scholarly journals Diversity of water level fluctuations in degraded Baltic raised bogs

2017 ◽  
Vol 28 (1) ◽  
pp. 1-7
Author(s):  
Filip Duda ◽  
Ewa Woźniak ◽  
Katarzyna Jereczek-Korzeniewska ◽  
Roman Cieślińsk
Keyword(s):  
Water Level ◽  
Water Table ◽  
Groundwater Level ◽  
Atmospheric Precipitation ◽  
Meteorological Conditions ◽  
Precipitation Extreme ◽  
Water Level Fluctuations ◽  
Raised Bogs ◽  
High Dynamic ◽  
Different Parts

Abstract The aim of paper is to present the diversity of water level fluctuations in degraded Baltic raised bogs. An attempt was made to answer the question how strong the diversity of fluctuations is both within each object and between two objects situated close to each other. Moreover, speed and value of the response of water level to atmospheric precipitation were analysed. The spatial scope of the paper covers two Baltic raised bogs in the lower part of the Łeba river valley: Czarne Bagno and Łebskie Bagno. The time scope covers years 2012-2014. The study found that both analysed bogs were a high dynamic in variation of groundwater level. Annual amplitudes of fluctuations in the water table was in the range of 28.4 to 77.9 cm (Łebskie Bagno) and of 45.6 to 105.0 cm (Czarne Bagno). It has been observed that lowering the water level on both peatlands always been recorded in the summer months, whilst the increase in the autumn, which lasted until spring. Retention and the water level on peatlands influenced primarily precipitation. Extreme meteorological conditions that make it less conspicuous is the variation resulting from factors such as location in different parts of the bog or type of degradation.

scholarly journals Research on critical groundwater level under the threshold value of land subsidence in the typical region of Beijing

2015 ◽  
Vol 372 ◽  
pp. 507-510
Author(s):  
Y. Jiang ◽  
J.-R. Liu ◽  
Y. Luo ◽  
Y. Yang ◽  
F. Tian ◽  
...  
Keyword(s):  
Water Level ◽  
Water Table ◽  
Land Subsidence ◽  
Groundwater Level ◽  
Threshold Value ◽  
Scientific Basis ◽  
Good Time ◽  
Linear Regression Models ◽  
Control Plan ◽  
Time Space

Abstract. Groundwater in Beijing has been excessively exploited in a long time, causing the groundwater level continued to declining and land subsidence areas expanding, which restrained the economic and social sustainable development. Long years of study show good time-space corresponding relationship between groundwater level and land subsidence. To providing scientific basis for the following land subsidence prevention and treatment, quantitative research between groundwater level and settlement is necessary. Multi-linear regression models are set up by long series factual monitoring data about layered water table and settlement in the Tianzhu monitoring station. The results show that: layered settlement is closely related to water table, water level variation and amplitude, especially the water table. Finally, according to the threshold value in the land subsidence prevention and control plan of China (45, 30, 25 mm), the minimum allowable layered water level in this region while settlement achieving the threshold value is calculated between −18.448 and −10.082 m. The results provide a reasonable and operable control target of groundwater level for rational adjustment of groundwater exploited horizon in the future.

Groundwater Level Prediction Using Support Vektor Machines and Autoregressive (AR) Modelss

2017 ◽  
Author(s):  
Fatih Üneş ◽  
Mustafa Demirci ◽  
Yunus Ziya Kaya ◽  
Eyup Ispir ◽  
Mustafa Mamak
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Ground Water ◽  
Water Level ◽  
Groundwater Level ◽  
Irrigation Water ◽  
Ground Water Level ◽  
Water Level Fluctuations ◽  
Amik Plain ◽  
Groundwater Level Prediction

Water resources managers can benefit from accurate prediction of the availability of groundwater. Ground water is a major source of water in Turkey for irrigation, water supply and industrial uses. The ground water level fluctuations depend on several factors such as rainfall, temperature, pumping etc. In this study, Hatay Amik Plain, Kumlu region was evaluated using Autoregressive (AR) and Support Vektor Machines (SVMs) methods. The monthly groundwater level was used the previous years data belonging to the Kumlu region.

