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
- Скупови објеката
- Весна Ристић Вакањац
- Петар Папић
- Душан Поломчић
- Марина Чокорило Илић
- Radovi istraživača
- 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://dr.rgf.bg.ac.rs/s/repo
Click here to view the collected data.