scholarly journals Repeated Subsurface Thermal Profiling to Reveal Temporal Variability in Deep Groundwater Flow Conditions

2020 ◽  
Vol 56 (6) ◽  
Author(s):  
V. F. Bense ◽  
B. L. Kurylyk ◽  
J. G. H. Bruin ◽  
P. Visser
2018 ◽  
Vol 42 (1) ◽  
pp. 41-54 ◽  
Author(s):  
Shahpara Sheikh Dola ◽  
Khairul Bahsar ◽  
Mazeda Islam ◽  
Md Mizanur Rahman Sarker

Attempt has been made to find the relationship between the basin groundwater flow and the current water chemistry of south-western part of Bangladesh considering their lithological distribution and aquifer condition. The correlation of water chemistry and basin groundwater flow is depicted in the conceptual model. The water-types of shallow groundwater are predominantly Mg-Na-HCO3 and Ca- Mg-Na-HCO3 type. In the deep aquifer of upper delta plain is predominately Na-Cl, Ca-HCO3 and Mg- HCO3 type. In the lower delta plain Na-Cl type of water mainly occurs in the shallow aquifer and occasionally Ca-HCO3, Ca-Mg-Na-HCO3 and Mg-HCO3 type may also occur in shallow aquifer of the eastern part of lower delta plain which could have originated from the recent recharge of rain water. Na- Cl type water is also found in the deep aquifer of lower delta plain. The origin of Na-Cl type water in the deep aquifer of lower delta part might be connate water or present day sea water intrusion. Fresh water occurring in the deep aquifer in the lower delta area is mostly of Mg-Ca-HCO3 and Na-HClO3 types. This type of water originate from intermediate or deep basin flow from the northern part of Bangladesh. The probable source of deep groundwater is Holocene marine transgression (Khan et al. 2000) occurred in 3000–7000 cal years BP and the deep groundwater of Upper Delta plain and Lower Delta plain is clearly influenced by deep basin flow coming from north part of BangladeshJournal of Bangladesh Academy of Sciences, Vol. 42, No. 1, 41-54, 2018


2007 ◽  
Vol 22 (1) ◽  
pp. 128-151 ◽  
Author(s):  
Richard Metcalfe ◽  
Mark B. Crawford ◽  
Adrian H. Bath ◽  
Anna K. Littleboy ◽  
Paul J. Degnan ◽  
...  

2021 ◽  
Vol 165 ◽  
pp. 391-404
Author(s):  
Teresa Magraner ◽  
Álvaro Montero ◽  
Antonio Cazorla-Marín ◽  
Carla Montagud-Montalvá ◽  
Julio Martos

2011 ◽  
Vol 26 ◽  
pp. S94-S96 ◽  
Author(s):  
J.C. Maréchal ◽  
J. Riotte ◽  
C. Lagane ◽  
S. Subramanian ◽  
C. Kumar ◽  
...  

2020 ◽  
Author(s):  
Petra Baják ◽  
Katalin Csondor ◽  
Heinz Surbeck ◽  
Bálint Izsák ◽  
Márta Vargha ◽  
...  

<p>In groundwater, the soluble members of the uranium decay chain such as uranium, radium, and radon can be found in significant concentration. Their distribution is affected by physicochemical properties such as pH, redox potential and chemical composition of the groundwater. Uranium can be mobilised under oxidising conditions especially in the water where the pH is near neutral and has high alkalinity. In contrast, radium is mobile in reducing environment, enhanced by the presence of carbonate, sulphate, chloride. These parameters vary along the groundwater flow paths and with regard to the change of regime characteristics. Areas with recharge regime and discharge points of local flow systems are characterised by oxidising environment while discharge areas of higher-order systems tend to be reducing. The natural radioactivity of groundwater, as a possible threat for human health, has been investigated for a few decades as groundwater is a very common drinking water source. In Hungary, 96% of the water supply relies upon groundwater. Following the Euratom Drinking Water Directive the radioactivity of drinking water is screened in Hungary by gross alpha and gross beta activity measurements. Whenever the measured concentrations surpass the limit values the long-term consumption of the water can lead to health issues. High values of gross alpha activity can be found in the foreland of Lake Velence. Previous studies have already shown high uranium concentration values (compared to average crust values) related to the Velence Granite Formation in Velence Hills and to the carbonatic and organic-rich beds of the Ujfalu Formation in the foreland of Lake Velence. Until recently no observations and measurements were made regarding the radioactivity of the groundwater. Therefore, uranium, radium, and radon concentration measurements were carried out in the adjacent area and interpreted in flow system context. A total of 53 samples were taken from surface water as well as from groundwater. Alpha spectrometry applied on Nucfilm discs was used to measure the uranium (U-234, U-238) and radium (Ra-226) activity while radon (Rn-222) activity was determined by TriCarb 1000 TR liquid scintillation detection. Pressure-elevation profiles, hydraulic cross-sections, tomographic potential maps were compiled to understand the groundwater flow directions and regime characteristics in the wider area. The areal distribution of the activity concentration values was interpreted regarding the groundwater flow system, physicochemical parameters measured onsite and in the laboratory. Those areas can be delineated where according to the flow conditions and the related geochemical environment the mobility of the uranium or radium and thus elevated activity concentration can be expected in groundwater. The results of the study have proved that the areal variability of the natural radioactivity of the groundwater is strongly affected by the groundwater flow conditions along with geological features. This flow system approach and its methodology may facilitate the safe water management of drinking water supply systems.</p><p>This study was supported by the ÚNKP-17-4 and ÚNKP-18-3 New National Excellence Program of the Ministry of Human Capacities and it has also received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 810980.</p><p> </p>


2004 ◽  
Vol 36 (4) ◽  
pp. 2012
Author(s):  
A. Μανάκος ◽  
Γ. Δημόπουλος

Several stochastic models, known as Box and Jenkins or SARIMA (Seasonal Autoregressive Integrated Moving Average) have been used in the past for forecasting hydrological time series in general and stream flow or spring discharge time series in particular. SARIMA models became very popular because of their simple mathematical structure, convenient representation of data in terms of a relatively small number of parameters and their applicability to stationary as well as nonstationary process.Application of the seasonal stochastic model SARIMA to the spring's monthly discharge time series for the period 1974-1993 in Krania Elassona karst system yielded the following results. Logarithms of the monthly spring discharge time series can be simulated on a SARIMA (4,1,1)(1,1,1)12 type model. This type of model is suitable for the Krania Elassona karst system simulation and can be utilised as a tool to predict monthly discharge values at Kafalovriso spring for at least a 2 year period. Seasonal stochastic models SARIMA seem to be capable of simulating both runoff and groundwater flow conditions on a karst system and also easily adapt to their natural conditions.Adapting the proper stochastic model to the karst groundwater flow conditions offers the possibility to obtain accurate short term predictions, thus contributing to rational groundwater resources exploitation and management planning


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