
刘军志 教授
地址:观云楼905室
邮箱:liujunzhi@lzu.edu.cn
刘军志,山东海阳人,兰州大学泛第三极环境中心教授、博士生导师,入选教育部青年长江学者、甘肃省领军人才、甘肃省飞天学者青年学者,担任国际环境建模与软件协会青年学者委员会主席、国际开放建模联盟教育和外联工作组主席等职。主要从事流域过程模拟、时空数据挖掘等方面研究,自主设计研发了模块化、并行化的流域建模框架SEIMS和流域系统模型WISE,所提并行算法被网格化新安江模型、LISFLOOD、WEP-L等知名模型采用。主持国家自然科学基金区域联合基金、面上和青年项目等课题,发表期刊论文100余篇,其中第一/通讯作者论文46篇,论文累计被引用6000余次(H指数32),8篇论文入选ESI高被引论文,获授权国家发明专利11项,软件著作权10项,获甘肃省自然科学一等奖、教育部自然科学二等奖、地理信息科技进步特等奖、中国地理科学十大研究进展等荣誉10余项。

l 2002–2006,中国矿业大学资源与地球科学学院,获理学学士学位
l 2006–2009,中国科学院大学资源与环境学院,获理学硕士学位
l 2009–2013,中科院地理所资源与环境信息系统国家重点实验室,获理学博士学位
l 甘肃省自然科学一等奖,2025(2/5)
l 中国地理科学十大研究进展,2025(10/30)
l 中国国土经济学会十大科技进展,2025(1/4)
l 中国地理科学十大研究进展,2022(26/31)
l 地理信息科技进步奖,特等奖,2021(排名第11)
l 教育部高等学校科学研究优秀成果奖,自然科学二等奖,2017(排名第9)
l 第三届全国高校GIS青年教师讲课竞赛,特等奖,2015
l 江苏省高等学校微课教学比赛,二等奖,2017
l 南京师范大学优秀教师奖,2019
l 南京师范大学第十八届教学成果,特等奖,2017
l 南京师范大学第二届“行远杯”微课竞赛,一等奖,2015
l 南京师范大学微课教学大赛,二等奖,2017
指导学生获奖:
l 第21届SuperMap杯全国高校GIS大赛,开发组一等奖,2023
l 第一届中国虚拟地理环境创新大赛,二等奖,2023
l 第九届全国大学生GIS应用技能大赛,特等奖,2020
l 第六届全国大学生GIS应用技能大赛,一等奖,2017
l 第二届中国高校地理科学展示大赛,三等奖,2016
l SuperMap杯第十五届全国高校GIS大赛,优秀奖,2017
l 第二届“共享杯”大学生科技资源共享与服务创新实践竞赛,优秀奖,2014

l 2013-2021,南京师范大学地理科学学院,讲师、副教授
l 2018-2019,德国马普学会生物地球化学研究所,访学
l 2024-2025,加拿大滑铁卢大学,访学

l 地理信息科学,流域水文和碳循环模型,人工智能与机理过程混合模型,虚拟地理环境

l 国际环境建模与软件协会青年学者委员会主席 2022-至今;
l 国际开放建模联盟教育和外联工作组主席 2022-至今;
l 《Environmental Modelling & Software》 Associate Editor 2023-至今;
l 国际数字地球学会中委会虚拟地理环境专业委员会委员,2019-至今;
l 中国地理学会信息地理学委员会委员,2023-2027;
l 中国自然资源学会资源持续利用与减灾专业委员会,2022-2027。

l 西藏自治区科技计划项目:察隅季风通道多圈层变化野外科学观测研究,2025-2027;
l 国家自然科学基金区域创新发展联合基金:考虑水-热-碳-微生物耦合作用的青海省典型多年冻土区碳释放风险评估,2024-2027;
l 甘肃省水文水资源中心委托项目:基于数字孪生的石羊河流域水资源时空变化机理研究,2024-2025;
l 国家自然科学基金面上项目:青藏高原典型流域河流有机碳输出模拟及未来变化预估——以长江源区为例,2022-2025;
l 甘肃省自然科学基金重点项目:水陆耦合的寒区流域碳循环模型研究,2023-2026;
l 第二次青藏高原综合科学考察研究子课题:冰川流域微生物地理分布规律与空间制图,2022-2024;
l 国家自然科学基金委基础科学中心开放课题:“亚洲水塔”变化对下游河流入海碳通量的影响研究,2022-2025;
l 兰州大学优秀青年支持计划项目:陆地与水体耦合的黄河上游流域碳源汇模拟与未来预估,2022-2025;
l 国家自然科学基金青年基金:面向南方丘陵区的流域汇流网络建模方法研究,2017-2019
l 973项目子课题:面向虚拟地理环境的人类活动模型与地球系统模式耦合,2015-2019
l 江苏省自然科学基金青年基金:南方丘陵区非点源污染过程的全分布式模拟方法研究,2015-2018
l 江苏省高校自然科学研究项目:栅格型分布式水文模型的并行计算研究,2014-2016

[1] Junzhi Liu*, Jiaojiao Liu, Bin Zhang, Jinshuai Xu, Haocheng Wang, Xin Zheng, Caiqin Liu, Zhengxu Guo, Jing Ma, Dawei Xiao, Ping Long, Zhaotian Lianghao, Yongbo Liu, Wanhong Yang. WISE: A spatially explicit carbon cycling model at the watershed scale. Information Geography, 2025, 1, 100010.
