Spatial and Temporal Pattern of Rainstorms Based on Manifold Learning Algorithm

被引：3
|
作者：
Liu, Yuanyuan [1 ,2 ]
Liu, Yesen [1 ,2 ]
Ren, Hancheng [1 ]
Du, Longgang [3 ]
Liu, Shu [1 ]
Zhang, Li [4 ]
Wang, Caiyuan [3 ]
Gao, Qiang [3 ]
机构：
[1] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[2] Minist Water Resources, Key Lab Digital Twin Watershed, Beijing 100038, Peoples R China
[3] Beijing Gen Hydrol Stn, Beijing 100089, Peoples R China
[4] Shenzhen Natl Climate Observ, Shenzhen 518040, Peoples R China
来源：
WATER | 2023年 / 15卷 / 01期
基金：
国家重点研发计划;
关键词：
manifold learning; machine learning; spatial-temporal distribution of rainstorms; feature extraction; Beijing; Shenzhen; DIMENSIONALITY REDUCTION; FLOOD PREDICTION; VARIABILITY;
D O I：
10.3390/w15010037
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Identifying the patterns of rainstorms is essential for improving the precision and accuracy of flood forecasts and constructing flood disaster prevention systems. In this study, we used a manifold learning algorithm method of machine learning to analyze rainstorm patterns. We analyzed the spatial-temporal characteristics of heavy rain in Beijing and Shenzhen. The results showed a strong correlation between the spatial-temporal pattern of rainstorms and underlying topography in Beijing. However, in Shenzhen, the spatial-temporal distribution characteristics of rainstorms were more closely related to the source of water vapor causing the rainfall, and the variation in characteristics was more complex and diverse. This method may be used to quantitatively describe the development and dynamic spatial-temporal patterns of rainfall. In this study, we found that spatial-temporal rainfall distribution characteristics, extracted by machine learning technology could be explained by physical mechanisms consistent with the climatic characteristics and topographic conditions of the region.
引用
收藏
页数：15
相关论文
共 50 条
  • [21] A Manifold Learning Fusion Algorithm Based on Distance and Angle Preservation
    Gu, Yanchun
    Zhang, Defeng
    Ma, Zhengming
    Niu, Guo
    PATTERN RECOGNITION (CCPR 2014), PT I, 2014, 483 : 31 - 43
  • [22] Failure Mode Recognition Clustering Algorithm Based on Manifold learning
    Lou Zhigang
    Liu Hongzhao
    INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 2126 - 2130
  • [23] A manifold learning algorithm for video-based face recognition
    Lu, Ke
    Ding, Zhengming
    Zhao, Jidong
    Wu, Yue
    Journal of Information and Computational Science, 2011, 8 (09): : 1695 - 1702
  • [24] An Incremental Manifold Learning Algorithm Based on the Small World Model
    Shi, Lukui
    Yang, Qingxin
    Liu, Enhai
    Li, Jianwei
    Dong, Yongfeng
    LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT I, 2010, 6328 : 324 - +
  • [25] An algorithm of multi-structure based on riemannian manifold learning
    Wang Wei
    Bi Du-yan
    Xiong Lei
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING, 2010, 7820
  • [26] Classification algorithm for Chinese web text based on manifold learning
    Shi, Shengli
    Fu, Zhibin
    Li, Jinzhao
    Shi, S. (Shengli10@126.com), 2012, Advanced Institute of Convergence Information Technology (06) : 196 - 204
  • [27] High Dimensional Dynamic Optimization Algorithm Based on Manifold Learning
    Yao, Shijie
    Jiang, Min
    Gan, Zhaohui
    Shang, Tao
    INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING BIOMEDICAL ENGINEERING, AND INFORMATICS (SPBEI 2013), 2014, : 213 - 217
  • [28] A new manifold learning algorithm based on distinguishing variance analysis
    Key Laboratory of Optoelectronic Technology and Systems of EMC, College of Opto-Electronic Engineering, Chongqing University, Chongqing 400030, China
    不详
    Guangdianzi Jiguang, 2009, 8 (1096-1100):
  • [29] A Manifold Learning Algorithm Based on Incremental Tangent Space Alignment
    Tan, Chao
    Ji, Genlin
    CLOUD COMPUTING AND SECURITY, ICCCS 2016, PT II, 2016, 10040 : 541 - 552
  • [30] Temporal and spatial pattern formations
    Lu, G
    Liang, ZJ
    DIFFERENTIAL EQUATIONS AND CONTROL THEORY, 1996, 176 : 203 - 212
12345