scholarly journals A Correlation Analysis Tool between Jeju Island Groundwater Level and Rainfall

2012 ◽  
Vol 12 ◽  
pp. 878-884 ◽  
Author(s):  
JinLong Piao ◽  
Seong Baeg Kim
2011 ◽  
Vol 16 (2) ◽  
pp. 41-51 ◽  
Author(s):  
Soo-Hyoung Lee ◽  
Se-Yeong Hamm ◽  
Kyoo-Chul Ha ◽  
Yong-Cheol Kim ◽  
Beom-Keun Cheong ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2869
Author(s):  
Xiaohui Pan ◽  
Weishi Wang ◽  
Tie Liu ◽  
Yue Huang ◽  
Philippe De Maeyer ◽  
...  

In the past few decades, the shrinkage of the Aral Sea is one of the biggest ecological catastrophes caused by human activity. To quantify the joint impact of both human activities and climate change on groundwater, the spatiotemporal groundwater dynamic characteristics in the Amu Darya Delta of the Aral Sea from 1999 to 2017 were analyzed, using the groundwater level, climate conditions, remote sensing data, and irrigation information. Statistics analysis was adopted to analyze the trend of groundwater variation, including intensity, periodicity, spatial structure, while the Pearson correlation analysis and principal component analysis (PCA) were used to quantify the impact of climate change and human activities on the variabilities of the groundwater level. Results reveal that the local groundwater dynamic has varied considerably. From 1999 to 2002, the groundwater level dropped from −189 cm to −350 cm. Until 2017, the groundwater level rose back to −211 cm with fluctuation. Seasonally, the fluctuation period of groundwater level and irrigation water was similar, both were about 18 months. Spatially, the groundwater level kept stable within the irrigation area and bare land but fluctuated drastically around the irrigation area. The Pearson correlation analysis reveals that the dynamic of the groundwater level is closely related to irrigation activity within the irrigation area (Nukus: −0.583), while for the place adjacent to the Aral Sea, the groundwater level is closely related to the Large Aral Sea water level (Muynak: 0.355). The results of PCA showed that the cumulative contribution rate of the first three components exceeds 85%. The study reveals that human activities have a great impact on groundwater, effective management, and the development of water resources in arid areas is an essential prerequisite for ecological protection.


2012 ◽  
Vol 396 (1) ◽  
pp. 012030
Author(s):  
Qiming Lu ◽  
Kurt A Biery ◽  
James B Kowalkowski

2017 ◽  
Vol 8 (2) ◽  
pp. 1783-1791 ◽  
Author(s):  
Soo-Hyoung Lee ◽  
Jae-Yeol Cheong ◽  
Yoon-Suk Park ◽  
Kyoochul Ha ◽  
YongCheol Kim ◽  
...  

2014 ◽  
Vol 23 (4) ◽  
pp. 637-647 ◽  
Author(s):  
Sung-Ho Song ◽  
Byung-Sun Lee ◽  
Kwang-Jun Choi ◽  
Jin-Sung Kim ◽  
Gi-Pyo Kim

2017 ◽  
Vol 2 (2) ◽  
pp. 195
Author(s):  
Ari Wibowo

Based on researcher’s observation on PAI undergraduate student’s thesis that used quatitative research method, there are many statistical calculation mistakes. Those mistakes happened in many students’thesis. Students’ habit who prefer copying the stage of statistics computation on he previous thesis than studying statistics book. In this research, it is mapped statistics mistakes in PAI students’ thesis using quantitative research in XXV until XXX graduation period. In six recent graduation period, PAI FITK IAIN Surakarta have passed 607 students.  The result of this research is that generally there are two mistakes in statistics, as follows. One, the lack of understanding on statistics concept covering: (a) mistake in making frequency distribution as part of the stage of describing data, (b) mistake in processing the result of Chi Quadrate as normality test, (c) unit analysis that is used up till now is not sufficient, (d) mistake in choosing statistics analysis tool, (e) the existence of outlier and influential observation in data impact significnstly the result of correlation analysis and linie regression analysis. Two, the urgency of using calculation tool in the form of statistics program consisting of mistake in writing statistics formula and mistake in calculation process.Keywords: Quantitative Research, Thesis 


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