Analysis on Risk Factors and Spatial Variation of Pollution Sources in Urban Areas
Abstract
In this paper, two mathematical models are used to discuss the impact of urban pollutants on human living environment,
and it is concluded that pollutants are the main cause of environmental pollution and have no direct relationship with pollution
sources. Through the data of human health indicators and fitting the data sets of the two models, we want to investigate whether there
are any variables related to the increase of skin cancer risk and whether the increase of cancer risk is related to the distance from
coal-fired power stations in the Slovakian town of Novaky. In this work, we comparing two models, it indicates that environmental
and urinary arsenic have significant impact on the cancer risk, but the spatial location cannot be consider as a direct factor on nonmelanoma skin cancer.. By comparing both models, it indicates that environmental and urinary arsenic have significant impact on
the cancer risk, but the spatial location can not be consider as a direct factor on non-melanoma skin cancer. The project case, the
specific planning and engineering design, should focus on strengthening the control of the pollution source, rather than merely
considering spatial layout of pollutants.
and it is concluded that pollutants are the main cause of environmental pollution and have no direct relationship with pollution
sources. Through the data of human health indicators and fitting the data sets of the two models, we want to investigate whether there
are any variables related to the increase of skin cancer risk and whether the increase of cancer risk is related to the distance from
coal-fired power stations in the Slovakian town of Novaky. In this work, we comparing two models, it indicates that environmental
and urinary arsenic have significant impact on the cancer risk, but the spatial location cannot be consider as a direct factor on nonmelanoma skin cancer.. By comparing both models, it indicates that environmental and urinary arsenic have significant impact on
the cancer risk, but the spatial location can not be consider as a direct factor on non-melanoma skin cancer. The project case, the
specific planning and engineering design, should focus on strengthening the control of the pollution source, rather than merely
considering spatial layout of pollutants.
Keywords
Analysis; Risk factors; Spatial Variation; Pollution Sources; Urban Areas
Full Text:
PDFReferences
[1] Ahmed,N., Bodrud-doza,M., Islam,A.R.M.T., Hossain,S., Moniruzzaman,M. et al. . (2019).
[2] Appraising Spatial Variations of As, Fe, Mn and No 3 Contaminations Associated Health Risks of Drinking Water From Surma Basin, Bangladesh. Chemosphere, 218.
[3] Bodrud-doza,M., Islam,A.T., Ahmed,F., Das,S., Saha,N. et al. . (2016). Characterization of Groundwater Quality Using Water Evaluation Indices, Multivariate Statistics and Geostatistics in Central Bangladesh. Water Science, 30(1).
DOI: https://doi.org/10.18282/l-e.v10i3.2406
Refbacks
- There are currently no refbacks.
