Groundwater Monitoring System Research Articles

Characterization of naturally occurring radioactive material dynamics in community water systems using groundwater from Ganghwa Island, Republic of Korea

Understanding the temporal behaviors of naturally occurring radioactive materials is important for the maintenance of community water supply systems for drinking groundwater on islands and in mountainous areas. Intensive field sampling in the Republic of Korea to characterize temporal variation in 238U concentration and 222Rn activity was performed for three community water systems on Ganghwa Island for ten years (2012–2022). 222Rn, a dissolved gas in groundwater, tended to decrease in activity as water moved from the source through community water systems, but no such trend was observed in 238U concentration. 238U and 222Rn behaviors in time series data for different CWSs reflected different geochemical processes and were differently classified accordingly. In particular, the 238U and 222Rn at points GJ and YH shows the signature of weathering: accompaniment by variation in pH and dissolved oxygen. In other time series, the 238U and 222Rn behavior shows the signature of cation exchange by seawater intrusion: accompaniment by dramatic variation in electrical conductivity. Random forest regression models developed to estimate the 238U concentration and 222Rn activity in groundwater boreholes exhibited reasonable threshold classification accuracy. The optimized threshold structure for 238U concentration and 222Rn activity variation with respect to the water quality variable of greatest statistical importance in each community water system random forest regression model corresponded to the geochemical process controlling the behavior of 238U and 222Rn in that groundwater borehole. Therefore, more intensive field sampling, covering the full data range that could emerge at each groundwater borehole, can aid in enhancing the accuracy of estimation of 238U concentration and 222Rn activity. Furthermore, the use of an in situ groundwater monitoring system in a random forest regression model facilitates the effective management of community water systems in the face of risk posed by naturally occurring radioactive materials.

Hydrogeochemical characterization and quality assessment of groundwater resources in the Upper-Doab region of Uttar Pradesh, India

The present study tries to delineate groundwater zones in the Upper-Doab region of Uttar Pradesh, India based on its suitability for the use of domestic and irrigation purposes considering the physico-chemical parameters of groundwater samples (n ∼ 70) using Weighted Arithmetic Water Quality Index (WAWQI) and Composite Groundwater Quality Index for Irrigation (CGQII) methods, respectively. The Upper-Doab region of Uttar Pradesh is bounded by the mighty rivers of Ganga and Yamuna in the east and west respectively. In the southwest, the region shares the boundary with the national capital of Delhi, which has led to an increase in the growth of urbanization and industrialization in the region. These factors have a visible negative impact on the groundwater scenario of the region. Hydrogeochemical investigation reveals that the ionic dominance in the groundwater samples is in the order of HCO3 > Cl > SO4 > NO3 > F and Na > Mg > Ca > K. Chemical history of groundwater samples using piper-trilinear diagram shows that Ca-Mg-HCO3 and Ca-Na-HCO3 type of groundwater is mostly found in this region. Gibb’s plot reveals that rock-water interaction was dominantly controlling the ionic composition of the groundwater in the unconfined aquifer environment. Further, the bivariate plot of (SO4 + HCO3) vs. (Ca + Mg) reveals that the weathering of calcite and dolomite minerals present in the aquifer environment has largely attributed chemical character to the groundwater of the region. The groundwater zoning concerning its domestic and agricultural use reveals that the groundwater of Meerut, Muzaffarnagar, Baghpat, Ghaziabad, and Gautam Buddha Nagar districts have poorer quality of groundwater due to high electrical conductivity and higher concentration of nitrate which has a higher anthropogenic link. The evaluation of groundwater quality for irrigation using a single index value i.e., CGQII makes this study different from the other hydrochemical investigations under similar hydrogeolocal aquifer conditions in the region. The study suggests that corrective measures like, strict implementation of untreated discharge of industrial effluents to the water or groundwater directly, creating awareness among farmers for lesser use of chemical fertilizers, and regular groundwater monitoring systems for quality analysis must be considered for a sustainable future of the region.

