Quantitative Study on the Changes of Karst Groundwater Level and Hydrochemistry in Jinci Spring Catchment, Shanxi, China

Investigating the hydraulic connectivity of a complex karst aquifer system is an important research topic for sustainable operation and optimization layout of karst groundwater exploitation and recharge. However, the identification of preferential sites of recharge and exploitation is usually subject to regional hydrogeology conditions and the mechanisms of recharge and exploitation. The conventional research methods of hydraulic connectivity often have some limitations. In this study, we developed an improved grey amplitude relation model to explore the hydraulic connectivity in Jinan spring catchment and presented a quantized evaluation index water table fluctuation relation degree (WTFRD) using karst groundwater table data in Western Jinan and Jinan spring groups from 2014 to 2017. Results showed that the total WTFRD was 0.854 between Western Jinan and Jinan spring groups when the external distraction for karst groundwater table was the smallest, which was in high relation degree grade. Meanwhile, the change rules of karst groundwater table in the two sites were basically the same. Accordingly, a high connectivity occurred between the two karst aquifers from a statistical perspective, and further illustrated that Western Jinan could be selected as preferential experiment sites. A comprehensive case in Jinan spring catchment indicated that the WTFRD provided a preliminary idea to investigate hydraulic connectivity quantitatively. This method could be considered as a pre-study of the conventional experiments to form a high-efficiency and low-cost combined method, which has great potential and merits further study.

Download Full-text

Hydraulic-Hydrology Analysis of the Turbulent Seepage Flow within Karst Aquifer of the Golubinka Spring Catchment

Geofluids ◽

10.1155/2018/6424702 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 3

Author(s):

Goran Lončar ◽

Željko Šreng ◽

Damir Bekić ◽

Duška Kunštek

Keyword(s):

Groundwater Level ◽

Sea Water ◽

Karst Aquifer ◽

Seepage Flow ◽

Spring Discharge ◽

Data Set ◽

Groundwater Levels ◽

Matrix Flow ◽

Spring Catchment ◽

The Difference

This paper shows the results of the hydraulic-hydrologic calculations of karst spring discharges and the groundwater level in the aquifer of spring catchment. The calculations were performed for the Golubinka spring in Zadar area for the 4-year period. The chosen approach was a model using relatively scarce data set, including limnigraphic data on the difference between the sea water level and the freshwater level on the spring itself and the precipitation data from the meteorological station Zadar. The determination of discharge hydrographs, based on inherent assumptions and available data, yields the proportionality coefficients between the discharge and the limnigraphic data on the Golubinka spring itself. Further, based on the discharge hydrograph, groundwater level oscillation was determined. The resulting spring discharge hydrograph and groundwater levels, along with the assumption of Golubinka spring as the only spring on the catchment, were used in creating turbulent seepage model of the fractured system within the aquifer, which evidently extends along the axis of the Golubinka spring catchment. The model yielded suitable turbulent seepage coefficients of the fracture system. By using the numerical model KarstMod it was estimated that, on average, concentrated fracture flow drains around 85% of infiltrated volumes and the remaining 15% accounts for diffuse matrix flow. Finally, the Modflow model was used in order to get insight into the flow field and the distribution of equipotentials in the aquifer of the Golubinka catchment.

Download Full-text

Investigation of the hydrogeochemical processes and regional evolution of karst groundwater in Liulin Spring catchment, northern China

Environmental Earth Sciences ◽

10.1007/s12665-020-09280-0 ◽

2021 ◽

Vol 80 (1) ◽

Author(s):

Qi-bo Huang ◽

Xiao-qun Qin ◽

Rui-rui Cheng ◽

Teng-fang Li ◽

Hua-ying Wu ◽

...

