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Quantitative Assessment of Hydrometry Station Density in the Province of Kermanshah Using the Entropy and Zoning Method in the GIS | ||
| پژوهش های آبخیزداری | ||
| Article 2, Volume 34, Issue 3 - Serial Number 132, September 2021, Pages 2-18 PDF (1.14 M) | ||
| Document Type: Research | ||
| DOI: 10.22092/wmej.2021.352857.1380 | ||
| Authors | ||
| Mohammad Johari Pour1; Ali Bafkar* 2; Maryam Hafezparast Mavadat3 | ||
| 1M.Sc. in Water Resources Management | ||
| 2Assistant Professor, Water Engineering Department, Faculty of Agricultural Science and Engineering, Razi University | ||
| 3Assistant Professor, Department of Water Engineering, Faculty of Agricultural Science and Engineering, Razi University | ||
| Abstract | ||
| Evaluating the efficiency of water resources monitoring systems and trying to improve the status of various components of these systems, such as modifying the frequency of quantitative variable sampling and relocating stations, is of particular importance. The main reason for the importance of this issue is the significant monthly cost of maintaining these systems; therefore, reducing the redundant and excess information in such systems may have a significant effect on reducing costs without decreasing the value and accuracy of the resulting information. However, if the number of stations is not optimal, the data of sensitive points may be missed. In the discrete entropy theory was used to investigate the accuracy of station information and their density in the region, and to quantitatively evaluate the network of hydrometry stations in the province of Kermanshah. Fourteen stations with a common statistical period of 30 years was evaluated. The results indicate the presence of three critical stations of Doabmarg, Shah Gozar and Hyderabad in the network, which their continued functioning need to be reconsidered. The Pol-e-Chehr, Pirsalman and Ghorbaghistan are the three most important stations in the basin that should remain active in the network, as they have the highest ranking among other stations. Doabmarg Station has the worst condition in the monitoring network and its condition needs to be carefully reviewed and revised. The indexes S (i) R (i) have almost the same values in most stations; each station tries to collect information from other stations as much as it contributes data to other stations. | ||
| Keywords | ||
| Evaluation; entropy theory; network of hydrometriy station | ||
| References | ||
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