Academic Journal
Assessment of hydrological drought based on nonstationary runoff data
| العنوان: | Assessment of hydrological drought based on nonstationary runoff data |
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| المؤلفون: | Xueli Sun, Zhanling Li, Qingyun Tian |
| المصدر: | Hydrology Research, Vol 51, Iss 5, Pp 894-910 (2020) |
| بيانات النشر: | IWA Publishing, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:River, lake, and water-supply engineering (General) LCC:Physical geography |
| مصطلحات موضوعية: | gamlss, hydrological drought, nonstationary, sri, River, lake, and water-supply engineering (General), TC401-506, Physical geography, GB3-5030 |
| الوصف: | A nonstationary standardized runoff index (NSRI) is proposed by using the GAMLSS framework to assess the hydrological drought under nonstationary conditions. The definition of the NSRI is similar to that of SRI, but using a nonstationary Gamma distribution by incorporating meteorological variables and antecedent runoff as covariates to describe the characteristics of runoff series. The new drought index is then applied to the upper reach of the Heihe River basin. Four models are developed, in which one is stationary, and the other three are nonstationary with one, two and three covariates, respectively. Results show that, for the nonstationary runoff series, the nonstationary models are more robust and reliable than the stationary one. Among these models, the model with two covariates performs the best. For the model with one covariate, the precipitation shows better in the fitting as a covariate in rainy seasons, and the antecedent runoff shows better in dry seasons. The NSRI identifies more drought events than SRI does, and the drought conditions in our case are mainly affected by precipitation. It is proved that the proposed new drought index is a more effective method for drought assessments under nonstationary conditions. HIGHLIGHTS A nonstationary standardized runoff index is developed.; Six alternative covariates and three kinds of nonstationary models are compared.; The nonstationary model with two covariates performs the best.; Hydrological drought conditions in this case is mainly affected by precipitation.; |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1998-9563 2224-7955 |
| Relation: | http://hr.iwaponline.com/content/51/5/894; https://doaj.org/toc/1998-9563; https://doaj.org/toc/2224-7955 |
| DOI: | 10.2166/nh.2020.029 |
| URL الوصول: | https://doaj.org/article/b77ff9eaa608459abc26a9812ca5d859 |
| رقم الانضمام: | edsdoj.b77ff9eaa608459abc26a9812ca5d859 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 19989563 22247955 |
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| DOI: | 10.2166/nh.2020.029 |