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招生方向 地理建模环境,数字地形分析,流域模拟和情景分析,地理计算并行化 学位 1997年毕业于东南大学计算机科学与工程系(学士学位) 2000年毕业于中科院兰州地质研究所气体地球化学国家重点实验室(硕士学位) 2004年毕业于中科院地理资源所资源与环境信息系统国家重点实验室(博士学位)。 工作经历 2006年9月至今,中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,2014年10月晋升研究员。 2004年4月-2006年9月,中科院地理科学与资源研究所做博士后。 教授课程 流域分析与建模 获奖情况 中国测绘地理信息学会测绘科技进步奖一等奖(“地貌类型分类与精确划分关键技术研究及应用”,个人排名第四),2017 教育部高校自然科学二等奖(“数字地形分析的理论与方法研究”;个人排名第三),2016 "Best Paper Award" of Geomorphometry'2013 中国科学院王宽诚奖励基金,卢嘉锡青年人才奖,2011年 入选"中国科学院青年创新促进会"会员(2012~2015年),2011年;2016年优秀会员 入选中科院地理资源所"秉维优秀青年人才计划",2011年 科研活动 担任IJGIS、Transactions in GIS、Computers & Geosciences、Environmental Modelling & Software、IJDE、Journal of Hydrology、Geomorphology、Geoderma等30余份SCI期刊及测绘学报、地理研究、中国图象图形学报、地球信息科学学报等10余份国内期刊的审稿人。 2013年5月~2016年,担任资源与环境信息系统国家重点实验室学委会秘书。 承担科研项目 主持的项目及课题主要包括: > 国家自然科学基金面上项目“基于坡位单元边界动态调整的流域管理措施情景优化方法”(41871362;2019~2022); > 科技部国家科技基础资源调查专项项目课题“红树林资源遥感监测与评估”(2017FY100706;2017-2021); > 国家自然科学基金优秀青年基金项目“数字地形分析”(41422109;2015~2017); > 国家科技支撑计划项目“南方红壤水土流失治理技术研究与示范”课题下设任务“南方红壤区水土流失治理综合模拟与情景分析研究”(2013~2015); > 863计划地球观测与导航技术领域主题项目“面向新型硬件架构的复杂地理计算平台”课题“地理空间计算并行算法与中间件”子课题(2011~2013); > 国家自然科学基金面上项目“基于原型理论的坡位空间渐变信息定量方法”(40971235;2010~2012); > 中科院知识创新工程重要方向项目群项目“地表过程建模环境和模型集成研究”课题“面向地表过程综合建模的地学要素定量计算方法研究”(2009~2011); > 国家自然科学基金青年基金项目“自适应多流向算法(MFD)研究”(40501056;2006~2008)。 主要参加的项目包括: > 中科院A类战略性先导科技专项项目“生态文明建设地理图景技术与应用示范”(XDA2310;2019~2023); > 国家自然科学基金委重点基金“基于地理环境相似性的地理变量空间变化推测的理论与方法研究”(41431177;2015~2019); > 2011-2013年,863计划地球观测与导航技术领域主题项目“面向新型硬件架构的复杂地理计算平台”; > 2007-2008年,国家环保部专项“全国土壤污染调查数据库与集成应用系统设计与开发(一、二期)”。 学术会议报告 > 以机器学习方法利用已有专家勾绘地图和DEM的撞击坑自动提取方法. 数字山地委员会2018年(第四届)学会研讨会,东北师范大学,2018.9.7~11. (大会报告) > Detecting craters by training random forest based on existing crater map and spatial structural information. Geomorphometry'2018, August 13–17, 2018, Boulder CO, USA. > Using slope positions as spatial configuration units for optimizing watershed best management practices. AAG Annual Meeting 2018, April 10~14, New Orleans. > Automation of typical location-based derivation of fuzzy slope positions. Geoinformatics 2017, August 2-4. Baffulo, NY. > Digital soil mapping with Soil Land Inference Model (SoLIM): considering the spatial distance to soil samples. Pedometrics2017, June 26 – July 1. Netherland. > An approach to extracting the supply relationship between glaciers and lakes on Tibetan Plateau. Geoinformatics 2016: The 24th International Conference on Geoinformatics, Galway, Ireland, August 14-20, 2016. > A method for applying application context knowledge in digital terrain analysis to automated modeling. The Third International Conference on CyberGIS and Geospatial Data Science (CyberGIS’2016), July 26–28, 2016, University of Illinois Urbana-Champaign, Illinois, USA. > Deriving the spatial distribution of specific catchment area by applying a differential equation to gridded digital elevation models. AAG Annual Meeting, San Francisco, March 29-Aprial 2, 2016. > 河网提取参数设置知识的案例表达与推理应用. 