Source specific sedimentary response towards the differential anthropogenic impacts in terms of potentially toxic elements in an urban river

To investigate the interplay between varying anthropogenic activities and sediment dynamics in an urban river (Turag, Bangladesh), this study involved 37-sediment samples from 11 different sections of the river. Neutron activation analysis and atomic absorption spectrometry were utilized to quantify the concentrations of 14 metal(oid)s (Al, Ti, Co, Fe, As, Cd, Cr, Cu, Fe, Hg, Mn, Ni, Pb, Zn). This study revealed significant toxic metal trends, with Principal coordinate analysis explaining 62.91 % of the variance from upstream to downstream. The largest RSDs for Zn(287 %), Mn(120 %), and Cd(323 %) implies an irregular regional distribution throughout the river. The UNMIX-model and PMF-model were utilized to identify potential sources of metal(oid)s in sediments. ∼63.65-66.7 % of metal(oid)s in sediments originated from anthropogenic sources, while remaining attributed to natural sources in both models. Strikingly, all measured metal(oid)s' concentrations surpassed the threshold effect level, with Zn and Ni exceeding probable effect levels when compared to SQGs.

Combination of UNMIX, PMF model and Pb-Zn-Cu isotopic compositions for quantitative source apportionment of heavy metals in suburban agricultural soils

Quantitative identification of heavy metals (HM) sources in soils is key to prevention and control of heavy metal pollution. In this study, UNMIX, PMF (Positive matrix factorization) model and Pb-Zn-Cu isotopic compositions were combined to quantitatively identify heavy metal sources in a suburban agricultural area of Kaifeng, China. Using multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS) and ICP-MS, we measured Pb, Zn and Cu stable isotopic compositions, HM concentrations and HM chemical fractions in studied soils, as well as potential sources around the highly polluted site, including total suspended particle, compound fertilizer, irrigated river water and sediments. The results showed that total contents and chemical fractions of heavy metals, as well as Pb-Zn-Cu isotopic compositions presented great variation in different sites, which implied that heavy metal accumulation was obviously affected by local anthropogenic pollution source. UNMIX and PMF presented good agreement on source apportionment that industrial and agricultural activities (61.74% and 60.75% for UNMIX and PMF, respectively) were the major contributors to heavy metal accumulation in the study area. Especially, sewage irrigation and atmosphere deposition accounted for a large proportion (28.14% and 41.03% for UNMIX and PMF, respectively). Moreover, isotopic compositions of Pb, Zn and Cu in highly polluted soils and environment media gave further confirmation that sewage irrigation and atmosphere deposition were primary anthropogenic source. Therefore, combination of UNMIX, PMF model and Pb-Zn-Cu isotopic compositions showed good coordination in quantitative and specific source identification of heavy metals in agricultural soils.

[Using the Matter-Element Extension Model to Assess Heavy Metal Pollution in Topsoil in Parks in the Main District Park of Lanzhou City]

The UNMIX model was used to analyze the source of heavy metals found to be present in the topsoil of parks in the main district of Lanzhou City. The Hakanson toxicity response coefficient was used concurrently to modify the traditional weights in the model, and the matter-element extension model was used to evaluate heavy metal pollution. The results of the evaluation were compared with the comprehensive pollution index (P_N) and potential ecological risk index (RI). The results were as follows. ①The average heavy metal content in the topsoil at each sampling point was higher than that of the background value of soil in Lanzhou, with the proportion of Ni, Cu, and Co being 100% while the proportion of Cr, V, Pb, and As contents were 58.82%, 14.71%, 20.59%, and 2.94%, respectively. ② The results of source analysis showed that there were three major sources of heavy metal pollution in the topsoil of the parks in the study area. Source 1 is construction pollution, which contributes 56% of the Co present. Source 2 is traffic pollution, which contributes 44% and 52% of Cu and Pb, respectively. Source 3 is natural, and contributes 62%, 60%, 56%, and 56% of V, Cr, Ni, and As, respectively. Thus, this research showed that natural sources are predominant. ③ The weight correction effect for each heavy metal was significant; there was an approximately 44% reduction in both Cr and V, while the corrected weights of Ni, Cu, Pb, As, and Co increased in the order Co < Pb < Cu < Ni < As compared with the conventional weights. The most obvious change in weight was that of As, which increased by approximately 188%. ④ The results of the evaluation using the matter-element model showed that the state of 46% of the topsoil in the parks in the study area was grade Ⅴ (severely polluted), while 41% was grade Ⅳ (moderately polluted) and 3% was grade Ⅲ (lightly polluted); Co was the main pollutant. The results of the model evaluation were roughly the same as of from the P_N and RI, indicating that the matter-element extension model can be used to evaluate heavy metal pollution in soil and the evaluation results are accurate and objective.

[Source Apportionment of Heavy Metals in Farmland Soils Around Mining Area Based on UNMIX Model]

Forty-two farmland soil samples were collected from the mining area of Huize City, Yunnan Province, to identify the sources of metals in the farmland soils, and 14 selected elements in farmland soils were detected. The UNMIX model was applied to identify the sources of the metals. The inverse distance weighted interpolation method of statistical analysis in ArcGIS was used to develop a spatial distribution map of the six severely polluted metals to validate the source apportionment results of the UNMIX model. The results indicated that:① the metals, Pb, Zn, and Cd, in the studied farmland soils were seriously polluted according to the soil background values of Yunnan Province and the Chinese environmental quality standard; ② there were three potential sources of metals according to UNMIX model:source 1 was the anthropogenic sources caused by industrial activities with a source contribution rate of 16.32%; source 2 was the anthropogenic sources caused by coal combustion and fertilization with a source contribution rate of 68.26%; and source 3 was the combined sources caused by mining related activities and soil parent materials with a source contribution rate of 15.42%; and ③ the spatial distribution of selected metals was in accordance with the local land-use and the results of the UNMIX model. Therefore, the UNMIX model can be effectively applied to the source apportionment of heavy metals in farmland soils around the mining area.