Influence of Environmental Factors on Pesticide Adsorption by Black Carbon: pH and Model Dissolved Organic Matter

2009 ◽  
Vol 43 (13) ◽  
pp. 4973-4978 ◽  
Author(s):  
Yuping Qiu ◽  
Xiaoyu Xiao ◽  
Haiyan Cheng ◽  
Zunlong Zhou ◽  
G. Daniel Sheng
Keyword(s):  
Organic Matter ◽  
Environmental Factors ◽  
Dissolved Organic Matter ◽  
Black Carbon ◽  
Pesticide Adsorption

scholarly journals Relationships between dissolved black carbon and dissolved organic matter in streams

Chemosphere ◽  
2021 ◽  
Vol 271 ◽  
pp. 129824
Author(s):  
Youhei Yamashita ◽  
Daiki Kojima ◽  
Natsumi Yoshida ◽  
Hideaki Shibata
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Black Carbon

Production of Black Carbon-like and Aliphatic Molecules from Terrestrial Dissolved Organic Matter in the Presence of Sunlight and Iron

2014 ◽  
Vol 1 (10) ◽  
pp. 399-404 ◽  
Author(s):  
Hongmei Chen ◽  
Hussain A. N. Abdulla ◽  
Rebecca L. Sanders ◽  
Satish C. B. Myneni ◽  
Kenneth Mopper ◽  
...  
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Black Carbon

Monitoring seasonal variations of colored dissolved organic matter for the Saginaw River based on Landsat-8 data

2018 ◽  
Vol 19 (1) ◽  
pp. 274-281 ◽  
Author(s):  
Jiang Chen ◽  
Weining Zhu ◽  
Yuhan Zheng ◽  
Yong Q. Tian ◽  
Qian Yu
Keyword(s):  
Remote Sensing ◽  
Organic Matter ◽  
Environmental Factors ◽  
Dissolved Organic Matter ◽  
Spatial Resolution ◽  
Seasonal Variations ◽  
Pearson Correlation ◽  
Landsat 8 ◽  
Colored Dissolved Organic Matter ◽  
Positive Role

Abstract Remote sensing is an effective tool for studying CDOM (colored dissolved organic matter) variations and its relevant environmental factors. Monitoring CDOM distribution and dynamics in small water is often limited by the coarse spatial resolution of traditional ocean color sensors. In this study, because of its high spatial resolution of 30 m, Landsat-8 data were used to assess seasonal variations of CDOM in the Saginaw River, by using an empirical statistic model. Pearson correlation analysis between CDOM variations and other environmental factors, such as temperature, discharge, and dissolved oxygen, shows that temperature was negatively correlated to CDOM variations and discharge played a positive role. We also calculated the monthly mean aCDOM(440) (the absorption coefficient of CDOM at 440 nm) for the Saginaw River between April and November from 2013 to 2016. This study demonstrates a good example for future applications in small waters: observing CDOM variations and other relevant environmental factors change by using Landsat remote sensing, so that we can know more about water quality and ecosystem health of small waters as well as the climate change impact on regional watersheds.

Evaluating the phytotoxicity of dissolved organic matter derived from black carbon

2021 ◽  
Vol 778 ◽  
pp. 146231
Author(s):  
Ruju Zhang ◽  
Bolin Sun ◽  
Yangyang Song ◽  
Xiaomeng Chen ◽  
Caihong Song ◽  
...  
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Black Carbon

scholarly journals Remotely observed variations of reservoir low concentration chromophoric dissolved organic matter and its response to upstream hydrological and meteorological conditions using sentinel-2 imagery and gradient boosting regression tree

2020 ◽  
Author(s):  
Zeliang Zhang ◽  
Weining Zhu ◽  
Jiang Chen ◽  
Qian Cheng
Keyword(s):  
Water Quality ◽  
Organic Matter ◽  
Environmental Factors ◽  
Dissolved Organic Matter ◽  
Regression Tree ◽  
Chromophoric Dissolved Organic Matter ◽  
Gradient Boosting ◽  
Spatiotemporal Information ◽  
Sentinel 2A ◽  
Sentinel 2

