Distributed Groundwater Level Remote Centralized Monitoring and Warning System

2012 ◽  
Vol 546-547 ◽  
pp. 1130-1135
Author(s):  
Zhi Wei Zhao
Keyword(s):  
Groundwater Level ◽  
Groundwater Resources ◽  
Warning System ◽  
Scientific Basis ◽  
Sustainable Utilization ◽  
Transmission Network ◽  
Centralized Management ◽  
Monitoring Center ◽  
Monitoring Software ◽  
Level Monitoring

The overexploitation of groundwater has caused many serious hydrological geological disasters in the world wide. In order to solve this subject, a groundwater level monitoring system which adopts C/S architecture design and is composed of a monitoring center, transmission network and monitoring terminals is proposed. The monitoring center is made up of a computer with professional monitoring software. The monitoring terminals are arranged at different area as required, and access Internet to transmit data to remote monitoring center server through GPRS net work. The monitoring center server is responsible for receiving, processing, storage, display and analysis the data about groundwater from monitoring terminals. The experimental results show that the system is stable, high precision, stability and timeliness of features, and realizes the automatic collection and centralized management of groundwater monitoring data that provides a reliable scientific basis for sustainable utilization development of groundwater resources and geological hazards forecasting.

Evaluation of Groundwater Resources of an Alluvial Pluvial Fan in Hebei Province, China Using Hydrological Budget Method

2013 ◽  
Vol 864-867 ◽  
pp. 2263-2267
Author(s):  
Li Li Zhang ◽  
Shu Qun She ◽  
Yun Wang ◽  
Shou Qiang Liu ◽  
Yi Fan Zeng
Keyword(s):  
Groundwater Level ◽  
Irrigation Water ◽  
Groundwater Resources ◽  
Groundwater Discharge ◽  
Sustainable Use ◽  
Hebei Province ◽  
Ecological Environment ◽  
Sustainable Utilization ◽  
Water Recharge ◽  
Infiltration Recharge

Estimating groundwater recharge and groundwater discharge are key components in determining the sustainable utilization of groundwater resources. Infiltration recharge by rainfall and irrigation water recharge are the main supply of groundwater in the study area. In this paper, based on the hydrological budget method, we analyzed, the utilization of groundwater resources, calculated, the recharge and excretion of groundwater in the study area from 1995 to 2012, and finally, pointed out the groundwater level is mainly affected by the irrigation water. Therefore, readjustment of the structure of plant is to ensure the ecological environment, utilize rationally the groundwater resources and achieve the goal of sustainable use of groundwater resources.

scholarly journals Groundwater management zones and their groundwater water level thresholds in the Tongliao plain

2021 ◽  
Author(s):  
Lingjia Yan ◽  
Xin He ◽  
Chuiyu Lu ◽  
Qingyan Sun ◽  
Chu Wu
Keyword(s):  
Groundwater Management ◽  
Groundwater Level ◽  
Local Development ◽  
Groundwater Resources ◽  
Scientific Basis ◽  
Groundwater Depth ◽  
Management Zones ◽  
Production Area ◽  
Administrative Units ◽  
Over Exploitation

Abstract The West Liao River (WLR) basin located in Inner Mongolia, is an important food production area in China. In recent years, the problem of groundwater over exploitation has become increasingly prominent in the basin due to the expansion of agriculture. This paper developed adaptive management initiatives of the local groundwater resources using Tongliao, located in the east part of the WLR basin, as a case study. Groundwater management zones were divided based on hydrogeology, precipitation, land use, the groundwater over exploitation areas, groundwater depth, and the administrative units (Banners/ Counties/ Districts). The Tongliao basin was divided into 21 management zones. Subsequently, assessment rules for determining groundwater level thresholds in each groundwater management zone were developed based on groundwater observation conditions and the current groundwater depth. Based on the assessment rules, in 2020 the management threshold of groundwater level for each zone were determined. The results provided a scientific basis for the ‘Water Availability Based Local Development Initiative’ in the Tongliao plain.

scholarly journals Seismically induced changes in groundwater levels and temperatures following the ML5.8 (ML5.1) Gyeongju earthquake in South Korea

