Streamflow drought time series forecasting: a case study in a small watershed in North West Spain

被引:44
|
作者
Fernandez, Cristina [1 ]
Vega, Jose A. [1 ]
Fonturbel, Teresa [1 ]
Jimenez, Enrique [1 ]
机构
[1] Conselleria Medio Ambiente & Desenvolvemento Sost, Ctr Invest & Informac Ambiental, Pontevedra 36080, Spain
关键词
Streamwater; Drought; Forecasting; Time series; Caldas catchment; MODEL; MANAGEMENT; VARIABLES;
D O I
10.1007/s00477-008-0277-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought is a climatic event that can cause significant damage both in natural environment and in human lives. Drought forecasting is an important issue in water resource planning. Due to the stochastic behaviour of droughts, a multiplicative seasonal autoregressive integrated moving average model was applied to forecast monthly streamflow in a small watershed in Galicia (NW Spain). A better streamflow forecast obtained when the Martone index was included in the model as explanatory variable. After forecasting 12 leading month streamflow, three drought thresholds: streamflow mean, monthly streamflow mean and standardized streamflow index were chosen. Both observed and forecasted streamflow showed no drought evidence in this basin.
引用
收藏
页码:1063 / 1070
页数:8
相关论文
共 50 条
  • [41] Assessing planning approaches by watershed streamflow modeling: Case study of The Woodlands; Texas
    Yang, Bo
    Li, Ming-Han
    LANDSCAPE AND URBAN PLANNING, 2011, 99 (01) : 9 - 22
  • [42] A new evolutionary time series model for streamflow forecasting in boreal lake-river systems
    Ali Danandeh Mehr
    Sahand Ghadimi
    Hannu Marttila
    Ali Torabi Haghighi
    Theoretical and Applied Climatology, 2022, 148 : 255 - 268
  • [43] Forecasting drought using neural network approaches with transformed time series data
    Evkaya, O. Ozan
    Kurnaz, Fatma Sevinc
    JOURNAL OF APPLIED STATISTICS, 2021, 48 (13-15) : 2591 - 2606
  • [44] A new evolutionary time series model for streamflow forecasting in boreal lake-river systems
    Mehr, Ali Danandeh
    Ghadimi, Sahand
    Marttila, Hannu
    Haghighi, Ali Torabi
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 148 (1-2) : 255 - 268
  • [45] A Comparative Analysis of Advanced Machine Learning Techniques for River Streamflow Time-Series Forecasting
    Abdoulhalik, Antoifi
    Ahmed, Ashraf A.
    SUSTAINABILITY, 2024, 16 (10)
  • [46] A nonlinear time series analysis using two-stage genetic algorithms for streamflow forecasting
    Chen, Chang-Shian
    Liu, Chin-Hui
    Su, Hui-Chen
    HYDROLOGICAL PROCESSES, 2008, 22 (18) : 3697 - 3711
  • [47] A Comparative Study of Neural-Network & Fuzzy Time Series Forecasting Techniques - Case Study: Wheat Production Forecasting
    Pandey, Adesh Kumar
    Sinha, A. K.
    Srivastava, V. K.
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (09): : 382 - 387
  • [48] Using Landsat image time series to study a small water body in Northern Spain
    Y. Chao Rodríguez
    A. el Anjoumi
    J. A. Domínguez Gómez
    D. Rodríguez Pérez
    E. Rico
    Environmental Monitoring and Assessment, 2014, 186 : 3511 - 3522
  • [49] Using Landsat image time series to study a small water body in Northern Spain
    Chao Rodriguez, Y.
    El Anjoumi, A.
    Dominguez Gomez, J. A.
    Rodriguez Perez, D.
    Rico, E.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2014, 186 (06) : 3511 - 3522
  • [50] Atmospheric Model-Based Streamflow Forecasting at Small, Mountainous Watersheds by a Distributed Hydrologic Model: Application to a Watershed in Japan
    Yoshitani, J.
    Chen, Z. Q.
    Kavvas, M. L.
    Fukami, K.
    JOURNAL OF HYDROLOGIC ENGINEERING, 2009, 14 (10) : 1107 - 1118