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Analogous Modeling of Nutrient Transformation in Iskar River Sediments at Different Moisture Content: Microbiological and Enzymological Indicators

机译:不同水分条件下伊斯卡尔河沉积物养分转化的模拟模型:微生物学和酶学指标

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This study was focused on the R&D of the elements of the systems for early warning of risk events as well as on the selection of the mechanisms and indicators for their management. The aim was to derive the mathematical dependences, bioalgorithms, and indicative correlations for upgrading of the HSPF hydrological model. For this purpose analogous modeling of transformation of organics in the river sediments of the parafluvial zone as a function of moisture (in%) was performed. This upgrading can be applied for correct and effective prognosis of the rate of self-purification in the Iskar River in the section from Beli Iskar Reservoir to Iskar Reservoir. The results showed that the combination of total dehydrogenase, nitrate reductase and phosphatase activities could be considered an effective instrument for water quality management and for prediction of the rate of transformation processes. The derived linear mathematical dependences can be applied to calculate other microbiological and kinetic indicators important for monitoring, as well as to create special modules for the HSPF model with a well-functioning verification strategy.
机译:这项研究的重点是对风险事件的早期预警系统要素的研发,以及对风险管理机制和指标的选择。目的是推导HSPF水文模型升级的数学依赖性,生物算法和指示性相关性。为了这个目的,进行了河流旁河床沉积物中有机物的转化与水分(%)的函数的模拟建模。这种升级可以用于从Beli Iskar水库到Iskar水库的部分中Iskar河中自净率的正确有效预测。结果表明,总脱氢酶,硝酸还原酶和磷酸酶活性的结合可以被认为是水质管理和预测转化过程速率的有效手段。导出的线性数学相关性可用于计算对监控重要的其他微生物和动力学指标,以及使用功能良好的验证策略为HSPF模型创建特殊模块。

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