2021 ◽  
Author(s):  
Soo-Hyoung Lee ◽  
Jae Min Lee ◽  
Sang-Ho Moon ◽  
Kyoochul Ha ◽  
Yongcheol Kim ◽  
...  
Keyword(s):  
South Korea ◽  
Groundwater Level ◽  
Seismic Waves ◽  
Groundwater Resources ◽  
Fluid Pressure ◽  
Water Levels ◽  
Aquifer System ◽  
Groundwater Levels ◽  
Monitoring Wells ◽  
Gyeongju Earthquake

AbstractHydrogeological responses to earthquakes such as changes in groundwater level, temperature, and chemistry, have been observed for several decades. This study examines behavior associated with ML 5.8 and ML 5.1 earthquakes that occurred on 12 September 2016 near Gyeongju, a city located on the southeast coast of the Korean peninsula. The ML 5.8 event stands as the largest recorded earthquake in South Korea since the advent of modern recording systems. There was considerable damage associated with the earthquakes and many aftershocks. Records from monitoring wells located about 135 km west of the epicenter displayed various patterns of change in both water level and temperature. There were transient-type, step-like-type (up and down), and persistent-type (rise and fall) changes in water levels. The water temperature changes were of transient, shift-change, and tendency-change types. Transient changes in the groundwater level and temperature were particularly well developed in monitoring wells installed along a major boundary fault that bisected the study area. These changes were interpreted as representing an aquifer system deformed by seismic waves. The various patterns in groundwater level and temperature, therefore, suggested that seismic waves impacted the fractured units through the reactivation of fractures, joints, and microcracks, which resulted from a pulse in fluid pressure. This study points to the value of long-term monitoring efforts, which in this case were able to provide detailed information needed to manage the groundwater resources in areas potentially affected by further earthquakes.

Food Safety Test Information System Design

2012 ◽  
Vol 241-244 ◽  
pp. 2737-2740 ◽  
Author(s):  
Kai Chen ◽  
Hong Tan ◽  
Hong Bo Yang
Keyword(s):  
Food Safety ◽  
Warning System ◽  
Information Management System ◽  
Scientific Basis ◽  
Information System Design ◽  
Knowledge Database ◽  
Test Information ◽  
Safety Test ◽  
System Requirements ◽  
Forecasting And Warning

Informatization of food safety supervision overviews in China and some other countries were studied. With the combination of food safety supervision characteristics in Guizhou and quality system requirements for national food inspection laboratory, information management system for food safety in Guizhou was proposed. A knowledge database for categorizing determination factors of food hazard was established. This system was implemented in the food safety supervision of circulation links in Guizhou for 3 years (2009-2011). It solved problems such as quality control for massive sampling inspections and data analysis. Besides improving work efficiency, it provided scientific basis for decision making of food safety supervision to government as well as data support for food safety forecasting and warning system.

scholarly journals Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India

2020 ◽  
Vol 12 (21) ◽  
pp. 8932
Author(s):  
Kusum Pandey ◽  
Shiv Kumar ◽  
Anurag Malik ◽  
Alban Kuriqi
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Groundwater Level ◽  
Groundwater Resources ◽  
Uttar Pradesh ◽  
Groundwater Table ◽  
Post Monsoon ◽  
Groundwater Table Depth ◽  
Ann Models

Accurate information about groundwater level prediction is crucial for effective planning and management of groundwater resources. In the present study, the Artificial Neural Network (ANN), optimized with a Genetic Algorithm (GA-ANN), was employed for seasonal groundwater table depth (GWTD) prediction in the area between the Ganga and Hindon rivers located in Uttar Pradesh State, India. A total of 18 models for both seasons (nine for the pre-monsoon and nine for the post-monsoon) have been formulated by using groundwater recharge (GWR), groundwater discharge (GWD), and previous groundwater level data from a 21-year period (1994–2014). The hybrid GA-ANN models’ predictive ability was evaluated against the traditional GA models based on statistical indicators and visual inspection. The results appraisal indicates that the hybrid GA-ANN models outperformed the GA models for predicting the seasonal GWTD in the study region. Overall, the hybrid GA-ANN-8 model with an 8-9-1 structure (i.e., 8: inputs, 9: neurons in the hidden layer, and 1: output) was nominated optimal for predicting the GWTD during pre- and post-monsoon seasons. Additionally, it was noted that the maximum number of input variables in the hybrid GA-ANN approach improved the prediction accuracy. In conclusion, the proposed hybrid GA-ANN model’s findings could be readily transferable or implemented in other parts of the world, specifically those with similar geology and hydrogeology conditions for sustainable planning and groundwater resources management.

