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Monitoring, modeling, and assessment of water quality and quantity in River Pinios, using ARIMA models

机译:使用ARIMA模型监控,建模和评估Pinios河中的水质和水量

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The purpose of this study is to analyze surface water quality and discharge data samples from River Pinios at Region of Thessaly, Central Greece. The statistical samples of each one of the variables consisted of a maximum of 188 monthly observations over a period of 16 years. For these measurements stochastic modeling algorithms were used by ARIMA Models in order to assess water quality and quantity parameters and to compare the measurements with the legislation standards. By using ARIMA to prewhiten each time series, relationships between the parameters were demonstrated. Moreover, the time response between the fluctuations of water temperature (T-w) with the ones of (1) dissolved oxygen (DO), (2) ammonium (NH4+), and (3) nitrates (NO3-) and the fluctuations of discharge (Q) with that of water electrical conductivity (ECw) was assessed. Also, (1) an evaluation of the status of river water quality according to the Hellenic and International Legislation and (2) a comparison with other corresponding studies in the area of River Pinios watershed were performed. Finally, in this study the necessity of multivariate statistical assessment of extended databases in combination with reliable and real-time monitoring data is presented, in order to "extract" information about the quality and quantity parameters and to apply managerial strategies for pollution control.
机译:这项研究的目的是分析希腊中部色萨利地区皮尼奥斯河的地表水水质和排放数据样本。每个变量的统计样本由16年内最多188个月的观测值组成。对于这些测量,ARIMA模型使用随机建模算法来评估水质和水量参数,并将测量结果与法规标准进行比较。通过使用ARIMA对每个时间序列进行预白,可以证明参数之间的关系。此外,水温(Tw)波动与(1)溶解氧(DO),(2)铵(NH4 +)和(3)硝酸盐(NO3-)的波动之间的时间响应与排放波动( Q)与水的电导率(ECw)进行了评估。此外,(1)根据希腊和国际立法对河流水质状况进行了评估,以及(2)与Pinios河流域地区的其他相应研究进行了比较。最后,在本研究中,提出了对扩展数据库进行多变量统计评估并结合可靠且实时的监测数据的必要性,以“提取”有关质量和数量参数的信息并应用污染控制管理策略。

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