硕士生导师
罗开盛

罗开盛

性别:        最高学位:博士        博导/硕导:硕导

邮箱: luokaisheng@cigit.ac.cn 

个人简介:

罗开盛,博士,副研究员,副教授,硕导,干扰水文学创始人,主要研究领域为干扰水文学,长期致力于干扰水文学理论的完善,水文系统对人类活动干扰的响应与适应机制、模型模拟、调控对策及资源环境遥感的研究。以独著方式出版了国内外首部干扰水文学的科学著作—《干扰水文学》,提出“干扰水文学”的概念并阐明其内涵,厘定了干扰水文的研究对象、理论基础、核心研究内容、研究方法、基本框架、分支体系等,提出3阶段5环节的人类水文干扰过程理论;量化主体人类活动并揭示其对水文系统的干扰过程与干扰机制;揭示了土地利用、生态保护工程建设、农业管理等典型分支人类活动对水文系统的干扰过程与干扰机制及其它们之间以及与气候变化之间的博弈对比。以第一作者/独作在Landscape and Urban Planning、Journal of Environmental Management、生态学报等国内外顶级/知名期刊发表论文25篇,研究成果受到院士、国家自然资源部以及国内外同行的广泛认可;主持/参与国家级项目4项、部级项目1项;现兼任《土壤通报》、《人民珠江》、《山西农业科学》等学术期刊的编委/青年编委。

个人学术主页:https://www.researchgate.net/profile/Kaisheng-Luo

教育经历:

2014/9 - 2017/7中国科学院地理科学与资源研究所,生态学。

2011/9 - 2014/6 中国科学院测量与地球物理研究所,自然地理学,硕士;

2007/9 - 2011/6 井冈山大学,教育学院/教育学(地理方向),学士;

主要研究方向:

干扰水文学、遥感与地理信息系统、水文模型模拟

招生专业:

自然地理学/水文学

代表性成果(含文章、专利、科研项目等):

学术专著:

罗开盛 ,干扰水文学,气象出版社,2022.

代表性论文:

(1)Kaisheng Luo*, Xuejun Zhang. Increasing urban flood risk in China over recent 40 years induced by LUCC, Landscape and Urban Planning, 2022,219, 104317. (CiteScore=11.6, IF=6.142)

(2)Kaisheng Luo*. Response of hydrological systems to the intensity of ecological engineering. Journal of Environmental Management, 2021, 296, 113173. (CiteScore=9.8, IF=6.789)

(3)Kaisheng Luo*, Moiwo, P. Juana. Rapid monitoring of abandoned farmland and information on regulation achievements of government based on remote sensing technology. Environmental Science & Policy, 2022, 132:91-100. (CiteScore=8.4, IF=5.581)

(4)Kaisheng Luo*, Yuanzheng Li. Assessing rainwater harvesting potential in a humid and semi-humid region based on a hydrological model. Journal of Hydrology:Regional Studies, 2021, 37, 100912. (CiteScore=7.3, IF=5.023)

(5)Kaisheng Luo*. Contribution of ecological conservation programs and climate change to hydrological regime change in the source region of the Yangtze River in China. Regional Environmental Change, 2022, 22(10):1-24. (CiteScore=7.4, IF=3.678)

(6)Kaisheng Luo*, Philip M. P. Mornya. Fine Monitoring of Wetlands at Provincial Large-scale Using Object-based Technique and Medium-resolution Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019,12(8):2878-2888. (CiteScore=7.2, IF=3.784)

(7)Kaisheng Luo*. Spatial Pattern of Forest Carbon Storage in the Vertical and Horizontal Directions Based on HJ-CCD Remote Sensing Imagery. Remote Sensing. 2019, 12(11), 788-792. (CiteScore=6.6, IF=4.848)

(8)Kaisheng Luo*, Bingjuan Li, Moiwo Juana P. Monitoring land-use/land-cover changes at a provincial large scale using an object-oriented technique and medium-resolution remote-sensing images. Remote Sensing, 2018,12 (10): 2012 -2031. (CiteScore=6.6, IF=4.848)

(9)Kaisheng Luo, Fulu Tao*, Xiangzheng Deng, Moiwo Juana P. Changes in potential evapotranspiration and surface runoff in 1981-2010 and the driving factors in Upper Heihe River Basin in Northwest China. Hydrological Processes, 2017,31(1):90-103. (CiteScore=5.8, IF=3.565)

(10)Kaisheng Luo, Fulu Tao*. Monitoring of forest virtual water in Hunan Province, China, based on HJ-CCD remote-sensing images and pattern analysis. International Journal of Remote Sensing, 2016,37(10): 2376-2393. (CiteScore=5.9, IF=3.151)

  • 招生

  • 招聘

  • SEP

  • 选课系统

  • 图书馆

  • <收起

    快速链接