Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations

Tian, Xuemin; Veldhuis, Marie-Claire ten; Schleiss, Marc; Bouwens, Christian; Giesen, Nick van de

doi:10.1016/j.scitotenv.2019.06.355

Cited by 26 publications

(9 citation statements)

References 50 publications

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“…Climate change brings changes in many environmental elements, both in urban areas and in other regions [33]. As social, cultural, and technical centers, urban areas attract more and more people, making them more sensitive and vulnerable in the face of natural disasters [34].…”

Section: Impact Of Climate Change On Urban Pluvial Flooding Processes...mentioning

confidence: 99%

Comprehensive Understanding the Disaster-Causing Mechanism, Governance Dilemma and Targeted Countermeasures of Urban Pluvial Flooding in China

Kong

Sun

Wang

2021

Water

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Urban pluvial flooding in China has become one of the major challenges for sustainable development. This paper analyzes the impact of climate change, urbanization, and integrated disaster drivers on urban pluvial flooding hazards, starting from the disaster-causing mechanisms of urban pluvial flooding in China. This paper then analyzes the main features and progress of urban pluvial flooding governance in China. In particular, this paper describes the progress of sponge cities in China. On the basis of the above contents, this paper describes three manifestations of the fragmentation dilemma at the level of governance, namely, fragmentation in value integration due to conflicting management orders and service values, fragmentation in resource and power allocation due to the lack of vertical top-level design and blurred horizontal departmental management boundaries, and fragmentation in policy formulation and implementation due to outdated urban flood control standards and interdepartmental information compartmentalization. In response to the fragmentation dilemma in urban pluvial flooding management in China, this paper introduces the concept of holistic governance and clarifies the path of urban waterlogging management, i.e., forming a collaborative and diversified governance subjects, deeply optimizing the organizational structure of urban waterlogging management, creating a mature information-based governance platform, and improving the legal and rule of law construction model. This paper is informative for understanding the governance of urban pluvial flooding in China from a government-led management level.

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Section: Impact Of Climate Change On Urban Pluvial Flooding Processes...mentioning

confidence: 99%

Comprehensive Understanding the Disaster-Causing Mechanism, Governance Dilemma and Targeted Countermeasures of Urban Pluvial Flooding in China

Kong

Sun

Wang

2021

Water

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“…An article entitled "Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations" was published in 2019 in Science of the Total Environment. The authors explore the possibility of using citizen flood observations to gain new insights [18] using a 10-year radar rain map dataset and 70,000 citizen flood reports in Rotterdam. The investigators trained three binary decision trees based on Big Data and used them to predict flood occurrence based on peak rainfall intensity at different time scales.…”

Section: Application Of Web Crawling Rainfall Data In Model Inputmentioning

confidence: 99%

“…Rainfall observation from rainfall stations has the advantage of high observation accuracy, but the spatiotemporal effect is poor [17]. New technology of rainfall measurement is designed to improve the spatial and temporal resolution of rainfall input to the model, but its observation accuracy is far from sufficient [18]. These limitations are the main reasons that rainfall input affects model accuracy [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Impact of Rainfall Inputs on Urban Rainfall Models: A Systematic Review

Liu

Yao

et al. 2020

Water

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Over the past several decades, urban flooding and other water-related disasters have become increasingly prominent and serious. Although the urban rain flood model’s benefits for urban flood simulation have been extensively documented, the impact of rainfall input to model simulation accuracy remains unclear. This systematic review aims to provide structured research on how rain inputs impact urban rain flood model’s simulation accuracy. The selected 48 peer-reviewed journal articles published between 2015 and 2019 on the Web of Science™ database were analyzed by key factors, including rainfall input type, calibration times and verification times. The results from meta-analysis reveal that when a traditional rain measurement was used as the rainfall input, model simulation accuracy was higher, i.e., the Nash–Sutcliffe efficiency coefficient (NSE) of traditional technology for rain measurement was higher than the 0.18 for the new technology rain measurement with respect to flow simulation. In addition, the single-field sub-flood calibration model was better than the multi-field sub-flood calibration model. NSE was higher than 0.14. The precision was better for the verification period; NSE of the calibration value showed a 0.07 higher verification value on average in flow simulation. These findings have certain significance for the development of future urban rain flood models and propose the development direction of the future urban rain flood model. Finally, in view of the rainfall input problem of the urban storm flood model, we propose the future development direction of the urban storm flood model.

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“…Equations (8) and (9) represent the mathematical expectation and variance of d k , respectively. Given the significance level α 0 , when α > α 0 , the null hypothesis, H 0 , was accepted.…”

Section: Mann-kendall Abrupt Change Detectionmentioning

confidence: 99%

Spatiotemporal Variations in Agricultural Flooding in Middle and Lower Reaches of Yangtze River from 1970 to 2018

Cao

Wang

et al. 2019

Sustainability

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Agricultural floods in the middle and lower reaches of the Yangtze River, known as the “land of fish and rice” in China, have increased both in areal coverage and frequency over the past 50 years, presenting a grave challenge to sustainable development and food security in the region. Studying the spatiotemporal variation characteristics of agricultural floods in this region is thus important for providing a scientific basis for regional flood control and disaster mitigation. We used variation trend analyses, Mann–Kendall tests, wavelet analyses, and center of gravity modeling to study spatiotemporal changes in agricultural floods in the study area, based on agricultural flood indicators. Changes in agricultural flood frequency showed an overall increasing trend. The frequency of floods changed abruptly in 1990, with the average frequency of floods per station increasing by 0.2086/year from 1991 through 2018, characterized by multiple time-scale changes. The time scale of 17 years had three low–high cycles, that of eight years had six, and that of four years had 13. Agricultural floods in the study area were concentrated in the southern Yangtze River and mainly occurred in northeastern Jiangxi Province and the southeastern Zhejiang Province. The area with high agricultural flood indices increased. Agricultural floods were closely related to the Yangtze River and the direction of the gravity center of agricultural floods was similar to that of the river. Affected by precipitation intensity and frequency, the gravity center fluctuated greatly and generally alternated from southwest to northeast.

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Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations

Cited by 26 publications

References 50 publications

Comprehensive Understanding the Disaster-Causing Mechanism, Governance Dilemma and Targeted Countermeasures of Urban Pluvial Flooding in China

Comprehensive Understanding the Disaster-Causing Mechanism, Governance Dilemma and Targeted Countermeasures of Urban Pluvial Flooding in China

Evaluation of the Impact of Rainfall Inputs on Urban Rainfall Models: A Systematic Review

Spatiotemporal Variations in Agricultural Flooding in Middle and Lower Reaches of Yangtze River from 1970 to 2018

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