A copula model to identify the risk of river water temperature stress for meteorological drought

Seo, Jiyu; Won, Jeongeun; Choi, Jeonghyeon; Lee, Jeonghoon; Kim, Sangdan

doi:10.1016/j.jenvman.2022.114861

Cited by 18 publications

(4 citation statements)

References 112 publications

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“…It can solve nonlinear, nonnormal, nonsymmetric, and long-tailed problems. In recent years, this theory has been widely used in multivariate analysis in the fields of extreme value theory [26], financial risk [27], wireless communication [28], drought [29,30], and flood disasters [31,32]. Some researchers have previously constructed the TC-induced wind-rain joint probability distribution function based on Copula theory.…”

Section: Tc Hazard Assessmentmentioning

confidence: 99%

High-Resolution Hazard Assessment for Tropical Cyclone-Induced Wind and Precipitation: An Analytical Framework and Application

Tang

Liu

et al. 2022

Sustainability

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Intensified tropical cyclones (TCs) threaten the socioeconomic development of coastal cities. The coupling of strong wind and precipitation with the TC process usually amplifies the destructive effects of storms. Currently, an integrated analytical framework for TC hazard assessment at the city level that combines the joint statistical characteristics of multiple TC-induced hazards and local environmental features does not exist. In this study, we developed a novel hazard assessment framework with a high spatiotemporal resolution that includes a fine-tuned K-means algorithm for clustering TC tracks and a Copula model to depict the wind–precipitation joint probability distribution of different TC categories. High-resolution wind and precipitation data were used to conduct an empirical study in Shenzhen, a coastal megacity in Guangdong Province, China. The results show that the probabilities of TC-induced wind speed and precipitation exhibit significant spatial heterogeneity in Shenzhen, which can be explained by the characteristics of TC tracks and terrain environment factors. In general, the hazard intensity of TCs landing from the west side is higher than that from the east side, and the greatest TC intensity appears on the southeast coast of Shenzhen, implying that more disaster prevention efforts are needed. The proposed TC hazard assessment method provides a solid base for highly precise risk assessment at the city level.

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Section: Tc Hazard Assessmentmentioning

confidence: 99%

High-Resolution Hazard Assessment for Tropical Cyclone-Induced Wind and Precipitation: An Analytical Framework and Application

Tang

Liu

et al. 2022

Sustainability

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“…However, only one publication estimates extremes in the thermal regime of rivers using a multivariate FA approach. Seo et al (2022) recently focused on analyzing the effect of drought on water temperature from a probabilistic point of view using the notion of a copula distribution framework. Different correlated components can characterize extreme water temperatures.…”

Section: Introductionmentioning

confidence: 99%

Copula-Based Joint Modelling of Extreme River Temperature and Low Flow Characteristics in the Risk Assessment of Aquatic Life

Latif

Souaissi

Ouarda

et al. 2023

Preprint

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“…Droughts are divided into four categories according to their main effects on the hydrological system and their social and environmental impacts: meteorological drought, hydrological drought, agricultural drought and socio-economic drought (Hua, 2021;Seo et al, 2022). When drought does occur, meteorological drought typically manifests rst (Wang, 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal characteristics of meteorological drought based on the MCI of Penman–Monteith

Yang

Liu

et al. 2023

Nat Hazards

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The severity of global climate change is increasing, resulting in more frequent occurrences of drought disasters. Accurate evaluation of Spatio-temporal changes in drought using drought indices is of signi cant practical importance. This study employed the MCI based on Penman-Monteith, in combination with Kriging spatial interpolation, linear trend analysis, Mann-Kendall mutation test, and the EOF analysis to analyze annual and seasonal variations of different drought level days, drought station ratio, drought impact range, and drought cumulative intensity, and to study their interrelationships. The focus of this article is on the Spatio-temporal characteristics of meteorological drought in the Pearl River Basin over the past 60 years. The ndings indicate that the annual average number of drought days exhibits a decreasing trend from the central to the eastern and western parts of the basin, with the western region experiencing more drought days than the eastern region. Furthermore, the highest frequency of drought occurs in winter, followed by spring and autumn, while summer experiences the lowest frequency. Additionally, there is a positive correlation between the drought impact range and drought cumulative intensity. Based on the EOF decomposition, the drought cumulative intensity can be primarily divided into two modes, the drought consistently changes throughout the entire basin, and the wet-dry distribution is opposite in the western and eastern parts. Studying the drought conditions in the Pearl River Basin based on the MCI can not only provide reference for drought research in different regions of the world but also provide a scienti c basis for global climate change response and drought management and forecasting.

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A copula model to identify the risk of river water temperature stress for meteorological drought

Cited by 18 publications

References 112 publications

High-Resolution Hazard Assessment for Tropical Cyclone-Induced Wind and Precipitation: An Analytical Framework and Application

High-Resolution Hazard Assessment for Tropical Cyclone-Induced Wind and Precipitation: An Analytical Framework and Application

Copula-Based Joint Modelling of Extreme River Temperature and Low Flow Characteristics in the Risk Assessment of Aquatic Life

Spatio-temporal characteristics of meteorological drought based on the MCI of Penman–Monteith

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