A comprehensive characterisation of four phenolic compounds in surface water and various emission sources was conducted simultaneously in a typical industrial city upstream of the Taihu Lake watershed. The overall concentrations of the target compounds ranged from 0.15 to 2.75 μg/L in the surface water and from 0.43 to 377 μg/L in the emission sources. Relatively high concentration levels were observed in August, during which the rainy season typically occurred in the study area, indicating seasonal emission sources. The spatial distribution revealed severe phenolic-compound contamination in the northeast part of the study area. According to the relationships between the surface water and emission sources, combined-sewer overflow and surface runoff from agricultural activities were identified as seasonal emission sources that were responsible for the increased concentration levels in wet seasons. Indirect discharge of industrial wastewater was proposed as a persistent emission source responsible for the severe contamination level in the northeast region over the entire sampling period, accounting for 16.5% of the phenolic-compound load in a demonstration river section. The findings of this study are useful for identifying the sources of phenolic compounds and controlling the contamination from the main sources in a typical industrial city.
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http://dx.doi.org/10.1016/j.scitotenv.2020.137946 | DOI Listing |
Sci Rep
December 2024
School of Economics and Management, China University of Geosciences, Beijing, 100083, People's Republic of China.
Since agriculture is a major source of greenhouse gas emissions, accurately calculating these emissions is essential for simultaneously addressing climate change and food security challenges. This paper explores the critical role of trade in transferring agricultural greenhouse gas (AGHG) emissions throughout global agricultural supply chains. We develop a detailed AGHG emission inventory with comprehensive coverage across a wide range of countries and emission sources at first.
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December 2024
School of Marxism, Hebei Sport University, Shijiazhuang, 050041, Hebei, P. R. China.
The G20 countries are responsible for around 75% of the world's greenhouse gas (GHG) emissions, including the use of natural resources. In this regard, the role of globalization in achieving environmental sustainability is a relatively new topic of concern. As a result, the present study considers how globalization and natural resources affect GHG emissions, as well as the roles that renewable energy consumption and urbanization play in the G20 countries between 1990 and 2020.
View Article and Find Full Text PDFSci Total Environ
December 2024
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
The oxidative potential (OP) of particulate matter (PM) is crucial for understanding its ability to generate reactive oxygen species. However, the major chemical drivers influencing OP still need to be better understood. This study investigated the seasonal variations of OP and identified key drivers and source mechanisms in the industrial city of Zibo, located in North China Plain.
View Article and Find Full Text PDFSci Total Environ
December 2024
Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040 Vienna, Austria.
Fluorescence fingerprinting is a technique to uniquely characterize water samples based on their distinct composition of dissolved organic matter (DOM) measured via 3D fluorescence spectroscopy. It is an effective tool for monitoring the chemical composition of various water systems. This study examines a river affected by several municipal and industrial wastewater treatment plant (WWTP) effluents and aims to source-tracing them via fluorescence fingerprints based on parallel factor analysis (PARAFAC) components.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Deakin University, Geelong, Australia. Electronic address:
CO intensity is a valuable indicator for investigating the amount of CO emissions prevented by importing relative to the economic costs the importer pays for international trade; this plays a significant role in mitigating climate change and promoting environmental sustainability. This study explores the effect of importing on the CO intensity of the construction industry by establishing an analytical framework that divides the total CO intensity into aggregate CO intensity in imported products (AII) and aggregate CO intensity in domestic products (AID), and targets the gap between AII and AID to reveal the effects of importing. A multi-regional input-output model was adopted to evaluate the AII and AID of the construction industries in 15 economies for 2014 and then the LMDI method was used to decompose the gap between AII and AID from the perspective of the source industry.
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