IMPLEMENTATION OF AN INTEGRATED MONITORING SYSTEM TO ENSURE THE ENVIRONMENTAL SAFETY OF WATER RESOURCES

Groundwater pollution is a serious environmental problem in Ukraine, where groundwater is used for drinking, industrial, and agricultural purposes. Compliance with hygienic requirements for water quality is especially important during wartime, as underground water is a strategic source of drinking water for the population. Therefore, effective groundwater monitoring and management are crucial for ensuring Ukraine's ecological safety. To address water pollution, continuous monitoring of water quality is necessary, especially near industrial facilities and landfills for solid household waste. However, the existing monitoring systems in Ukraine are not always effective, and complete and accurate information about the state of groundwater is not always available. To effectively manage water resources, it is necessary to consider the possibility of creating an integrated monitoring system that combines various methods and technologies to obtain more complete information about the state of water resources and manage them effectively. An overview of the problem of groundwater pollution in Ukraine was conducted, and the existing methods of groundwater monitoring were analyzed, with their advantages and disadvantages established. The current state of groundwater monitoring in Ukraine was also considered. A brief description of the Integrated Groundwater Monitoring System was presented, and its role in effective groundwater management and the prevention of water pollution was discussed. The possibility of using the Integrated Monitoring System in Ukraine was also considered. It was proposed to use monitoring sensors that measure the parameters of water seeping from the aeration zone to the saturation zone in real-time mode. In conclusion, the role of the Integrated Groundwater Monitoring System in solving the problem of water pollution was emphasized, and recommendations were made for its implementation in practice. Further prospects for research in the field of groundwater monitoring in Ukraine were also outlined.

Modelling Plume Development with Annual Pulses of Contaminants Released from an Airport Runway to a Layered Aquifer, Evaluation of an In Situ Monitoring System

In cold climates, the use of de-icing chemicals in the winter can lead to groundwater contamination, especially when used in large quantities, such as at airports. Oslo Airport, Gardermoen, is situated on Norway’s largest rain-fed aquifer. Potassium formate is used to remove ice from runways and propylene glycol from airplanes; the organic parts are degradable. Most of the wells to monitor the spread of de-icing chemicals in the underlying aquifer have well screens near the groundwater level, while the runways and the source of de-icing chemicals are near the groundwater divides, where vertical flow is expected. The objective of this study is to demonstrate the importance of layers and time-varying recharge on the spreading of contaminant plumes in an aquifer near a groundwater divide. This is done with numerical modelling. The model results show increased vertical transport of the added tracer in the presence of horizontal layers, both continuous and discontinuous, in the aquifer. With certain distributions of hydraulic conductivity, Ks, we demonstrate that deeper monitoring wells are required. With the scenarios modelled here, time-varying recharge has a weaker effect on plume distribution. Measured concentrations of potassium and total organic carbon show the cyclic effect of seasonally varying recharge of contaminants, and an asymptotic accumulation of concentration over time, that is consistent with the model runs. In conclusion, groundwater monitoring systems near a groundwater divide should include multi-level samplers to ensure control of the vertical plume movement.

Modeling of arsenic dynamics in groundwater of а river floodplain contaminated with mine tailings: Ogosta River case, NW Bulgaria

This study aims to reveal the arsenic dynamics in groundwater of а river floodplain contaminated with mine tailings under temperate climate conditions and natural river hydrodynamics. Arsenic concentrations were monitored in the primary morphological units of the floodplain in the upper stretch of the Ogosta River in NW Bulgaria. Iron, lead-silver, and gold mining heavily affected the river valley in the second half of the 20th century. We used groundwater monitoring data from 21 piezometers for the period 2016-2020. Based on the geochemical and geomorphological conditions in the valley, the piezometers were grouped into three clusters. Regression models were developed for each cluster and representative piezometers to predict arsenic concentrations. In the active floodplain, seasonal fluctuations in arsenic concentrations followed the river and groundwater regime. In this part of the valley floor, we determined two periods of elevated arsenic concentrations during the spring and autumn/winter seasons that coincide with high river water stages. Arsenic content in the groundwater of the higher floodplain was less dependent on the water level fluctuations but followed changes in redox potential, electrical conductivity, and water temperature. The obtained results showed the elaborated models as valuable tools for studying arsenic dynamics in alluvial aquifers of contaminated river floodplains. The suggested models could be coupled with groundwater monitoring systems to monitor arsenic concentrations and identify periods of the year with levels below and above threshold values.