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.

scholarly journals Assessing the long-term sustainability of the groundwater resources in the Bacchiglione basin (Veneto, Italy) with the Mann–Kendall test: suggestions for higher reliability

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Mara Meggiorin ◽  
Giulia Passadore ◽  
Silvia Bertoldo ◽  
Andrea Sottani ◽  
Andrea Rinaldo
Keyword(s):  
Groundwater Level ◽  
Water Cycle ◽  
Groundwater Resources ◽  
Sustainable Use ◽  
Kendall Test ◽  
Groundwater System ◽  
Aquifer System ◽  
Mann Kendall Test ◽  
Status Assessment

The social, economic, and ecological importance of the aquifer system within the Bacchiglione basin (Veneto, IT) is noteworthy, and there is considerable disagreement among previous studies over its sustainable use. Investigating the long-term quantitative sustainability of the groundwater system, this study presents a statistical methodology that can be applied to similar cases. Using a combination of robust and widely used techniques, we apply the seasonal Mann–Kendall test and the Sen’s slope estimator to the recorded groundwater level timeseries. The analysis is carried out on a large and heterogeneous proprietary dataset gathering hourly groundwater level timeseries at 79 control points, acquired during the period 2005–2019. The test identifies significant decreasing trends for most of the available records, unlike previous studies on the quantitative status of the same resource which covered the domain investigated here for a slightly different period: 2000–2014. The present study questions the reason for such diverging results by focusing on the method’s accuracy. After carrying out a Fourier analysis on the longest available timeseries, for studies of groundwater status assessment this work suggests applying the Mann–Kendall test to timeseries longer than 20 years (because otherwise the analysis would be affected by interannual periodicities of the water cycle). A further analysis of two 60-year-long monthly timeseries between 1960 and 2020 supports the actual sustainable use of the groundwater resource, the past deployment of the groundwater resources notwithstanding. Results thus prove more reliable, and meaningful inferences on the longterm sustainability of the groundwater system are possible.

Groundwater level monitoring using a plastic optical fiber

2016 ◽  
Vol 240 ◽  
pp. 138-144 ◽  
Author(s):  
Esequiel Mesquita ◽  
Tiago Paixão ◽  
Paulo Antunes ◽  
Francisco Coelho ◽  
Pedro Ferreira ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Groundwater Level ◽  
Plastic Optical Fiber ◽  
Level Monitoring

scholarly journals Analysis of Groundwater Level Variations Caused by the Changes in Groundwater Withdrawals Using Long Short-Term Memory Network

Hydrology ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 64 ◽  
Author(s):  
Mun-Ju Shin ◽  
Soo-Hyoung Moon ◽  
Kyung Goo Kang ◽  
Duk-Chul Moon ◽  
Hyuk-Joon Koh
Keyword(s):  
Groundwater Level ◽  
Short Term Memory ◽  
Groundwater Resources ◽  
Prediction Performance ◽  
Groundwater Withdrawal ◽  
Short Term ◽  
Maximum Increase ◽  
Term Memory ◽  
Long Short Term Memory ◽  
The Impact

To properly manage the groundwater resources, it is necessary to analyze the impact of groundwater withdrawal on the groundwater level. In this study, a Long Short-Term Memory (LSTM) network was used to evaluate the groundwater level prediction performance and analyze the impact of the change in the amount of groundwater withdrawal from the pumping wells on the change in the groundwater level in the nearby monitoring wells located in Jeju Island, Korea. The Nash–Sutcliffe efficiency between the observed and simulated groundwater level was over 0.97. Therefore, the groundwater prediction performance of LSTM was remarkably high. If the groundwater level is simulated on the assumption that the future withdrawal amount is reduced by 1/3 of the current groundwater withdrawal, the range of the maximum rise of the groundwater level would be 0.06–0.13 m compared to the current condition. In addition, assuming that no groundwater is taken, the range of the maximum increase in the groundwater level would be 0.11–0.38 m more than the current condition. Therefore, the effect of groundwater withdrawal on the groundwater level in this area was exceedingly small. The method and results can be used to develop new groundwater withdrawal sources for the redistribution of groundwater withdrawals.

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