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Étude sur la méthode d'inversion par télédétection du carbone organique particulaire dans les eaux intérieures avec traçage isotopique couplé

  • role： First author第一作者
  • Affiliation：

    School of Geography, Nanjing Normal University, Nanjing 210023, China

    Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, Nanjing 210023, China

  • Email：chenfarong@nnu.edu.cn
  • Introduction：陈法融，研究方向为内陆水体定量遥感。E-mail：chenfarong@nnu.edu.cn
CHEN Farong12,  
  • Affiliation：

    School of Geography, Nanjing Normal University, Nanjing 210023, China

    Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, Nanjing 210023, China

YANG Guangrui12,  
  • Affiliation：

    State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

ZHAO Zhilong5,  
  • Affiliation：

    State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

SHI Kun5,  
  • Affiliation：

    School of Geography, Nanjing Normal University, Nanjing 210023, China

    Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, Nanjing 210023, China

ZHAO Chu12,  
  • Affiliation：

    School of Geography, Nanjing Normal University, Nanjing 210023, China

    Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, Nanjing 210023, China

MENG Lize12,  
  • Affiliation：

    School of Geography, Nanjing Normal University, Nanjing 210023, China

    Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, Nanjing 210023, China

YE Zhishan12,  
  • Affiliation：

    School of Geography, Nanjing Normal University, Nanjing 210023, China

    Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, Nanjing 210023, China

ZHANG Xinyi12,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geography, Nanjing Normal University, Nanjing 210023, China

    Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, Nanjing 210023, China

    Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

    Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China

  • Email：huangchangchun@njnu.edu.cn
  • Introduction：黄昌春，研究方向为湖泊生态环境遥感与碳循环。E-mail：huangchangchun@njnu.edu.cn
HUANG Changchun1234*

résumé

Le carbone organique particulaire POC (Particulate Organic Carbon) est une composante importante du réservoir de carbone dans les eaux intérieures, affectant le transfert et la transformation du carbone organique dans l'eau ainsi que les émissions de gaz à effet de serre, et jouant un rôle clé dans le cycle global du carbone et les changements climatiques. En raison de la complexité de la composition des sources de POC, la précision et la généricité des algorithmes de télédétection existants pour l'inversion du POC sont relativement faibles. Dans ce contexte, cette étude a été menée dans les régions moyen et inférieur du cours principal du Yangtsé ainsi que le lac Tai, utilisant une méthode de traçage biogéochimique des sources pour analyser la contribution des endmembers du POC, construire un modèle d'estimation du ratio des sources de POC basé sur le ratio à trois bandes de la réflectance de télédétection, et classer les eaux en deux types selon la proportion de POC endogène et exogène : type dominé par l'endogène et type dominé par le terrestre. Pour ces deux types d'eaux, des modèles semi-analytiques d'inversion de la concentration de POC ont été construits en se basant sur le coefficient d'absorption du phytoplancton (aph(674)) et le coefficient d'absorption des particules non pigmentées (anap(443)). Les résultats montrent que la concentration de POC endogène et terrestre peut être estimée avec aph(674) et anap(443), avec une bonne précision et universalité du modèle, RMSE (Root Mean Square Error) de 1,322 mg/L, biais médian MB (Median Bias) de -0,177 mg/L, et erreur absolue moyenne en pourcentage MAPE (Mean Absolute Percentage Error) de 29,380 %. Cette étude illustre la possibilité et les avantages de l'inversion synergique de POC par télédétection et techniques biogéochimiques, offrant de nouvelles perspectives pour la surveillance télédétectée des eaux intérieures ultérieurement.

mots-clés

eaux intérieures;carbone organique particulaire;traçage isotopique;alcane normal;modèle semi-analytique

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