[2] Beichen Zhang, Junzhi Liu*, Bin Zhang, Dawei Xiao, Min Chen. A web-based tool for watershed delineation considering lakes and reservoirs. Environmental Modelling & Software, 2025, 183, 106232.
[3] Jiaojiao Liu, Junzhi Liu*, Xinzhong Du, RenKui Guo, Zheng Duan, BinJie Yuan, YongQin Liu. The importance of impoundment interception in simulating riverine dissolved organic carbon. Water Resources Research, 2024, 60, e2024WR038133.
[4] Zhengxu Guo, Yang Wang, Caiqin Liu, Wanhong Yang, Junzhi Liu*. PyMTRD: A Python package for calculating the metrics of temporal rainfall distribution. Environmental Modelling & Software, 2024, 182, 106201.
[5] 刘娇娇, 刘军志*, 宋超, 张蔚珍, 刘勇勤. 河流碳循环模型研究进展. 地球科学进展, 2024, 39 (2): 111-123.
[6] Haoran Liu, Junzhi Liu*, Yueqiang Yin, Sophia Walther, Xuanlong Ma, Zhaoying Zhang, Yuhan Chen. Improved Vegetation Photosynthetic Phenology Monitoring Using the Total Canopy Solar-Induced Chlorophyll Fluorescence Emission Derived From TROPOMI. Journal of Geophysical Research: Biogeosciences, 2023.
[7] Junzhi Liu*, Pengcheng Fang, Yefeng Que, Liang-Jun Zhu, Zheng Duan, Guoan Tang, Pengfei Liu, Mukan Ji, and Yongqin Liu. A dataset of lake-catchment characteristics for the Tibetan Plateau. Earth System Science Data, 2022, 14, 3791-3805.
[8] Yongqin Liu, Pengcheng Fang, Bixi Guo, Mukan Ji, Pengfei Liu, Guannan Mao, Baiqing Xu, Shichang Kang, Junzhi Liu*. A comprehensive dataset of microbial abundance, dissolved organic carbon, and nitrogen in Tibetan Plateau glaciers. Earth System Science Data, 2022, 14, 2303-2314.
[9] Junzhi Liu, Zhangcong Liu, Yueqiang Yin, Barry F. W. Croke, Min Chen, Cheng-Zhi Qin, Guoan Tang, A-Xing Zhu*. A hybrid vector-raster approach to drainage network construction in agricultural watersheds with rice terraces and ponds. Journal of Hydrology, 2021, 601: 126585.
[10] Junzhi Liu, Lei Yang, Jingchao Jiang*, Weihua Yuan, Zheng Duan. Mapping diurnal cycles of precipitation over China through clustering, Journal of Hydrology, 2021, 592: 125804.
[11] Junzhi Liu*, Xuanlong Ma, Zheng Duan, Jingchao Jiang, Markus Reichstein, Martin Jung. Impact of temporal precipitation variability on ecosystem productivity. Wiley Interdisciplinary Reviews: Water, 2020, https://doi.org/10.1002/wat2.1481.
[12] Haoyuan Hong*, Junzhi Liu*, A-Xing Zhu. Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble. Science of the Total Environment, 2020, 718: 137231.
