Correction to: A local scale flood vulnerability assessment in the flood‑prone area of Khyber Pakhtunkhwa, Pakistan

Nazeer, Muhammad; Bork, Hans‐Rudolf

doi:10.1007/s11069-021-05062-4

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“…With the exception of Punjab and Sindh Provinces, areas of medium-high risk, such as Balochistan and Khyber Pakhtunkhwa Provinces, also warrant attention. In 2022, severe flooding occurred in both provinces, with continuous extreme rainfall leading to the formation of massive lakes in Balochistan's densely populated right bank of the Indus River [40]. Rivers of Khyber Pakhtunkhwa Province have diminished capacity to withstand floods due to deforestation, encroachment on floodplains, and sedimentation of riverbeds.…”

Section: Discussionmentioning

confidence: 99%

Flood Risk Assessment Based on Hydrodynamic Model—A Case of the China–Pakistan Economic Corridor

Sun,

Jin,

Tao

et al. 2023

Water

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Under global warming, flooding has become one of the most destructive natural disasters along the China–Pakistan Economic Corridor (CPEC), which significantly jeopardizes the construction and ongoing stability of the CPEC. The assessment of regional flood potential is, therefore, crucial for effective flood prevention and relief measures. In light of this, our study applied MIKE 11 hydrodynamic model for the Indus River Basin of Pakistan to achieve a comprehensive analysis of the flood-affected locations and depths under typical scenarios. The flood risk zones along the CPEC were evaluated using the indicator system method in conjunction with the combination weighting method. The results show that the hydrodynamic model has a Nash–Sutcliffe efficiency of 0.86, allowing for the investigation of floods at more precise temporal and spatial scales. Punjab, Sindh, and Balochistan Provinces are the main inundation areas under a 100-year flood scenario, with inundation depths ranging from 1 to 4 m. The coastal regions of Sindh and Hafizabad in Punjab witnessed the most severe floods, with maximum inundation depths exceeding 8 m. Flooding predominantly impacts the southeastern region of the CPEC. The medium- to high-risk zones comprise 25.56% of the region, while high-risk areas constitute 4.18%. Particularly, the eastern and southern regions of Punjab, along with the central and southern regions of Sindh, have been pinpointed as high-risk areas, primarily due to their dense population and riverine characteristics. Overall, our findings provide a scientific basis for informed decision making pertaining to disaster reduction and flood prevention.

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Section: Discussionmentioning

confidence: 99%

Flood Risk Assessment Based on Hydrodynamic Model—A Case of the China–Pakistan Economic Corridor

Sun,

Jin,

Tao

et al. 2023

Water

View full text Add to dashboard Cite

show abstract

Correction to: A local scale flood vulnerability assessment in the flood‑prone area of Khyber Pakhtunkhwa, Pakistan

Abstract: The article "A local scale flood vulnerability assessment in the flood-prone area of Khyber Pakhtunkhwa, Pakistan", written by Muhammad Nazeer and Hans-Rudolf Bork, was originally published Online First without Open Access.

Cited by 1 publication

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Flood Risk Assessment Based on Hydrodynamic Model—A Case of the China–Pakistan Economic Corridor

Flood Risk Assessment Based on Hydrodynamic Model—A Case of the China–Pakistan Economic Corridor

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