Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination
An accurate and timely forecast of medium and long-term runoff forecast is of great significance to reservoir safety and water resources scheduling. In order to improve the long-term runoff forecast accuracy of the reservoir, a long-term runoff forecasting model was constructed based on the principl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201824602028 |
| _version_ | 1818726059402592256 |
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| author | Cheng Zhongliang Liu Yong Gao Cheng Hu Jian Cui Tingting |
| author_facet | Cheng Zhongliang Liu Yong Gao Cheng Hu Jian Cui Tingting |
| author_sort | Cheng Zhongliang |
| collection | DOAJ |
| description | An accurate and timely forecast of medium and long-term runoff forecast is of great significance to reservoir safety and water resources scheduling. In order to improve the long-term runoff forecast accuracy of the reservoir, a long-term runoff forecasting model was constructed based on the principle of Mahalanobis distance discrimination analysis. The data sequence from 1952 to 2008 of Danjiangkou reservoir was selected, the correlation coefficient method and AIC criterion were used to sift out the highly correlated and independent factors, a long-term runoff forecasting model was constructed based on the principle of Mahalanobis distance discrimination analysis. The result showed that under the permutation error of 10%，the pass rate during the simulation period was 93.9%, and the pass rate during the inspection period was 87.5%. The research results serve as a reference for the operation of Danjiangkou reservoir. |
| first_indexed | 2024-12-17T21:52:11Z |
| format | Article |
| id | doaj.art-37fa8ba3f2984163a299db6c72b828a6 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-17T21:52:11Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-37fa8ba3f2984163a299db6c72b828a62022-12-21T21:31:15ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012460202810.1051/matecconf/201824602028matecconf_iswso2018_02028Long-term runoff prediction for reservoir based on Mahalanobis distance discriminationCheng Zhongliang0Liu YongGao Cheng1Hu Jian2Cui Tingting3College of Hydrology and Water Resources, Hohai UniversityCollege of Hydrology and Water Resources, Hohai UniversityKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research InstituteAn accurate and timely forecast of medium and long-term runoff forecast is of great significance to reservoir safety and water resources scheduling. In order to improve the long-term runoff forecast accuracy of the reservoir, a long-term runoff forecasting model was constructed based on the principle of Mahalanobis distance discrimination analysis. The data sequence from 1952 to 2008 of Danjiangkou reservoir was selected, the correlation coefficient method and AIC criterion were used to sift out the highly correlated and independent factors, a long-term runoff forecasting model was constructed based on the principle of Mahalanobis distance discrimination analysis. The result showed that under the permutation error of 10%，the pass rate during the simulation period was 93.9%, and the pass rate during the inspection period was 87.5%. The research results serve as a reference for the operation of Danjiangkou reservoir.https://doi.org/10.1051/matecconf/201824602028 |
| spellingShingle | Cheng Zhongliang Liu Yong Gao Cheng Hu Jian Cui Tingting Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination MATEC Web of Conferences |
| title | Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination |
| title_full | Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination |
| title_fullStr | Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination |
| title_full_unstemmed | Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination |
| title_short | Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination |
| title_sort | long term runoff prediction for reservoir based on mahalanobis distance discrimination |
| url | https://doi.org/10.1051/matecconf/201824602028 |
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