نویسندگان | Mohammad Nazeri Tahroudi,Carlo De Michele,Rasoul Mirabbasi |
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نشریه | Hydrology Research |
شماره صفحات | 1-17 |
شماره سریال | 51 |
شماره مجلد | 4 |
ضریب تاثیر (IF) | 1.156 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2020 |
رتبه نشریه | علمی - مروری |
نوع نشریه | چاپی |
کشور محل چاپ | ایران |
نمایه نشریه | ISI،JCR،Scopus |
چکیده مقاله
The complex hydrological events such as storm, flood and drought are often characterized by a number of correlated random variables. Copulas can model the dependence structure independently of the marginal distribution functions and provide multivariate distributions with different margins and the dependence structure. In this study, the conditional behavior of two signatures was investigated by analyzing the joint signatures of groundwater level deficiency and rainfall deficiency in Naqadeh sub-basin in Lake Urmia Basin using copula functions. The study results of joint changes in the two signatures showed that a 90–135 mm reduction in rainfall in the area increased groundwater level between 1.2 and 1.7 m. The study results of the conditional density of bivariate copulas in the estimation of groundwater level deficiency values by reducing rainfall showed that changes in values of rainfall deficiency signature in the sub-basin led to the generation of probability curves of groundwater level deficiency signature. Regarding the maximumgroundwater level deficiency produced, the relationship between changes in rainfall deficiency and groundwater level deficiency was calculated in order to estimate the groundwater level deficiency signature values. The conditional density function presented will be an alternative method to the conditional return period.
tags: conditional density, diagonal section, joint probability, Lake Urmia, marginal distribution functions