[13] Junzhi Liu, Zhangcong Liu, A-Xing Zhu, Fang Shen, Qiuliang Lei, Zheng Duan*. Global sensitivity analysis of the APSIM-Oryza rice growth model under different environmental conditions. Science of The Total Environment, 2019, 651, 953-968.
[14] Liang-Jun Zhu, Junzhi Liu*, Cheng-Zhi Qin*, A-Xing Zhu. A modular and parallelized watershed modeling framework. Environmental Modelling & Software, 2019, 122: 104526.
[15] Meiling Sheng, Junzhi Liu*, A-Xing Zhu, David G. Rossiter, Haoran Liu, Zhangcong Liu, Liming Zhu. Comparison of GLUE and DREAM for the estimation of cultivar parameters in the APSIM-maize model, Agricultural and Forest Meteorology, 2019, 278(15): 107659.
[16] A-Xing Zhu, Yamin Miao, Junzhi Liu*, Shibiao Bai, Canying Zeng, Tianwu Ma, Haoyuan Hong*. A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods, Catena, 2019, doi: https://doi.org/10.1016/j.catena.2019.104188.
[17] Zheng Duan, Ye Tuo, Junzhi Liu*, Hongkai Gao*, Xianfeng Song, Zengxin Zhang, Lei Yang, Dagnenet Fenta Mekonnen. Hydrological evaluation of open-access precipitation and air temperature datasets using SWAT in a poorly gauged basin in Ethiopia, Journal of Hydrology, 2019, 569: 612-626.
[18] Haoyuan Hong, Yamin Miao*, Junzhi Liu*, A-Xing Zhu. Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping. Catena, 2019, 176, 45-64.
[19] Jingchao Jiang, Junzhi Liu*, Changxiu Cheng, Jingzhou Huang, Anke Xue. Automatic estimation of urban waterlogging depths from video images based on ubiquitous reference objects. Remote Sensing, 2019, 11: 587.
[20] Desheng Wang, Junzhi Liu*, A-Xing Zhu*, Shu Wang, Canying Zeng, Tianwu Ma. Automatic extraction and structuration of soil-environment relationship information from soil survey reports. Journal of Integrative Agriculture, 2019, 18 (2), 328-339.
[21] Liming Zhu, Junzhi Liu*, A-Xing Zhu, Zheng Duan. Spatial evaluation of L-band satellite-based soil moisture products in the upper Huai River basin of China, European Journal of Remote Sensing, 2019, 52(1): 194-205.
[22] Haoyuan Hong, Junzhi Liu*, A-Xing Zhu**. Landslide susceptibility evaluating using artifcial intelligence method in the Youfang district (China). Environmental Earth Sciences, 2019, 78, 488.
[23] Liming Zhu, Junzhi Liu*, A-Xing Zhu, Meiling Sheng, Zheng Duan. Spatial distribution of diurnal rainfall variation in summer over China, Journal of Hydrometeorology, 2018, 19(4): 667-678.
[24] Meiling Sheng, Junzhi Liu*, A-Xing Zhu, David G.Rossiter, Liming Zhu, Guoqiang Peng. Evaluation of CLM-Crop for maize growth simulation over Northeast China, Ecological Modelling, 2018, 377: 26-34.
[25] Hui Wu, A-Xing Zhu, Junzhi Liu*, Yongbo Liu, Jingchao Jiang. Best management practices optimization at watershed scale: incorporating spatial topology among fields. Water Resources Management, 2018, 32:155-177.
[26] Jingchao Jiang, Junzhi Liu*, Cheng-Zhi Qin, Dongliang Wang. Extraction of urban waterlogging depth from video images using transfer learning. Water, 2018, 10, 1485.
[27] A-Xing Zhu, Yamin Miao, Lin Yang, Shibiao Bai, Junzhi Liu*, Haoyuan Hong*. Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping. Catena, 2018, 171, 222-233.
[28] A-Xing Zhu, Yamin Miao, Rongxun Wang, Tongxin Zhu, Yongcui Deng, Junzhi Liu*, Lin Yang, Cheng-Zhi Qin, Haoyuan Hong*. A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping, Catena, 2018, 166: 317-327.
