DOI: 10.1016/j.marpolbul.2015.09.029
Scopus记录号: 2-s2.0-84945343784
论文题名: Variation of dissolved organic carbon transported by two Chinese rivers: The Changjiang River and Yellow River
作者: Liu D. ; Pan D. ; Bai Y. ; He X. ; Wang D. ; Zhang L.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2015
卷: 100, 期: 1 起始页码: 60
结束页码: 69
语种: 英语
英文关键词: Dissolved organic carbon
; Multilayer back-propagation neural network
; The changjiang river
; The yellow river
; Variation
Scopus关键词: Backpropagation
; Dissolution
; Multilayers
; Neural networks
; Organic carbon
; Remote sensing
; Stream flow
; Torsional stress
; Agricultural activities
; Average absolute error
; Dissolved organic carbon
; Hydrometric stations
; Multilayer back propagation
; Real time monitoring
; Variation
; Yellow river
; Rivers
; dissolved organic carbon
; organic carbon
; unclassified drug
; carbon
; artificial neural network
; back propagation
; concentration (composition)
; dissolved organic carbon
; temporal variation
; agriculture
; Article
; back propagation
; China
; cropland
; multilayer back propagation neural network
; pollution transport
; principal component analysis
; remote sensing
; river
; river basin
; vegetation
; chemistry
; environmental monitoring
; river
; season
; theoretical model
; China
; Yangtze River
; Yellow River
; Carbon
; Environmental Monitoring
; Models, Theoretical
; Rivers
; Seasons
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: Real-time monitoring of riverine dissolved organic carbon (DOC) and the associated controlling factors is essential to coastal ocean management. This study was the first to simulate the monthly DOC concentrations at the Datong Hydrometric Station for the Changjiang River and at the Lijin Hydrometric Station for the Yellow River from 2000 to 2013 using a multilayer back-propagation neural network (MBPNN), along with basin remote-sensing products and river in situ data. The average absolute error between the modeled values and in situ values was 9.98% for the Changjiang River and 10.84% for the Yellow River. As an effect of water dilution, the variations of DOC concentrations in the two rivers were significantly negatively affected by discharge, with lower values reported during the wet season. Moreover, vegetation growth status and agricultural activities, represented by the gross primary product (GPP) and cropland area percent (CropPer) in the river basin, respectively, also significantly affected the DOC concentration in the Changjiang River, but not the Yellow River. The monthly riverine DOC flux was calculated using modeled DOC concentrations. In particular, the riverine DOC fluxes were affected by discharge, with 71.06% being reported for the Changjiang River and 90.71% for the Yellow River. Over the past decade, both DOC concentration and flux in the two rivers have not shown significant changes. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/85886
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: School of Earth Sciences, Zhejiang University, Hangzhou, China; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou, China
Recommended Citation:
Liu D.,Pan D.,Bai Y.,et al. Variation of dissolved organic carbon transported by two Chinese rivers: The Changjiang River and Yellow River[J]. Marine Pollution Bulletin,2015-01-01,100(1)