observed in the whole basin. This analysis is believed to be important to assess the local increased flood and coastal erosion risks due to storm clustering.

scholarly journals SPATIAL DISTRIBUTION, POLLUTION, AND HEALTH RISK ASSESSMENT OF HEAVY METAL IN INDUSTRIAL AREA SOILS OF ULAANBAATAR, MONGOLIA

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 123-133
Author(s):  
P. Oyunbat ◽  
O. Batkhishig ◽  
B. Batsaikhan ◽  
F. Lehmkuhl ◽  
M. Knippertz ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Health Risk ◽  
Soil Pollution ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Industrial Area ◽  
Pollution Level

Abstract. The heavy metal pollution of urban soil of industrial area and its impact on human healths becoming one of the environmental problems in Ulaanbaatar city of Mongolia. The purpose of this study was to determine spatial distribution and health risk of heavy metal pollution in soils surrounding area of leather processing factory and wastewater treatment plants (WWTP) of Ulaanbaatar city. Mapping the spatial distribution of contaminants in soils is the basis of pollution evaluation and risk control. Interpolation methods are extensively applied in the mapping processes to estimate the heavy metal (As, Zn, Pb, Cd, Cr, Cu) concentrations of topsoils. The average concentrations of Cr, Ni, Pb, Zn, Cu and As were 1986.9, 110.5, 111.0, 110.5, 53.5, 16.4 mg/kg, respectively. According to result as the soil pollution index with spatial distribution, a high pollution level for Cr while Zn, Cu and Pb have medium pollution levels. The soil pollution index (PI) values of heavy metals of study areas are, following descending orders Cr > Zn > Cu > Pb > As > Ni. The potential ecological risk of Cr, Cu, Pb, As indicated high ecological risk in the study area. The Hazard index values for almost all the metals were higher than 1, it is indicating a carcinogenic risk for children and adults. The risk index values of two metals (Cr, As) were contribute to a higher risk of development of cancer in humans. Heavy metal contamination can occur when soil particles are swept away from the initial pollution areas by the wind. Therefore, it is necessary to take measures to reduce soil pollution and encourage rehabilitation.

Seasonal and spatial distribution of chaetognaths on the north-west continental shelf of the South China Sea

2014 ◽  
Vol 94 (4) ◽  
pp. 837-846 ◽  
Author(s):  
X. Wu ◽  
K. Li ◽  
L. Huang ◽  
J. Yin ◽  
Y. Tan
Keyword(s):  
Spatial Distribution ◽  
South China Sea ◽  
Continental Shelf ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
North West ◽  
China Sea ◽  
The North ◽  
Region I

The seasonal variation and spatial distribution of chaetognaths were studied based on samples collected from July to August 2006 (summer), December 2006 to January 2007 (winter), and in April 2007 (spring) on the north-west continental shelf of the South China Sea. A total of 19 species of chaetognaths were identified. The average chaetognath abundances (mean ±SD) were 54.0 ± 44.5, 36.8 ±16.7 and 48.9 ± 95.5 ind. m−3 in summer, winter and spring, respectively. Flaccisagitta enflata and Serratosagitta pacifica were the dominant species during the whole sampling period, and F. enflata determined the spatial distribution of total chaetognath abundance. According to the topography and hydrological conditions, the survey area was divided into three sub-regions: inshore waters of the western Guangdong (Region I), inshore waters to the east of Hainan Island (Region II) and offshore waters from the western Guangdong to Hainan Island (Region III). The community structure and abundance distribution of chaetognaths varied significantly between the three sub-regions. The species richness was significantly different among the three sub-regions, with the lowest in Region I and the highest in Region III. The species richness was correlated positively with temperature and salinity. The abundance of chaetognaths was significantly higher in Region I than in both Regions II and III in summer and spring. The increasing food availability caused by the cold eddy, coastal upwelling and the western Guangdong coastal current was able support a greater abundance of chaetognaths during warm seasons on the north-west continental shelf of the South China Sea.

scholarly journals Spatial patterns of preventable perinatal mortality in Salvador, Bahia, Brazil

2017 ◽  
Vol 51 ◽  
Author(s):  
Rita De Cássia de Sousa Nascimento ◽  
Maria Da Conceição Nascimento Costa ◽  
José Uéleres Braga ◽  
Márcio Santos da Natividade
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Perinatal Mortality ◽  
Spatial Dependence ◽  
Social Inequalities ◽  
Vital Statistics ◽  
Spatial Distribution Pattern ◽  
North West ◽  
The North ◽  
The City

OBJECTIVE To identify the spatial distribution patterns and areas of higher risk of preventable perinatal mortality in the city of Salvador, State of Bahia, Brazil. METHODS We carried out a spatial aggregated study in 2007, considering the weighting areas (census tracts contiguous sets) of Salvador, of which the center and north present low life conditions. Data were obtained from national vital statistics systems and the 2010 Census. Addresses of live births and stillbirths were geocoded by weighting area. The spatial distribution of the perinatal mortality rate was analyzed from thematic maps. Spatial dependence was evaluated by the Global and Local Geary’s and Moran’s Indexes. RESULTS Crude and smoothed perinatal mortality rates were high in areas situated to the north, west, and in center of Salvador. The smoothed rates in weighting areas ranged from 4.9/1,000 to 22.3/1,000 births. Of all perinatal deaths, 92.1% could have been prevented. We identified spatial dependence for preventable perinatal mortality for care in pregnancy, with neighboring areas with high risk in the north of the city. CONCLUSIONS The preventability potential of perinatal mortality was high in Salvador, in 2007. The spatial distribution pattern with higher rates in disadvantaged areas of the city suggests the existence of social inequalities in health. The characteristics of the process of urban development of Salvador, which has inadequate prenatal care, possibly influenced the magnitude and spatial distribution pattern of this mortality.

scholarly journals Spatial characteristics analysis of drought disasters in North China during the Ming and Qing Dynasties

2016 ◽  
Author(s):  
Shuoben Bi ◽  
Shengjie Bi ◽  
Changchun Chen ◽  
Athanase Nkunzimana ◽  
Yanping Li ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
North China ◽  
Historical Period ◽  
North West ◽  
Orthogonal Function ◽  
North East ◽  
The North ◽  
Ming And Qing Dynasties ◽  
Characteristics Analysis ◽  
Drought Disaster

Abstract. This paper studies grade sequence of drought disasters in 21 sites in Ming and Qing Dynasties (1470–1912) in North China. Two aspects are explored, in order to study the spatial distribution and characteristics of drought disaster in North China. The reconstruction of the sequence of drought disaster in North China during the Ming and Qing Dynasties was based on Empirical Orthogonal Function (EOF) and on Rotated Empiric Orthogonal Function (REOF). The drought disaster has been divided into several space models and into several sensitive space areas. It can provide an important basis for the better understanding of the spatial distribution of drought disasters in North China during the historical period. The research's results show that: the frequency is high in northern area and is low in southern area of North China. The frequency of drought intensity is high in South-East, low in West China. Meanwhile, the North China can be divided into six main sensitive regions: Middle-east of North China, west of North China, South of North China, East of North China, North-east and North-west of North China.

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