Abstract Freshwater lakes are facing increasingly serious water quality problems. Remote sensing techniques are effective tools for monitoring spatiotemporal information of chromophoric dissolved organic matter (CDOM), a biochemical indicator for water quality. In this study, the Gradient Boosting Regressing Tree (GBRT) model and Sentinel-2A/B image were combined to estimate low CDOM concentrations (0.003 m−1 < aCDOM(440) <1.787 m−1) in Xin'anjiang Reservoir, an important drinking water resource in Zhejiang Province, China, providing the CDOM distributions and dynamics with high spatial (10 m) and temporal (5 days) resolutions. The possible environmental factors that may affect CDOM spatiotemporal patterns and dynamics were analyzed using Sentinel-2 image-observed data in 2018. Results showed that CDOM in the reservoir exhibited a clear increased gradient from its transition and lacustrine zones to the riverine zones, indicating that the rivers carried a substantial load of organic matter to the lake. The precipitation may increase CDOM concentrations but it has a delay effect, while it may also shortly decrease CDOM concentrations due to the rainwater dilution. We also found that the correlations between CDOM and water temperature, air pressure, and wind speed were very low, indicating that these factors may not have significant impacts on CDOM variations in the reservoir. This study demonstrated that the GBRT model and Sentinel-2 imagery have the potential to accurately monitor CDOM spatiotemporal variations in reservoirs with low CDOM concentrations, which advancing our understanding on the relations between the dissolved organic matter and its coupling environmental factors in river-reservoir systems.

Stormwater Dissolved Organic Matter: Influence of Land Cover and Environmental Factors

2013 ◽  
Vol 48 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Shawn P. McElmurry ◽  
David T. Long ◽  
Thomas C. Voice
Keyword(s):  
Organic Matter ◽  
Environmental Factors ◽  
Land Cover ◽  
Dissolved Organic Matter

scholarly journals Influence of environmental factors on spectral characteristic of chromophoric dissolved organic matter (CDOM) in Inner Mongolia Plateau, China

2015 ◽  
Vol 12 (6) ◽  
pp. 5895-5929 ◽  
Author(s):  
Z. D. Wen ◽  
K. S. Song ◽  
Y. Zhao ◽  
J. Du ◽  
J. H. Ma
Keyword(s):  
Water Quality ◽  
Organic Matter ◽  
Environmental Factors ◽  
Organic Carbon ◽  
Dissolved Organic Matter ◽  
Light Absorption ◽  
Vascular Plant ◽  
Spectral Characteristics ◽  
Chromophoric Dissolved Organic Matter ◽  
River Waters

Abstract. Spectral characteristics of chromophoric dissolved organic matter (CDOM) were examined in conjunction with environmental factors in the waters of 22 rivers and 26 terminal waters in Hulun Buir plateau, northeast China. Dissolved organic carbon (DOC), total nitrogen (TN), and total phosphorous (TP) were significantly higher in terminal waters than rivers waters (p < 0.01). Principal component analysis (PCA) indicated that non-water light absorption and anthropogenic nutrient disturbances might be the causes of the diversity of water quality parameters in Hulun Buir plateau. CDOM absorption in river waters was significantly lower than terminal waters (p < 0.01). Analysis of ratio of absorption at 250–365 nm (E250 : 365), specific UV absorbance (SUVA254), and spectral slope ratio (Sr) indicated that CDOM in river waters had higher aromaticity, molecular weight, and vascular plant contribution than in terminal waters. Furthermore, results showed that DOC concentration, CDOM light absorption, and the proportion of autochthonous sources of CDOM in plateau waters were all higher than in other freshwater rivers reported in the literature. The strong evapoconcentration, intense ultraviolet irradiance and landscape features of Hulun Buir plateau may be responsible for the above phenomenon. Redundancy analysis (RDA) indicated that the environmental variables TSM, TN, and EC had a strong correlation with light absorption characteristics, followed by TDS and chlorophyll a. In most sampling locations, CDOM was the dominant non-water light-absorbing substance. Light absorption by non-algal particles often exceeded that by phytoplankton in the plateau waters. Study of these optical-physicochemical correlations is helpful in the evaluation of the potential influence of water quality factors on non-water light absorption in cold plateau water environments. And the study on organic carbon in plateau lakes had a vital contribution to global carbon balance estimation.

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