Estimating Spatial Distribution and Mapping Risk Element Pollution in Urban Agricultural Land of Nhi Binh Area, Ho Chi Minh City, Vietnam

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Year:
2020
Type of Publication:
Article
Keywords:
Soil Pollution, Heavy Metals Concentration, GIS Technique, Kriging Interpolation
Authors:
Tran, Tuan Quang; Chou, Tien Yin; Chen, Mei Hsin; Hoang, Van Thanh; Pham, Tuan Nhi; Danh, Mon; Tung, Luu Hai
Journal:
IJRAS
Volume:
7
Number:
3
Pages:
124-131
Month:
May
ISSN:
2348-3997
Abstract:
In recent years, heavy metal contamination in urban agricultural soils has been raised as a serious environmental problem and call significant concerns due to rapid urbanization and industrialization. In urban conditions, agricultural land actually is very important variables in both economic and social way. In order to evaluate the current state of quality in urban agricultural soil of Nhi Binh, HCMC, Vietnam, the concentrations of 3 heavy metals: Cu, Pb and Zn has been investigated in this study. A surveying was conducted to collect soil samples from the fields. The results showed that the heavy metal concentrations in agricultural soils of Cu (8.08 – 69.57 mg/kg) and Pb (0 – 27.13 mg/kg) were lower the allowed thresholds. However, the concentration of Zn (0 – 272.5 mg/kg) was much higher than the limit (200 mg/kg). This concentration exhibits a pollution risk in the study area. Farming practices; the usage of fertilizer and pesticides corporate with urban and industrial waste have been considered as the main causes of increasing and changing heavy metals concentrations in soil in case of the study area. In this study, Geostatistics and Geographic Information System (GIS) were employed for estimating and mapping the spatial distribution of risk element pollution in the studied area. The identification of heavy metal concentration and its spatial distribution may provide a basis for taking appropriate action to protect agricultural soil quality in the study area. The results can be used as a reference data source for researcher and environment organizers in planning effectively policies to protect the region’s agricultural soil from long-term heavy metal accumulation.

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