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史海匀
副教授(研究员)
0755-88018870

基本概况:

史海匀博士现任91天媒传媒mv在线视频环境科学与工程学院副教授(研究员),清华大学本科、博士。曾在香港大学从事博士后/高级研究助理工作,荣获香江学者奖(2014年)、国家级人才青年项目(2018年)、深圳市海外高层次B类人才(2018年)、大禹水利科学技术一等奖(2022年)。主要研究方向为数字流域与水信息学、气候变化下极端水文事件、水资源可持续发展等。主持或参与国家科技支撑计划、国家自然科学基金等重要科研项目10余项。在水文水资源和环境领域知名国际期刊上发表学术论文70余篇(其中,ESI高被引论文4篇,第一作者或通讯作者50余篇),另有英文专著1部,英文专著章节4部,省部级科学技术成果2项,发明专利1项,软件著作权1项。受邀作为Nature FoodNature CommunicationsWater Resources ResearchGeophysical Research Letters30余种知名国际期刊的审稿人,Journal of Hydrology副主编,6种国际或国内期刊(Geoscience LettersHydroecology and EngineeringPLOS Climate、水资源保护、人民珠江、中国地质调查)编委,5种国际期刊的客座编辑,IPCC第六次评估报告同行评审专家,并担任AOGSAsia Oceania Geosciences Society)年会水文科学2个分会场的第一召集人、AGUAmerican Geophysical Union)年会水文科学1个分会场的第一召集人

 

工作经历(包括现在的任职)

2024.06至今: 91天媒传媒mv在线视频环境科学与工程学院,长聘副教授/研究员,博士生导师

2018.07~2024.05: 91天媒传媒mv在线视频环境科学与工程学院,副教授/研究员,博士生导师

2013.12~2018.06: 香港大学土木工程系,研究助理/博士后/高级研究助理

2012.01~2013.04: 香港大学土木工程系,访问研究助理

 

教育背景:

2008.09~2013.07: 清华大学,水力学及河流动力学专业,博士

2004.09~2008.07: 清华大学,水利水电工程专业,学士

 

社会兼职:

国际水文科学协会(IAHS)中国委员会水文青年分委员会委员

首届中非水协青年委员会(YLCAWAYoung League under the China and Africa Water Association)委员

Associate Editor: Journal of Hydrology

Editorial Board Member: Geoscience LettersHydroecology and EngineeringPLOS Climate、水资源保护、人民珠江、中国地质调查

客座编辑: Environmental Research Communications

亚洲大洋洲地球科学学会(Asia Oceania Geosciences Society, AOGS)年会水文科学分会场召集人

美国地球物理学会(American Geophysical Union, AGU)年会水文科学分会场召集人

IPCC第六次评估报告同行评审专家

30余种国际期刊的审稿人,包括Nature Food, Nature Communications, Geophysical Research Letters, Journal of Hydrology, Water Resources Research

欧洲地球科学联盟2017年会的Outstanding Student Poster and PICO (OSPP) Award评审

美国地球物理联盟2017年会的Outstanding Student Paper Award (OSPA)评审

 

获奖及荣誉

2023: 第三届广东省智慧水利创新大赛——广汇源杯二等奖(优秀指导教师)

2022: 大禹水利科学技术一等奖(6/15

2020: 91天媒传媒mv在线视频第五届青年教师教学竞赛二等奖

2018: 深圳市海外高层次B类人才

2018: 国家级人才青年项目

2016: 欧洲地球科学联盟2017年会的青年科学家参会资助

2015: 中国水利学会2015年学术年会优秀论文奖

2014: 香江学者奖

2009: 清华大学优秀学生干部

2009: 清华大学综合三等奖学金

2005, 2006, 2007: 清华大学学业优秀二等奖学金

 

代表性科研项目:

1. 2024.01~2028.12, 国家自然科学基金重大项目“海平面上升的多圈层作用机制与预估”课题2“全球海洋质量及海平面变化机理和归因研究”(42394132), 子课题负责人

2. 2023.03~2025.02, 水利部粤港澳大湾区水安全保障重点实验室(筹)开放研究基金项目“基于因果关系分析的干旱传播非线性特征研究”(WSGBA-KJ2023011), 项目负责人

