Heavy metal concentrations and pollution assessment of riparian soils in Shandong Province

Ju, 张菊 Zhang; Shiyue, 陈诗越 Chen; Huanguang, 邓焕广 Deng; Aiqin, 吴爱琴 Wu; Weibo, 孙卫波 Sun; Yingying, 陈影影 Chen

doi:10.5846/stxb201104060443

Cited by 5 publications

(3 citation statements)

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“…The difference in the regional distribution and pollution degree of heavy metals can be reflected by the coefficient of variation (CV). Higher CV value usually led to greater difference of the sampling site compared with the overall study area [30,31] . The CV values of the seven heavy metals in tea plantation soils ranked as As > Cd > Hg > Cr > Zn > Pb > Cu ( Table 1).…”

Section: Figure 2 Frequency Histograms Of Heavy Metal Concentrations mentioning

confidence: 99%

Assessing heavy metal pollution and potential ecological risk of tea plantation soils

Zhao

Yan

Duan

et al. 2019

International Journal of Agricultural and Biological Engineering

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Accumulation of heavy metals in agricultural soils tends to increase crop uptake of heavy metals, and can adversely impact human health through food chains. This study assessed the heavy metal pollution status and the potential ecological risk of tea plantation soils in southern Shaanxi Province, China. A total of 330 topsoil samples were collected to analyze the concentrations of seven heavy metals (Pb, Zn, Cu, Cr, Hg, As and Cd) and the pH level. The Hakanson potential ecological risk index was used based on the background levels of soil heavy metals in Shaanxi. Results showed that the averaged concentrations of soil Pb, Zn, Cu, Cr, Hg, As, and Cd were 10.0, 87.6, 16.4, 12.4, 0.2, 6.9 and 0.1 mg/kg, respectively. Cd and Hg concentrations exceeded level II of China's Soil Environment Quality Standard (GB 15618-2009) in 9.3% and 7.0% of the total samples, respectively. The coefficient of variation ranged from 29.2% to 52.2% for different elements, and was 49.3% for Cd and 48.6% for Hg. The averaged comprehensive potential ecological risk index was 95.4, and the overall potential ecological risk was low, with 82.4% of the total samples at a low level of potential ecological risk. Cd and Hg contributed most to the potential ecological risk (35.5% and 46.5%, respectively), and the risks associated with other elements were relatively minor. This study suggested that soil Cd and Hg pollution should be controlled to ensure the safe production of tea in the study area.

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Section: Figure 2 Frequency Histograms Of Heavy Metal Concentrations mentioning

confidence: 99%

Assessing heavy metal pollution and potential ecological risk of tea plantation soils

Zhao

Yan

Duan

et al. 2019

International Journal of Agricultural and Biological Engineering

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“…The sediment pollution degree was specified by determining the single-factor pollution index and Nemerow's integrated pollution index [40]. In particular, the combination of the two factors has been used in various research to assess heavy metal pollution [47,48]. The two indices can be calculated using Equations ( 3) and ( 4):…”

Section: Data Analysesmentioning

confidence: 99%

A Relevant Characterization and Compatibility for Reuse the Sediments from Reservoirs in Southern Italy

Martellotta,

Levacher,

Gentile

et al. 2024

Applied Sciences

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The damming of watercourses results in sediment accumulation and, therefore, in the reduction of useful storage capacity. The storage capacity can be recovered through dredging, but this process generates large volumes of sediments that require proper management. To avoid landfilling and promote recovery operations, sediment characterization is the preliminary step to any assessment and decision. This paper presents the results of tests on sediments sampled at two reservoirs in southern Italy, the Camastra and the San Giuliano, in Basilicata. These investigations include testing of organic matter, heavy metals grain size distribution, and the assessment of the pollution degree. A lack of correlation between the sampling point and the heavy metal content was observed in sediments, except Be, Cr and Ni for the San Giuliano reservoir. This may be attributed to the presence of agricultural activities and fertilizer use in its watershed. Similarly, there is no dependence between the organic carbon and the grain size distribution, the former being scarcely found in both reservoirs (on average 0.91% for the Camastra sediments and 0.38% for the San Giuliano sediments), the latter being predominantly characterized by sandy matrices downstream of the reservoirs (on average 64.3% ± 32.9%) and by silty-clayey matrices in the upstream areas (on average 65% ± 14.3%). Finally, the determination of the single pollution index Pi and the Nemerow integrated pollution index PN highlights that sediments are not contaminated with heavy metals. Most of them show values of the indices above between 0 and 1 (“unpolluted”) and, in a few cases, values between 1 and 2 (“poorly polluted”). The findings suggest that these sediments can be reused for environmental and material recovery, using them as secondary raw materials for sub-bases and embankments, for filling in disused quarries, for reprofiling and reconstructing the morphology of coastlines or riverbeds, for beach nourishment and in the agronomic and construction industry fields.

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“…Especially in recent years, the amount of monitoring data increases exponentially, but the corresponding information system construction is relatively lagging behind. Recently, many scholars have done a great deal of research, including: safety evaluation [3], monitoring and early warning [4], regulatory policy [5], but the above work is mainly focuses on theoretical research, but few applied research, especially the lack of research about the portable information acquisition system or equipment for agricultural origin safety.…”

Section: Introductionmentioning

confidence: 99%

An Information Acquisition System for Agricultural Product Origin Safety Based on Android Smartphone

Pan¹,

Wang²,

Wang³

et al. 2017

dtetr

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Currently, the data acquisition method for agricultural product origin safety is still lagging behind, thus it is difficult to upload the monitoring data in a timely and convenient way. An information acquisition system for agricultural product origin safety based on Android smartphone was developed. The design of the information acquisition system was based on the C/S architecture, including smartphone APP and server-side software. The smartphone APP can achieve the rapid positioning of the monitoring point, data correction, real-time data transmission and automatic archiving. Demonstration results show that the system has the characteristics of convenient collection, rapid transmission and high efficiency compared with the traditional data acquisition mode. The system is suitable for the data acquisition of grassroots agricultural environmental monitoring station, and it can effectively improve the information acquisition efficiency for agricultural product origin safety, which is helpful to improve the management level of the agricultural product origin safety.

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Heavy metal concentrations and pollution assessment of riparian soils in Shandong Province

Cited by 5 publications

References 0 publications

Assessing heavy metal pollution and potential ecological risk of tea plantation soils

Assessing heavy metal pollution and potential ecological risk of tea plantation soils

A Relevant Characterization and Compatibility for Reuse the Sediments from Reservoirs in Southern Italy

An Information Acquisition System for Agricultural Product Origin Safety Based on Android Smartphone

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