scholarly journals Analysis of Urban Impervious Surface in Coastal Cities: A Case Study in Lianyungang, China

2018 ◽  
Author(s):  
Tingchen Jiang ◽  
Yuxi Liu ◽  
Kapo Wong ◽  
Yuanzhi Zhang ◽  
Yu Li ◽  
...  
Keyword(s):  
Impervious Surface ◽  
Urban Impervious Surface ◽  
Coastal Cities

Synergistic use of optical and InSAR data for urban impervious surface mapping: a case study in Hong Kong

2009 ◽  
Vol 30 (11) ◽  
pp. 2781-2796 ◽  
Author(s):  
Liming Jiang ◽  
Mingsheng Liao ◽  
Hui Lin ◽  
Limin Yang
Keyword(s):  
Hong Kong ◽  
Impervious Surface ◽  
Surface Mapping ◽  
Urban Impervious Surface

A case study on the urban impervious surface distribution based on a BCI index

2015 ◽  
Author(s):  
Xiaolin Chen ◽  
Genyun Sun ◽  
Zhenjie Wang
Keyword(s):  
Impervious Surface ◽  
Surface Distribution ◽  
Urban Impervious Surface

Decoupled formal and informal flooding adaptation and conflicts in coastal cities: A case study of Ho Chi Minh City

2021 ◽  
Vol 209 ◽  
pp. 105654
Author(s):  
Anh Cao ◽  
Miguel Esteban ◽  
Motoharu Onuki ◽  
Kiet Nguyen ◽  
Danh Thao Nguyen ◽  
...  
Keyword(s):  
Ho Chi Minh City ◽  
Coastal Cities

Long-range transport of ozone across the eastern China seas: A case study in coastal cities in southeastern China

2021 ◽  
pp. 144520
Author(s):  
Yanhua Zheng ◽  
Fei Jiang ◽  
Shuzhang Feng ◽  
Zhe Cai ◽  
Yang Shen ◽  
...  
Keyword(s):  
Long Range ◽  
Eastern China ◽  
Long Range Transport ◽  
China Seas ◽  
Southeastern China ◽  
Coastal Cities ◽  
Range Transport ◽  
Eastern China Seas

The Spatiotemporal Evolution of Urban Impervious Surface for Chengdu, China

2021 ◽  
Vol 87 (7) ◽  
pp. 491-502
Author(s):  
Mujie Li ◽  
Zezhong Zheng ◽  
Mingcang Zhu ◽  
Yue He ◽  
Jun Xia ◽  
...  
Keyword(s):  
Neural Networks ◽  
Growth Rate ◽  
Urban Area ◽  
Landsat Imagery ◽  
Impervious Surface ◽  
Kappa Coefficient ◽  
Spatiotemporal Evolution ◽  
Urban Impervious Surface ◽  
The Past ◽  
Secondary Industry

The spatiotemporal evolution of an impervious surface (IS) is significant for urban planning. In this paper, the IS was extracted and its spatiotemporal evolution for the Chengdu urban area was analyzed based on Landsat imagery. Our experimental results indicated that convolutional neural networks achieved the better performance with an overall accuracy of 98.32%, Kappa coefficient of 0.98, and Macro F1 of 98.28%, and the farmland was replaced by IS from 2001 to 2017, and the IS area (ISA) increased by 51.24 km2; that is, the growth rate was up to 13.8% in sixteen years. According to the landscape metrics, the IS expanded and agglomerated into large patches from small fragmented ones. In addition, the gross domestic product change of the secondary industry was similar to the change of ISA between 2001 and 2017. Thus, the spatiotemporal evolution of IS was associated with the economic development of the Chengdu urban area in the past sixteen years.

scholarly journals Spatiotemporal Variance Assessment of Urban Rainstorm Waterlogging Affected by Impervious Surface Expansion: A Case Study of Guangzhou, China

2018 ◽  
Vol 10 (10) ◽  
pp. 3761 ◽  
Author(s):  
Huafei Yu ◽  
Yaolong Zhao ◽  
Yingchun Fu ◽  
Le Li
Keyword(s):  
Spatial Pattern ◽  
Urban Renewal ◽  
Impervious Surface ◽  
City Centre ◽  
Impervious Surfaces ◽  
Surface Expansion ◽  
The Impact ◽  
Gwr Model ◽  
Runoff Plots

Urban rainstorm waterlogging has become a typical “city disease” in China. It can result in a huge loss of social economy and personal property, accordingly hindering the sustainable development of a city. Impervious surface expansion, especially the irregular spatial pattern of impervious surfaces, derived from rapid urbanization processes has been proven to be one of the main influential factors behind urban waterlogging. Therefore, optimizing the spatial pattern of impervious surfaces through urban renewal is an effective channel through which to attenuate urban waterlogging risk for developed urban areas. However, the most important step for the optimization of the spatial pattern of impervious surfaces is to understand the mechanism of the impact of urbanization processes, especially the spatiotemporal pattern of impervious surfaces, on urban waterlogging. This research aims to elucidate the mechanism of urbanization’s impact on waterlogging by analysing the spatiotemporal characteristics and variance of urban waterlogging affected by urban impervious surfaces in a case study of Guangzhou in China. First, the study area was divided into runoff plots by means of the hydrologic analysis method, based on which the analysis of spatiotemporal variance was carried out. Then, due to the heterogeneity of urban impervious surface effects on waterlogging, a geographically weighted regression (GWR) model was utilized to assess the spatiotemporal variance of the impact of impervious surface expansion on urban rainstorm waterlogging during the period from the 1990s to the 2010s. The results reveal that urban rainstorm waterlogging significantly expanded in a dense and circular layer surrounding the city centre, similar to the impervious surface expansion affected by urbanization policies. Taking the urban runoff plot as the research unit, GWR has achieved a good modelling effect for urban storm waterlogging. The results show that the impervious surfaces in the runoff plots of the southeastern part of Yuexiu, the southern part of Tianhe and the western part of Haizhu, which have experienced major urban engineering construction, have the strongest correlation with urban rainstorm waterlogging. However, for different runoff plots, the impact of impervious surfaces on urban waterlogging is quite different, as there exist other influence factors in the various runoff plots, although the impervious surface is one of the main factors. This result means that urban renewal strategy to optimize the spatial pattern of impervious surfaces for urban rainstorm waterlogging prevention and control should be different for different runoff plots. The results of the GWR model analysis can provide useful information for urban renewal strategy-making.

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