The new fate of MCLR revealed by dialysis equilibrium and theoretical calculations: Influence from DOM and Fe(II)/Mn(II) DOI

Haishuo Wang,

Jie Zhang, Zhichun Li

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(6), P. 114671 - 114671

Published: Nov. 4, 2024

Language: Английский

Difference analysis of organic matter-mediated heavy metal pollution in the sediments of urban water bodies DOI
Wenzhong Tang,

Liu Sun,

Zhu Yu-feng

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 968, P. 178747 - 178747

Published: Feb. 17, 2025

Language: Английский

Citations

2
Heavy metals in centralized drinking water sources of the Yangtze River: A comprehensive study from a basin-wide perspective DOI

Kunfeng Zhang,

Sheng Chang,

Xiang Tu

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 469, P. 133936 - 133936

Published: March 2, 2024

Language: Английский

Citations

13
Labile dissolved organic matter (DOM) and nitrogen inputs modified greenhouse gas dynamics: A source-to-estuary study of the Yangtze River DOI
Jiarui Li,

Enhang Liang,

Chunfang Deng

et al.

Water Research, Journal Year: 2024, Volume and Issue: 253, P. 121318 - 121318

Published: Feb. 15, 2024

Language: Английский

Citations

10
Effect of low-carbon coal gangue on the stability and dissolved organic matter characteristics of co-pyrolysis biochar: insights on pyrolysis temperatures and minerals DOI Creative Commons
Ming Chen,

Yuan Sun,

Yaqi Peng

et al.

Carbon Research, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 3, 2025

Abstract The stability and dissolved organic matter (DOM) characteristics of biochar have an essential effect on carbon emission migration transformation pollutants. In this work, straw coal mine waste (coal gangue)-straw co-pyrolysis were produced at 300, 450, 600 °C. effects gangue biochar's stability, structure, the components biochar-derived DOM investigated. results showed that enhanced thermal chemical by 1.16%–8.25% 39.17%–68.36%, respectively. They also promoted aromatization process when pyrolysis temperature increased from 300 to 450 content was lower than 35.79%–55.52%, indicating inhibited release DOM. Moreover, humification degree low temperatures but accelerated decomposition aromatic molecules in high temperatures. proportion low-aromatic humic-like substance 1.28% 50.87% 1.44% 88.14% with increasing temperature. Thus, a synergistic controlling biochar. three primary minerals (SiO 2 , Al O 3 Fe ) is core mechanisms impacting characteristics. This work provides information for applications showing adding can boost modify molecular properties Graphical

Language: Английский

Citations

1
Exploring the mechanisms of organic fertilizers on Cd bioavailability in rice fields: Environmental behavior and effect factors DOI Creative Commons
Jingbin Liu, Wentao Yang,

Hang ZHOU

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 285, P. 117094 - 117094

Published: Sept. 23, 2024

Language: Английский

Citations

8
Spectroscopic insights into the binding characteristics of heavy metals to dissolved organic matter in landfill leachate DOI

Shengzi Duan,

Peng Li, Wei Chen

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 352, P. 141433 - 141433

Published: Feb. 9, 2024

Language: Английский

Citations

7
Revealing spatial-temporal impact of industrial effluent towards DOM in Riverine employing PARAFAC and MW-2D COS DOI

Zi Yu Lin,

Kwang Hee Lee,

Juin Yau Lim

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(5), P. 113412 - 113412

Published: June 27, 2024

Language: Английский

Citations

5
Interaction of heavy metals and polycyclic aromatic hydrocarbons in soil-crop systems: the effects and mechanisms DOI

Shijing Li,

Zhenmao Jiang, Shiqiang Wei

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 263, P. 120035 - 120035

Published: Sept. 23, 2024

Language: Английский

Citations

5
Using the Potential Transformation of Dissolved Organic Matter to Understand Carbon Emissions from Inland Rivers DOI
Qian Qu, Xiangang Hu,

Ruihong Feng

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(32), P. 14384 - 14395

Published: July 30, 2024

Understanding the transformation of river dissolved organic matter (DOM) is important for assessing emissions greenhouse gases (GHGs) in inland waters. However, relationships between variations DOM components and GHGs remain largely unknown. Here, parallel factor analysis (PARAFAC) was applied to investigate 46 rivers China. We found that GHG peri-urban were 1.10–2.15 times greater than those urban rivers. Microbial environmental factors (e.g., living cell numbers, microbial activity pH) explained more 70% total variance different ware revealed based on compositional data principal component (CoDA-PCA). Microbial-mediated production degradation quantified, levels 11.8–25.2% Differences carbon emission potential related variances transformations affected by water chemistry NH4–N As). This study clarifies regulatory effects composition emissions, enhances understanding biogeochemical cycle.

Language: Английский

Citations

4
A novel-approach for identifying sources of fluvial DOM using fluorescence spectroscopy and machine learning model DOI Creative Commons
Dongping Liu, Lei Nie, Beidou Xi

et al.

npj Clean Water, Journal Year: 2024, Volume and Issue: 7(1)

Published: Aug. 22, 2024

Rivers are well known as one of the most threatened aquatic environments, whose structure and water quality can be deeply impacted by intensive anthropogenic activities. Despite fact that influences on river ecosystems could indeed deduced from composition chemistry fluvial dissolved organic matter (DOM), sources loading to DOM still poorly explored. Here, uniting fluorescence excitation-emission matrices (EEM) principal component absolute coefficient, four seventeen rivers in major drainage basins China identified, i.e., originating municipal sewage, domestic wastewater, livestock natural origins, thus being defined MS-DOM, DW-DOM, LW-DOM, NO-DOM, respectively. Based random forest model, special nodes EEM traced sources, According parallel factor analysis, mainly contained protein-like, microbial humic-like, fulvic-like substances, among which protein-like was dominant MS-DOM humic-like NO-DOM. key peaks essential EEM, identifying source indices were first proposed, introduced simply distinguish different anthropogenic-derived DOM. It associated with intensity ratios spectra sewage (MS-SI: Ex/Em = 280/(335, 410) nm), wastewater (DW-SI: 280/(340, (LW-SI: 235/(345, 380) origins (NO-SI: 260/(380, 430) nm). By statistical high (>0.5) (>0.4) values related The 0.1–0.3 might linked DW-DOM 0.3–0.4 LW-DOM. Compared conventional optical indices, novel showed remarkable discrimination for forms disturbances. Hence innovative approach relatively convenient accurate evaluate or pollution risk ecosystems.

Language: Английский

Citations

4