Investigating the impact of long-term agricultural practices on selected peri-urban aquifers in tropical Southwest India

Hydrogeochemical evaluation of groundwater resources is of paramount significance in the tropics as it aids identification of safe and sustainable water resources. Evaluation of heavy metals in water is necessary as they integrate into the food chain and pose deleterious effects on human and aquatic life. To identify the extent of heavy metal occurrence in groundwater, 40 samples were collected seasonally from dug wells located in agriculture-intensive areas and analysed for physicochemical parameters and heavy metals. Water quality and pollution indices were used to evaluate overall groundwater quality and threat to humankind. The heavy metal concentrations in groundwater were observed in the increasing sequence of Zn > Cu > Pb > Ni > Co (post-monsoon) and Zn > Pb > Cu > Ni > Co (pre-monsoon). Heavy metal pollution index (HPI) revealed that the dissolved heavy metal content was found below critical value. Correlation analysis (CA) and principal component analysis (PCA) revealed that the groundwater hydrochemistry is influenced by geogenic (rock-water interaction, precipitation, simple dissolution, and base-exchange reactions) and anthropogenic sources. The results of this study will help in developing a long-term groundwater monitoring system for metal pollution, sustainable management, and conservation of peri-urban groundwater resources to achieve water security.

IoT-based drinking water quality measurement: systematic literature review

Sustainable development throughout the world depends on several factors such as the economy, quality education, agriculture, industry, among others, but the environment is one of the most important. Industrialization and new land use plans have caused the proliferation of pollutants in water resources, which poses a serious public challenge. As outlined in the sustainable development goals (SDGs), innovative water quality monitoring methods are needed to ensure access to water, sustainable management and sanitation. In this sense, technologies are sought that contribute to the development and implementation of groundwater and surface water quality monitoring systems in real time, so that their parameters can be evaluated through descriptive analysis, in rural populations and areas of difficult access. Nowadays, the internet of things (IoT) and the development of modern sensors are more used, so this research reviews the latest technologies to monitor and evaluate water quality using the potential and possibilities of the IoT. The main contribution of this article is to present an overview of the state of the art of IoT applications and instrumentation for water quality monitoring, focusing on the latest innovations, in order to identify interesting and challenging areas that can be explored in future research.

Apps for Smart Groundwater Monitoring and Assessments: A Case Study of Regideso Catchment in Kimbanseke

There are various groundwater data bases and scanty/sketchy groundwater monitoring and information systems. Groundwater monitoring has been difficult in the Southern African region, particularly, the Democratic Republic of Congo (DRC), for the water administrative authorities. Water clients do not submit the required compulsory critical data for effective monitoring of water use. This, combined with the absence of limits to boreholes dug by permit holders to the water authorities, has led to challenges in decision-making and groundwater conservation. In this mixed method research, using an Android telephone, well data (water levels) and climatic related information such as precipitation were assembled and sent to a composed store through a sort code/USSD/Instrument free line in texts (SMS). This is proficient through a 3G/GSM/GPRS module that is part of the sensor equipment to be used for this procedure. Once in the store, requests were used to recuperate data in the required design. Additionally, a cloud framework at the point where a long-lasting file was followed up. Although the experimentation is still on-going for the case of the Kimbanseke catchment in DRC, the preliminary findings are that the Kimbanseke catchment has a fluctuating abstraction rate resulting from no clear monitoring mechanism, and that research on the development of an application and/or MS Excel© monitoring spreadsheet, using the scores, and ranking of the factors, is necessary. Therefore, a study was carried out with the aim of creating an analysis application for groundwater sustainability in the Kimbanseke catchment. An application for monitoring and evaluation of the groundwater level should be considered so that the sustainable yield is routinely adjusted for the Kimbanseke catchment.

