Research and Practice on Hydrological Intelligent Perception Based on New Quality Productive Forces

MEI Jun-ya

Journal of Changjiang River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (11) : 1-6.

PDF(1206 KB)
PDF(1206 KB)
Journal of Changjiang River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (11) : 1-6. DOI: 10.11988/ckyyb.20240334
Special Contribution

Research and Practice on Hydrological Intelligent Perception Based on New Quality Productive Forces

Author information +
History +

Abstract

Under the surging trend of the digital age, various industries are accelerating the construction and innovation of new quality productivity. The Ministry of Water Resources has put forward more stringent and forward-looking requirements for the construction of digital twin watersheds and digital twin hydrology. In response to the many challenges faced by current hydrological work, in-depth analysis has found that there are still significant gaps in the layout of station networks in some areas. The integration and application capabilities of intelligent perception technology urgently need to be strengthened, the intelligent transformation of professional algorithms still needs to be deepened, and the construction of the full business chain application system is not yet perfect. Based on the long-term research accumulation and practical experience of the Yangtze River Commission Hydrological Bureau, this article proposes a series of targeted strategies: 1)By continuously optimizing the station network layout and upgrading facilities and equipment, a more comprehensive and efficient station network system can be constructed. 2)By implementing the “one policy for one station” strategy, we will focus on improving hydrological measurement and reporting capabilities, and actively explore cutting-edge technologies such as quantum dot spectroscopy for sand measurement, to create a highly integrated intelligent perception system.3)By conducting research on intelligent flow prediction algorithms, low dry flow measurement algorithms, and hydrological models, an intelligent algorithm cluster is constructed.4)By developing the Yangtze River Smart Hydrological Monitoring and Management System and the Hydrological Data Online Compilation System, we have built a WISH application system that covers the entire business chain. The series of hydrological intelligent perception technology research and equipment development strategies proposed in this article will provide strong support and promotion for accelerating the development of new quality productivity in the hydrological field.

Key words

hydrology / new quality productive forces / digital twin / intelligent perception / quantum dot spectroscopy

Cite this article

Download Citations
MEI Jun-ya. Research and Practice on Hydrological Intelligent Perception Based on New Quality Productive Forces[J]. Journal of Yangtze River Scientific Research Institute. 2024, 41(11): 1-6 https://doi.org/10.11988/ckyyb.20240334

