This article attempts to analyze the relation between runoff series and weather factors in space variation.
基于此，对气象因子与径流的关联性进行空间上的变异分析。
Based on the complexity measure of complexity theory the river runoff series of different hydrology stations in mainstream of the Yellow river is diagnoses.
本文通过采用复杂性理论中的复杂性测度，对黄河干流不同水文站的河川径流序列进行诊断分析。
Based on the uncertainty and inaccuracy characteristics, runoff series could be divided into different states via mean square deviation method of data series.
基于径流过程不确定性、不精确性的特点，利用资料系列的均方差方法把径流序列分为不同的状态。
Owing to the effects of changing climate and frequent human activities, the annual runoff series for water resource assessment calculation has lost their consistency.
由于受气候变化和频繁人类活动的影响，用于水资源评价计算的年径流序列失去了一致性。
Owing to the effects of frequent human activities and climate change, the natural annual runoff series for water resources evaluation calculation lost their consistency.
由于受频繁人类活动和气候变化的影响，用于水资源评价计算的天然年径流量序列失去了一致性。
The paper analysed temporal & spatial variation of water resources and variation of water a-long distance in Tarim Basin, utilizing runoff series of mountain exit stations.
本文利用塔里木河流域出山口站径流系列分析了塔里木河流域水资源时空变化。
Part two: This paper analyzed the degree of predicting precision affected by decomposing scale coefficient of wavelet cycle model and various kinds of reservoir inflow runoff series.
第二部分，本文分析了小波周期模型的分解尺度数和各种不同入库径流序列对模型预测精度的影响程度。
Owing to the effects of changing environment, such as human activities and climate, the natural annual runoff series for water resources evaluation calculation lost their consistency.
由于受人类活动、气候等外界变化环境的影响，用于水资源评价计算的天然年径流量序列失去了一致性。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
径流中长期预报一直以来都是人们关注的热点研究问题，常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
径流中长期预报一直以来都是人们关注的热点研究问题，常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
应用推荐