利用CDOM吸收系数估算博斯腾湖水体表层DOC浓度

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Abstract This paper divide Lake Bosten into estuarine and non-estuarine regions based on 50sampling sites in the surface layer of Lake Bosten in the western arid zone in summer and autumn 2021, through statistical analysis of DOC characteristics, temporal and spatial differences in the influence of internal and external factors, and electrical conductivity correlation verification. Then, with the CDOM characteristic wavelength absorption coefficients a₂₅₀ and a₃₆₅ as independent variables and DOC concentration (c_DOC) as the dependent variable, the CDOM-based estimation model of DOC concentration in estuarine and non-estuarine waters was constructed respectively. The results showed that the exchange of water between the river and the lake would transport a large amount of terrestrial DOC into Lake Bosten, making the DOC concentration in the estuary area significantly higher than that in the non-estuarine area (t-tests, P<0.01), and the DOC concentration in the estuary area was about 2.2~2.3times that in the non-estuarine region, and c_DOC was significantly correlated with conductivity in the estuarine region (summer:R²=0.81, P<0.01; autumn:R²=0.84,P<0.01). This paper construct a fitting model(c_DOC=α+β·α₂₅₀+γ·α₃₆₅), and test the accuracy of the model by cross-validation. Unified modeling of the same area data in summer and autumn, there is a good correlation between CDOM and DOC in both estuary and non-estuarine areas, and the model accuracy is high (estuary area:R²=0.60, RMSE=8.56%; non-estuarine area:R²=0.66, RMSE=8.77%). The model established in this paper can improve the accuracy without increasing the environmental factor variables, which is beneficial to the realization of satellite remote sensing inversion. At the same time, the spatiotemporal effects of river input on DOC distribution and estimation in Lake Bosten were revealed, and it was proposed that CDOM could be used to estimate DOC concentration, but estuarine and non-estuarine areas should be distinguished according to factors such as hydrological characteristics and c_DOC. This study provides a scientific basis for the rational development, effective protection and comprehensive management of water resources in Xinjiang, and is of great significance to the dynamic monitoring of lakes in the western arid zone of China.

Key words： Lake Bosten dissolved organic carbon chromophoric dissolved organic matter remote sensing inversion spatio-temporal variation

Received: 24 May 2022

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	Articles by authors
	JIANG Xin-tong
	LIU Dong
	ZHONG Pu
	DUAN Hong-tao

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JIANG Xin-tong,LIU Dong,ZHONG Pu等. Estimation of DOC concentration in the surface water of Lake Bosten using CDOM absorption coefficient[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(12): 5824-5835.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I12/5824

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