References

[1]
杨寅. 新质生产力赋能会计数字化转型的核心要素、运行机理与逻辑框架[J]. 财会月刊, 2024(7):25-29.
(YANG Yin. The Core Elements, Operating Mechanisms and Logical Framework of the Digital Transformation of Accounting Empowered by New-quality Productive Forces[J]. Finance and Accounting Monthly, 2024(7):25-29. (in Chinese))
[2]
李国英. 加快建设数字孪生流域提升国家水安全保障能力[J]. 中国水利, 2022(20):1.
(LI Guo-ying. Accelerate to Build the Digital Twin River Basins and Enhance China’s Capacity to Ensure Water Security[J]. China Water Resources, 2022(20): 1.(in Chinese))
[3]
程海云. 推进新时代长江水文高质量发展体系建设构想[J]. 人民长江, 2023, 54(1): 88-97.
(CHENG Hai-yun. Conception on Promoting Construction of High-quality Development System of Yangtze River Hydrology in New Era[J]. Yangtze River, 2023, 54(1): 88-97. (in Chinese))
[4]
李弘. 技术驱动数字化转型出版迈入高质量发展[J]. 新阅读, 2021(12):7-10.
(LI Hong. Technology Drives Digital Transformation, Propelling Publishing into High-quality Development.[J]. Fresh Reading, 2021(12): 7-10. (in Chinese))
[5]
蔡阳. 数字孪生水利建设中应把握的重点和难点[J]. 水利信息化, 2023(3): 1-7.
(CAI Yang. Key Points and Difficulties to Be Grasped in the Development of Digital Twin Water Conservancy[J]. Water Resources Informatization, 2023(3): 1-7. (in Chinese))
[6]
刘少杰. 从实践出发认识网络化、数字化和智能化[J]. 社会科学研究, 2022(2): 66-71.
(LIU Shao-jie. Understanding Networking, Digitization and Intelligence from Practice[J]. Social Science Research, 2022(2): 66-71. (in Chinese))
[7]
中华人民共和国水利部. 中国水文年报:2022[M]. 北京: 中国水利水电出版社, 2023.
(Ministry of Water Resources of People’s Republic of China. Annual Report of Hydrology in China:2022[M]. Beijing: China Water Resources and Hydropower Press, 2023. (in Chinese))
[8]
魏新平, 蒋蓉, 刘晋, 等. 水文基础设施建设形势与任务浅析[J]. 水文, 2015, 35(1):77-81.
(WEI Xin-ping, JIANG Rong, LIU Jin, et al. Situation and Mission for Construction of Hydrological Infrastructures[J]. Journal of China Hydrology, 2015, 35(1):77-81. (in Chinese))
[9]
林祚顶, 刘志雨. 加快构建雨水情监测预报“三道防线” 工作思考[J]. 中国水利, 2023(12): 5-10.
(LIN Zuo-ding, LIU Zhi-yu. Accelerating Construction of “Three Lines of Flood Defense” through Rainfall Monitoring and Forecasting and Reflections[J]. China Water Resources, 2023(12): 5-10. (in Chinese))
[10]
段文超, 周裕红. 水文站网规划与建设存在问题及对策初探[J]. 中国水利, 2009(增刊1):36-37, 134.
(DUAN Wen-chao, ZHOU Yu-hong[J]. China Water Resources, 2009(Supp.1): 36-37, 134. (in Chinese))
[11]
周文静, 蒋四维. 汉江流域水文站网优化调整与管理机制研究[J]. 水利水电快报, 2021, 42(8): 12-15.
(ZHOU Wen-jing, JIANG Si-wei. Discussion on Optimal Adjustment and Management Mechanism of Hydrological Station Network in Hanjiang River Basin[J]. Express Water Resources & Hydropower Information, 2021, 42(8): 12-15. (in Chinese))
[12]
吕欣, 邓娟, 时青. 基于WebGIS的水文站网管理系统初探[J]. 山东水利, 2020(10): 36-37, 39.
( Xin, DENG Juan, SHI Qing. On the Management System in the Hydrologic Station Network Based on WebGIS[J]. Shandong Water Resources, 2020(10): 36-37, 39. (in Chinese))
[13]
王俊, 王建群, 余达征. 现代水文监测技术[M]. 北京: 中国水利水电出版社, 2016.
(WANG Jun, WANG Jian-qun, YU Da-zheng. Modern hydrological monitoring technology[M]. Beijing: China Water & Power Press, 2016. (in Chinese))
[14]
林祚顶. 水文现代化与水文新技术[M]. 北京: 中国水利水电出版社, 2008.
(LIN Zuo-ding. Hydrological Modernization and New Hydrological Technologies[M]. Beijing: China Water & Power Press, 2008. (in Chinese))
[15]
李国杰, 程学旗. 大数据研究: 未来科技及经济社会发展的重大战略领域: 大数据的研究现状与科学思考[J]. 中国科学院院刊, 2012, 27(6): 647-657.
(LI Guo-jie, CHENG Xue-qi. Research Status and Scientific Thinking of Big Data[J]. Bulletin of Chinese Academy of Sciences, 2012, 27(6): 647-657. (in Chinese))
[16]
张亭, 吴尧. 汉口水文站水位流量单值化方案及其应用[J]. 人民长江, 2014, 45(9):39-42.
(ZHANG Ting, WU Yao. Uniformization Scheme of Water Level and Discharge of Hankou Hydrological Station and Its Application[J]. Yangtze River, 2014, 45(9):39-42. (in Chinese))
[17]
张驰, 香天元, 盛钟铭, 等. 长江中游“智慧水文”实践与思考[J]. 水利水电快报, 2021, 42(5):58-62.
(ZHANG Chi, XIANG Tian-yuan, SHENG Zhong-ming, et al. Practice and Thoughts of Intelligent Hydrology of Middle Yangtze River[J]. Express Water Resources & Hydropower Information, 2021, 42(5):58-62. (in Chinese))
[18]
何元翠, 桑国庆, 程亮, 等. 黄河流域水文深度学习架构设计与应用[J]. 济南大学学报(自然科学版), 2022, 36(2): 164-169.
(HE Yuan-cui, SANG Guo-qing, CHENG Liang, et al. Design and Application of Deep Learning Architecture for the Yellow River Hydrology[J]. Journal of University of Jinan (Science and Technology), 2022, 36(2): 164-169. (in Chinese))
[19]
黄河, 邓山. 视觉测流技术在中小河流洪水流量监测中的应用研究[J]. 长江技术经济, 2023, 7(4):112-117.
(HUANG He, DENG Shan. Application of Visual Flow Measurement Technology in Flood Discharge Monitoring of Small and Medium Rivers[J]. Technology and Economy of Changjiang, 2023, 7(4):112-117. (in Chinese))
[20]
邓山, 梅军亚, 赵昕. 卫星遥感流量测验现状及发展方向研究[C]//中国水利学会.2022中国水利学术大会论文集(第五分册). 郑州: 黄河水利出版社,2022:1-5.
DENG Shan, MEI Jun-ya, ZHAO Xin. Research on the Current Situation and Development Direction of Satellite Remote Sensing Flow Measurement[C]//Chinese Hydraulic Society.Proceedings of the 2022 China Water Conservancy Academic Conference (Volume 5). Zhengzhou: Yellow River Water Conservancy Press, 2022:1-5. (in Chinese))
[21]
BAO J, BAWENDI M G. A Colloidal Quantum Dot Spectrometer[J]. Nature, 2015, 523(7558): 67-70.
[22]
牟芸, 张亭. 水文资料整汇编在线一体化技术研究与应用[J]. 人民长江, 2022, 53(增刊2): 188-191.
(MOU Yun, ZHANG Ting. Research and Application of On-line Integration Technology for Hydrologic Data Processing and Compilation[J]. Yangtze River, 2022, 53(Supp. 2): 188-191. (in Chinese))
PDF(1206 KB)

Accesses

Citation

Detail

Sections
Recommended

/

Baidu
map