APPLICATION OF PANEL DATA MODEL IN PREDICTING GROUNDWATER LEVEL

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IZADI A.; DAVARI K.; ALIZADEH A.; GHAHREMAN B.

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Journal: Iranian Journal of Irrigation and Drainage Year:2008 | Volume:2 | Issue:2 Page(s): 133-144

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Title

APPLICATION OF PANEL DATA MODEL IN PREDICTING GROUNDWATER LEVEL

Author(s)

IZADI A. | DAVARI K. | ALIZADEH A. | GHAHREMAN B. | Issue Writer Certificate

Keywords

PANEL DATAQ3

GROUNDWATERQ1

WARD CLUSTERINGQ3

NEYSHABOUR PLAINQ2

Abstract

Groundwater resources are considered as one of the significant and economical water resources. Comprehensive recognition and proper utilization of this valuable resource especially in arid and semiarid areas has an important effect on sustainable development of social and economic activities. It is necessary to predict GROUNDWATER level fluctuations for a better understanding of the aquifer behavior in these areas. This research was aimed at prediction of GROUNDWATER level in NEYSHABOUR PLAIN using "PANEL DATA" model. The plain was selected due to presence of over 50 observation wells, mostly with more than 12 years of record. Inasmuch as "PANEL DATA" model considers historic data for several observation wells, it was able to predict GROUNDWATER levels in different observation wells simultaneously. At the first step, the available observation wells in the plain were clustered with "Ward" method which ended-up in six areal zones. Then, for each cluster, an observation well was selected as its representative, and for each zone, values of independent variables (precipitation, temperature, and initial water table) were estimated by "Distance Inverse method". Finally, the performances of different PANEL DATA regression models such as PANEL DATA with Common effects, Fixed effects and Random effects, for GROUNDWATER level prediction were investigated. The results shows Common effects model has the best results for prediction of GROUNDWATER level. The performance indicators (R2: 0.99 and RMSE=0.05) reveals the effectiveness of this method. In addition, these results were compared with the results of an ANN model, which showed relevant superiority of "PANEL DATA" over ANN.

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APA: Copy

IZADI, A., DAVARI, K., ALIZADEH, A., & GHAHREMAN, B.. (2008). APPLICATION OF PANEL DATA MODEL IN PREDICTING GROUNDWATER LEVEL. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 2(2), 133-144. SID. https://sid.ir/paper/131444/en

Vancouver: Copy

IZADI A., DAVARI K., ALIZADEH A., GHAHREMAN B.. APPLICATION OF PANEL DATA MODEL IN PREDICTING GROUNDWATER LEVEL. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2008;2(2):133-144. Available from: https://sid.ir/paper/131444/en

IEEE: Copy

A. IZADI, K. DAVARI, A. ALIZADEH, and B. GHAHREMAN, “APPLICATION OF PANEL DATA MODEL IN PREDICTING GROUNDWATER LEVEL,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 2, no. 2, pp. 133–144, 2008, [Online]. Available: https://sid.ir/paper/131444/en

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