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  1. Article ; Online: Sewage treatment decreased organic carbon resources in Hong Kong waters during 1986–2020

    Liu, Dong / Bai, Yan / Wei, Xiaodao / Jiang, Xintong / Wu, Huawu / Yu, Shujie

    Environmental Pollution. 2023 July 19, p.122219-

    2023  , Page(s) 122219–

    Abstract: Riverine organic carbon (OC) transport plays a role in regulating terrestrial and marine carbon pools and deteriorating coastal water quality. However, long-term OC transport in Asian rivers and its diffusion in marginal seas have remained unreported. ... ...

    Abstract Riverine organic carbon (OC) transport plays a role in regulating terrestrial and marine carbon pools and deteriorating coastal water quality. However, long-term OC transport in Asian rivers and its diffusion in marginal seas have remained unreported. This study reported the spatiotemporal variations in OC resources for Hong Kong waters, China, based on monthly monitoring data collected at 82 river stations and 94 ocean sites during 1986–2020. The station-based riverine OC varied spatially and was generally high, with a mean value of 1.4–52.0 mg/L. Moreover, along with improving water quality, OC at 97.6% of the river stations decreased during 1986–2020; overall, sewage treatment accounted for 83.4% of the exponential decrease in riverine OC (R² = 0.68, p < 0.01). However, the reduction in riverine OC accounted for only 10.4% of the reduction in the marine five-day biochemical oxygen demand (BOD₅), which occurred at 70.2% of the ocean sites, especially those closest to the shore. The linear reduction in the marine BOD₅ (R² = 0.24, p < 0.01) was mainly attributed to reduced OC input from the adjacent Pearl River (61.9%) and decreases in phytoplankton growth (19.0%). These results indicated that sewage treatment improved water quality and decreased OC resources in Hong Kong waters, which can serve as a sustainable development model for other coastal cities. This study has important implications for mitigating organic pollution in the context of human efforts to manage the water environment.
    Keywords biochemical oxygen demand ; coastal water ; humans ; models ; organic carbon ; phytoplankton ; riparian areas ; rivers ; sewage treatment ; sustainable development ; water quality ; China ; Spatiotemporal variation ; Human activities ; Phytoplankton growth
    Language English
    Dates of publication 2023-0719
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Pre-press version
    ZDB-ID 280652-6
    ISSN 1873-6424 ; 0013-9327 ; 0269-7491
    ISSN (online) 1873-6424
    ISSN 0013-9327 ; 0269-7491
    DOI 10.1016/j.envpol.2023.122219
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 4136: Show issues

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  2. Article ; Online: Sewage treatment decreased organic carbon resources in Hong Kong waters during 1986-2020.

    Liu, Dong / Bai, Yan / Wei, Xiaodao / Jiang, Xintong / Wu, Huawu / Yu, Shujie

    Environmental pollution (Barking, Essex : 1987)

    2023  Volume 335, Page(s) 122219

    Abstract: Riverine organic carbon (OC) transport plays a role in regulating terrestrial and marine carbon pools and deteriorating coastal water quality. However, long-term OC transport in Asian rivers and its diffusion in marginal seas have remained unreported. ... ...

    Abstract Riverine organic carbon (OC) transport plays a role in regulating terrestrial and marine carbon pools and deteriorating coastal water quality. However, long-term OC transport in Asian rivers and its diffusion in marginal seas have remained unreported. This study reported the spatiotemporal variations in OC resources for Hong Kong waters, China, based on monthly monitoring data collected at 82 river stations and 94 ocean sites during 1986-2020. The station-based riverine OC varied spatially and was generally high, with a mean value of 1.4-52.0 mg/L. Moreover, along with improving water quality, OC at 97.6% of the river stations decreased during 1986-2020; overall, sewage treatment accounted for 83.4% of the exponential decrease in riverine OC (R
    MeSH term(s) Humans ; Hong Kong ; Carbon/analysis ; Sewage ; Oceans and Seas ; China ; Rivers ; Environmental Monitoring
    Chemical Substances Carbon (7440-44-0) ; Sewage
    Language English
    Publishing date 2023-07-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 280652-6
    ISSN 1873-6424 ; 0013-9327 ; 0269-7491
    ISSN (online) 1873-6424
    ISSN 0013-9327 ; 0269-7491
    DOI 10.1016/j.envpol.2023.122219
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2599: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: Satellite Observations of the Diurnal Dynamics of Particulate Organic Carbon in Optically Complex Coastal Oceans: The Continental Shelf Seas of China

