Revealing the background of groundwater level dynamics: Contributing factors, complex modeling and engineering applications
Само за регистроване кориснике
2019
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Authors provide extensive analysis of groundwater level dynamics, in order to classify the observed data, to determine the role of contributing factors and to derive specific estimation models, based on the recordings made at four piezometric stations in Serbia: Leskovac, Kruševac, Negotin and Bogatić. Results obtained indicate the predominant impact of noise confirmed by surrogate data testing, determinism test and Box–Jenkins approach. It is shown that surface water level has a strong impact on the observed dynamics, while the effect of rainfall is almost statistically insignificant. Authors also propose different estimation models: as a combination of deterministic and stochastic components, as a nonlinear function of contributing factors and in a form of system of stochastic differential equations. At the end, authors illustrate simple application of some of derived models in engineering practice for slope stability analyzes.
Кључне речи:
Groundwater level / Nonlinear time series analysis / Multiple linear regression / Estimation models / ApplicationИзвор:
Chaos, Solitons & Fractals, 2019, 127, October, 408-421Издавач:
- Elsevier
Финансирање / пројекти:
- Оцена утицаја климатских промена на водне ресурсе Србије (RS-MESTD-Technological Development (TD or TR)-37005)
DOI: 10.1016/j.chaos.2019.07.007
ISSN: 0960-0779
WoS: 000487764300037
Scopus: 2-s2.0-85069597625
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Kostić, Srđan AU - Stojković, Milan AU - Guranov, Iva AU - Vasović, Nebojša PY - 2019 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3956 AB - Authors provide extensive analysis of groundwater level dynamics, in order to classify the observed data, to determine the role of contributing factors and to derive specific estimation models, based on the recordings made at four piezometric stations in Serbia: Leskovac, Kruševac, Negotin and Bogatić. Results obtained indicate the predominant impact of noise confirmed by surrogate data testing, determinism test and Box–Jenkins approach. It is shown that surface water level has a strong impact on the observed dynamics, while the effect of rainfall is almost statistically insignificant. Authors also propose different estimation models: as a combination of deterministic and stochastic components, as a nonlinear function of contributing factors and in a form of system of stochastic differential equations. At the end, authors illustrate simple application of some of derived models in engineering practice for slope stability analyzes. PB - Elsevier T2 - Chaos, Solitons & Fractals T1 - Revealing the background of groundwater level dynamics: Contributing factors, complex modeling and engineering applications EP - 421 IS - October SP - 408 VL - 127 DO - 10.1016/j.chaos.2019.07.007 ER -
@article{ author = "Kostić, Srđan and Stojković, Milan and Guranov, Iva and Vasović, Nebojša", year = "2019", abstract = "Authors provide extensive analysis of groundwater level dynamics, in order to classify the observed data, to determine the role of contributing factors and to derive specific estimation models, based on the recordings made at four piezometric stations in Serbia: Leskovac, Kruševac, Negotin and Bogatić. Results obtained indicate the predominant impact of noise confirmed by surrogate data testing, determinism test and Box–Jenkins approach. It is shown that surface water level has a strong impact on the observed dynamics, while the effect of rainfall is almost statistically insignificant. Authors also propose different estimation models: as a combination of deterministic and stochastic components, as a nonlinear function of contributing factors and in a form of system of stochastic differential equations. At the end, authors illustrate simple application of some of derived models in engineering practice for slope stability analyzes.", publisher = "Elsevier", journal = "Chaos, Solitons & Fractals", title = "Revealing the background of groundwater level dynamics: Contributing factors, complex modeling and engineering applications", pages = "421-408", number = "October", volume = "127", doi = "10.1016/j.chaos.2019.07.007" }
Kostić, S., Stojković, M., Guranov, I.,& Vasović, N.. (2019). Revealing the background of groundwater level dynamics: Contributing factors, complex modeling and engineering applications. in Chaos, Solitons & Fractals Elsevier., 127(October), 408-421. https://doi.org/10.1016/j.chaos.2019.07.007
Kostić S, Stojković M, Guranov I, Vasović N. Revealing the background of groundwater level dynamics: Contributing factors, complex modeling and engineering applications. in Chaos, Solitons & Fractals. 2019;127(October):408-421. doi:10.1016/j.chaos.2019.07.007 .
Kostić, Srđan, Stojković, Milan, Guranov, Iva, Vasović, Nebojša, "Revealing the background of groundwater level dynamics: Contributing factors, complex modeling and engineering applications" in Chaos, Solitons & Fractals, 127, no. October (2019):408-421, https://doi.org/10.1016/j.chaos.2019.07.007 . .