AR, CR and ARCR modeling for simulations and analyses of karst groundwater quality parameters

Објеката

Тип
Рад у часопису
Верзија рада
објављена верзија
Језик
енглески
Креатор
Vesna Ristić-Vakanjac, Marina Ćokorilo-Ilić, Petar Papić, Dušan Polomčić, Radisav Golubović
Извор
Geološki anali Balkanskoga poluostrva
Издавач
National Library of Serbia
Датум издавања
2018
Сажетак
Although an invisible component of the hydrologic cycle, groundwater generally takes precedence over other water resources in the area of drinking water supply. Among groundwater resources, karst aquifers tend to be rich in sufficiently-accessible amounts of high-quality water. During most of the year, this water requires only disinfection prior to delivery to the end user. However, in many cases extreme rainfall and/or sudden snow melt results in transient turbidity, increase in bacterial count and temporary contamination (e.g. increase in nitrate and phosphate concentrations). To be able to determine the effect of the precipitation regime on various groundwater quality parameters, it is necessary to establish continuous monitoring of the parameter of interest and certain parameters should be observed at least once a day, if not more often (continuously). Such monitoring provides sufficiently long time-series of the considered parameter, so that autocorrelation and cross-correlation analyses can be undertaken and AR, CR and ARCR modeling used for simulations and short-term forecasts. Apart from the theoretical background, the paper presents a case study of the occurrence of nitrates at a karst spring called “Banja” near the city of Valjevo, Serbia. A ten-year (1991–2000) timeseries of the discharged volume of water was used in the study, as well as nitrate concentrations recorded on a daily basis. In addition, daily precipitation was gauged in the immediate vicinity of the catchment and the rainwater chemically analyzed. The analyses included nitrate concentrations in precipitation. The generated time series were used for autocorrelation and cross-correlation analyses of nitrate concentrations in the Banja Spring pool during the entire period of monitoring, as well as in one wet and one dry year. The results are presented for all three cases, based on simulations applying AR, CR and ARCR modeling.
том
79
Број
1
почетак странице
71
крај странице
81
doi
10.2298/GABP1879071R
issn
0350-0608
Subject
autocorrelation, cross-correlation, autoregressive model, cross-regressive model, autocross regressive model, nitrates, Banja Spring, Serbia.
Шира категорија рада
M20
Ужа категорија рада
М24
Права
Отворени приступ
Лиценца
All rights reserved
Формат
.pdf
Медија
20.pdf

Vesna Ristić-Vakanjac, Marina Ćokorilo-Ilić, Petar Papić, Dušan Polomčić, Radisav Golubović. "AR, CR and ARCR modeling for simulations and analyses of karst groundwater quality parameters" in Geološki anali Balkanskoga poluostrva, National Library of Serbia (2018). https://doi.org/10.2298/GABP1879071R

This item was submitted on 19. јануар 2023. by [anonymous user] using the form “Рад у часопису” on the site “Радови”: http://romeka.rgf.rs/s/repo

Click here to view the collected data.