scholarly journals Water level collapse effect of deep well in mining area

2021 ◽  
Vol 233 ◽  
pp. 03037
Author(s):  
LIN Mei ◽  
DONG Xiaona
Keyword(s):  
Water Level ◽  
Coal Mine ◽  
Earth Tide ◽  
Mining Area ◽  
Observation Data ◽  
Aquifer System ◽  
Deep Well ◽  
Original Curve ◽  
Level Data ◽  
Water Level Data

The use of Zaozhuang of Shandong province coal mine area is tao chong lu 15 Well and meteorological observation data, the three elements of observation Wells with tao chong effect comparing the dynamic characteristics of the mines. It is difficult to determine whether the stress state of the aquifer system in which the well was observed before the collapse has changed because of the water level in the deep well of Lu15 well on the original curve. Nakai fitting model is adopted to calculate the earth tide response amplitude factor ratio based on the water level data of Lu15 well, and the possibility of collapse caused by stress change is discussed in combination with non-natural seismic events in Taozhuang Coal mine

Separation of Wave Setup from Water Level Data of SandyDuck ’97 Experiment

2012 ◽  
Vol 256-259 ◽  
pp. 1942-1945
Author(s):  
Shi Chao Liu ◽  
Li Huang
Keyword(s):  
Water Level ◽  
Observation Data ◽  
Residual Water ◽  
Total Water ◽  
Level Data ◽  
Water Level Data ◽  
Tide Level ◽  
Data Separation ◽  
Wave Induced ◽  
Total Water Level

The observation wave induced setup can be separated from observed total water level which combines tide level, weather induced setup and wave induced setup. SandyDuck ’97 experiment provides lots of observation data. Separation of tide level form preliminary data is using the nearest tide station’s predicted tide. The weather induced setup is given by numerical model which includes the effects of air pressure and wind blows. The residual water level, wave induced setup, seems reasonable and available, and the time series trend match with wave high trend at same location.

scholarly journals MODEL SEDERHANA 2-DIMENSI ARAH PERGERAKAN SEDIMEN DI SUNGAI PORONG JAWA TIMUR

2016 ◽  
Vol 9 (3) ◽  
pp. 175
Author(s):  
Huda Bachtiar ◽  
Franto Novico ◽  
Fitri Riandini
Keyword(s):  
Numerical Model ◽  
Water Level ◽  
River Mouth ◽  
Sediment Concentration ◽  
Dry Season ◽  
Observation Data ◽  
Wet Season ◽  
Level Data ◽  
Water Level Data ◽  
Mike 21

Model numerik MIKE 21 modul transport sedimen digunakan untuk mengetahui respon pergerakan lumpur Sidoarjo pada saat musim hujan dan musim kemarau dan pengaruh tanggul yang berada di muara Sungai Porong. Data yang digunakan adalah pasang surut muka air laut, kedalaman air, debit sungai, arus dan konsentrasi sedimen. Simulasi dilakukan dengan membuat dua skenario, yaitu pada saat kondisi musim hujan dan pada saat musim kemarau. Hasil simulasi model hidrodinamika di verifikasi dengan data lapangan untuk mendapatkan nilai korelasi. Verifikasi meliputi data muka air dan kecepatan arus baik arah –x maupun –y. Berdasarkan hasil verifikasi didapatkan nilai korelasi muka air sebesar 0.8641 sementara arus bernilai 0.1493 untuk sumbu –x dan 0.1917 untuk sumbu –y. Selanjutnya hasil simulasi model menunjukkan konsentrasi sedimen pada tanggal 27 November 2007 merupakan puncak tertinggi dengan nilai 3.2x10-3 kg/m3 untuk musim hujan sementara untuk musim kemarau konsentrasi sedimen bernilai 0.0x10-3 kg/m3. Kata kunci : Model Numerik, Pergerakan Lumpur, Sungai Porong. Numerical model of MIKE 21 sediment transport module was applied to recognize the response of mud flow respective in rainy and dry season and also to get information of dike effect at the river mouth. Data that used in this simulation was tide, water depth, river discharge, current and sediment concentration. The simulations were created for two scenarios, therefore dry season and wet season. The result of the simulation model verified with observation data to see the correlation value. The verification are covering water level data and current magnitude of –x and –y axis. Based on the verification result, the correlation value of water level has a value 0.8641 meanwhile for the current the correlation value have magnitude 0.1493 of x-axis and 0.1917of y-axis. Moreover, the maximum value of sediment concentration could be seen at November 27th 2007 with 3.2x10-3 kg/m3 at the wet season and 0.0x10-3 kg/m3 for dry season. Keywords: Numerical Model, Mud Movement, Porong River

Presentation and assessment of tides and water level records for geophysical investigations

1970 ◽  
Vol 7 (2) ◽  
pp. 607-625 ◽  
Author(s):  
G. C. Dohler ◽  
L. F. Ku
Keyword(s):  
Water Level ◽  
Power Spectra ◽  
Rate Of Change ◽  
Regression Technique ◽  
Level Data ◽  
Water Level Data ◽  
Geophysical Investigations ◽  
Water Level Variations ◽  
Mean Water Level ◽  
Change In Mean

The methods and problems involved in collecting water level data are explained, and the processing and formats of the data are illustrated. The trend of the change in mean water level is plotted and the corresponding rate of change is estimated by the regression technique. The power spectra of the water level variations are plotted to illustrate these variations in terms of frequencies.

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