[29] Haoyuan Hong, Paraskevas Tsangaratos*, Ioanna Ilia, Junzhi Liu*, A-Xing Zhu, Wei Chen. Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China. Science of The Total Environment, 2018, 625:575-588.
[30] 宋挺, 龚绍琦, 刘军志*, 顾征帆, 石浚哲. 浑浊二类水体的高分四号卫星大气校正效果分析. 光谱学与光谱分析, 2018, 38(4): 1191-1197.
[31] 高会然, 沈琳, 刘军志*, 朱阿兴, 秦承志, 朱良君. 中国南方丘陵区非点源污染过程模拟研究进展. 地理信息科学, 2017(19):1080-1088.
[32] 江净超, 余洁, 秦承志, 刘军志*, 李润奎, 朱良君, 朱阿兴. 知识驱动下的水文模型参数智能化设置方法. 武汉大学学报∙信息科学版, 2017, 42(4): 525-530.
[33] Junzhi Liu, A-Xing Zhu, Cheng-Zhi Qin, Hui Wu, Jingchao Jiang. A two-level parallelization method for distributed hydrological models. Environmental Modeling and Software, 2016, 80:175-184.
[34] Zheng Duan, Junzhi Liu*, Ye Tuo, Chiogna Gabriele, Disse Markus. Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales. Science of The Total Environment, 2016, 573:1536–1553.
[35] 江净超,刘军志*,秦承志,缪亚敏,朱阿兴. 中国近地表气温直减率及其季节和类型差异. 地理科学进展, 2016(12):1538-1548.
[36] 宋挺,周文鳞,刘军志*,龚绍琦,石浚哲,吴蔚. 利用高光谱反演模型评估太湖水体叶绿素a含量分布. 环境科学学报, 2016, doi:10.13671/j.hjkxxb.2016.0438.
[37] 宋挺,刘军志*,顾征帆,徐超,江岚. 利用多源遥感数据预警太湖沉水植物与藻类水华过程的实例研究. 环境污染与防治, 2016, 38(4):12-17.
[38] 宋挺,刘军志*,胡婷婷,盛世杰,严飞,冬梅,周文麟. MODIS气溶胶光学厚度产品和激光雷达数据在大气颗粒物监测中的应用. 遥感技术与应用,2016,31(2):397-404.
[39] 宋挺,段峥,刘军志*,严飞,盛世杰,黄君,吴蔚. 基于 Landsat-8卫星遥感数据的地表温度反演算法对比研究. 遥感学报, 2015, 19(3):451-464.
[40] Junzhi Liu, Zheng Duan, Jingchao Jiang, A-Xing Zhu. Evaluation of three satellite precipitation products TRMM 3B42, CMORPH and PERSIANN over a subtropical watershed in China. Advances in Meteorology, 2015, doi:10.1155/2015/151239.
[41] 刘军志, 朱阿兴, 秦承志, 江净超, 朱良君, 沈琳. 论地理规律对流域过程模拟并行计算的指导作用. 地球信息科学学报, 2015, 17(6):1-9.
[42] Junzhi Liu, A-Xing Zhu, Yongbo Liu, Tongxin Zhu, Cheng-Zhi Qin. A layered approach to parallel computing for spatially distributed hydrologic modeling. Environmental Modeling and Software, 2014, 51(1):221-227.
[43] 刘军志, 朱阿兴, 刘永波, 秦承志, 陈腊娇, 吴辉, 杨琳. 基于栅格分层的逐栅格汇流算法并行化研究. 国防科技大学学报, 2013, 35(1):123-129.
[44] 刘军志, 朱阿兴, 秦承志, 陈腊娇, 吴辉, 江净超. 分布式水文模型的并行计算研究进展. 地理科学进展, 2013, 32(4):538-547.
[45] Junzhi Liu, A-Xing Zhu, Cheng-Zhi Qin. Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models. Computers & Geosciences, 2013, 60(10):58-62.
[46] Junzhi Liu, A-Xing Zhu, Zheng Duan. Evaluation of TRMM 3B42 precipitation product using rain gauge data in meichuan watershed, Poyang Lake Basin, China. Journal of Resources and Ecology, 2012, 3(4):359-366.
[47] 刘军志, 宋现锋, 汪超亮, 胡勇. 基于OGC WPS的遥感图像分布式检索系统研究. 地理与地理信息科学, 2008, 24(4):1-5.