Margeta J, Fistanic I
Faculty of Civil Engineering and Architecture, University of Split Matice, Hrvatske 15, 21000 Split, Croatia.
Water Sci Technol. 2004;50(11):59-66.
Management of water quality in karst is a specific problem. Water generally moves very fast by infiltration processes but far more by concentrated flows through fissures and openings in karst. This enables the entire surface pollution to be transferred fast and without filtration into groundwater springs. A typical example is the Jadro spring. Changes in water quality at the spring are sudden, but short. Turbidity as a major water quality problem for the karst springs regularly exceeds allowable standards. Former practice in problem solving has been reduced to intensive water disinfection in periods of great turbidity without analyses of disinfection by-products risks for water users. The main prerequisite for water quality control and an optimization of water disinfection is the knowledge of raw water quality and nature of occurrence. The analysis of monitoring data and their functional relationship with hydrological parameters enables establishment of a stochastic model that will help obtain better information on turbidity in different periods of the year. Using the model a great number of average monthly and extreme daily values are generated. By statistical analyses of these data possibility of occurrence of high turbidity in certain months is obtained. This information can be used for designing expert system for water quality management of karst springs. Thus, the time series model becomes a valuable tool in management of drinking water quality of the Jadro spring.
岩溶地区的水质管理是一个特殊问题。水通常通过渗透过程快速移动,但更多是通过岩溶地区的裂缝和孔洞形成的集中水流移动。这使得整个地表污染能够快速且未经过滤地转移到地下水泉中。亚德洛泉就是一个典型例子。泉水水质的变化很突然,但持续时间短。浊度是岩溶泉主要的水质问题,经常超过允许标准。过去解决问题的做法只是在浊度很高的时期进行强化水消毒,而没有分析对用水者的消毒副产物风险。水质控制和水消毒优化的主要前提是了解原水水质和发生情况的性质。对监测数据及其与水文参数的函数关系进行分析,能够建立一个随机模型,这将有助于获取一年中不同时期浊度的更好信息。利用该模型可以生成大量的月平均值和日极值。通过对这些数据的统计分析,可以得出某些月份出现高浊度的可能性。这些信息可用于设计岩溶泉水质管理的专家系统。因此,时间序列模型成为亚德洛泉饮用水质量管理中的一个有价值工具。