scholarly journals Hydrological Regime of the Trans-Baikal Lakes in the conditions of the Changing Climate (Ivano-Arakhleysky Lakes as a Study Case)

2011 ◽  
pp. 4-14
Author(s):  
Keyword(s):  
Water Level ◽  
Climate Changes ◽  
Atmospheric Precipitation ◽  
Hydrological Regime ◽  
Water Level Fluctuations ◽  
Changing Climate ◽  
Long Term Changes ◽  
Study Case ◽  
Ice Water

Long-term changes of temperature of air and atmospheric precipitation in Transbaikalia and their influence on the hydrological regime of the Ivano-Arahleysky lakes are considered in the article. Climate changes have caused rise in temperature of water of lakes, reduction a thickness of ice and duration of standing of ice. Water level fluctuations have cyclic character and depend on long-term changes of atmospheric precipitation.

scholarly journals Analysis of Water Level Fluctuations and TDS Variations in the Groundwater at Mewat (Nuh) District, Haryana (India)

2016 ◽  
Vol 11 (2) ◽  
pp. 388-398 ◽  
Author(s):  
Priyanka Priyanka ◽  
Gopal Krishan ◽  
Lalit Mohan Sharma ◽  
Brijesh Yadav ◽  
N. C Ghosh
Keyword(s):  
Water Level ◽  
Groundwater Level ◽  
High Salinity ◽  
Indian Institute ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Monitoring Wells ◽  
Time Period ◽  
Institute Of Technology ◽  
Continuous Use

Groundwater is the major source for fulfilling the water needs of domestic and agricultural sectors in Mewat district, Haryana, India and its continuous use has put an enormous pressure on the groundwater resource, which along with low rainfall and variable geographical conditions lead to the declining water levels. The other problem of this area is high salinity which is reported intruding to the freshwater zone1. Taking into account the twin problem of declining water level and high salinity the study was taken up jointly by National Institute of Hydrology, Roorkee; Sehgal Foundation, Gurgaon and Indian Institute of Technology, Roorkee. Groundwater level and TDS (Total dissolved solids) data for pre-monsoon and post-monsoon seasons for the time period of 2011–2015 of 40 monitoring wells developed by Sehgal Foundation, Gurgaon was collected and analysed. It has been found that the groundwater level is decreasing in the area while TDS values show inconsistent trends during 2011-15. Further monitoring of the wells is continued to get the more information on water level and TDS which will help in facilitating the researchers in finding out the applicable solutions for the above problems in the Mewat, Haryana.

scholarly journals Nitrogen Migration and Transformation Mechanism in the Groundwater Level Fluctuation Zone of Typical Medium

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3626
Author(s):  
Yuepeng Li ◽  
Gang Bai ◽  
Xun Zou ◽  
Jihong Qu ◽  
Liuyue Wang
Keyword(s):  
Water Level ◽  
Groundwater Level ◽  
Fine Sand ◽  
Coarse Sand ◽  
Downward Trend ◽  
Water Level Fluctuations ◽  
Level Fluctuation ◽  
Medium Sand ◽  
N Concentration ◽  
Groundwater Level Fluctuation

Because of the nitrogen pollution problem in groundwater, the migration conversion mechanism of nitrogen in groundwater level fluctuations was analyzed. Technology and methods through indoor experiments and theoretical analysis were used to study coarse sand, medium sand, and fine sand groundwater level fluctuation in the aeration zone and saturated zone under the situation of nitrogen distribution characteristics, revealing groundwater level fluctuation with the nitrogen migration mechanism. The experimental results showed that the variation range of the nitrate-nitrogen (NO3−−N) concentration with the water level is medium sand > fine sand > coarse sand. The ammonium nitrogen (NH4+−N) concentration showed a downward trend after water level fluctuations, and there were more apparent fluctuations in coarse sand and medium sand. The nitrite nitrogen (NO2−−N) in coarse sand and medium sand first increased the water level and then gradually reached a balance. The sampling points below the water level in fine sand showed a downward trend with fluctuation of the water level, and then gradually reached equilibrium. The results provide a scientific basis for the remediation and treatment of soil and groundwater pollution.

