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首页> 外文期刊>Advances in Meteorology >Disaggregation of Annual to Monthly Streamflow: A Case Study of KJzJlJrmak Basin (Turkey)
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Disaggregation of Annual to Monthly Streamflow: A Case Study of KJzJlJrmak Basin (Turkey)

机译：每月流程分解的分解：kjzjljrmak盆地（土耳其）的案例研究

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摘要

This study utilizes a recent nonparametric disaggregation K-nearest neighbor (KNN) model, to resample monthly flows depending on annual flows at different sites. Both temporal and spatial approaches will be followed in this model while preserving the distributional statistics of the observed data. This model assumes that a set of aggregated annual streamflows at a key station is available and desired for disaggregation to a corresponding series of streamflow at key station (temporal disaggregation) as well as at tributary stations (spatial disaggregation). The model is applied to the annual streamflow data of particular stations in the K?z?l?rmak Basin, which is exposed to drought periods during the years (1970-1974 and 1994-1995). The aim of this study is to find the possibilities of using the nonparametric approaches as generators ofmonthly flows,with emphasis on the ability to reproduce the statistics related to drought and storage analysis for the selected stations in Turkey.The results show that the spatial disaggregation approach has the ability to reproduce the historical data better than the temporal approach for the tested sites and provides a variety of generated monthly sequence flows that can then be utilized to analyze the performance of the water resources planning system.
机译：本研究利用最近的非参数分类K-最近邻（KNN）模型，根据不同网站的年度流量来重定使用每月流量。在该模型中遵循时间和空间方法，同时保留观察到的数据的分布统计。该模型假设在关键站处的一组聚合年度流流是可获得的，并且需要在关键站（时间分列）以及支路站（空间分列）处的相应系列流流程中的分解。该模型应用于K？Z？L？rmak盆地的特定站的年度流流数据，该盆地在多年（1970-1974和1994-1995）中暴露于干旱期。本研究的目的是找到使用非参数方法作为Monthly流动的发电机的可能性，重点是再现与土耳其所选站的干旱和储存分析相关的统计数据的能力。结果表明空间分类方法能够更好地重现比测试站点的时间方法更好的历史数据，并提供各种产生的月度序列流，然后可以用于分析水资源规划系统的性能。

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