3. 2022.11~2026.10, “十四五”国家重点研发计划项目“长江中游新水沙情势下水文连通变化机理及其生态效应研究”课题2“长江中游水沙动力-水文连通-湿地-水生态系统的变化机理及关键影响因素”(2022YFC3201802), 子课题负责人

4. 2021.10~2024.10, 深圳市基础研究专项(自然科学基金)基础研究面上项目“基于大数据云服务体系的深圳市洪涝集合预报”(JCYJ20210324105014039), 项目负责人

5. 2020.01~2022.12, 国家自然科学基金青年基金项目“气候变化影响下社会经济干旱的长期集合预测方法研究:以东江流域为例”(51909117), 项目负责人

6. 2017.01~2019.12, 青海省基础研究计划项目-自然科学基金面上项目“三江源地区气象-水文过程的演变规律及未来趋势”(2017-ZJ-911), 项目负责人

 

研究方向:

1. 水资源

2. 水文模拟

3. 水信息学

4. 气候变化

5. 洪水和干旱

6. 可持续发展

 

学术成果(发表论著或者论文或者专利):

论著:

1. Ferreira T.M. *, Shi H.Y., 2023. Flood Risk in a Climate Change Context - Exploring Current and Emerging Drivers, ISBN: 978-1-80356-603-0, IntechOpen, London, UK.

 

论著章节:

1. Wang Y., Liu S.N., Zhou Z.Q., Shi H.Y. *, 2023. Threshold Recognition Based on Non-stationarity of Extreme Rainfall in the Middle and Lower Reaches of the Yangtze River Basin. In Ferreira T.M. and Shi H.Y. (eds), Flood Risk in a Climate Change Context - Exploring Current and Emerging Drivers, DOI: 10.5772/intechopen.109866.

2. Chen J. *, Shi H.Y., Sun L.Q., Niu J., 2016. Yangtze River Basin. In Singh V.P. (eds), Handbook of Applied Hydrology, Second Edition, Chapter 100. McGraw-Hill.

3. Chen J. *, Shi H.Y., Sun L.Q., Niu J., 2016. Yellow River Basin. In Singh V.P. (eds), Handbook of Applied Hydrology, Second Edition, Chapter 101. McGraw-Hill.

4. Wang G.Q. *, Fu X.D., Shi H.Y., Li T.J., 2015. Watershed sediment dynamics and modeling: a watershed modeling system for Yellow River. In Yang C.T. and Wang L.K. (eds), Advances in Water Resources Engineering, Handbook of Environmental Engineering, Volume 14, Chapter 1, 1-40. Springer Cham Heidelberg New York Dordrecht London. DOI: 10.1007/978-3-319-11023-3_1.

 

论文:

1. Meng F.X., Xie K., Liu P. *, Chen H.Z., Wang Y., Shi H.Y. *, 2024. Extreme precipitation trends in northeast China based on a non-stationary generalized extreme value model. Geoscience Letters, in press

2. Zhou Z.Q., Ding Y.B., Zhao Y.Y., Chen P., Fu Q., Xue P., Liu S.N., Huang S.Z., Shi H.Y. *, 2023. A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis. Environmental Research Letters, 18(10), 104046. DOI: 10.1088/1748-9326/acfe1e

3. Zhou Z.Q., Ding Y.B., Fu Q., Wang C., Wang Y., Cai H.J., Liu S.N., Huang S.Z., Shi H.Y. *, 2023. Insights from CMIP6 SSP scenarios for future characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin. Science of the Total Environment, 899, 165618. DOI: 10.1016/j.scitotenv.2023.165618

4. Wang Y., Liu S.N., Huang S.Z., Zhou Z.Q., Shi H.Y. *, 2023. Bivariate Assessment of Socioeconomic Drought Events Based on an Improved Socioeconomic Drought Index. Journal of Hydrology, 623, 129878. DOI: 10.1016/j.jhydrol.2023.129878

5. Liu S.N., Chen J., Li J.Y., Li T.J., Shi H.Y. *, Sivakumar B., 2023. Building a large dam: Identifying the relationship between catchment area and slope using the confidence ellipse approach. Geoscience Letters, 10, 4. DOI: 10.1186/s40562-022-00260-9