Physicochemical patterns observed in a groundwater well with CO2 stratification: Learnings from an automated monitoring from South Korean national groundwater monitoring network

Unusual episodic fluctuations of electrical conductivity (EC) were observed twice a year in a national groundwater monitoring network well in South Korea where EC was automatically monitored at a depth of 20 m below ground level (bgl). To address the causes of the observed EC fluctuations, this study examined the depth profile of wellbore water in the 70-meter-deep monitoring well screened between 50 and 70 m bgl and cased down to 50 m bgl. The results of well logging, borehole video recording, and hydrochemical analysis of wellbore water indicated that the CO2-rich groundwater entering through the screened zones below 50 m bgl was physicochemically stratified into three layers with distinct EC that were separated by two transition zones in the well: a bottom layer (70–43 m bgl) with an EC of ∼3900 μS/cm, intermediate layer (35–24 m bgl) of ∼1800 μS/cm, and top layer (16–3 m bgl) of ∼300 μS/cm. The first transition zone at depths of 43–35 m bgl was attributed to CO2 exsolution in the open system and the subsequent physicochemical changes of wellbore water, while the second transition zone at depths of 24–16 m bgl was formed by the precipitation of hydrous ferric oxides with consequent sorption of remaining ions due to a sudden change toward the oxidizing environment. The monitoring probe installed at a depth of 20 m bgl was found to be located within the upper transition zone, which caused EC peaks when the well was purged at a depth of 25 m bgl for well maintenance twice a year. This study shows that automated groundwater monitoring systems may misguide one about the groundwater quality if an unexpected physicochemical variation (such as stratification) occurs in a monitoring well. Therefore, the presence of interface zones caused by abrupt changes in EC must be carefully considered when an automated monitoring well is designed. The screened zone is a suitable location for installing an automated monitoring probe to measure the representative water quality (i.e., EC), in particular, in an aquifer that is under the influence of inputs of low-pH and high-TDS fluids (e.g., CO2-rich groundwater and acid mine drainage).

Design and application of groundwater dynamic online monitoring system in Aeolian desertification area

Populus euphratica, at Tarim Nature Reserve, growing in their natural habitat represents a valuable resource for the surface vegetation on the response mechanism to underground water level. In order to study the distribution of the groundwater level in Aeolian desertification areas, aiming at the current situation of groundwater dynamic online monitoring in Aeolian desertification areas, the network was effectively used to simplify data processing, increase the function of forecast and warning and optimize the power supply system. The results show that the equipment installed in Aeolian desertification areas has completed the remote transmission of data and data analysis. Based on the 25d real-time monitoring data, the groundwater level fluctuates between 0.604 and 1.515 m. Based on the table of groundwater level threshold of populus euphratica growth, the groundwater level at this location is between 0.50 and 4.71 m, and has not crossed the threshold of good growth and stress. Therefore, populus euphratica is growing well, and the equipment does not produce early warning information. Field investigation shows that populus euphratica grows well in this area, and there are many new seedlings germination, which is consistent with the data. Thus, the groundwater monitoring system can be used for dynamic monitoring of groundwater level in Aeolian desertification areas.

Development of IoT Real-Time Groundwater Monitoring System

Internet of Things (IoT) Real-Time Groundwater Monitoring System is a system built to monitor groundwater extraction and consumption. Groundwater scarcity has become a major threat to the government especially water utility company. Water theft, inaccuracy meter reading & lock out access are some problems contributing to water scarcity. In this research, data obtained from the groundwater consumption using flow sensor will be sent to the server where all this data will be recorded for future analysing by respective authorities. The system has been tested thoroughly using of Long Range (LoRa) communication module together with Thingspeak cloud and mobile application. The results showed promising coverage with Line of Sight (LOS) is tested at 900m maximum while for Non-Line of Sight (NLOS) is at 600m. A very small standard deviation up to 4.93 was observed for received Signal Strength Indicator (RSSI) value for LOS and NLOS. Compared with the existing manual method, the proposed IoT system will water authority to monitor water consumption effectively through real time and better coverage.

