Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia

B. Vaheddoost; H. Aksoy; H. Abghari; S. Zare Naghadeh

doi:10.1061/9780784479322.006

Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia

B. Vaheddoost, H. Aksoy, H. Abghari, S. Zare Naghadeh

Department of Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Lake Urmia is located in the North West of Iran. The hyper saline lake is drying up very fast and more than seventy percent of the water in the lake has vanished in recent years. In this research, the West and South banks of the lake's basin which is known as the West Azerbaijan province of Iran are studied. During the period from March 2001 to August 2011, six pilot stations for ground water near the lake shore were monitored. Correlation, cross-correlation, distribution, and regression analysis were done for lake and pilot stations. Several decision trees were fitted to the model and the most proper one was selected to test the hypothesis. Results show that the North West of the basin is the most interactive part of the ground water and the fitted decision tree model with randomly selected data is performing well.

Original language	English
Title of host publication	Watershed Management 2015
Subtitle of host publication	Power of the Watershed - Proceedings of the Watershed Management Symposium 2015
Editors	Glenn E. Moglen
Publisher	American Society of Civil Engineers (ASCE)
Pages	62-71
Number of pages	10
ISBN (Electronic)	9780784479322
DOIs	https://doi.org/10.1061/9780784479322.006
Publication status	Published - 2015
Event	11th Watershed Management Symposium 2015: Power of the Watershed - Reston, United States Duration: 5 Aug 2015 → 7 Aug 2015

Publication series

Name	Proceedings of the Watershed Management Symposium
Volume	2015-January

Conference

Conference	11th Watershed Management Symposium 2015: Power of the Watershed
Country/Territory	United States
City	Reston
Period	5/08/15 → 7/08/15

Bibliographical note

Publisher Copyright:
© 2015 ASCE.

Keywords

Decision tree
Ground water
Hyper-saline lake
Lake Urmia

Access to Document

10.1061/9780784479322.006

Cite this

Vaheddoost, B., Aksoy, H., Abghari, H., & Naghadeh, S. Z. (2015). Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia. In G. E. Moglen (Ed.), Watershed Management 2015: Power of the Watershed - Proceedings of the Watershed Management Symposium 2015 (pp. 62-71). (Proceedings of the Watershed Management Symposium; Vol. 2015-January). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784479322.006

Vaheddoost, B. ; Aksoy, H. ; Abghari, H. et al. / Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia. Watershed Management 2015: Power of the Watershed - Proceedings of the Watershed Management Symposium 2015. editor / Glenn E. Moglen. American Society of Civil Engineers (ASCE), 2015. pp. 62-71 (Proceedings of the Watershed Management Symposium).

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title = "Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia",

abstract = "Lake Urmia is located in the North West of Iran. The hyper saline lake is drying up very fast and more than seventy percent of the water in the lake has vanished in recent years. In this research, the West and South banks of the lake's basin which is known as the West Azerbaijan province of Iran are studied. During the period from March 2001 to August 2011, six pilot stations for ground water near the lake shore were monitored. Correlation, cross-correlation, distribution, and regression analysis were done for lake and pilot stations. Several decision trees were fitted to the model and the most proper one was selected to test the hypothesis. Results show that the North West of the basin is the most interactive part of the ground water and the fitted decision tree model with randomly selected data is performing well.",

keywords = "Decision tree, Ground water, Hyper-saline lake, Lake Urmia",

author = "B. Vaheddoost and H. Aksoy and H. Abghari and Naghadeh, {S. Zare}",

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Vaheddoost, B, Aksoy, H, Abghari, H & Naghadeh, SZ 2015, Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia. in GE Moglen (ed.), Watershed Management 2015: Power of the Watershed - Proceedings of the Watershed Management Symposium 2015. Proceedings of the Watershed Management Symposium, vol. 2015-January, American Society of Civil Engineers (ASCE), pp. 62-71, 11th Watershed Management Symposium 2015: Power of the Watershed, Reston, United States, 5/08/15. https://doi.org/10.1061/9780784479322.006

Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia. / Vaheddoost, B.; Aksoy, H.; Abghari, H. et al.
Watershed Management 2015: Power of the Watershed - Proceedings of the Watershed Management Symposium 2015. ed. / Glenn E. Moglen. American Society of Civil Engineers (ASCE), 2015. p. 62-71 (Proceedings of the Watershed Management Symposium; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Aksoy, H.

AU - Abghari, H.

AU - Naghadeh, S. Zare

PY - 2015

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N2 - Lake Urmia is located in the North West of Iran. The hyper saline lake is drying up very fast and more than seventy percent of the water in the lake has vanished in recent years. In this research, the West and South banks of the lake's basin which is known as the West Azerbaijan province of Iran are studied. During the period from March 2001 to August 2011, six pilot stations for ground water near the lake shore were monitored. Correlation, cross-correlation, distribution, and regression analysis were done for lake and pilot stations. Several decision trees were fitted to the model and the most proper one was selected to test the hypothesis. Results show that the North West of the basin is the most interactive part of the ground water and the fitted decision tree model with randomly selected data is performing well.

AB - Lake Urmia is located in the North West of Iran. The hyper saline lake is drying up very fast and more than seventy percent of the water in the lake has vanished in recent years. In this research, the West and South banks of the lake's basin which is known as the West Azerbaijan province of Iran are studied. During the period from March 2001 to August 2011, six pilot stations for ground water near the lake shore were monitored. Correlation, cross-correlation, distribution, and regression analysis were done for lake and pilot stations. Several decision trees were fitted to the model and the most proper one was selected to test the hypothesis. Results show that the North West of the basin is the most interactive part of the ground water and the fitted decision tree model with randomly selected data is performing well.

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Vaheddoost B, Aksoy H, Abghari H, Naghadeh SZ. Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia. In Moglen GE, editor, Watershed Management 2015: Power of the Watershed - Proceedings of the Watershed Management Symposium 2015. American Society of Civil Engineers (ASCE). 2015. p. 62-71. (Proceedings of the Watershed Management Symposium). doi: 10.1061/9780784479322.006

Decision Tree for Measuring the Interaction of Hyper-Saline Lake and Coastal Aquifer in Lake Urmia

Abstract

Publication series

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Bibliographical note

Keywords

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