Environmental Risk Evaluation and Source Identification of Heavy Metal(loid)s in Agricultural Soil of Shangdan Valley, Northwest China

Kabaoğlu

et al. 2021

Environ Sci Pollut Res

In the present study, the concentration levels of heavy metals such as Mn, Fe, Ni, Cu, Zn, Cr and Pb in sediment samples collected from 16 sampling locations in the Middle and Eastern Black Sea regions, Turkey was measured using energy dispersive X-ray fluorescence spectroscopy (EDXRF). Various pollution parameters and methods, such as the enrichment factor (EF), geo-accumulation index (Igeo), contamination factor (CF), pollution load index (PLI), ecological risk index (RI), and geo-spatial distribution patterns were used to assess in detail the pollution status, ecological risks and sources of metals in sediment. The mean

Section: Discussionmentioning

confidence: 99%

Evaluation of ecological risk, source, and spatial distribution of some heavy metals in marine sediments in the Middle and Eastern Black Sea region, Turkey

Kabaoğlu

et al. 2021

Environ Sci Pollut Res

“…Anthropogenic sources, rather than natural sources, contribute most heavy metals to agricultural soils. Metal smelting highly affected Cu, Pb, Zn and As in the agricultural soil of the Shangdan Valley, Northwest China 11 . Vehicle exhaust is one of the main anthropogenic sources of heavy metals in agricultural highway soils in Jordan 12 .…”

Section: Introductionmentioning

confidence: 99%

Driving factors on accumulation of cadmium, lead, copper, zinc in agricultural soil and products of the North China Plain

Zheng

Bai

Gao³

et al. 2023

Sci Rep

The accumulation of heavy metals in agricultural soils concerns food security. By using the Geographical Detector, this study investigated the influence of six types of factors (eleven factors) on the accumulation of Cd, Pb, Cu, Zn in agricultural soil and products of the North China Plain and confirmed the dominant factor. The results showed that heavy metals had accumulated in regional agricultural soils and the accumulation of Cd was severe. The accumulation of heavy metals was significantly influenced by policy factors (the management and reduction in usage of fertilizers and pesticides), fertilization factors (application of organic and chemical fertilizers), pesticide factors (application of herbicide and insecticide) and atmospheric deposition factors (heavy metal concentration in atmospheric deposition). The policy factor dominated the other three types of factors. Atmospheric deposition and the excess application of fertilizers and pesticides directly lead to the accumulation of heavy metals. Due to the high concentrations of heavy metals and abundant application amounts, organic fertilizers have contributed high levels of heavy metals to agricultural soils. This study suggests that formulated fertilization and action plans for pesticide reduction could effectively decrease the accumulation of heavy metals in agricultural soils and products in the study area.

“…With the introduction of new technology, quantitative research on CLQ evaluation has made great progress. The relatively mature methods and models embody the agroecological zones (AEZ) Wageningen model [40,41], modified method [42], Nemerow comprehensive pollution index method [43], fuzzy comprehensive evaluation method [44,45], plot method [46], and triangle model [47]. At present, most studies adopt multifactor comprehensive evaluation method to evaluate cultivated land or cultivated soil quality by selecting indicators from soil conditions and natural environment factors, and put forward a series of specific measures to improve CLQ.…”

Section: Introductionmentioning

confidence: 99%

Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province

Zhao

et al. 2021

Sustainability

Under the task requirements of China’s 3rd national land survey on the grade determination of cultivated land, research on a reasonable and unified survey and evaluation system of cultivated land quality (CLQ) is of great importance. From the three dimensions of agricultural climate, production potential, and health status components of cultivated land, six factors are selected in this study to construct a set of simple, practicable, and operable county-level CLQ survey and evaluation system. These factors are climate conditions of cultivated land, soil characteristics, tillage conditions, the attributes of cultivated land type, environmental conditions, and biological activity. The developed survey and evaluation system meets the demands of national engineering for the inclusion and coordination of multiple departments based on the current evaluation system and evaluation methodology of all relevant land administrative departments. Wen County, Henan Province is used for field verification and evaluation. Results demonstrate that the average quality index of cultivated land in Wen County is 2196.33, ranging from 660.70 to 2802.96 with the largest area of the first-class and second-class land accounting for 20.98% and 52.61% of the county’s cultivated land, respectively; the third-class and fourth-class land, 12.63% and 13.78%. The obvious regional differentiation characteristics are presented along the boundary of Qingfengling with the quality of northern cultivated land higher than that in the south. The comparison with the results of the national utilization gradation in 2018 infers that they are in accordance with the distribution of CLQ, which bears a significant positive correlation trend with the measured grain output of the field. The constructed evaluation system serves as a rewarding attempt of a unified survey and evaluation of CLQ at the county scale to reflect the production capacity of local crops, realize the sharing of data platforms, save manpower and capital investment, improve the practical connection of supervision and management of cultivated land protection in different departments, and meet the requirements of current cultivated land protection and management.