    Wei, Xiaodao / Shen, Fang / Pan, Yanqun / Chen, Shuguo / Sun, Xuerong / Wang, Yongchao

    Journal of geophysical research. 2019 July, v. 124, no. 7

    2019  

    Abstract: The continental shelf seas of China (CSSC) broadly encompass the Bohai Sea, the Yellow Sea, and the East China Sea and exhibit highly variable optical properties. Accurate satellite estimates of particulate organic carbon (POC) remain challenging because ...

    Abstract The continental shelf seas of China (CSSC) broadly encompass the Bohai Sea, the Yellow Sea, and the East China Sea and exhibit highly variable optical properties. Accurate satellite estimates of particulate organic carbon (POC) remain challenging because optimal proxies for remotely sensed POC are largely obscure in these optically complex coastal waters. In this study, optical and biogeochemical data, including the particulate beam attenuation coefficient (cₚ), particulate backscattering coefficient (bbₚ), remote sensing reflectance (Rᵣₛ), POC, total suspended matter (TSM), and chlorophyll‐a (Chla), were collected over multiple seasons and years in the CSSC. We first classified the study area into three different water types with three different POC retrieval proxies: the TSM for high‐TSM waters, Chla for low‐TSM waters, and Rᵣₛ ratio (Rᵣₛ(490)/Rᵣₛ(555)) for moderate‐TSM waters. A composite POC algorithm using these three optimal proxies was then developed for Geostationary Ocean Color Imager (GOCI) satellite data (hereafter called the POC_CSSC algorithm). The validation results indicated that the accuracy of GOCI‐derived POC was greatly improved with a mean relative error of 32.08%. Application of the POC_CSSC algorithm to GOCI data over a tidally impacted estuary demonstrated the robustness of the algorithm and that tides play different roles in the broad CSSC. More specifically, tides have the strongest influence on nearshore estuarine waters, regulating the progression of high‐POC water masses from estuary to offshore environments, while offshore waters were the least influenced by tides with less variable, low POC concentrations.
    Keywords algorithms ; chlorophyll ; color ; continental shelf ; estuaries ; geophysics ; particulate organic carbon ; reflectance ; remote sensing ; research ; satellites ; China ; East China Sea ; Yellow Sea
    Language English
    Dates of publication 2019-07
    Size p. 4710-4726.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 161667-5
    ISSN 2169-9291 ; 2169-9275 ; 0148-0227 ; 0196-2256
    ISSN (online) 2169-9291
    ISSN 2169-9275 ; 0148-0227 ; 0196-2256
    DOI 10.1029/2018JC014715
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 2004/712: Show issues
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  4. Book ; Online: The Lagrangian-based Floating Macroalgal Growth and Drift Model (FMGDM v1.0)

    Zhou, Fucang / Ge, Jianzhong / Liu, Dongyan / Ding, Pingxing / Chen, Changsheng / Wei, Xiaodao

    eISSN: 1991-9603

    application to the Yellow Sea green tide

    2021  

    Abstract: Massive floating macroalgal blooms in the ocean result in many ecological consequences. Tracking their drifting pattern and predicting their biomass are essential for effective marine management. In this study, a physical–ecological model, the Floating ... ...

    Abstract Massive floating macroalgal blooms in the ocean result in many ecological consequences. Tracking their drifting pattern and predicting their biomass are essential for effective marine management. In this study, a physical–ecological model, the Floating Macroalgal Growth and Drift Model (FMGDM), was developed. Based on the tracking, replication, and extinction of Lagrangian particles, FMGDM is capable of determining the dynamic growth and drift pattern of floating macroalgae, with the position, velocity, quantity, and represented biomass of particles being updated synchronously between the tracking and the ecological modules. The particle tracking is driven by ocean flows and sea surface wind, and the ecological process is controlled by the temperature, irradiation, and nutrients. The flow and turbulence fields were provided by the unstructured grid Finite-Volume Community Ocean Model (FVCOM), and biological parameters were specified based on a culture experiment of Ulva prolifera , a phytoplankton species causing the largest worldwide bloom of green tide in the Yellow Sea, China. The FMGDM was applied to simulate the green tide around the Yellow Sea in 2014 and 2015. The model results, e.g., the distribution, and biomass of the green tide, were validated using the remote-sensing observation data. Given the prescribed spatial initialization from remote-sensing observations, the model was robust enough to reproduce the spatial and temporal developments of the green tide bloom and its extinction from early spring to late summer, with an accurate prediction for 7–8 d . With the support of the hydrodynamic model and biological macroalgae data, FMGDM can serve as a model tool to forecast floating macroalgal blooms in other regions.
    Subject code 551
    Language English
    Publishing date 2021-10-11
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Erratum to

