Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China

Xiao, Shuai; Zou, Lei; Xia, Jun; Dong, Yuan; Yang, Zhizhou; Yao, Tianci

doi:10.1016/j.scitotenv.2022.161321

Cited by 44 publications

(11 citation statements)

References 70 publications

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“…Lei et al [52] found that floods and extreme precipitation would cause a certain degree of damage to buildings. Water conservancy facilities (such as dams and embankments) and riverside buildings would need to be strengthened in the future to prevent serious city and farmland waterlogging [10,48,49]. In Figure 10e, the eastern-southern Haihe River Basin is characterized by plains covered with farmland.…”

Section: Discussionmentioning

confidence: 99%

“…waterlogging [10,48,49]. In Figure 10e, the eastern-southern Haihe River Basin is characterized by plains covered with farmland.…”

Section: Discussionmentioning

confidence: 99%

“…Numerous studies used quantitative performance evaluation indicators for CMIP6 models [25,36]. In this study, Taylor [36] and tabular thermal [10] diagrams were used to evaluate monthly precipitation performance in the Haihe River Basin. The Taylor diagram used the correlation coefficient [21], root mean square error (RMSE) [36], and standard deviation between the observed and simulated precipitation.…”

Section: Evaluation Indicators Of Precipitation Performancementioning

confidence: 99%

“…These events are usually significant precipitation events, such as the once in a thousand years precipitation event in Zhengzhou on 20 July 2021 (the maximum hourly precipitation was 201.9 mm) [9] and the once in 50 years precipitation event in Wuhan on 23 July 2015 (the maximum hourly precipitation was 84.1 mm) [10]. Both the precipitation that occurred in Zhengzhou on 20 July 2021 and Wuhan on 23 July 2015 were caused by excessive atmospheric water vapor and were related with dynamic atmospheric factors [9,10]. The Expert Team on Climate Change Detection and Indices developed, employed, and recommended extreme precipitation indices [8,11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Revelation and Projection of Historic and Future Precipitation Characteristics in the Haihe River Basin, China

Huo,

Sha,

Wang

et al. 2023

Water

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Precipitation, as one of the main components of the hydrological cycle, is known to be significantly impacted by global climate change. In recent years, the frequency of extreme precipitation has increased, resulting in greater destructiveness. Atmospheric circulation has a significant impact on extreme precipitation in a region. This study aims to investigate the prospective changes in extreme precipitation and their relationship with large-scale atmospheric circulation in the Haihe River Basin. The Haihe River Basin is located in the North China Plain. Mountains and plains can be found in both the eastern and western parts of the study region. The summer seasons experience the most precipitation. The monthly and extreme precipitation (based on daily precipitation) results from the Coupled Model Intercomparison Project Phase 6 (CMIP6) models were evaluated using observed precipitation data, which was utilized as a reference. The CMIP6 models were used to assess future changes in the characteristics of extreme precipitation in the study region. The relationship between extreme precipitation and large-scale atmospheric circulation was also analyzed using historical observation data. Remote sensing results regarding land cover and soil erosion were used to analyze the risks of extreme precipitation and their influences in the study region. According to the results, their multi-model ensembles (MME) and BCC-CSM2-MR models, respectively, outperformed all other CMIP6 models in simulating monthly and extreme (based on daily precipitation) precipitation over the study region. Extreme precipitation demonstrated a rising degree of contribution and future risk under numerous scenarios. The degrees of contribution of R95p and R99p are anticipated to increase in the future. BCC-CSM2-MR predicted that Rx1day and Rx5day would decline in the future. Generally, extreme precipitation increased to a greater degree under SSP585 than under SSP245. Both the El Niño–Southern Oscillation and the Pacific Decadal Oscillation displayed substantial resonance with the extreme precipitation from 1962 to 1980 and around 1995, respectively. This study not only improves our understanding of the occurrence of extreme precipitation, but it also serves as a reference for flood control and waterlogging prevention in the Haihe River Basin.

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Section: Discussionmentioning

confidence: 99%

“…waterlogging [10,48,49]. In Figure 10e, the eastern-southern Haihe River Basin is characterized by plains covered with farmland.…”

Section: Discussionmentioning

confidence: 99%

Section: Evaluation Indicators Of Precipitation Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Revelation and Projection of Historic and Future Precipitation Characteristics in the Haihe River Basin, China

Huo,

Sha,

Wang

et al. 2023

Water

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“…The selection of the assessment indicators is the basis of water risk assessment. A rational indicator system is expected to contain features of a dynamic bidirectional transmission mechanism and feedback besides assuring the broad coverage of indicators [43]. As a well-accepted method to assess resilience, the PSR framework [44] not only has obvious advantages in reflecting dynamic assessment processes [45,46] but also has conceptual coherence with the substance of risk-a product of the combination of a risk source and a risk-bearing entity [25].…”

Section: Indicator Selection and Standard Classificationmentioning

confidence: 99%

Spatial Distribution of Water Risk Based on Atlas Compilation in the Shaanxi Section of the Qinling Mountains, China

Wang

Yu³

et al. 2023

Sustainability

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Global climate change and rapid socio-economic development have increased the uncertainty in water resource systems and the complexity of water risk issues. Analyzing water risk and its spatial distribution is integral to the attainment of Sustainable Development Goal (SDG) 6, as this contributes to effective water resource partition management. In this paper, a compiling method of risk atlas with multiple layers is proposed, and the water risk system is divided into five sub-systems including the risk of resource, management, engineering, quality, and disaster. The information used for the risk atlas is calculated by a risk evaluation model based on a Pressure–State–Response (PSR) framework, hierarchical cluster, and set pair analysis (SPA). Risks in the Qinling Mountains of Shaanxi (as a case study) are evaluated and visualized. The results show that grades IV and V of engineering, disaster, and resource risk exceed 40%, indicating that they require prior control. The quality and management risks are not major, but there is still room for improvement. Overall, the risk atlas can effectively and objectively reflect the spatial distribution of water risk and provide a basis for the layout of water risk control measures.

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A tri-system urban waterlogging risk assessment framework based on GIS- game theory combination weight: a case of Zhengzhou City

Li,

2024

Nat Hazards

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Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China

Cited by 44 publications

References 70 publications

Revelation and Projection of Historic and Future Precipitation Characteristics in the Haihe River Basin, China

Revelation and Projection of Historic and Future Precipitation Characteristics in the Haihe River Basin, China

Spatial Distribution of Water Risk Based on Atlas Compilation in the Shaanxi Section of the Qinling Mountains, China

A tri-system urban waterlogging risk assessment framework based on GIS- game theory combination weight: a case of Zhengzhou City

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