6. Wang Y.Y., Liu S.N., Shi H.Y. *, 2023. Comparison of climate change impacts on the growth of C3 and C4 crops in China. Ecological Informatics, 74, 101968. DOI: 10.1016/j.ecoinf.2022.101968

7. Cai H.J., Liu S.N., Shi H.Y. *, Zhou Z.Q., Jiang S.J., Babovic V., 2022. Toward improved lumped groundwater level predictions at catchment scale: mutual integration of water balance mechanism and deep learning method. Journal of Hydrology, 613, 128495. DOI: 10.1016/j.jhydrol.2022.128495

8. Shi H.Y. *, Zhou Z.Q., Liu L., Liu S.N., 2022. A global perspective on propagation from meteorological drought to hydrological drought during 1902-2014. Atmospheric Research, 280, 106441. DOI: 10.1016/j.atmosres.2022.106441

9. Wang Y., Liu S.N. *, Chen J., Zhou Z.Q., Shi H.Y. *, 2022. Investigating the spatiotemporal variations of extreme rainfall and its potential driving factors with improved partial wavelet coherence. Frontiers in Environmental Science, 10, 951468. DOI: 10.3389/fenvs.2022.951468

10. Zhou Z.Q., Ding Y.B., Fu Q., Wang C., Wang Y., Cai H.J., Liu S.N., Shi H.Y. *, 2022. Comprehensive evaluation of vegetation responses to meteorological drought from both linear and nonlinear perspectives. Frontiers in Earth Science, 10, 953805. DOI: 10.3389/feart.2022.953805

11. Zhou Z.Q., Ding Y.B., Liu S.N., Wang Y., Fu Q., Shi H.Y. *, 2022. Estimating the applicability of NDVI and SIF to gross primary productivity and grain-yield monitoring in China. Remote Sensing, 14(13), 3237. DOI: 10.3390/rs14133237

12. Shi Y.X., Liu S.N., Shi H.Y. *, 2022. Analysis of the Water-Food-Energy Nexus and Water Competition Based on a Bayesian Network. Water Resources Management, 36(9), 3349-3366. DOI: 10.1007/s11269-022-03205-1

13. Shi H.Y. *, Sivakumar B., Liu S.N., Tan X.Z., Najibi N., 2022. Extreme Hydro-Climate Events: Past, Present, and Future. Atmosphere, 13(5), 843. DOI: 10.3390/atmos13050843

14. Zhou Z.Q., Liu S.N., Ding Y.B., Fu Q., Wang Y., Cai H.J., Shi H.Y. *, 2022. Assessing the responses of vegetation to meteorological drought and its influencing factors with partial wavelet coherence analysis. Journal of Environmental Management, 311, 114879. DOI: 10.1016/j.jenvman.2022.114879

15. Shi H.Y. *, Zhao Y.Y., Liu S.N., Cai H.J., Zhou Z.Q., 2022. A new perspective on drought propagation: Causality. Geophysical Research Letters, 49, e2021GL096758. DOI: 10.1029/2021GL096758

16. Tan X.L., Liu S.N. *, Tian Y., Zhou Z.Q., Wang Y., Jiang J.P., Shi H.Y. *, 2022. Impacts of climate change and land use/cover change on regional hydrological processes: case of the Guangdong-Hong Kong-Macao Greater Bay Area. Frontiers in Environmental Science, 9, 783324. DOI: 10.3389/fenvs.2021.783324

17. Liu S.N., Shi H.Y. *, Sivakumar B., 2022. Long-term mean river discharge estimation with multi-source grid-based global datasets. Stochastic Environmental Research and Risk Assessment, 36, 679-691. DOI: 10.1007/s00477-021-02128-4

18. Liu S.N., Zheng Y., Feng L., Chen J., Lakshmi V., Shi H.Y. *, 2021. Are only floods with large discharges threatening? Flood characteristics evolution in the Yangtze River Basin. Geoscience Letters, 8, 32. DOI: 10.1186/s40562-021-00203-w

19. Cai H.J., Shi H.Y. *, Liu S.N., Babovic V., 2021. Impacts of regional characteristics on improving accuracy of groundwater level prediction using machine learning: the case of central eastern continental United States. Journal of Hydrology: Regional Studies, 37, 100930. DOI: 10.1016/j.ejrh.2021.100930

