An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China
Taking the Yarkand River as an example, this paper conducted an integrative approach combining the Durbin-Watson statistic test (DWST), multiple linear regression (MLR), wavelet analysis (WA), coefficient of determination (CD), and Akaike information criterion (AIC) to analyze the climatic-hydrologi...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2013/272715 |
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| author | Jianhua Xu Yiwen Xu Chunan Song |
| author_facet | Jianhua Xu Yiwen Xu Chunan Song |
| author_sort | Jianhua Xu |
| collection | DOAJ |
| description | Taking the Yarkand River as an example, this paper conducted an integrative approach combining the Durbin-Watson statistic test (DWST), multiple linear regression (MLR), wavelet analysis (WA), coefficient of determination (CD), and Akaike information criterion (AIC) to analyze the climatic-hydrological process of inland river, Northwest China from a multitime scale perspective. The main findings are as follows. (1) The hydrologic and climatic variables, that is, annual runoff (AR), annual average temperature, (AAT) and annual precipitation (AP), are stochastic and, no significant autocorrelation. (2) The variation patterns of runoff, temperature, and precipitation were scale dependent in time. AR, AAT, and AP basically present linear trends at 16-year and 32-year scales, but they show nonlinear fluctuations at 2-year and 4-year scales. (3) The relationship between AR with AAT and AP was simulated by the multiple linear regression equation (MLRE) based on wavelet analysis at each time scale. But the simulated effect at a larger time scale is better than that at a smaller time scale. |
| format | Article |
| id | doaj-art-039294baa26b4dd78ead8a4fc13788ce |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-039294baa26b4dd78ead8a4fc13788ce2025-02-03T05:51:33ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/272715272715An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest ChinaJianhua Xu0Yiwen Xu1Chunan Song2The Research Center for East-West Cooperation in China, The Key Lab of GIScience of the Education Ministry PRC, East China Normal University, 500 Dongchuan Road, Minhang, Shanghai 200241, ChinaThe Research Center for East-West Cooperation in China, The Key Lab of GIScience of the Education Ministry PRC, East China Normal University, 500 Dongchuan Road, Minhang, Shanghai 200241, ChinaThe Research Center for East-West Cooperation in China, The Key Lab of GIScience of the Education Ministry PRC, East China Normal University, 500 Dongchuan Road, Minhang, Shanghai 200241, ChinaTaking the Yarkand River as an example, this paper conducted an integrative approach combining the Durbin-Watson statistic test (DWST), multiple linear regression (MLR), wavelet analysis (WA), coefficient of determination (CD), and Akaike information criterion (AIC) to analyze the climatic-hydrological process of inland river, Northwest China from a multitime scale perspective. The main findings are as follows. (1) The hydrologic and climatic variables, that is, annual runoff (AR), annual average temperature, (AAT) and annual precipitation (AP), are stochastic and, no significant autocorrelation. (2) The variation patterns of runoff, temperature, and precipitation were scale dependent in time. AR, AAT, and AP basically present linear trends at 16-year and 32-year scales, but they show nonlinear fluctuations at 2-year and 4-year scales. (3) The relationship between AR with AAT and AP was simulated by the multiple linear regression equation (MLRE) based on wavelet analysis at each time scale. But the simulated effect at a larger time scale is better than that at a smaller time scale.http://dx.doi.org/10.1155/2013/272715 |
| spellingShingle | Jianhua Xu Yiwen Xu Chunan Song An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China Advances in Meteorology |
| title | An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China |
| title_full | An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China |
| title_fullStr | An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China |
| title_full_unstemmed | An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China |
| title_short | An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China |
| title_sort | integrative approach to understand the climatic hydrological process a case study of yarkand river northwest china |
| url | http://dx.doi.org/10.1155/2013/272715 |
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