Assessment and mapping of environmental quality in agricultural soils of Zhejiang Province, China. J Environ Sci China

Institute ofAgricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029, China.
Journal of Environmental Sciences (Impact Factor: 1.92). 02/2007; 19(1):50-4. DOI: 10.1016/S1001-0742(07)60008-4
Source: PubMed

ABSTRACT Heavy metal concentrations in agricultural soils of Zhejiang Province were monitored to indicate the status of heavy metal contamination and assess environmental quality of agricultural soils. A total of 908 soil samples were collected from 38 counties in Zhejiang Province and eight heavy metal (Cd, Cr, Pb, Hg, Cu, Zn, Ni and As) concentrations had been evaluated in agricultural soil. It was found 775 samples were unpolluted and 133 samples were slightly polluted and more respectively, that is approximately 14.65% agricultural soil samples had the heavy metal concentration above the threshold level in this province by means of Nemerow's synthetical pollution index method according to the second grade of Standards for Soil Environmental Quality of China (GB15618-1995). Contamination of Cd was the highest, followed by Ni, As and Zn were lower correspondingly. Moreover, Inverse Distance Weighted (IDW) interpolation method was used to make an assessment map of soil environmental quality based on the Nemerow's pollution index and the soil environmental quality was categorized into five grades. Moreover, ten indices were calculated as input parameters for principal component analysis (PCA) and the principal components (PCs) were created to compare environmental quality of different soils and regions. The results revealed that environmental quality of tea soils was better than that of paddy soils, vegetable soils and fruit soils. This study indicated that GIS combined with multivariate statistical approaches proved to be effective and powerful tool in the mapping of soil contamination distribution and the assessment of soil environmental quality on provincial scale, which is beneficial to environmental protection and management decision-making by local government.

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Available from: Zhou Shi, Feb 14, 2015
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    • "The topsoils (0–20 cm) were collected using a soil corer. A total of 5 soil cores were collected at each grid node within a 2-m square area following the quincunx-sampling method (Cheng et al., 2007): four cores were collected from the four corners and one from the center of the square. All five cores were bulked together to prepare a composite sample for laboratory analysis. "
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    ABSTRACT: In the recent past, much of the marshland in China has been reclaimed for agriculture and to create urban buffer zones. Information about the variability of soil properties (e.g. salinity) in these reclaimed areas is mostly limited, but is crucial for improving agricultural production as well as sustaining their environmental benefits. Characterization of variations in soil salinity and their correlation with other soil properties at different scales can improve the use of these reclaimed areas, as well as assess the efficacy of the reclamation process. In this study, we examined variations in soil salinity at different directions using anisotropic analysis (AA) and separated the variations at different scales using empirical mode decomposition (EMD). The AA identified two pairs of major and minor axes along which variations in soil salinity were dominant. The EMD separated the variations in soil salinity along these axes into six intrinsic mode functions according to the dominant scales of variations. The importance of these scale components were assessed based on their percent variance contribution towards the overall variance. Large variations in soil salinity were observed mainly at 200–500 m and 3500–4500 m scales. The scale-specific variations in soil salinity and their correlation with other soil properties were direction-specific. A strong correlation between the large scale components of soil salinity (N 5 km) and soil total nitrogen and clay content were identified along the directions from inland to the ocean. This may be attributed to the distance from the ocean as well as the length of time for which reclaimed land has been cultivated. Information about this variability at different scales and directions acquired by combining AA and EMD provided a unique way to characterize reclaimed lands for agricultural or environmental use. This information will be helpful in developing future sampling strategies and preparing detailed digital soil maps for improved management decisions.
    Catena 08/2015; 131:64-73. DOI:10.1016/j.catena.2015.03.011 · 2.48 Impact Factor
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    • "Phytotoxicity will not only result in reduction of food quality but may also result in food insecurity by reducing cultivatable land.[1] The critical environmental challenges posed by heavy metal pollution have therefore received serious attention in both developed and developing economies around the world.[2] Soil contamination in the areas around industrial regions is of great concern.[3] "
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    ABSTRACT: This paper reports the quantitative estimation of heavy metals contamination in the soil, around the power station, by laser-induced breakdown spectroscopy (LIBS). Soil samples were collected from various distances (200–1000 m) and depths (10–50 cm) in the vicinity of the Iskandar power station in Johor, Malaysia. Samples were dried and pelletised prior to excitation. A Q-switched Nd:YAG laser was employed to ablate the sample and MayaPro spectrometer (Ocean Optics) for recording the emission spectrum of laser-induced plasma. Pb, Fe, Ni and Cu concentrations were estimated in the polluted soil with repeatability rate of above 96%. Quantitative results of LIBS were validated by flame atomic absorption spectroscopy (FAAS) and were found in good agreement. The concentration of the detected heavy metal elements was found within the safety limits set by Department of Environment (DOE) of Malaysia and the European standards.
    Chemistry and Ecology 05/2015; 31(4). DOI:10.1080/02757540.2014.961436 · 1.18 Impact Factor
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    • "For the assessment and quantification of the level of contamination in the necrosols, Nemerow Pollution Index was utilized. The respective numerov pollution index was calculated across the site, as suggested in the work of Gong et al. (2008) and Cheng et al. (2007). The Nemerow pollution index (PI Nemerow ) is calculated using the formula below: "
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    ABSTRACT: Necrosols are a unique category of anthropogenic soils that are associated with excavated cemeteries or graveyards. In spite of the growing number of cemeteries and burial sites found across urban and rural areas globally, scientific information regarding the contamination potential of this category of soils is relatively scarce and not properly understood. The purpose of this study is to fill this gap by assessing the contamination significance of trace metal contents in the necrosols associated with two excavated mass graves in Rwanda. For this preliminary geochemical investigation, cemetery soil samples were collected from two excavated mass graves in the Murambi memorial site, Rwanda, and analyzed for trace and major element concentrations. The enrichment factor (EF), chemical index of alteration (CIA), and contamination status of necrosol samples was determined in comparison with the offsite area. The results revealed that the average EF values for both onsite and offsite samples were generally within the class of natural background with only six onsite samples having higher EF values than the offsite or background area. Possible reasons for the progressive depletion of the selected trace element onsite are the relatively low anthropogenic activities and higher weathering intensity of the necrosols in comparison with the background area over time. Even though the mean onsite CIA values for the necrosols were slightly higher than the background area, the index further confirmed that both the necrosols and offsite samples were significantly altered to kaolinic degree. From the resulting pollution index values (PI Nemerow), it can be inferred that the Murambi necrosols were within the range of 0.84 and 1.82, corresponding to the precaution and slightly polluted domain. The current contamination status of the necrosols is likely to have been caused as a result of the anthropogenic input of Cr and Pb onsite relative to the offsite area.
    Soil and Sediment Contamination 09/2013; Volume 23(Issue 2):144-165. DOI:10.1080/15320383.2013.786021 · 0.58 Impact Factor
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