20. Zhao Y.Y., Liu S.N., Shi H.Y. *, 2021. Impacts of dams and reservoirs on local climate change: a global perspective. Environmental Research Letters, 16, 104043. DOI: 10.1088/1748-9326/ac263c

21. Zhou Z.Q., Shi H.Y. *, Fu Q., Ding Y.B., Li T.X., Liu S.N., 2021. Investigating the propagation from meteorological to hydrological drought by introducing the nonlinear dependence with directed information transfer index. Water Resources Research, 57(8), e2021WR030028. DOI: 10.1029/2021WR030028

22. Jiang Z.P., Shi H.Y. *, Liu S.N. *, Zhou Z.Q., Wang Y., Cai H.J., 2021. Evolution characteristics of potential evapotranspiration over the Three-River Headwaters Region. Hydrological Sciences Journal, 66(10), 1552-1566. DOI: 10.1080/02626667.2021.1957105

23. Zhou Z.Q., Shi H.Y. *, Fu Q., Ding Y.B., Li T.X., Wang Y., Liu S.N., 2021. Characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin. Journal of Geophysical Research: Atmospheres, 126(4), e2020JD033959. DOI: 10.1029/2020JD033959 (ESI高被引论文)

24. Liu S.N., Shi H.Y. *, Sivakumar B., 2020. Socioeconomic drought under growing population and changing climate: A new index considering the resilience of a regional water resources system. Journal of Geophysical Research: Atmospheres, 125(15), e2020JD033005. DOI: 10.1029/2020JD033005

25. Shi H.Y. *, Du E.H., Liu S.N., Chau K.W., 2020. Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems. Hydrology, 7(3), 56. DOI: 10.3390/hydrology7030056

26. Xie H.W., Pan P.C., Shi H.Y. *, Chen J., Wang J.Z., 2020. Observed microphysical characteristics of stratiform and convective precipitation over an inland arid region of Qinghai-Tibet Plateau. Water, 12(8), 2300. DOI: 10.3390/w12082300

27. Zhou Z.Q., Ding Y.B., Shi H.Y. *, Cai H.J. *, Fu Q., Liu S.N., Li T.X., 2020. Analysis and prediction of vegetation dynamic changes in China: past, present and future. Ecological Indicators, 117, 106642. DOI: 10.1016/j.ecolind.2020.106642

28. Liu S.N., Shi H.Y. *, Niu J., Chen J., Kuang X.X., 2020. Assessing future socioeconomic drought events under a changing climate over the Pearl River basin in South China. Journal of Hydrology: Regional Studies, 30, 100700. DOI: 10.1016/j.ejrh.2020.100700

29. Zhou Z.Q., Shi H.Y. *, Fu Q., Li T.X., Gan T.Y., Liu S.N., 2020. Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China. Journal of Hydrology, 588, 125097. DOI: 10.1016/j.jhydrol.2020.125097

30. Zhou Z.Q., Shi H.Y. *, Fu Q., Li T.X., Gan T.Y., Liu S.N., Liu K., 2020. Is the cold region in Northeast China still getting warmer under climate change impact? Atmospheric Research, 237, 104864. DOI: 10.1016/j.atmosres.2020.104864

31. Shi H.Y. *, Chen J. *, Li T.J., Wang G.Q., 2020. A new method for estimation of spatially distributed rainfall through merging satellite observations, raingauge records, and terrain digital elevation model data. Journal of Hydro-environment Research, 28, 1-14. DOI: 10.1016/j.jher.2017.10.006 (ESI高被引论文)

32. Shi H.Y. *, Chen J. *, Liu S.N., Sivakumar B., 2019. The role of large dams in promoting economic development under the pressure of population growth. Sustainability, 11(10), 2965. DOI: 10.3390/su11102965

33. Wang K.Y., Shi H.Y. *, Chen J. *, Li T.J., 2019. An improved operation-based reservoir scheme integrated with VIC model for multiyear and multipurpose reservoirs. Journal of Hydrology, 571, 365-375. DOI: 10.1016/j.jhydrol.2019.02.006

34. Liu S.N., Shi H.Y. *, 2019. Correction to: A recursive approach to long-term prediction of monthly precipitation using genetic programming. Water Resources Management, 33(8), 2973. DOI: 10.1007/s11269-019-02288-7