    He, Shuangyan / He, Mingxia / Fischer, Jürgen / Yuan, Dongliang / Xu, Peng / Xu, Tengfei / Yang, Xianping / Sokoletsky, Leonid / Wei, Xiaodao / Shen, Fang / Zou, Juhong / Guo, Maohua / Cui, Songxue / Zhou, Wu / Gao, Dalu / Jin, Guangzhen / Lü, Xianqing / Qiu, Fuwen / Fang, Wendong /
    Pan, Aijun / Cha, Jing / Zhang, Shanwu / Huang, Jiang / Wang, Tao / Cheng, Yongzhou / Chen, Xiaoyan / Liu, Zhaopu / Long, Xiaohua / Hou, Zhishuai / Wen, Haishen / Li, Jifang / He, Feng / Liu, Qun / Wang, Jinhuan / Guan, Biao / Wang, Qinglong / Shahjahan, Md / Kabir, Md Farajul / Sumon, Kizar Ahmed / Bhowmik, Lipi Rani / Rashid, Harunur / Li, Shu / Yu, Kefu / Zhao, Jianxin / Feng, Yuexing / Chen, Tianran / Zhou, Shun / Ren, Yichao / Pearce, Christopher M. / Dong, Shuanglin / Tian, Xiangli / Gao, Qinfeng / Wang, Fang / Liu, Liming / Du, Rongbin / Zhang, Xiaoling / Sun, Shichun / Feng, Song / Lin, Jianing / Sun, Song / Zhang, Fang / Zhang, Zhipeng / Tang, Xuexi / Tang, Haitian / Song, Jingjing / Zhou, Jian / Liu, Hongjun / Wang, Qixiang / Qian, Kuimei / Liu, Xia / Chen, Yuwei / Sun, Chengjun / Jiang, Fenghua / Gao, Wei / Li, Xiaoyun / Yu, Yanzhen / Yin, Xiaofei / Wang, Yong / Ding, Haibing / Sun, Zhongmin / Wang, Yongqiang / Yan, Pengcheng / Guo, Hui / Yao, Jianting / Tanaka, Jiro / Kawai, Hiroshi / Song, Na / Chen, Muyan / Gao, Tianxiang / Yanagimoto, Takashi / Lu, Xia / Luan, Sheng / Kong, Jie / Hu, Longyang / Mao, Yong / Zhong, Shengping / Liu, Yan / Zhao, Weihong / Li, Caiyan / Miao, Hui

    Chinese Journal of Oceanology and Limnology

    Performance evaluation of operational atmospheric correction algorithms over the East China Seas (Chinese Journal of Oceanology and Limnology, (2017), 35, 1, (1-22), 10.1007/s00343-016-5170-6)

    2017  Volume 35, Issue 2

    Abstract: Unfortunately for all articles of Vol. 35 No. 1 the future journal title “Journal of Oceanology and Limnology” was used instead of the current journal title “Chinese Journal of Oceanology and Limnology”. All articles in the issue are aff ected. Please ... ...

    Abstract Unfortunately for all articles of Vol. 35 No. 1 the future journal title “Journal of Oceanology and Limnology” was used instead of the current journal title “Chinese Journal of Oceanology and Limnology”. All articles in the issue are aff ected. Please make sure to cite the articles with the following Vol. and No. info: Chinese Journal of Oceanology and Limnology, Vol. 35 No. 1, [page range].
    Keywords Life Science
    Language English
    Publishing country nl
    Document type Article ; Online
    ZDB-ID 2262662-1
    ISSN 1993-5005 ; 0254-4059
    ISSN (online) 1993-5005
    ISSN 0254-4059
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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