2015年中国地理学会(华北地区)暨黄河分会学术年会,山东师范大学,2015年9月26-27日. > 地形元素的多尺度综合提取方法. 2015地貌与第四纪学术研讨会,北京大学,2015年8月28-29日. > 基于流线微分方程计算单位汇水面积空间分布的并行算法. 2015中国地理信息科学理论与方法学术年会,乌鲁木齐,2015年8月8日~9日. > 启发式的数字地形分析可视化建模环境原型. 中国地理学会2014年学术年会,2014年10月24-27日,成都. > 栅格地理计算的算法并行化策略研究. 中国地理信息产业协会理论与方法专业委员会2014 年学术研讨会,2014年10月11-12日,江苏徐州. > A Browser/Server-based Prototype of Heuristic Modelling Environment for Digital Terrain Analysis. Geomorphometry’2013, Nanjing Normal University, October 15~20, 2013. (“Best Paper Award”) > “中国地理信息科学领域科研人员心目中的本领域国际学术期刊等级”问卷调查报告. 2013中国地理信息科学理论与方法学术年会,福州,2013年10月13日. > 兼容多种常用并行计算平台的栅格地理计算并行算子研究. 第14次全国青年地理工作者学术研讨会,北京,2013年10月12日. > 如何让一个地形分析新算法走出实验室?中国地理学会2013年(华北地区)学术年会,天津师范大学,2013年9月15~17日. > DEM误差对基于专家知识滑坡危险性评价的影响. 第十二届海峡两岸地貌与环境灾害学术研讨会,国立台湾大学,2011年10月15日~23日. > Software prototyping of a heuristic and visualized modeling environment for digital terrain analysis. 11th International Conference on GeoComputation, 20-22 July, 2011, University College London, UK. > A graph-theory-based method for parallelizing the multiple-flow-direction algorithm on CUDA compatible Graphics Processing Units. 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM 2011), in conjunction with Eighth Beijing International Workshop on Geographical Information Science (BJ-IWGIS 2011), June 29-July 1, Fuzhou, P.R. China. > Fuzzy slope positions and spatial distribution of soil organic matter in a small catchment. Pedometrics’09, Beijing, China, Aug. 31~Sept. 2, 2009. > 坡位渐变信息与土壤类型空间分布间的关系初探. 中国地理学会2008年学术年会,长春,2008年7月14~15日. > Topographic wetness index computed using multiple flow direction algorithm and local maximum downslope gradient. Proceedings of 7th international Workshop on Geographical Information System (IWGIS’07), Beijing, China, September 14-15, 2007. > Fuzzy representation of spatial gradation of slope position. International Symposium on Terrain Analysis and Digital Terrain Modeling, Nanjing, China, Nov. 23-25, 2006. > 坡位渐变信息的模糊推理. 中国地理学会2006年学术年会,兰州,2006年8月19~21日. > Taxonomy of Visualization Techniques and Systems – Concerns between Users and Developers are Different. AsiaGIS’2003, 15-18 Oct. 2003, Wuhan, China. 邀请报告 > Toward faster and more easily digital terrain analysis. 2015-8-21, 东北亚-中亚地区资源环境数据共享国际培训班(International Workshop on Northeast Asia-Central Asia Regional Resources and Environment Data Sharing. 2015年8月10-29日) > 基于栅格DEM的地形属性算法研究(1天授课与研讨,含半天实验课). 