[Spatial-temporal Characteristics and Driving Factors of Greenhouse Gas Emissions from Rivers in a Rapidly Urbanizing Area].

Huan Jing Ke Xue

Chongqing Key Laboratory of Wetland Science Research of the Upper Yangtze River, Chongqing 401331, China.

Published: June 2019

AI Article Synopsis

  • Rivers significantly contribute to greenhouse gas emissions, particularly affected by global urbanization and land use changes that alter river ecosystems.
  • This study aims to assess greenhouse gas concentrations and emissions in the Liangtan River of Chongqing City, which is highly polluted and rapidly urbanizing.
  • The research utilized a thin layer diffusion model to monitor CO, CH, and NO levels during specific months in 2014 and 2015, revealing spatial and seasonal variations in emissions linked to urbanization and pollution levels.

Article Abstract

Rivers play an important role in greenhouse gas emissions. Over the past decade, because of global urbanization trends, rapid land use changes have led to changes in river ecosystems that have had a stimulating effect on the greenhouse gas production and emissions. Presently, there is an urgent need for assessments of the greenhouse gas concentrations and emissions in watersheds. Therefore, this study was designed to evaluate river-based greenhouse gas emissions and their spatial-temporal features as well as possible impact factors in a rapidly urbanizing area. The specific objectives were to investigate how river greenhouse gas concentrations and emission fluxes are responding to urbanization in the Liangtan River, which is not only the largest sub-basin but also the most polluted one in Chongqing City. The thin layer diffusion model method was used to monitor year-round concentrations of CO, CH, and NO in September and December 2014, and March and June 2015. The CO range was (23.38±34.89)-(1395.33±55.45) Pa, and the concentration ranges of CH and NO were (65.09±28.09)-(6021.36±94.36) nmol·L and (29.47±5.16)-(510.28±18.34) nmol·L, respectively. The emission fluxes of CO, CH, and NO, which were calculated based on the method of wind speed model estimations, were -6.1-786.9, 0.31-27.62, and 0.06-1.08 mmol·(m·d), respectively. Moreover, the CO and CH emissions displayed significant spatial differences, and these were roughly consistent with the pollution load gradient. The greenhouse gas concentrations and fluxes of trunk streams increased and then decreased from upstream to downstream, and the highest value was detected at the middle reaches where the urbanization rate is higher than in other areas and the river is seriously polluted. As for branches, the greenhouse gas concentrations and fluxes increased significantly from the upstream agricultural areas to the downstream urban areas. The CO fluxes followed a seasonal pattern, with the highest CO emission values observed in autumn, then successively winter, summer, and spring. The CH fluxes were the highest in spring and the lowest in summer, while NO flux seasonal patterns were not significant. Because of the high carbon and nitrogen loads in the basin, the CO products and emissions were not restricted by biogenic elements, but levels were found to be related to important biological metabolic factors such as the water temperature, pH, DO, and chlorophyll a. The carbon, nitrogen, and phosphorus content of the water combined with sewage input influenced the CH products and emissions. Meanwhile, NO production and emissions were mainly found to be driven by urban sewage discharge with high NO concentrations. Rapid urbanization accelerated greenhouse gas emissions from the urban rivers, so that in the urban reaches, CO/CH fluxes were twice those of the non-urban reaches, and all over the basin NO fluxes were at a high level. These findings illustrate how river basin urbanization can change aquatic environments and aggravate allochthonous pollution inputs such as carbon, nitrogen, and phosphorus, which in turn can dramatically stimulate river-based greenhouse gas production and emissions; meanwhile, spatial and temporal differences in greenhouse gas emissions in rivers can lead to the formation of emission hotspots.

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Source
http://dx.doi.org/10.13227/j.hjkx.201810213DOI Listing

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