scholarly journals Evaluation of Groundwater Resources in Aiyar Basin: A GIS Approach for Agricultural Planning and Development

2019 ◽  
Vol 4 (3) ◽  
pp. 302 ◽  
Author(s):  
K Balasubramani ◽  
M Gomathi ◽  
K Kumaraswamy
Keyword(s):  
Water Level ◽  
Groundwater Level ◽  
Hot Spot ◽  
Groundwater Resources ◽  
Water Level Fluctuations ◽  
Cropping Pattern ◽  
Hot Spot Analysis ◽  
Post Monsoon ◽  
Agricultural Planning ◽  
Spot Analysis

Groundwater is an integral part of agriculture and rural development. In the present study, an attempt has been made to analyse the spatio-temporal variations of groundwater level in Aiyar basin using spatial statistics and GIS so as to associate the variations with cropping pattern; to suggest agricultural planning and development practices. The groundwater level was measured in the basin through 40 dug wells in the months of July (pre-monsoon) and January (post-monsoon) besides water level data collected from 50 permanent monitoring wells for a period of thirty-six years (1980-2015) from the State Groundwater Division for spatial and statistical analyses. In order to understand the fluctuations in the groundwater level of the basin, seasonal groundwater levels were computed for pre and post-monsoon seasons. To understand the regional variations in water level fluctuations, hot spot analysis is carried out using Getis-Ord Gi* statistics in GIS. Based on z-score, the basin is divided into five clusters. The long-term fluctuation of groundwater level in each cluster was examined independently and the trends were determined. Based on the trend of groundwater level and cropping pattern of the clusters, suggestions are drawn for each cluster for agricultural planning and development. By comparing the clusters, it is found that the foot of Kollimalai and Pachamalai hills (cluster-4 and 5) experiences a severe drop in groundwater level. During the last 36 years, the water table of these clusters is decreased from 4 m to 10 m BGL and the rate of decline is very severe after the drought years of 2002-2003. The main reason for the declining water level in this region is the cultivation of wet crops especially paddy and sugarcane in extensive areas, although irrigation facilities are limited and the climate is conducive only for rainfed agriculture. Hence, it is necessitated to reduce the acreage of wet crops and compensate by suitable dry crops in these clusters.     Keywords: Groundwater, Agriculture, GIS, Hot Spot Analysis, River basin, SDG

scholarly journals Comparison of Various Growth Curve Models in Characterizing and Predicting Water Table Change after Intensive Mine Dewatering Is Discontinued in an East Central European Karstic Area

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1047
Author(s):  
Kamilla Modrovits ◽  
András Csepregi ◽  
Ilona Kovácsné Székely ◽  
István Gábor Hatvani ◽  
József Kovács
Keyword(s):  
Water Level ◽  
Water Table ◽  
Growth Curve ◽  
Water Resource Management ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Karst Water ◽  
East Central ◽  
Growth Curve Models ◽  
Deterministic Modelling

The modeling of karst water level fluctuations is a crucial task in the water resource management of vulnerable karstic areas. In the Transdanubian Range (East Central Europe, Hungary), from 1950 to 1990, coal and bauxite mining were carried out, with large amounts of karst water being extracted, thus lowering the water table by amounts ranging between 10 and 100 m. Since the cessation of mining activities in the early 1990s, the volume of natural recharge has exceeded the amount of dewatering, and the system has begun to return to its original undisturbed state. This apparently welcome development does, however, bring economic and technical engineering problems. The estimation and prediction of such water level changes is often tackled via the use of deterministic approaches, however, in the present case, it is also addressed with an alternative approach using trend estimation to monthly water level data from 107 karst water wells over the period 1990–2017. To approximate the change in karst water levels, (i) growth curve models were fitted to the monthly data, allowing the estimation of karst water levels, at least as far as 2030. Similarly, this was also done with (ii) deterministic modelling in order to describe the recovery process up to 2030. Specifically, measured and predicted values for karst water level were used to derive interpolated (kriged) maps to compare the forecasting power of the two approaches. Comparing the results of the trend analysis with those of the traditional deterministic modelling results, it is apparent that the two approaches predict similar spatial distribution of water levels, but slightly different future water level values.

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