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Improving uncertain nutrient load estimates for Lake Balaton

机译:改善巴拉顿湖的不确定营养负荷估算

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Annual nutrient loads have been estimated for Lake Balaton over three decades. Tributaries may transport about half of the loads into the lake. The contribution of diffuse sources may reach two thirds of the total load. Biweekly/monthly water quality monitoring on small inflows (0.01 m(3)/s-0.3 m(3)/s range) results in a high uncertainty of load estimates. This paper evaluates the degree of uncertainties by using analytical expressions of sampling theory. Load-flow relationships were derived for five streams and annual total phosphorus load was predicted by four load estimation methods. A seasonal regression model, based upon the evaluation of historical set of observed phosphorus loads, appeared best to refine load estimates on small inflows. Correction frequently led to load estimates that exceeded uncorrected loads by a factor of two to three. Since the dynamics of the watercourses determined the errors of load estimates, stratified sampling is needed to decrease the uncertainties. [References: 18]
机译:据估计,巴拉顿湖在过去的三十年中每年的营养负荷量。支流可以将大约一半的货物运输到湖泊中。扩散源的贡献可能达到总负载的三分之二。每两周/每月对小流量(0.01 m(3)/s-0.3 m(3)/ s的范围)进行水质监测会导致负荷估算的高度不确定性。本文使用抽样理论的解析表达式来评估不确定性程度。推导了五种水流的负荷-流量关系,并通过四种负荷估算方法预测了年度总磷负荷。基于对观测到的磷负荷的历史记录进行评估的季节性回归模型似乎最适合细化小流量的负荷估算。校正经常导致负荷估算值比未校正负荷高出二到三倍。由于水道的动态性决定了负荷估算的误差,因此需要分层抽样以减少不确定性。 [参考:18]

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