2015年8月20日,北京,数字地形分析暑期研究生高级研修班(苏州高新区中科地理信息系统培训中心,资源与环境信息系统国家重点实验室;2015年8月17~21日) > How to make digital terrain analysis faster and more easily? 2013-11-13,北京,发展中国家科技国际培训(兴都库什-喜马拉雅地区国际科学数据共享)班(中科院国际合作局资助,资源与环境信息系统国家重点实验室地球系统科学数据共享中心、国家科技基础条件平台-地球系统科学数据共享平台承办)主题报告 > Digital Terrain Analysis for Digital Soil Mapping(3小时英文授课,含45分钟实验),2012.12.6,南京,作为Training Workshop on the Update of Harmonized World Soil Database (HWSD) (2012.12.5~7,中国科学院南京土壤研究所、“亚洲土壤伙伴计划(Asia Soil Partnership, ASP)”秘书处主办)地形分析授课讲师

研究领域

数字地形分析、流域模拟和情景分析、地理建模的智能化。 基于栅格DEM,对地形要素从地形属性、地形部位等不同层次上进行精细定量刻画,开展建模、算法设计、定量评价、工具研发和示范应用等方面的研究;通过研发知识驱动的地形分析建模环境,使得用户易于应用数字地形分析,获得进行地表过程建模所需的精细地形参数。所设计的多流向算法已被ArcGIS、SAGA等GIS软件所集成。

近期论文

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部分英文期刊论文 > Zhu L-J, Qin C-Z*, Zhu A-X. Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units. Progress in Physical Geography: Earth and Environment, accepted. (SCI) > Qin C-Z, An Y-M, Liang P, Zhu A-X*, Yang L. Soil property mapping by combining spatial distance information into Soil Land Inference Model (SoLIM). Pedoshpere, in press. doi:10.1016/S1002-0160(20)60016-9. (SCI) > Zhao C, Qin C-Z*. 10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 169: 389-405. (SCI) 相关数据集:(1)赵传朋, 秦承志*. 基于遥感的2019年中国红树林分布数据. V1. Science Data Bank. http://www.dx.doi.org/10.11922/sciencedb.00245. (2020-10-16);(2)赵传朋, 秦承志*. 包含红树林的中国南方海岸土地覆被样本集. V2. Science Data Bank. http://www.dx.doi.org/10.11922/sciencedb.00279. (2020-12-03);(3)赵传朋, 秦承志*. 基于遥感的2017年中国红树林分布数据. V1. Science Data Bank. > Liang P, Qin C-Z*, Zhu A-X, Zhu T-X, Hou Z-W, Fan N-Q, Wang Y-J. Using the most similar case method to automatically select environmental covariates for predictive mapping. Earth Science Informatics, 2020, 13(3), 719-728. (SCI) > Liang P, Qin C-Z*, Zhu A-X, Hou Z-W, Fan N-Q, Wang Y-J. A case-based method of selecting covariates for digital soil mapping. Journal of Integrative Agriculture, 2020, 19(8): 2127-2136. (SCI) > Xia Q, Qin C-Z*, Li H, Huang C, Su F-Z, Jia M-M. Evaluation of submerged mangrove recognition index using multi-tidal remote sensing data. Ecological Indicators, 2020, 113, 106196. (SCI) > Ma T-W, Wei T-F, Qin C-Z*, Zhu A-X*, Qi F, Liu J, Zhao F-H, Pan H. In-situ recommendation of alternative soil samples during field sampling based on environmental similarity. Earth Science Informatics, 2020, 13(1): 39-53. (SCI) > Fan N-Q, Zhu A-X, Qin C-Z*, Liang P. Digital soil mapping over large areas with invalid environmental covariate data. ISPRS International Journal of Geo-Information, 2020, 9, 102. (SCI) > Zhao C, Qin C-Z*, Teng J. Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 159: 256-270. (SCI) 相关数据集:赵传朋, 秦承志*. 