Detecting hydro-climatic change using spatiotemporal analysis of rainfall time series in the Cobres River basin, Portugal

被引:0
|
作者
Guimaraes Santos, Celso Augusto [1 ]
da Silva, Richarde Marques [1 ]
Moreira, Madalena [2 ]
Corte-Real, Joao [2 ]
Mangueira, Ligia Rabay [1 ]
机构
[1] Univ Fed Paraiba, Dept Civil & Environm Engn, BR-58051900 Joao Pessoa, Paraiba, Brazil
[2] Univ Evora, Inst Mediterranean Agr & Environm Sci ICAAM, Grp Water Soil & Climate, Nucleo Mitra, P-7002774 Evora, Portugal
关键词
D O I
暂无
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
引用
收藏
页码:125 / 126
页数:2
相关论文
共 50 条
  • [41] Spatiotemporal evolution analysis of time-series land use change using self-organizing map to examine the zoning and scale effects
    Qi, Jianchao
    Liu, Huiping
    Liu, Xiangping
    Zhang, Yanghua
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2019, 76 : 11 - 23
  • [42] Detecting Long-Term Dry Matter Yield Trend of Sorghum-Sudangrass Hybrid and Climatic Factors Using Time Series Analysis in the Republic of Korea
    Chemere, Befekadu
    Kim, Jiyung
    Lee, Baehun
    Kim, Moonju
    Kim, Byongwan
    Sung, Kyungil
    AGRICULTURE-BASEL, 2018, 8 (12):
  • [43] Detecting grassland cover changes through spatiotemporal outlier analysis using remotely sensed time-series data: a case study from Xilingol, China
    Sha, Zongyao
    Wang, Yuwei
    GEOCARTO INTERNATIONAL, 2021, 36 (11) : 1236 - 1252
  • [44] A Bayesian test for the 4.2 ka BP abrupt climatic change event in southeast Europe and southwest Asia using structural time series analysis of paleoclimate data
    on, Z. B.
    Greaves, A. M.
    Akcer-on, S.
    ozeren, M. S.
    CLIMATIC CHANGE, 2021, 165 (1-2)
  • [45] A Bayesian test for the 4.2 ka BP abrupt climatic change event in southeast Europe and southwest Asia using structural time series analysis of paleoclimate data
    Z. B. Ön
    A. M. Greaves
    S. Akçer-Ön
    M. S. Özeren
    Climatic Change, 2021, 165
  • [46] Predicting climate-based changes of landscape structure for Turkiye via global climate change scenarios: a case study in Bartin river basin with time series analysis for 2050
    Kadak, Merve Kalayci
    Ozturk, Sevgi
    Mert, Ahmet
    NATURAL HAZARDS, 2024, 120 (14) : 13289 - 13307
  • [47] A bi-directional strategy to detect land use function change using time-series Landsat imagery on Google Earth Engine: A case study of Huangshui River Basin in China
    Shen, Zhenyu
    Wang, Yafei
    Su, Han
    He, Yao
    Li, Shuang
    SCIENCE OF REMOTE SENSING, 2022, 5
  • [48] Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas
    Wohlfart, Christian
    Mack, Benjamin
    Liu, Gaohuan
    Kuenzer, Claudia
    APPLIED GEOGRAPHY, 2017, 85 : 73 - 88
  • [49] Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin
    Yashon O. Ouma
    Rodrick Cheruyot
    Alice N. Wachera
    Complex & Intelligent Systems, 2022, 8 : 213 - 236
  • [50] Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin
    Ouma, Yashon O.
    Cheruyot, Rodrick
    Wachera, Alice N.
    COMPLEX & INTELLIGENT SYSTEMS, 2022, 8 (01) : 213 - 236