Source identification of chromium in the sediments of the Xiaoqing River and Laizhou Bay: A chromium stable isotope perspective

He, Xiaoyun; Chen, Guojun; Fang, Zhongqing; Liang, Weida; Li, Boda; Tang, Jianhui; Sun, Yuting; Qin, Liping

doi:10.1016/j.envpol.2020.114686

Cited by 27 publications

(5 citation statements)

References 51 publications

(76 reference statements)

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“…Cr isotopes were analyzed in the same laboratory followed the protocol described in He et al. (2020). Cr isotopic ratios are expressed as permil variation relative to the National Institute of Standards and Technology (NIST) Standard Reference Material 979: δ 53 Cr = 1000 × [( 53 Cr/ 52 Cr) sample /( 53 Cr/ 52 Cr) SRM979 − 1]‰.…”

Section: Sampling and Methodsmentioning

confidence: 99%

Early Prosperity of Iron Bacteria at the End of the Paleoproterozoic Era

Qiu

Qin

Huang

et al. 2022

Geophysical Research Letters

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Various iron formation (IFs) document the interplay between the geosphere and the early biosphere during their co‐evolution. At the transition between the Paleo‐ and Mesoproterozoic eras, the oxidation of the atmosphere and ocean resulted in the waning of the typical marine deposited banded IFs. Here, we report the ∼1.7 Ga Yunmengshan IF at the southern margin of the North China Craton deposited in the intertidal to upper subtidal zone belonging to river delta of coastal environments. The combined REE + Y patterns and negative δ56Fe with positive δ53Cr values reveal terrestrial precipitation of iron oxide and an enhanced continental oxidative weathering at the end of Paleoproterozoic era due to increased atmospheric oxygen level. The oxygen level happened to have facilitated the early prosperity of microaerophilic Fe(II)‐oxidation bacteria on Earth's terrestrial surface, which is recorded by the coastal shallow water iron deposits globally characterized by their small scale and subaerial features.

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Section: Sampling and Methodsmentioning

confidence: 99%

Early Prosperity of Iron Bacteria at the End of the Paleoproterozoic Era

Qiu

Qin

Huang

et al. 2022

Geophysical Research Letters

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“…The sediments samples were collected from (30) sampling stations at Sirwan River Banks, figure (1) and table (1). The sampling stations were localized by using GPS device, and were conducted in December 2021.…”

Section: Sampling and Analysismentioning

confidence: 99%

Contamination by Heavy Metals in the Sediments of Sirwan/Diyala River, Garmian Region

Sarhat

Al-Obaidi

2023

IOP Conf. Ser.: Earth Environ. Sci.

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This research was conducted to evaluate the contamination of some heavy metals including (Cadmium, Cupper, Lead, Nickel, Zink, Cobalt and Chromium) in the sediments of Sirwan/Diyala River. Sampling was conducted in different sites within the river banks, and four indices/factors including ecological risk factor (ER), enrichment factor (EF), contamination factor (CF), and geo-accumulation factor (Igeo) were used for this purpose. The result indicated that the concentrations of the observed metals were with the following order: Ni>Cr>Zn>Pb>Co>Cu>Cd. The values of enrichment factor were ranged from low of Co with a value of (EF = 1.12) to significant enrichment of Ni (EF = 9.13). However, the values of contamination factor indicated low contamination of sediments by Cu, Cd, Pb, Co and Zn with mean values of (0.74), (0.46), (0.49), (0.85) and (0.24) respectively, to significant contamination by Ni and Cr with mean values of (2.4) and (1) respectively. In terms of ecological risk factor, the average values of (Er) of all the observed elements were under low ecological risk category. The values of (Igeo) index for Cd, Pb, Cu, Zn and Co were under (unpolluted) category; while, Ni was under (unpolluted to moderate) category with a mean value of (0.61) and Cu fall under moderate category with a mean value of (1.04).

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“…The distribution of this part of the load shows extremely high spatiotemporal discreteness. Due to the self-purification ability (Cook et al 2020, He et al 2020) of the water bodies, extensive human and material resources are not required to control this pollutant load.…”

Section: Preferred Hierarchical Control Strategies For Npsmentioning

confidence: 99%

Preferred Hierarchical Control Strategy of Non-Point Source Pollution at Regional Scale

Wen¹,

Zhuang

Zhang³

et al. 2021

Preprint

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Non-point source (NPS) pollution has wide range of sources. Under rainfall conditions, NPS pollution occurs mainly by overland flow, resulting in difficult governance. In this study, based on the cooperative analysis of critical periods (CPs) and critical source areas (CSAs), a preferred hierarchical control strategy of NPS pollution, which was connected with management units, was proposed in the Danjiangkou Reservoir Basin (DRB) to improve the pertinence of NPS pollution control. The practicality of the grid-based CSA identification results was improved by point density analysis (PDA). CPs, sub-CPs, and non-CPs were identified on the temporal scale; CSAs, sub-CSAs and non-CSAs were identified on the spatial scale. The results showed that CPs (July, April, and September), sub-CPs (May, March, and August), and non-CPs contributed 62.8%, 31.1%, and 6.1% of the annual TP loads, respectively. Furthermore, we proposed a hierarchical NPS pollution control strategy: class Ⅰ (CSAs in CPs) → class II (sub-CSAs in CPs, CSAs in sub-CPs) → class III (non-CPs, non-CSAs, sub- and non-CSAs in sub-CPs). Class Ⅰ covered the periods and areas with the highest NPS pollution loads, contributing 26.2% of the annual load within 14.5% of the area and 25.0% of the time. This study provides a reference for the targeted control of NPS pollution at regional scale, especially in environmental protection with limited funds.

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Source identification of chromium in the sediments of the Xiaoqing River and Laizhou Bay: A chromium stable isotope perspective

Cited by 27 publications

References 51 publications

Early Prosperity of Iron Bacteria at the End of the Paleoproterozoic Era

Early Prosperity of Iron Bacteria at the End of the Paleoproterozoic Era

Contamination by Heavy Metals in the Sediments of Sirwan/Diyala River, Garmian Region

Preferred Hierarchical Control Strategy of Non-Point Source Pollution at Regional Scale

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