Hazards and reflection on Fangshan District extreme rainstorm of July 21, 2012, the urban mountainous region of Beijing, North China

Zhang, Xuexia; Sheng, Wenfei; Qi, Shanzhong

doi:10.1007/s11069-018-3464-z

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…It is estimated that the direct economic losses caused by floods in China from 1990 to 2018 came to over CNY 4 trillion [4]. China is the one of the countries in the world with a high incidence of floods and waterlogging, and devastating flood disasters have occurred in recent years, such as the flooding in Beijing city in 2012 [5] and in Zhengzhou city in 2021 [6].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Yuan,

Wang,

Wang

et al. 2024

Water

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Intense climate change and rapid urbanization have increased the risk of urban flooding, seriously affecting urban economic and social stability. Enhancing urban flood resilience (UFR) has required a new solution to cope with urban flood disasters. In this study, taking Yingtan city as an example, a system of indicators for evaluating UFR was constructed, with 17 representative indicators, comprising three subsystems: socio-economic, ecological, and infrastructural. A hybrid model combining Fuzzy Analytic Hierarchy Process (FAHP), Entropy Weight Method (EWM), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied, to develop an index-based measurement to compare and evaluate UFR, and Gray Relational Analysis (GRA) was used to discover the main factors affecting UFR. In addition, the natural discontinuous method was innovatively used to divide the UFR grade interval into levels, and the grade change was evaluated based on the TOPSIS method. The results showed that (1) From 2010 to 2022, the UFR in Yingtan City increased by 80.69%, and the factors affecting UFR were highly correlated with urban infrastructure development; however, the ecological resilience in the subsystem showed a fluctuating downward trend because of the influence of the surface area of lakes and rivers; (2) The grades of UFR for Yingtan City increased from Level III (2010 and 2016) to Level IV (2022), with local financial expenditures and the age structure of the population being the main factors currently limiting the development of UFR. The study provides a theoretical basis for the construction of an indicator system for assessing the UFR of Yingtan and proposes practical improvement directions for UFR.

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Section: Introductionmentioning

confidence: 99%

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Yuan,

Wang,

Wang

et al. 2024

Water

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“…In recent years, urban floods have become a frequent occurrence worldwide due to rapid urbanization and climate change [1][2][3]. Such floods have already presented great risks to human safety and economic losses to cities worldwide [4,5]. LID, as one urban storm water management approach, has been proposed and widely applied to mitigate this problem since the 1990s [6].…”

Section: Introductionmentioning

confidence: 99%

Detailed Quantification of the Reduction Effect of Roof Runoff by Low Impact Development Practices

Zhang

Chen

Hou

et al. 2020

Water

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Low impact development (LID) has been widely applied to mitigate urban rainwater problems since the 1990s. However, the effect of LID practices has seldom been evaluated in detail. In this study, the effect of individual and combined LID practices on the reduction of roof runoff are specifically quantified considering the hydrological relationship between LID at the building scale and the campus scale at Beijing Normal University (BNU). The results show that individual and combined LID practices effectively reduce roof runoff for all types of rainfall and for rainfall with return periods from 0.5 to 50 years at the building scale. Combination scenarios maintain good performance with fewer areas of composed LID. Most values for the effect of combination scenarios are between the effects of composed LID. To achieve the highest cost efficiency, low elevation greenbelts should be the first choice, and green roofs should only be selected when low elevation greenbelts and rain barrels cannot be implemented. At the campus scale, individual and combined LID practices effectively reduce the outflow from and the overflow in the campus and combination scenarios have the best reduction performance. This study provides an important reference for urban water management and LID related decision making.

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“…The ecosystems of high mountainous area such as the Alps, the Rockies, the Andes and the Himalayas etc. are most susceptible to the spectre of climate change (Beniston 1997;Diaz and Bradley 1997;Wibig and Glowicki 2002;Beniston 2003;Diaz et al 2003;Villaba et al 2003;Beniston 2005;Kohler et al 2011;Zhang et al 2018). Warming appears to have enhanced and intensified extreme events in these regions (World Meteorological Organization 2003).…”

Section: Introductionmentioning

confidence: 99%

Assessment of spatio-temporal variability of temperature using geo-statistical techniques: a case study of Upper Teesta River Basin, India

Mishra

Chand

2019

Environmental Sustainability

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Mountainous regions are conspicuous due to their inimitable natural features. Natural regions are becoming progressively pretentious owing to the temperature variability pattern. Assessing temperature variability is vital to comprehend the physiography of these regions. Upper Teesta basin portrays a unique blend of a sub-tropical climate in the south and tundra type in the north. The Teesta river is considered as the lifeline of Sikkim, lies in the tundra type of climate covering the northern portion, where at least three months (November-January) of a year remain under deep snow and temperature hovering around 0 °C. The upper Teesta river basin covers the whole part of Sikkim scheming the lifestyle and occupation of the people based on the availability of its waters. Atmospheric temperature plays a crucial role in determining stream properties and water volume. Mean monthly temperature data acquired from India Meteorological Department as well as The National Centre for Environmental Prediction (NCEP) have been analysed with the help of kurtosis, skewness, and visualization done through Z-distribution in GIS environment. It provides a strategic outlook towards the proper utilization of the river water despite maintaining harmony with the climate of the region. The result depicts changes in the river itinerary concerning climatic variability pattern that calls for sustainable management of this water resource.

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Hazards and reflection on Fangshan District extreme rainstorm of July 21, 2012, the urban mountainous region of Beijing, North China

Cited by 9 publications

References 3 publications

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Detailed Quantification of the Reduction Effect of Roof Runoff by Low Impact Development Practices

Assessment of spatio-temporal variability of temperature using geo-statistical techniques: a case study of Upper Teesta River Basin, India

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