Your search found 9 records
1 Sen, Z.. 1991. A nonlinear equation for groundwater entry into well screens - Comment. Journal of Hydrology, 123(1-2):201-206.
(Location: IWMI-HQ Call no: PER Record No: H07579)
2 Sen, Z.; Al-Somayien, M. S. 1991. Some simple management criteria for confined saq aquifer in Tabuk Region, Saudi Arabia. Water Resources Management, 5(2):161-179.
(Location: IWMI-HQ Call no: PER Record No: H09494)
3 Sen, Z.; Sabtan, A. A. 1993. Straight-line intercept method in aquifer volume calculations. Water Resources Journal, 178:70-74.
(Location: IWMI-HQ Call no: PER Record No: H014046)
Volume calculations in various aspects of groundwater resources evaluation play a significant role. However, these calculations are made by different classical techniques, each of which employs the finite element concept. A common requirement in these techniques is the adaptation of a basic height- like contour interval. The accuracy of the estimated volume is influenced by the subjectivity on the part of the person doing the contouring on a specified contour interval. It is observed that there is a linear relationship between the contour interval and the estimated volume. The basic idea of this paper is to use a simple drawing procedure of a few points of different contour intervals versus the resulting volumes. A regression line is fitted through the scatter of these points. The best volume estimate corresponds to zero contour interval, i.e., the intercept of the straight line with the volume axis. This technique provides a common basis in that different researchers arrive at exactly the same conclusion for a given data set. The proposed method is verified by calculating the reservoir volume of a laboratory dam model with the known reservoir volume. It was found that the estimated volume was off by only 5 per cent of the measured one. Further applications of the method are given for some observed data from the Floridan aquifer and a Black Hills dam reservoir.
4 Sen, Z.; Kadioglu, M. 2000. Simple daily dynamic adaptive operation rules for water resources optimization. Water Resources Management, 14(5):349-368.
Reservoir operation ; Operating policies ; Optimization ; Water supply ; Drought / Turkey / Istanbul
(Location: IWMI-HQ Call no: PER Record No: H028281)
5 Sen, Z.; Eljadid, A. G. 2000. Automated average areal rainfall calculation in Libya. Water Resources Management, 14(5):405-416.
(Location: IWMI-HQ Call no: PER Record No: H028283)
6 Sirdas, S.; Sen, Z.. 2001. Application of the standardized precipitation index (SPI) to the Marmara region, Turkey. In Mariño, M. A.; Simonovic, S. P. (Eds.), Integrated water resources management. Wallingford, UK: IAHS. pp.291-296.
(Location: IWMI-HQ Call no: 333.91 G000 MAR Record No: H029924)
7 Sen, Z.. 2002. Multi-rectangular diagram concept in groundwater quality assessment and application in Pakistan. Water International, 27(2):271-278.
(Location: IWMI-HQ Call no: PER Record No: H030804)
8 Sen, Z.; Saud, A. A.; Altunkaynak, A.; Özger, M. 2003. Increasing water supply by mixing of fresh and saline ground waters. Journal of the American Water Resources Association, 39(5):1209-1215.
(Location: IWMI-HQ Call no: PER Record No: H034882)
9 Sen, Z.; Boken, V. K. 2005. Techniques to predict agricultural droughts. In Boken, V. K.; Cracknell, A. P.; Heathcote, R. L. (Eds.), Monitoring and predicting agricultural drought: A global study. New York, NY, USA: OUP. pp.40-54.
Drought ; Monitoring ; Forecasting ; Climate change ; Time series ; Analysis ; Stochastic process ; Models
(Location: IWMI-HQ Call no: 632.12 G000 BOK Record No: H036761)
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