副教授
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    29 2023.08
黃逍
日期:2023.08.29 點擊:


黃逍

郵箱:xiao.huang@hainanu.edu.cn; damon19910125@gmail.com;

辦公室:365英国上市官网在线農科樓東附樓A511

 

研究方向與成果

  基于高性能計算的農業幹旱風險預測與評估(為我國第一代地球數值模拟系統内農業幹旱子系統開發GDNDC全球農業模型);

  農業生态系統碳--磷循環耦合模拟(為挪威國家碳減排評估開發草原碳排放管理模型BASGRA-BGC);

  基于深度學習算法的生态水文過程動态預測。

 

教育背景

  2009 - 2013:武漢大學水利水電學院,水文與水資源工程,學士;

  2013 - 2018:清華大學地球系統科學系,生态學,博士;

  2017 - 2018:牛津大學環境變化研究所(ECI, University of Oxford),訪問學生。

 

工作經曆

  2018 -2021:挪威生物經濟研究所(Norwegian Institute of Bioeconomy Research, NIBIO),博士後;

  2021 -2023:河海大學環境學院, 講師;

  2023至今:365英国上市官网在线生态與環境學院,副教授。

 

科研項目

  2020-2021,武漢大學水資源與水電工程科學國家重點實驗室,Assessing the Potential Productivity of Soybean Cultivation Expansion and its Environmental Benefits for Water Quality8萬元,主持。

  2020-2021,挪威科學研究委員會,Plogen Program: Using Satellite Products to Improve the Accuracy of Grass Growth Prediction in Norway by Data Assimilation5萬挪威克朗,主持。

  2018-2021,挪威科學研究委員會,MYR projectClimate Smart Management Practices on Norwegian Organic Soils1200萬挪威克朗,主要參與人。

  2020-2021,國家發改委,國家十二五重大科技基礎設施建設項目地球系統數值模拟裝置”- 中國和全球主要農産區糧食作物旱災模拟分系統,800萬元,主要參與人。

 

 

論文發表

  Huang X, Zhao G, Tao F, et al. 2021. Grass modelling in data-limited areas by incorporating MODIS data product. Field Crops Research. 271, 108250.

  Huang X, Silvennoinen, H., Kløve, B., et al. 2021. Modelling CO2 and CH4 emissions from drained peatlands with grass cultivation by the BASGRA-BGC model. Science of The Total Environment, 144385.

  Huang X, Ni S, Wu C, et al. 2020. GDNDC: An integrated system to model water-nitrogen-crop processes for agricultural management at regional scales. Environmental Modelling & Software.

  Ni S, Huang X, Gan W, et al. 2020. Coupled modelling and sampling approaches to assess the impacts of human water management on land-sea carbon transfer. Science of The Total Environment, 701: 134735.

  Yu C, Huang X, Chen H, et al. 2019. Managing nitrogen to restore water quality in China. Nature, 567: 516–520.

  Huang X, Ni S, Yu C, et al. 2018. Identifying precipitation uncertainty in crop modelling using Bayesian total error analysis. European Journal of Agronomy, 101: 248-258.

  Huang X, Yu C, Fang J, et al. 2018. A dynamic agricultural prediction system for large-scale drought assessment on the Sunway TaihuLight supercomputer. Computers and Electronics in Agriculture, 154: 400-410.

  Yu C, Huang X, Chen H, et al. 2018. Assessing the impacts of extreme agricultural droughts in China under climate and socioeconomic changes. Earth's Future, 6(5): 689-703.

  Huang X, Huang G, Yu C, et al. 2017. A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging. Field Crops Research, 211: 114-124.