基于10米分辨率SAR影像的2017年中国红树林分布区的潮滩数据. V1. Science Data Bank. > Zhu L-J, Liu J-Z*, Qin C-Z*, Zhu A-X. A modular and parallelized watershed modeling framework. Environmental Modelling & Software, 2019, 122, 104526. doi: 10.1016/j.envsoft.2019.104526 (SCI) (SEIMS open source@github) > Jiang J-C, Zhu A-X, Qin C-Z*, Liu J-Z. A knowledge-based method for automatic construction of hydrological model structures. Journal of Hydroinformatics, 2019, 21(6): 1163-1178. (SCI) > Hou Z-W, Qin C-Z*, Zhu A-X, Liang P, Wang Y-J, Zhu Y-Q. From manual to intelligent: A review of input data preparation methods for geographic modeling. ISPRS International Journal of Geo-Information, 2019, 8(9), 376. (SCI) > Wang Y-J, Qin C-Z*, Zhu A-X. Review on algorithms of dealing with depressions in grid DEMs. Annals of GIS, 2019, 25(2): 83-97. doi: 10.1080/19475683.2019.1604571. (ESCI) > Zhao F-H, Qin C-Z*, Wei T-F, Ma T-W, Qi F, Liu J-Z, Zhu A-X. Dynamic recommendation of substitute locations for inaccessible soil samples during field sampling campaign. ISPRS International Journal of Geo-Information, 2019, 8(3), 127. (SCI) > Zhu L-J, Qin C-Z*, Zhu A-X, Liu J-Z, Wu H. Effects of different spatial configuration units for spatial optimization of watershed beneficial management practices scenarios. Water, 2019, 11(2), 262. (SCI) > Qin C-Z, Gao H-R, Zhu L-J*, Zhu A-X, Liu J-Z, Wu H. Spatial optimization of watershed best management practices based on slope position units. Journal of Soil and Water Conservation, 2018, 73(5): 504-517. (SCI) > Xia Q, Qin C-Z*, Li H, Huang C, Su F-Z. Mapping mangrove forests based on multi-tidal high-resolution satellite imagery. Remote Sensing, 2018, 10(9), 1343. (SCI; citation: 10+;所提出SMRI指数被同行应用后的Landsat Science报导) > Zhu L-J, Zhu A-X, Qin C-Z*, Liu J-Z. Automatic approach to deriving fuzzy slope positions. Geomorphology, 2018, 304: 173-183. (SCI; program download) > Ai B-B, Qin C-Z*, Ye Q-H, Zhu A-X, Cogley G. An approach to extracting the surface supply relationships between glaciers and lakes on the Tibetan Plateau. International Journal of Digital Earth, 2018, 11(11): 1151-1165. doi: 10.1080/17538947.2017.1374475. (SCI; 50 free eprints) > Qin C-Z, Ai B-B, Zhu A-X, Liu J-Z. An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models. Computers & Geosciences, 2017, 100: 94-102. doi: 10.1016/j.cageo.2016.12.009.(SCI) > Qin C-Z, Wu X-W, Jiang J-C, Zhu A-X. Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks. Hydrology and Earth System Sciences, 2016, 20: 3379-3392.