Global map of a comprehensive drought/flood index and analysis of controlling environmental factors

Pang, Jianzhuang; Zhang, Huilan

doi:10.1007/s11069-022-05673-5

Cited by 2 publications

(2 citation statements)

References 103 publications

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“…In the context of climate change, together with increasing population, improper land use, and urban expansion, the fragile karst ecosystem could be easily affected [7,8]. Karstrelated hazards, such as rocky desertification, drought, flood, landslides, etc., occur frequently and aggravatedly, and some unusual karst hazards have gradually evolved into periodic disasters with increasing frequency every year [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…There are many different types of floods in the karst region, such as karst terrain flooding [12,13] and river flooding [14]. At the macro-regional scale, karst floods often occur in humid tropical and subtropical karst environments [11]. From the perspective of surface and underground structures, karst floods mainly occur in negative landforms (such as peak cluster depressions and peak cluster valleys) [12,15].…”

Section: Introductionmentioning

confidence: 99%

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Spatial and Temporal Dynamics of Drought and Waterlogging in Karst Mountains in Southwest China

et al. 2023

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Under the synergetic effect of land use and climate change, natural disasters occur frequently in the karst region of southwest China. This study used the daily precipitation data from 33 meteorological stations across 61 years (1960–2020), utilized the MK test and the Z index to calculate the levels of drought and waterlogging (DW) at multiple times (month and year) and spatial (province, sub-divisions, station) scales, and investigated the spatiotemporal patterns and their associated factors in DW in the karst mountains of Guizhou, southwest China. The results showed that: (1) DW occurred frequently and increasingly during the study period in Guizhou, with seven mutations of annual DW. (2) There were more droughts (especially heavy droughts) based on annual data, but more waterlogging (especially heavy waterlogging) based on monthly data. Drought occurred most frequently in summer, while waterlogging was most frequent in spring, followed by winter. (3) The normalized difference drought and waterlogging index (NDDWI) was created in this study to exhibit combined DW phenomena, which could be improved in the future to better present the compound hazards. The spatiotemporal patterns of DW in Guizhou were complicated and associated with terrain, geology, climate change, vegetation, land use, etc.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Dynamics of Drought and Waterlogging in Karst Mountains in Southwest China

et al. 2023

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Zoning of Critical Hubs of Climate Change (Flood-Drought) Using the Hydrologic Engineering Center-Hydrologic Modeling System and Copula Functions Case study: Khorramabad Basin

Robati,

Najafgholi,

Nikoomaram

et al. 2024

Preprint

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Climate change is currently the major challenge facing mankind, and this crisis has been the topmost global issue due to the increasing role of human activities and the high sensitivity of human societies to the threats caused by these changes. The climate changes created for humans and nature have led to risks and threats that occur on different spatial and temporal scales. Therefore, adopting policies to deal with climate change will be a critical issue in risk management. Nonetheless, identifying critical hubs in the study area helps improve the risk management process in the risk assessment of climate change consequences, such as floods and droughts. Accordingly, this study mainly aimed to identify such points in the study area according to this principle. As with other parts of the world, the Khorramabad Basin (Lorestan province, Iran) is prone to serious risks in terms of climate change. This area is located as a Class III sub-basin in the Class II Karkheh basin and the Class I basin of the Persian Gulf and the Sea of Oman. In this study, the critical hubs of the desired watershed were identified using the HEC-HMS rainfall simulation model to prioritize the flood-prone sub-basins of the Khorramabad Basin. The sub-basins with a high drought risk were prioritized with the detailed function (copula) statistical method. An important point in this evaluation is the use of Global Precipitation Measurement (GPM) precipitation data as common data in the analyses made in the flood and drought sections. The return rate was also calculated in both methods. The model implementation and statistical analysis revealed that the highest probability of flood occurrence belonged to the flooded part of W990, W1140, and W710 sub-basins, with respective flow volumes and maximum flow rates of 5140.8364 mm and 1389.276 m3/s, 539.0018 mm and 383.838 m3/s, and 466.8089 mm and 1561.104 m3/s, based on the flow volume in all the estimated return periods. In the drought section, the sub-basins W1070, W730, and W610 would be the most critical hubs in terms of drought probability, with return periods of 1.1578, 1.1923, and 1.1976 years, respectively.

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Global map of a comprehensive drought/flood index and analysis of controlling environmental factors

Cited by 2 publications

References 103 publications

Spatial and Temporal Dynamics of Drought and Waterlogging in Karst Mountains in Southwest China

Spatial and Temporal Dynamics of Drought and Waterlogging in Karst Mountains in Southwest China

Zoning of Critical Hubs of Climate Change (Flood-Drought) Using the Hydrologic Engineering Center-Hydrologic Modeling System and Copula Functions Case study: Khorramabad Basin

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