Non-synergistic effect of marginal distribution and dependence structure of extremes triggering the future risk of compound dry-hot events in Yellow River, China.
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| Title: | Non-synergistic effect of marginal distribution and dependence structure of extremes triggering the future risk of compound dry-hot events in Yellow River, China. |
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| Authors: | Xu, Pengcheng1 (AUTHOR) m18994113495@163.com, Zhu, Tong1 (AUTHOR), Wang, Dong2 (AUTHOR), Wang, Yuankun3 (AUTHOR), Singh, Vijay P.4,5 (AUTHOR), Lu, Miao1,6 (AUTHOR), Fu, Xiaolei1 (AUTHOR) |
| Source: | Stochastic Environmental Research & Risk Assessment. Aug2025, Vol. 39 Issue 8, p3187-3200. 14p. |
| Subjects: | Marginal distributions, Dependence (Statistics), Copula functions, Socioeconomic factors, Climate extremes, Risk assessment, Climate change |
| Geographic Terms: | China, Yellow River (China) |
| Abstract: | Compound dry-hot extremes (CDH) cause devastating socio-economic impacts on society and ecosystems. Univariate risk assessment might not catch the potential impacts of CDH. Considering the negative correlation of average summer temperature and precipitation, this study developed two kinds of copula-based likelihood multiplication index, such as the whole likelihood multiplication index () and the second likelihood multiplication index (), to enumerate the attribution and projection of compound dry-hot events in Yellow River Basin (YRB) of China. Observed datasets show that the areas influenced by the CDH within YRB are increasing, and the most-extreme CDH event was observed several decades ago. Comparison of natural-only and all forcing-based CMIP6 data show that anthropogenic factors are causing the increasing trend of affected areas. Results of analysis showed that changes in the risk of CDH events could depend on not only the temporal variation of the marginal distribution but also the change in the dependence structure between variables. By comparing the difference between and , all grid-based areas in YRB were classified into five cases of combined effects which would help identify the synergistic and non-synergistic contribution of variations in marginal distribution and dependence structure of variables on risk of CDH events. Under Shared Socioeconomic Pathways scenarios (SSPs), the likelihood of concurrent dry-hot extremes is expected to increase in more than half of YRB while small parts of YRB would also experience decreasing likelihood of CDH events with 38.2% of grids under SSP1-2.6, 37.4% under SSP3-7.0 and 36.9% under SSP5-8.5 belonging to case 3 and 6. [ABSTRACT FROM AUTHOR] |
| Copyright of Stochastic Environmental Research & Risk Assessment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 186987727 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Non-synergistic effect of marginal distribution and dependence structure of extremes triggering the future risk of compound dry-hot events in Yellow River, China. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xu%2C+Pengcheng%22">Xu, Pengcheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> m18994113495@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Tong%22">Zhu, Tong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Dong%22">Wang, Dong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yuankun%22">Wang, Yuankun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+Vijay+P%2E%22">Singh, Vijay P.</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Miao%22">Lu, Miao</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fu%2C+Xiaolei%22">Fu, Xiaolei</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Stochastic+Environmental+Research+%26+Risk+Assessment%22">Stochastic Environmental Research & Risk Assessment</searchLink>. Aug2025, Vol. 39 Issue 8, p3187-3200. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Marginal+distributions%22">Marginal distributions</searchLink><br /><searchLink fieldCode="DE" term="%22Dependence+%28Statistics%29%22">Dependence (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Copula+functions%22">Copula functions</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+extremes%22">Climate extremes</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Yellow+River+%28China%29%22">Yellow River (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Compound dry-hot extremes (CDH) cause devastating socio-economic impacts on society and ecosystems. Univariate risk assessment might not catch the potential impacts of CDH. Considering the negative correlation of average summer temperature and precipitation, this study developed two kinds of copula-based likelihood multiplication index, such as the whole likelihood multiplication index () and the second likelihood multiplication index (), to enumerate the attribution and projection of compound dry-hot events in Yellow River Basin (YRB) of China. Observed datasets show that the areas influenced by the CDH within YRB are increasing, and the most-extreme CDH event was observed several decades ago. Comparison of natural-only and all forcing-based CMIP6 data show that anthropogenic factors are causing the increasing trend of affected areas. Results of analysis showed that changes in the risk of CDH events could depend on not only the temporal variation of the marginal distribution but also the change in the dependence structure between variables. By comparing the difference between and , all grid-based areas in YRB were classified into five cases of combined effects which would help identify the synergistic and non-synergistic contribution of variations in marginal distribution and dependence structure of variables on risk of CDH events. Under Shared Socioeconomic Pathways scenarios (SSPs), the likelihood of concurrent dry-hot extremes is expected to increase in more than half of YRB while small parts of YRB would also experience decreasing likelihood of CDH events with 38.2% of grids under SSP1-2.6, 37.4% under SSP3-7.0 and 36.9% under SSP5-8.5 belonging to case 3 and 6. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Stochastic Environmental Research & Risk Assessment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00477-025-02992-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3187 Subjects: – SubjectFull: Marginal distributions Type: general – SubjectFull: Dependence (Statistics) Type: general – SubjectFull: Copula functions Type: general – SubjectFull: Socioeconomic factors Type: general – SubjectFull: Climate extremes Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Climate change Type: general – SubjectFull: China Type: general – SubjectFull: Yellow River (China) Type: general Titles: – TitleFull: Non-synergistic effect of marginal distribution and dependence structure of extremes triggering the future risk of compound dry-hot events in Yellow River, China. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xu, Pengcheng – PersonEntity: Name: NameFull: Zhu, Tong – PersonEntity: Name: NameFull: Wang, Dong – PersonEntity: Name: NameFull: Wang, Yuankun – PersonEntity: Name: NameFull: Singh, Vijay P. – PersonEntity: Name: NameFull: Lu, Miao – PersonEntity: Name: NameFull: Fu, Xiaolei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14363240 Numbering: – Type: volume Value: 39 – Type: issue Value: 8 Titles: – TitleFull: Stochastic Environmental Research & Risk Assessment Type: main |
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