Integrated approach for optimizing groundwater monitoring systems using evolutionary algorithms

ABSTRACT This study aimed to develop a new approach to build a functioning groundwater monitoring system by detecting a reduced set of observation wells (OWs) that optimally matches the hydraulic heads measured by other OWs within the field, namely as leader wells (LWs). The optimization models used in this work are the well-known genetic algorithm (GA) and modified genetic algorithm (MGA) and a new progressive combination (PC) model. Optimization was applied to achieve three sequential selection processes: best input combinations (BICk), LWs and core leader wells (CLWs). This approach was applied to the Assiut New Barrage (ANB), a megaproject located in Assiut city, Egypt. The results show that nine LWs among 33 OWs are adequate for regular monitoring, with a reduction ratio of 72.72%. Moreover, assigning CLWs among LWs increases the accuracy of fitting to existing OWs, and helps in understanding the spatial relationships among OWs.

Assessment of groundwater contamination by using numerical methods

Groundwater vulnerability maps by numerical methods help to set priorities for identifying areas that are most affected by pollutants, enabling decision makers, departments and government agencies to save additional funds in the event of a groundwater monitoring and protection system for the entire study area.Numerical methods as SINTACS and Modified DRASTIC with GIS technologies are depended in this study. SINTACS Vulnerability Index (SVI) is based on seven parameters while Modified DRASTIC Index (MDI) is based on eight parameters but both methods are adopted weighted sum overlay of the parameters. Final results of SINTACS Vulnerability map depicts four classes from very low to high which varies from (77 to 144). About 82.81% of study area is classified under moderate vulnerability; the remaining 15.08% and 1.75% are under high and low vulnerability respectively. MD- DRASTIC vulnerability map ranges (85–179). This range of index values is divided into four classes including very low to high vulnerability classes. About (72.35%) of the study basin has moderate vulnerability. High vulnerability measured as a second effective class of the studied area with (20.5%). While low and very low areas comprise (6.45% and 0.6%) respectively. Comparative study of two vulnerability maps with water quality data represented by nitrate concentration showed that MD- DRASTIC method is more suitable to represent the real reality of pollution of the area.

Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe

Abstract. Many European countries rely on groundwater for public and industrial water supply. Due to a scarcity of near-real-time water table depth (wtd) observations, establishing a spatially consistent groundwater monitoring system at the continental scale is a challenge. Hence, it is necessary to develop alternative methods for estimating wtd anomalies (wtda) using other hydrometeorological observations routinely available near real time. In this work, we explore the potential of Long Short-Term Memory (LSTM) networks for producing monthly wtda using monthly precipitation anomalies (pra) as input. LSTM networks are a special category of artificial neural networks that are useful for detecting a long-term dependency within sequences, in our case time series, which is expected in the relationship between pra and wtda. In the proposed methodology, spatiotemporally continuous data were obtained from daily terrestrial simulations of the Terrestrial Systems Modeling Platform (TSMP) over Europe (hereafter termed the TSMP-G2A data set), with a spatial resolution of 0.11∘, ranging from the years 1996 to 2016. The data were separated into a training set (1996–2012), a validation set (2013–2014), and a test set (2015–2016) to establish local networks at selected pixels across Europe. The modeled wtda maps from LSTM networks agreed well with TSMP-G2A wtda maps on spatially distributed dry and wet events, with 2003 and 2015 constituting drought years over Europe. Moreover, we categorized the test performances of the networks based on intervals of yearly averaged wtd, evapotranspiration (ET), soil moisture (θ), snow water equivalent (Sw), soil type (St), and dominant plant functional type (PFT). Superior test performance was found at the pixels with wtd < 3 m, ET > 200 mm, θ>0.15 m3 m−3, and Sw<10 mm, revealing a significant impact of the local factors on the ability of the networks to process information. Furthermore, results of the cross-wavelet transform (XWT) showed a change in the temporal pattern between TSMP-G2A pra and wtda at some selected pixels, which can be a reason for undesired network behavior. Our results demonstrate that LSTM networks are useful for producing high-quality wtda based on other hydrometeorological data measured and predicted at large scales, such as pra. This contribution may facilitate the establishment of an effective groundwater monitoring system over Europe that is relevant to water management.