Keyword(s):

Northern China ◽

Hydrogeochemical Processes ◽

Karst Groundwater ◽

Spring Catchment

Download Full-text

Utilizing Precipitation and Spring Discharge Data to Identify Groundwater Quick Flow Belts in a Karst Spring Catchment

Journal of Hydrometeorology ◽

10.1175/jhm-d-18-0261.1 ◽

2019 ◽

Vol 20 (10) ◽

pp. 2057-2068 ◽

Cited By ~ 2

Author(s):

Lixing An ◽

Xingyuan Ren ◽

Yonghong Hao ◽

Tian-Chyi Jim Yeh ◽

Baoju Zhang

Keyword(s):

Response Time ◽

Groundwater Resources ◽

High Energy ◽

Spring Discharge ◽

Karst Groundwater ◽

Karst Spring ◽

Conservation Area ◽

Discharge Data ◽

Spring Catchment ◽

Hydraulic Response

Abstract In karst terrains, fractures and conduits often occur in clusters, forming groundwater quick flow belts, which are the major passages of groundwater and solute transport. We propose a cost-effective method that utilizes precipitation and spring discharge data to identify groundwater quick flow belts by the multitaper method (MTM). In this paper, hydrological processes were regarded as the transformation of precipitation signals to spring discharge signals in a karst spring catchment. During the processes, karst aquifers played the role of signal filters. Only those signals with high energy could penetrate through aquifers and reflect in the spring discharge, while other weak signals were filtered out or altered by aquifers. Hence, MTM was applied to detect and reconstruct the signals that penetrate through aquifers. Subsequently, by analyzing the reconstructed signals of precipitation with those of spring discharge, we acquired the hydraulic response time and identified the quick flow belts. Finally, the methods were applied to the Niangziguan Spring (NS) catchment, China. Results showed that the hydraulic response time of the spring discharge to precipitation was 3 months at Pingding County; 4 months at Yuxian County, Yangquan City, Xiyang County, and Heshun County; and 27 months at Shouyang County and Zouquan County. These results suggested that Pingding County is located at a groundwater quick flow belt, which is a major passage of groundwater and contaminants, in the NS catchment. This is important since Pingding County is not only the key development area of karst groundwater but also the key conservation area for sustainable development of karst groundwater resources in NS catchment.

Download Full-text

Prediction of Karst Groundwater Level Based on R-Language - Taking Jinci Spring Basin as an Example

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.730.230 ◽

2015 ◽

Vol 730 ◽

pp. 230-234 ◽

Cited By ~ 1

Author(s):

Hui Jun Shi ◽

Xin Qi ◽

Hua Jin

Keyword(s):

Groundwater Level ◽

Multiple Linear Regression Model ◽

Karst Groundwater ◽

Groundwater Levels ◽

R Language ◽

Study Results ◽

Groundwater Systems ◽

Annual Time ◽

Groundwater Level Prediction

Considering the complexity and randomness of the karst groundwater systems, a multiple linear regression model was developed for groundwater-level prediction based on the R language. The Jinci Spring basin was taken as a case study. Results show that the established model can predict the dynamics of the karst groundwater levels with high accuracy at an annual time scale, which can be served for macroscopic groundwater management.

Download Full-text

Electron-Mirror Microscopic Aspects of Ferroelectric Domains of BaTiO3 And Ca2Sr (C2H5CO2)6

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100069387 ◽

1970 ◽

Vol 28 ◽

pp. 478-479

Author(s):

Teruo Someya ◽

Jinzo Kobayashi

Keyword(s):

Surface Layer ◽

Electric Fields ◽

Quantitative Study ◽

Recent Progress ◽

Ferroelectric Domain ◽

Resolving Power ◽

Surface Pattern ◽

Crystal Surfaces ◽

One Dimensional ◽

Ferroelectric Domains

Recent progress in the electron-mirror microscopy (EMM), e.g., an improvement of its resolving power together with an increase of the magnification makes it useful for investigating the ferroelectric domain physics. English has recently observed the domain texture in the surface layer of BaTiO3. The present authors ) have developed a theory by which one can evaluate small one-dimensional electric fields and/or topographic step heights in the crystal surfaces from their EMM pictures. This theory was applied to a quantitative study of the surface pattern of BaTiO3).

Download Full-text