Machine learning reveals distinct aquatic organic matter patterns driven by soil erosion types

Chromophoric dissolved organic matter (CDOM), characterized by unique optical properties, is an essential indicator for understanding aquatic organic matter dynamics within global carbon cycles. Soil erosion, a major source of CDOM received by lakes, transports terrestrial organic matter to water bo...

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Bibliographic Details
Main Authors: Yingxin Shang, Kaishan Song, Zhidan Wen, Fengfa Lai, Ge Liu, Hui Tao, Xiangfei Yu
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Environmental Science and Ecotechnology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666498425000481
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