黄逍

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

办公室：海南大学农科楼东附楼A511

研究方向与成果

●  基于高性能计算的农业干旱风险预测与评估（为我国第一代地球数值模拟系统内农业干旱子系统开发GDNDC全球农业模型）；

●  农业生态系统碳-氮-磷循环耦合模拟（为挪威国家碳减排评估开发草原碳排放管理模型BASGRA-BGC）；

●  基于深度学习算法的生态水文过程动态预测。

教育背景

●  2009 - 2013：武汉大学水利水电学院，水文与水资源工程，学士；

●  2013 - 2018：清华大学地球系统科学系，生态学，博士；

●  2017 - 2018：牛津大学环境变化研究所（ECI, University of Oxford），访问学生。

工作经历

●  2018 -2021：挪威生物经济研究所（Norwegian Institute of Bioeconomy Research, NIBIO），博士后;

●  2021 -2023：河海大学环境学院, 讲师;

●  2023至今：365体育官方唯一入口，副教授。

科研项目

●  2020-2021，武汉大学水资源与水电工程科学国家重点实验室，Assessing the Potential Productivity of Soybean Cultivation Expansion and its Environmental Benefits for Water Quality，8万元，主持。

●  2020-2021，挪威科学研究委员会，Plogen Program: Using Satellite Products to Improve the Accuracy of Grass Growth Prediction in Norway by Data Assimilation，5万挪威克朗，主持。

●  2018-2021，挪威科学研究委员会，MYR project：Climate Smart Management Practices on Norwegian Organic Soils，1200万挪威克朗，主要参与人。

●  2020-2021，国家发改委，国家“十二五”重大科技基础设施建设项目“地球系统数值模拟装置”- 中国和全球主要农产区粮食作物旱灾模拟分系统，800万元，主要参与人。

论文发表

●  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.