Effects of Elevation and Longitude on Precipitation and Drought on the Yunnan-Guizhou Plateau, China

被引:4
|
作者
Yu, Hang [1 ,2 ]
Wang, Long [2 ]
Yang, Maoling [3 ]
机构
[1] Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Peoples R China
[2] Yunnan Agr Univ, Coll Water Conservancy, Kunming, Peoples R China
[3] Survey Design Inst Water Conservancy & Hydropower, Zhaotong, Peoples R China
关键词
Spatiotemporal variation; precipitation; drought; Yunnan-Guizhou Plateau; elevation and longitude; trajectories; TREND ANALYSIS; TEMPORAL CHARACTERISTICS; EXTREME PRECIPITATION; SUMMER PRECIPITATION; TIBETAN PLATEAU; VARIABILITY; CLIMATE; MONSOON; REGION; MOUNTAINS;
D O I
10.1007/s00024-023-03273-3
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In this study, the effects of elevation and longitude on precipitation and drought on the Yunnan-Guizhou Plateau (YGP) are investigated, and the performance of four precipitation datasets (China Meteorological Forcing Dataset [CMFD], Global Precipitation Climatology Centre [GPCC], Climatic Research Unit [CRU] and Integrated Multi-satellite Retrievals for Global Precipitation Measurement [IMERG]) is evaluated for the YPG. On an intra-annual scale, the precipitation is bimodal and unimodal at 12 and 35 observation stations, respectively. The stations with bimodal precipitation are primarily located on the southeastern YGP. The first peak of the bimodal precipitation regime occurs in May or June and is higher than the second peak that occurs in October. The peak of the unimodal precipitation regime appears in either June or July. On an interannual scale, annual and seasonal precipitation have been decreasing at most stations, significantly so at some stations. The average precipitation on an annual scale and the spring, winter, and drought season gradually decreases from northeast to southwest and is significantly negatively correlated with the elevation and significantly positively correlated with the longitude. The average precipitation for the summer, spring, and rainy season has a relatively complex spatial distribution and is relatively weakly correlated with the elevation and longitude. The standard deviation (SD) of the precipitation is significantly negatively correlated with the elevation and significantly positively correlated with the longitude. The coefficients of variation (Cv) for the annual, seasonal and monthly precipitation are significantly correlated with the elevation and longitude at various time scales. For the spring and drought season, the standardized precipitation index (SPI) has significant negative and positive correlations with elevation and longitude, respectively, whereas the opposite is true for the summer, autumn, and rainy season. The SD of SPI for summer, autumn, rainy, and drought seasons shows a significant negative (positive) correlation with elevation (longitude). The evaluation results show that CMFD performs best, followed by GPCC, with the worst for CRU and IMERG. Different sources of water vapor influence YGP precipitation and thus YGP drought. Overall, the average precipitation and drought and their SD and Cv are more strongly correlated with the longitude than with the elevation.
引用
收藏
页码:2461 / 2481
页数:21
相关论文
共 50 条
  • [1] Effects of Elevation and Longitude on Precipitation and Drought on the Yunnan–Guizhou Plateau, China
    Hang Yu
    Long Wang
    Maoling Yang
    [J]. Pure and Applied Geophysics, 2023, 180 : 2461 - 2481
  • [2] Zonal Patterns of Meteorological Drought on the Yunnan-Guizhou Plateau, China
    Yu, Hang
    Wang, Long
    Yang, Maoling
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2021, 9
  • [3] Applicability analysis of palmer drought index in Yunnan-Guizhou Plateau in China
    Li, Yan
    Guo, Haiping
    [J]. 2020 THIRD INTERNATIONAL WORKSHOP ON ENVIRONMENT AND GEOSCIENCE, 2020, 569
  • [4] Analysis of Extreme Precipitation Variation Characteristics and the Influencing Factors in the Yunnan-Guizhou Plateau Region, China
    Zhang, Hongbo
    Zhang, Runyun
    Ju, Qin
    Kong, Gong
    Xie, Yina
    He, Jufang
    Huang, Yonghui
    [J]. SUSTAINABILITY, 2023, 15 (20)
  • [5] Yunnan-Guizhou Plateau: a mycological hotspot
    Wijayawardene, Nalin N.
    Dissanayake, Lakmali S.
    Dai, Dong-Qi
    Li, Qi-Rui
    Xiao, Yuanpin
    Wen, Ting-Chi
    Karunarathna, Samantha C.
    Wu, Hai-Xia
    Zhang, Huang
    Tibpromma, Saowaluck
    Kang, Ji-Chuan
    Wang, Yong
    Shen, Xiang-Chun
    Tang, Li-Zhou
    Deng, Chun-Ying
    Liu, Yanxia
    Kang, Yingqian
    [J]. PHYTOTAXA, 2021, 523 (01) : 1 - 31
  • [6] Characteristics of Familial Lung Cancer in Yunnan-Guizhou Plateau of China
    Ding, Xiaojie
    Chen, Ying
    Yang, Jiapeng
    Li, Guangjian
    Niu, Huatao
    He, Rui
    Zhao, Jie
    Ning, Huanqi
    [J]. FRONTIERS IN ONCOLOGY, 2018, 8
  • [7] Microplastics in Qinghai-Tibet Plateau and Yunnan-Guizhou Plateau lakes, China
    Zhang, Fudong
    Guo, Xuetao
    Zhang, Jiachun
    Zhang, Zhenming
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 915
  • [8] Origin of terra rossa over dolomite on the Yunnan-Guizhou Plateau, China
    Feng, Jin-Liang
    Cui, Zhi-Jiu
    Zhu, Li-Ping
    [J]. GEOCHEMICAL JOURNAL, 2009, 43 (03) : 151 - 166
  • [9] Drought prediction in the Yunnan-Guizhou Plateau of China by coupling the estimation of distribution algorithm and the extreme learning machine
    Li, Qiongfang
    Du, Yao
    Liu, Zhennan
    Zhou, Zhengmo
    Lu, Guobin
    Chen, Qihui
    [J]. NATURAL HAZARDS, 2022, 113 (03) : 1635 - 1661
  • [10] Different strategies in biomass allocation across elevation in two Gentiana plants on the Yunnan-Guizhou Plateau, China
    Zhang, Ji
    Wang, Yuan-zhong
    Gao, Hong-kai
    Zuo, Zhi-tian
    Yang, Shao-bing
    Cai, Chuan-tao
    [J]. JOURNAL OF MOUNTAIN SCIENCE, 2020, 17 (11) : 2750 - 2757