35. Liu S.N., Shi H.Y. *, 2019. A recursive approach to long-term prediction of monthly precipitation using genetic programming. Water Resources Management, 33(3), 1103-1121. DOI: 10.1007/s11269-018-2169-0

36. Li J.Y., Li T.J., Liu S.N., Shi H.Y. *, 2018. An efficient method for mapping high-resolution global river discharge based on the algorithms of drainage network extraction. Water, 10(4), 533. DOI: 10.3390/w10040533

37. Shi H.Y. *, Chen J., 2018. Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China. International Journal of Climatology, 38(5), 2520-2537. DOI: 10.1002/joc.5404

38. Shi H.Y., Chen J. *, Wang K.Y., Niu J., 2018. A new method and a new index for identifying socioeconomic drought events under climate change: a case study of the East River basin in China. Science of the Total Environment, 616-617, 363-375. DOI: 10.1016/j.scitotenv.2017.10.321

39. Zhang A., Shi H.Y. *, Li T.J. *, Fu X.D., 2018. Analysis of the influence of rainfall spatial uncertainty on hydrological simulations using the bootstrap method. Atmosphere, 9(2), 71. DOI: 10.3390/atmos9020071

40. Shi H.Y. *, Li T.J., 2017. Estimating hydrological parameters based on rainfall patterns in river basins with no long-term historical observations. Journal of Hydrology, 553, 651-661. DOI: 10.1016/j.jhydrol.2017.08.030

41. Shi H.Y. *, Li T.J., Wang G.Q., 2017. Temporal and spatial variations of potential evaporation and the driving mechanism over Tibet during 1961-2001. Hydrological Sciences Journal, 62(9), 1469-1482. DOI: 10.1080/02626667.2017.1332416

42. Shi H.Y. *, Li T.J., Wei J.H., Fu W., Wang G.Q., 2017. Corrigendum to “Spatial and temporal characteristics of precipitation over the Three-River Headwaters region during 1961-2014” [J. Hydrol. Reg. Stud. 6 (2016) 52–65]. Journal of Hydrology: Regional Studies, 12, 413-414. DOI: 10.1016/j.ejrh.2017.03.004

43. Shi H.Y. *, Li T.J., Wei J.H., 2017. Evaluation of the gridded CRU TS precipitation dataset with the point raingauge records over the Three-River Headwaters region. Journal of Hydrology, 548, 322-332. DOI: 10.1016/j.jhydrol.2017.03.017

44. Shi H.Y. *, Li T.J., Wei J.H., Fu W., Wang G.Q., 2016. Spatial and temporal characteristics of precipitation over the Three-River Headwaters region during 1961-2014. Journal of Hydrology: Regional Studies, 6, 52-65. DOI: 10.1016/j.ejrh.2016.03.001

45. Shi H.Y., Li T.J. *, Wang K., Zhang A., Wang G.Q., Fu X.D., 2016. Physically based simulation of the streamflow decrease caused by sediment-trapping dams in the middle Yellow River. Hydrological Processes, 30(5), 783-794. DOI: 10.1002/hyp.10649

46. Shi H.Y. *, Li T.J. *, Liu R.H., Chen J., Li J.Y., Zhang A., Wang G.Q., 2015. A service-oriented architecture for ensemble flood forecast from numerical weather prediction. Journal of Hydrology, 527, 933-942. DOI: 10.1016/j.jhydrol.2015.05.056

47. Shi H.Y. *, Wang G.Q., 2015. Impacts of climate change and hydraulic structures on runoff and sediment discharge in the middle Yellow River. Hydrological Processes, 29(14), 3236-3246. DOI: 10.1002/hyp.10439

48. Shi H.Y., Fu X.D., Chen J. *, Wang G.Q., Li T.J., 2014. Spatial distribution of monthly potential evaporation over mountainous regions: case of the Lhasa River basin, China. Hydrological Sciences Journal, 59(10), 1856-1871. DOI: 10.1080/02626667.2014.881486

49. 王俊阳, 史海匀*, 2024. 深圳市极端降水时空演变特征分析. 华北水利水电大学学报(自然科学版), 45(2), 59-72.

50. 周照强, 邹华志, 史海匀*, 2023. 珠江流域干旱时空变化特征及驱动力分析. 中国防汛抗旱, 33(6), 1-11.