(SCI) > Qin C-Z, Zhan L-J, Zhu A-X, Zhou C-H. A strategy for raster-based geocomputation under different parallel computing platforms. International Journal of Geographical Information Science, 2014, 28(11): 2127-2144. (SCI;50 free eprints; citation: 30+) > Qin C-Z, Zhan L-J, Zhu A-X. How to apply the Geospatial Data Abstraction Library (GDAL) properly to parallel geospatial raster I/O? Transactions in GIS, 2014, 18(6): 950-957. (SSCI; citation: 20+) > Qin C-Z, Bao L-L, Zhu A-X*, Wang R-X, Hu X-M. Uncertainty due to DEM error in landslide susceptibility mapping. International Journal of Geographical Information Science, 2013, 27(7): 1364-1380. (SCI;50 free eprints) > Qin C-Z, Bao L-L, Zhu A-X, Hu X-M, Qin B. Artificial surfaces simulating complex terrain types for evaluating grid-based flow direction algorithms. International Journal of Geographical Information Science, 2013, 27(6): 1055-1072. (SCI; 50 free eprints; 详细推导过程; 实现在SimDTA tool中) > Zhan L-J, Qin C-Z*, Zhu A-X. Which type of slope gradient should be used to determine flow-partition proportion in multiple-flow-direction algorithms—tangent or sine? Hydrology and Earth System Sciences Discussions, 2012, 9: 6409-6418. > Qin C-Z, L-J Zhan. Parallelizing flow-accumulation calculations on Graphics Processing Units—from iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm. Computers & Geosciences, 2012, 43: 7-16. (SCI; "Top 25 Hottest Articles" of Computers & Geosciences:3rd (April to June 2012); 8th (July to September 2012); 12th (2012 full year); citation: 40+) > Qin C-Z, A-X Zhu, W-L Qiu, Y-J Lu, B-L Li, T Pei. Mapping soil organic matter in small low-relief catchments using fuzzy slope position information. Geoderma, 2012, 171-172: 64-74. (SCI; citation: 30+) > Qin C-Z, A-X Zhu, T Pei, et al. An approach to computing topographic wetness index based on maximum downslope gradient. Precision Agriculture, 2011, 12(1): 32-43. (SCI; citation: 60+; in SimDTA tool; 集成在SAGA中-被实现为默认4邻域) > Qin C-Z, A-X Zhu*, X Shi, et al. Quantification of spatial gradation of slope positions. Geomorphology, 2009, 110: 152-161. (SCI; citation: 30+) > Qin C, A-X Zhu, T Pei, et al. An adaptive approach to selecting a flow-partition exponent for a multiple-flow-direction algorithm. International Journal of Geographical Information Science, 2007, 21(4): 443-458. (SCI;50 free eprints; citation: 70+; in SimDTA tool; 已集成在ArcGIS中;集成在SAGA中-被实现为默认4邻域) > Zhu A-X, Zhao F-H, Liang P, Qin C-Z. Next generation of GIS: must be easy. Annals of GIS, 2020. doi: 10.1080/19475683.2020.1766563. (ESCI) > Jiang J, Qin C-Z, Yu J, Cheng C*, Liu J, Huang J. Obtaining urban waterlogging depths from video images using synthetic image data. Remote Sensing, 2020, 12, 1014. (SCI) > Yang L, Song M, Zhu A-X, Qin C-Z, Zhou C, Qi F, Li X, Chen Z, Gao B. Predicting soil organic carbon content in croplands using crop rotation and Fourier transform decomposed variables. Geoderma, 2019, 340: 289-302. (SCI) > Cheng W, Zhu