非定常・準周期的な気象・水文極値データの検定並びに再現確率値の経年変化の推定

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タイトル別名
  • ESTIMATING TRENDS AND QUASI-PERIODIC VARIATIONS IN HYDRO-METEOROLOGICAL DATA AND NON-STATIONARY EXTREME MODELS
  • ヒテイジョウ ・ ジュンシュウキテキ ナ キショウ ・ スイモンキョクチ データ ノ ケンテイ ナラビニ サイゲン カクリツチ ノ ケイ ネンヘンカ ノ スイテイ

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抄録

The possible trends and quasi-periodic variations in temperature and hydrologic time series are investigated by using both parametric and nonparametric statistical tests. Long term trends in both temperature and hydrologic time series are detected. The quasi-periodic variations in annual maximum hydrologic data of the Shinano River are found to have the periods of 3.3, 6~7, and 17~19 years. The variation with a period of 17~19 years corresponds with bidecadal variations of ocean and climate in the North Pacific Ocean. Non-stationary hydrologic extreme analysis was made to study extreme values and return periods of annual maximum precipitation. The 50- 100- 200- and 300-year return values estimated from MLM are found to increase by 40~50 mm per 100 years.

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