51. 史海匀, 傅旭东*, 王远见, 王光谦, 巩同梁, 2012. 拉萨河流域蒸发力估算: 改进道尔顿模型. 应用基础与工程科学学报, 20(2), 219-227. (EI : 20121915004180)

52. 史海匀, 傅旭东*, 王皓, 巩同梁, 2011. 高山深谷地区水土流失模拟与预测: 以昌都地区为例. 应用基础与工程科学学报, 19(S1), 17-27. (EI: 20112714116101)

53. Dong H.X., Huang S.Z. *, Wang H., Shi H.Y., Singh V.P., She D.X., Huang Q., Leng G.Y., Gao L., Wei X.T., Peng J., 2024. Effects of interaction of multiple large-scale atmospheric circulations on precipitation dynamics in China. Science of the Total Environment, 923, 171528. DOI: 10.1016/j.scitotenv.2024.171528

54. Lin X., Huang S.Z. *, Li J.F., Huang Q., Shi H.Y., She D.X., Leng G.Y., Wei X.T., Guo W.W., Liu Y.Q., Luo J., 2023. Feedback dynamics between precipitation, temperature, and soil moisture in China and their possible driving mechanisms under a changing environment. Atmospheric Research, 294, 106983. DOI: 10.1016/j.atmosres.2023.106983

55. Guo W.W., Huang S.Z. *, Huang Q., She D.X., Shi H.Y., Leng G.Y., Li J., Cheng L.W., Gao Y.J., Peng J., 2023. Precipitation and vegetation transpiration variations dominate the dynamics of agricultural drought characteristics in China. Science of the Total Environment, 898, 165480. DOI: 10.1016/j.scitotenv.2023.165480

56. Zhu H., Chen K.J. *, Hu S.Q., Liu J.G., Shi H.Y., Wei G.G., Chai H.S., Li J.F., Wang T., 2023. Using GNSS and precipitation data to establish the propagation characteristics of meteorological and hydrological drought in Yunnan, China from 2011 to 2021. Water Resources Research, 59(4), e2022WR033126. DOI: 10.1029/2022WR033126

57. Ding Y.B., Jiang C.Z., Zhou Z.Q. *, Gao T.A., Wang S.R., Zhang X.C. *, Cai H.J., Shi H.Y., 2022. Evaluation of precipitation and its time series components in CMIP6 over the Yellow River Basin. Climate Dynamics, 60, 1203-1223. DOI: 10.1007/s00382-022-06379-x

58. Ding Y.B., He X.F., Zhou Z.Q. *, Hu J., Cai H.J., Wang X.Y., Li L.S. *, Xu J.T., Shi H.Y., 2022. Response of vegetation to drought and yield monitoring based on NDVI and SIF. Catena, 219, 106328. DOI: 10.1016/j.catena.2022.106328

59. Qi W. *, Feng L., Yang H., Liu J.G., Zheng Y., Shi H.Y., Wang L., Chen D.L., 2022. Economic growth dominates rising flood risk in the Yangtze River and benefits of raising dikes. Environmental Research Letters, 17(3), 034046. DOI: 10.1088/1748-9326/ac5561

60. Tang S.J., Jiang J.P. *, Shamseldin A.Y., Shi H.Y., Wang X.H., Shang F.Z., Zheng Y. *, 2022. Comprehensive optimization framework for LID facility layout design with cost-benefit analysis: a case study in Shenzhen City, China. ACS ES&T Water, 2(1), 63-74. DOI: 10.1021/acsestwater.1c00235

61. Ding Y.B., Wang F.Z. *, Mu Q., Sun Y., Cai H.J. *, Zhou Z.Q., Xu J.T., Shi H.Y., 2021. Estimating land use/land cover change impacts on vegetation response to drought under ‘Grain for Green’ in the Loess plateau. Land Degradation & Development, 32(17), 5083-5098. DOI: 10.1002/ldr.4093

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专利:

1. 郑旭东,黄生志,王浩,刘登峰,黄强,马川惠,冷国勇,穆振侠,史海匀。一种骤旱识别方法及系统,20231124日,中国,ZL202211475434.8

 

软件著作权:

1. 史海匀,陈骥,刘苏宁,王垚,周照强,蒙芳秀。社会经济干旱预测与预警系统V1.020230810日,中国,2024SR0192148