Understanding groundwater table using a statistical model
| Autor: | De-feng Pan, Yu-bai Wu, Shuang-en Yu, Shao-feng Yan, Jia-gen Dong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Hydrology
geography lcsh:TC401-506 geography.geographical_feature_category Water table Coastal plain 0208 environmental biotechnology Ocean Engineering Regression analysis Statistical model lcsh:River lake and water-supply engineering (General) 02 engineering and technology 010501 environmental sciences 01 natural sciences 020801 environmental engineering Trend analysis Linear regression Environmental science Precipitation Stage (hydrology) 0105 earth and related environmental sciences Civil and Structural Engineering |
| Zdroj: | Water Science and Engineering, Vol 11, Iss 1, Pp 1-7 (2018) |
| ISSN: | 1674-2370 |
| Popis: | In this study, a statistical model was established to estimate the groundwater table using precipitation, evaporation, the river stage of the Liangduo River, and the tide level of the Yellow Sea, as well as to predict the groundwater table with easily measurable climate data in a coastal plain in eastern China. To achieve these objectives, groundwater table data from twelve wells in a farmland covering an area of 50 m × 150 m were measured over a 12-month period in 2013 in Dongtai City, Jiangsu Province. Trend analysis and correlation analysis were conducted to study the patterns of changes in the groundwater table. In addition, a linear regression model was established and regression analysis was conducted to understand the relationships between precipitation, evaporation, river stage, tide level, and groundwater table. The results are as follows: (1) The groundwater table was strongly affected by climate factors (e.g., precipitation and evaporation), and river stage was also a significant factor affecting the groundwater table in the study area (p |
| Databáze: | OpenAIRE |
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