Groundwater Monitoring Systems to Understand Sea Water Intrusion Dynamics in the Mediterranean: The Neretva Valley and the Southern Venice Coastal Aquifers Case Studies

Sea water intrusion (SWI) has been widely recognized as a global problem, significantly influencing coastal aquifers, mostly through reduced water quality and agricultural production indicators. In this paper, we present the outcomes of the implementation of two independent real-time monitoring systems, planned and installed to get insights on groundwater dynamics within the adjacent coastal aquifer systems, one located in the Neretva Valley, southeastern Croatia, the other located south of the Venice lagoon, northeastern Italy. Both systems are presented with technical details and the capacity to observe, store, and transmit (Neretva site) observed values in real-time. Analysis of time series reveals the significant influence of the sea level oscillations onto the observed groundwater electrical conductivity (EC) and piezometric head values, while precipitation rate is detected as a driving mechanism for groundwater parameters in shallow geological units. The installed monitoring systems are shown to be of great importance to provide qualitative and quantitative information on the processes influencing groundwater and surface water dynamics within two coastal systems.

The groundwater monitoring system in Tuscany according to the EU Directive 2000/60 and the groundwater As contamination in the Versilia coastal plain

The EU Water Framework Directive 2000/60/EC commits European Union Member States to achieve good qualitative and quantitative status for all water bodies. Its application requires periodic monitoring of selected water bodies. Concerning groundwater bodies, the Tuscany Region selected monitoring wells for periodic sampling and performing chemical analyses. Results of these analyses are used to assess the qualitative status according to the EU Directive. In some cases, this groundwater monitoring can highlight some water pollution, hence activating more detailed investigations. In this work, we present the case of high arsenic concentrations in groundwater, reaching about 1000 μg/L, from domestic wells located in southern Versilia (Tuscany, Italy), close by the Baccatoio stream which receives acidic waters from a former mining site. Initially, the arsenic has been related to acid mine drainage from the nearby sites in the Baccatoio Valley. As-rich pyrite weathering was supposed to be the primary source for As in groundwater despite the Baccatoio stream is As-free. Although the evaluation of the amount of pyrite in sediments needs further investigations, alternative hypothesis were formulated. The highest As concentration is often accompained by high amounts of iron and ammonium ions reflecting reducing environments. This suggests the occurrence of secondary As-sources such as ferric oxyhydroxide and organic matter, likely in peat layers, undergoing reductive dissolution. The aim of this work is to carry out a preliminary assessment of the origin of the As contamination in groundwater of the Versilia coastal plain.

Low-Cost, Open Source Wireless Sensor Network for Real-Time, Scalable Groundwater Monitoring

Population growth, climate uncertainties, and unsustainable groundwater pumping challenge aquifer sustainability worldwide. Efficient and data-driven groundwater supply management is a necessity to maintain essential water-dependent functions. Currently, managers lack the cost-effective, scalable, and reliable groundwater monitoring systems needed to collect vital groundwater data. Existing automated groundwater monitoring systems tend to be cost-prohibitive, and manual methods lack the spatial or temporal resolution to sufficiently meet critical water modeling, management, and policy objectives. In this study, we developed a fully automated, open source, low cost wireless sensor network (LCSN) for real-time groundwater data acquisition, processing, and visualization in the South American Subbasin Groundwater Observatory (GWO), located in California, USA. We demonstrate the steps taken to create the GWO, including field, hardware, software, and data pipeline components so that it may be easily reproduced in new areas. We find that the GWO is comparable in cost to manual measurements at a weekly measurement frequency, and costs between three and four times less than comparable commercially available telemetry and dashboard systems, largely due to the use of free open source software to acquire, clean, store, and visualize data. The open source-powered GWO thus lowers the financial and technical barrier of entry for real-time groundwater monitoring, creating the potential for more informed water management worldwide, particularly in regions whose managers are restricted by the high capital costs of commercial monitoring systems.