A-X*, Qin C-Z, Qi F. Updating conventional soil maps by mining soil–environment relationships from individual soil polygons. Journal of Integrative Agriculture, 2019, 18(2): 265-278. (SCI) > Xue X, Han H, Wang S, Qin C-Z. Computational experiment-based evaluation on O2O service recommendation strategies. IEEE Transactions on Services Computing, 2019, 12(6): 910-924. (SCI) > Zhu A-X, Lv G, Liu J, Qin C-Z, Zhou C. Spatial prediction based on Third Law of Geography. Annals of GIS, 2018, 24(4): 225-240. doi: 10.1080/19475683.2018.1534890. (ESCI; Annals of GIS's“The Most Cited Paper 2018”Award) > Jiang J, Liu J*, Qin C-Z, Wang D. Extraction of urban waterlogging depth from video images using transfer learning. Water, 2018, 10(10), 1485. (SCI) > Shi J, Yang L*, Zhu A-X, Qin C-Z, Liang P, Zeng C, Pei T. Machine-learning variables at different scales vs. knowledge-based variables for mapping multiple soil properties. Soil Science Society of America Journal, 2018, 82: 645-656. (SCI) > Zhang G, Zhu A-X*, Windels S K, Qin C-Z. Modelling species habitat suitability from presence-only data using kernel density estimation. Ecological Indicators, 2018, 93: 387-396. (SCI) >Zhang G, Zhu A-X, Huang Z-P, Ren G, Qin C-Z, Xiao W. Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena. Transactions in GIS, 2018, 22(1): 149-164. (SCI) > An Y, Yang L*, Zhu A-X, Qin C-Z, Shi J. Identification of representative samples from existing samples for digital soil mapping. Geoderma, 2018, 311: 109-119. (SCI) > Zeng C, Yang L*, Zhu A-X, Rossiter D G, Liu J, Liu J-Z, Qin C-Z, Wang D. Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method. Geoderma, 2016, 281: 69-82. (SCI) > Liu J-Z, Zhu A-X*, Qin C-Z*, Wu H, Jiang J-C. A two-level parallelization method for distributed hydrological models.Environmental Modelling & Software, 2016, 80: 175-184. (SCI) > Zhang S-J, Zhu A-X*, Liu J, Yang L, Qin C-Z, An Y-M. A heuristic uncertainty directed field sampling design for digital soil mapping.Geoderma, 2016, 267: 123-136. (SCI) > Jiang J-C, Zhu A-X*, Qin C-Z, Zhu T, Liu J-Z, Du F, Liu J, Zhang G-M, An Y-M. CyberSoLIM: A cyber platform for digital soil mapping.Geoderma, 2016, 263: 234-243. (SCI) > Zhu A-X, Zhang G-M, Wang W, Xiao W, Huang Z-P, Ge-Sang D, Ren G-P, Qin C-Z, Yang L, Pei T, Yang S. A citizen data-based approach to predictive mapping of spatial variation of natural phenomena.International Journal of Geographical Information Science, 2015, 29(10): 1864-1886. (SCI) > Zhu A-X, Liu J*, Du F, Zhang S, Qin C-Z, Burt J, Behrens T, Scholten T. Predictive soil mapping with limited sample data.European Journal of Soil Science, 2015, 66(3): 535-547. (SCI) > Zhu A-X, Wang R, Qiao J, Qin C-Z, Chen Y, Liu J, Du F, Yang L, Zhu T. An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic.Geomorphology, 2014, 214: 128-138. (SCI) > Liu J-Z, Zhu A-X, Liu Y-B, Zhu T-X, Qin C-Z. A layered approach to parallel computing for spatially distributed hydrologic modeling.Environmental Modelling & Software, 2014, 51: 221-227. (SCI) > Liu J-Z, A-X Zhu, C-Z Qin. Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models.Computers & Geosciences, 2013, 60: 58-62. (SCI) > Yang L, A-X Zhu*, F Qi, C-Z Qin, B-L Li, T Pei. An integrative hierarchical stepwise sampling strategy and its application in digital soil mapping.International Journal of Geographical Information Science, 2013, 27(1): 1-23. (SCI) > Zhu A X, Yang L, Li B L, Qin C Z, Pei T, Liu B Y. Construction of membership functions for predictive soil mapping under fuzzy logic.Geoderma, 2010, 155(3-4): 164-174. (SCI) > Pei T, C-Z Qin, A-X Zhu, et al. Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods.Ecological Indicators, 2010, 10(3): 610-619. (SCI) > Yong B, W-C Zhang, G-Y Niu, L-L Ren, C-Z Qin. Spatial statistical properties and scale transform analyses on the topographic index derived from DEMs in China.Computers & Geosciences, 2009, 35: 592-602. (SCI) > Qi F, Zhu A-X, Pei T, Qin C-Z, Burt J E. Knowledge discovery from area-class resource maps: capturing prototype effects.Cartography and Geographic Information Science, 2008, 35(4): 223-237. (EI) Book chapters & Entries: > Qin C-Z, Zhu L-J. GDAL/OGR and Geospatial Data IO Libraries. The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2020 Edition), John P. Wilson (Ed.). DOI:10.22224/gistbok/2020.4.1 > Qin C-Z. Cuda/GPU (Entry id: 451957). Encyclopedia of GIS (Second Edition), edited by Shashi Shekhar, Hui Xiong, and Xun Zhou. Springer, 2016. (ISBN: 978-3-319-17884-4) DOI:10.1007/978-3-319-23519-6_1606-1 部分中文期刊论文 > 秦承志. 数字地形分析方法研究的维度——精准、高效、易用. 地球信息科学学报,2020,22(4):720-730. > 高会然,秦承志*,朱良君,朱阿兴,刘军志,吴辉. 以坡位为空间配置单元的流域管理措施情景优化方法. 地球信息科学学报,2018,20(6):781-790. > 王彦文,秦承志*. 地貌形态类型的自动分类方法综述. 地理与地理信息科学,2017,33(4):16-21. > 呼雪梅,秦承志*. 数字地形分析中适宜分析窗口选择方法的实用性分析. 武汉大学学报(信息科学版),2017,42(10):1365-1372. > 康鑫,王彦文,秦承志*,程维明,赵尚民,朱阿兴,张文诗. 多分析尺度下综合判别的地形元素分类方法. 地理研究,2016,35(9):1637-1646. > 吴雪薇,秦承志*,朱阿兴. 数字地形分析应用适配性知识的案例表达与推理应用方法. 地理科学进展,2016,35(1):89-97. > 艾贝贝,秦承志*,朱阿兴. 栅格地理计算并行算子对区域计算算法并行化的可用性研究——以多流向算法为例. 地球信息科学学报,2015,17(5):562-567. > 秦承志,陈旻. 地理信息科学领域国际学术期刊等级的调查分析. 地理学报,2014,69(4):566-572. (简介及调查报告) > 呼雪梅,秦承志*. 地形信息对确定DEM适宜分辨率的影响分析. 地理科学进展,2014,33(1):50-56. > 秦承志,呼雪梅. 栅格数字地形分析中的尺度问题研究方法. 地理研究,2014,33(2):270-283. > 包黎莉,秦承志*,朱阿兴,呼雪梅. DEM误差对滑坡危险性评价模型的影响. 地理科学进展,2012,31(10):1326-1333. > 卢岩君,秦承志*,邱维理,等. 基于少量典型样点土壤属性空间分布推测模型中的土壤属性参数敏感性分析. 地理科学,2011,31(12):1549-1554. > 包黎莉,秦承志*,朱阿兴. 地形湿度指数算法的误差定量评价研究. 地理科学进展,2011,30(1):57-64. > 秦承志,卢岩君,邱维理,等. 模糊坡位信息在精细土壤属性空间推测中的应用. 地理研究,2010,29(9):1706-1714. > 秦承志,卢岩君,包黎莉,等. 简化数字地形分析软件(SimDTA)及其应用——以嫩江流域鹤山农场的坡位模糊分类应用为例. 地球信息科学学报,2009,11(6):737-743. (下载SimDTA) > 秦承志,朱阿兴,李宝林,等. 坡位的分类及其空间分布信息的定量化. 武汉大学学报(信息科学版),2009,34(3):374-377. > 秦承志,朱阿兴,施迅,等. 坡位渐变信息的模糊推理. 地理研究,2007,26(6):1165-1174. > 秦承志,杨琳,朱阿兴,等. 平缓地区地形湿度指数的计算方法. 地理科学进展,2006,25(6):87-93,图版I. > 秦承志,朱阿兴,李宝林,等. 基于栅格DEM的多流向算法述评. 地学前缘,2006,13(3):91-98. > 秦承志,李宝林,朱阿兴,等. 水流分配策略随下坡坡度变化的多流向算法. 水科学进展,2006,17(4):450-456. > 朱阿兴,闾国年,周成虎,秦承志. 地理相似性:地理学的第三定律?地球信息科学学报,2020,22(4):673-679. > 朱阿兴,朱良君,史亚星,秦承志,刘军志. 流域系统综合模拟与情景分析——自然地理综合研究的新范式?地理科学进展,2019,38(8):1111-1122. > 史静静,杨琳,曾灿英,朱阿兴,秦承志,梁朋. 多种土壤属性的相关环境因子及其作用尺度研究——以黑龙江鹤山农场研究区为例. 地理研究,2018,37(3):635-646. > 张磊,朱阿兴,杨琳,秦承志,刘军志,刘雪琦. 基于分融策略的土壤采样设计方法. 土壤学报,2017,54(5):1079-1090. > 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. > 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研究. 地理科学进展,2016,35(12):1538-1548. > 吴辉,刘永波,秦承志,刘军志,江净超,朱阿兴*. 流域最佳管理措施情景优化算法的并行化. 武汉大学学报(信息科学版),2016,41(2):202-207. > 谢军,秦承志,肖桂荣,杨琳,雷秋良,刘军志,朱阿兴. 模糊聚类方法在南方红壤小流域土壤属性制图中的应用——以长汀朱溪河小流域为例. 中国水土保持科学,2015,13(5):132-139. > 刘军志,朱阿兴*,秦承志,江净超. 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(5):506-514. > 江净超,朱阿兴,秦承志,刘军志. 分布式水文模型建模工具研究综述. 地理科学进展,2014,33(8):1090-1100. > 张桂铭,朱阿兴,杨胜天,秦承志,肖文,Steve K. Windels. 基于核密度估计的动物生境适宜度制图方法. 生态学报,2013,33(23):7590-7600. > 江净超,朱阿兴,秦承志,杨琳,刘峰,张淑杰. CyberSoLIM:基于知识驱动的在线数字土壤制图原型系统. 土壤学报,2013,50(6):149-153. > 吴立新,杨宜舟,秦承志,张树清,张立强,方金云,孙文彬,刘善军. 面向新型硬件构架的新一代GIS基础并行算法研究. 地理与地理信息科学,2013,29(4):1-8. > 马益杭,占利军,谢传节,秦承志. 连通域标记算法的并行化研究. 地理与地理信息科学,2013,29(4):67-71. > 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. > 刘京,朱阿兴,张淑杰,秦承志. 基于样点个体代表性的大尺度土壤属性制图方法. 土壤学报,2013,50(1):12-20. > 朱阿兴,陈腊娇,秦承志,王平,刘军志,李润奎,蔡强国. 水土流失治理新范式:基于流域过程模拟和情景分析的方法. 应用生态学报,2012,23(7):1883-1890. > 杨琳,朱阿兴,秦承志,李宝林,裴韬. 一种基于样点代表性等级的土壤采样设计方法. 土壤学报,2011,48(5):938-946. > 陈腊娇,朱阿兴,秦承志,李润奎,刘京,刘军志. 流域生态水文模型研究进展. 地理科学进展,2011,30(5):535-544. > 李润奎,朱阿兴,秦承志,陈腊娇,刘军志. 土壤数据对分布式流域水文模型模拟效果的影响. 水科学进展,2011,22(2):168-174. > 杨琳,S Fahmy,焦有,S Hann,朱阿兴,秦承志. 基于土壤-环境关系的更新传统土壤图研究. 土壤学报,2010,47(6):1039-1049. > 杨琳,朱阿兴,秦承志,李宝林,裴韬. 运用模糊隶属度进行土壤属性制图的研究——以黑龙江鹤山农场研究区为例. 土壤学报,2009,46(1):9-15. > 孙孝林,赵玉国,秦承志,李德成,赵量,张甘霖. DEM水平分辨率对多元线性土壤-景观模型及其制图应用的影响. 土壤学报,2008,45(5):971-977. > 杨琳,朱阿兴,李宝林,秦承志,裴韬,刘宝元,李润奎,蔡强国. 应用模糊c均值聚类获取土壤制图所需土壤-环境关系知识的方法研究. 土壤学报,2007,44(5):791-798.

学术兼职

现任《地理研究》编委、《Water》(SCI期刊)编委; 中国地理信息产业协会理论与方法工作委员会秘书长 iEMSs (International Environmental Modelling and Software Society) Board member (2020~2022) Scientific committee of Geomorphometry'2020 ACM SIGSpatial China委员;国际数字地球学会中国国家委员会数字山地专业委员会委员、虚拟地理环境专业委员会委员。 《地球信息科学学报》(2015,17卷5期)“地理计算并行化”专辑客座编辑。

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