Risk assessment for groundwater in the region of municipal landfill systems in Tychy-Urbanowice (Southern Poland)

Abstract An Environmental Risk Assessment is an efficient technical and analytical method for analyzing environmental impacts and it supports the decision-making process connected with projects variants by using historical data collection, identification of regional risk sources, probability and impact estimation of signal risk type. In this article, an Environmental Risk Assessment was performed for groundwater quality in the region of municipal landfills in Tychy-Urbanowice (Southern Poland) to assess the impact of various factors on the quality of groundwater in the region. The assessment used qualitative and quantitative risk analysis methods, including cause and consequence analysis, completion of an effect/probability matrix and utilization of the SWOT analysis method. The results of the assessment indicate that use of the SWOT analysis was the best method for groundwater risk assessment in the examined area. The analysis included an assessment of the spatial and temporal variability of leachate and groundwater quality (using data from a groundwater monitoring system), simulation of the longevity of both the top and bottom security system, spatial planning and an assessment of the impact of other parameters on groundwater, terrain and climatic conditions. The overall result for this analysis for the likely potential groundwater hazard was a score of -4. For the purposes of further risk analyses, it is possible to consider additional factors that are likely to affect the water quality of the area under investigation or to use other methods that will be based on a time series analysis.

Groundwater monitoring system and groundwater policy in relation to unified water resource management in Korea

Abstract The demand for water resources is consistently increasing due to industrialization and urbanization. Water resource management can become difficult because of climate change and social issues. Due to the difficulty in securing stable water resources, reasonable utilization and management of water is crucial for the sustainable development of groundwater resources that are an efficient alternative to surface water. For groundwater management, the National Groundwater Information Management Service (GIMS) Center for K-Water measures groundwater data hourly (groundwater level, water temperature, and electrical conductivity) at national groundwater monitoring stations and analyzes the long-term variation of groundwater with regard to climate change. According to the Groundwater Act (1993), auxiliary groundwater monitoring stations for groundwater use and water quality are activated by local governments. The observed data after the calibration process are provided for utilization by citizens, industries, schools, institutes, and government policies through annual reports on groundwater monitoring by the GIMS Center. In 2018, the Korean government merged water resources affairs that were once divided between the Ministry of Environment and the Ministry of Land, Infrastructure, and Transport. The change will be favorable for effective management of the surface water and groundwater resources as well as ensuring both quality and quantity.

Geoinformation technologies and methods of mathematical modeling in hydrogeological research

In the article the application issues of geographic information technologies and methods of mathematical modeling of geofiltration and geomigration processes of hydrogeological systems were discussed, as well as for information support of the groundwater monitoring system. The object of research is the Akhangaran aquifer, which is a large industrial area with intensification of agriculture, as well as densely populated, where industrial reproduction of water resources is established by designing water intake facilities using groundwater, also having huge data on regime, geological and hydrogeological aspects. The main goal of these researches is to learn the methodology for assessing groundwater resources by modeling to the GIS basis, theoretical and applied methods of mathematical analyses. The features are considered and the boundary and initial conditions are justified. The results are a research technique has been developed to simulate geofiltration and geomigration processes, to determine the balance of groundwater, and the hydrogeological parameters of the aquifer have been calculated from it. The calculated values of the natural resources of groundwater by the parameters of their level mode in the Akhangaran pool allowed establish the permissible convergence of resource estimates according to the amplitudes of fluctuations in the level of groundwater and according to geoinformation modeling.