Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China

Wang, Jun; Gao, Wei; Xu, Shiyuan; Yu, Lizhong

doi:10.1007/s10584-012-0468-7

Cited by 246 publications

(182 citation statements)

References 42 publications

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“…Furthermore, we found that the adaptation and mitigation programs to land subsidence were not fully integrated with development policies. This is common as literatures [44] [53] show that in many cities, the governments do not pay much attention to the land subsidence issue.…”

Section: Discussionmentioning

confidence: 99%

“…This is because land subsidence is characterized as a sleeping, or silent, disaster [6], which continuously happens over a long period and beyond a single phase of disaster management. As the impacts of the land subsidence are serious and will be worsening by the combination with climate change [44] [45], the public authorities and land users must select proper means to increase their capacity to adapt to the land subsidence.…”

Section: Discussionmentioning

confidence: 99%

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Fighting the Ignorance: Public Authorities’ and Land Users’ Responses to Land Subsidence in Indonesia

Saputra¹,

Hartmann²,

Zoomers³

et al. 2017

AJCC

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Land subsidence can have a considerable impact on the socio-economic viability of areas. In urban areas, land subsidence tends to damage buildings and infrastructures gradually, while in rural peat land it slowly destroys vegetation. The damages will worsen since climate change has further implications for the areas affected by land subsidence. In Indonesia, the response to land subsidence varies in different areas in terms of awareness, urgency and action on the part of both public authorities and land users. This paper systematically investigates these varied responses in urban and rural peat land areas. Interviews with experts and surveys of 330 land users in selected sub-districts were conducted and further supplemented by focus group discussions. We found that both the public authorities as well as the land users' responses were considered as of limited value to contest land subsidence. We suggest that the endorsement of land users' response into governmental policies would make a significant difference in improving land subsidence management.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Fighting the Ignorance: Public Authorities’ and Land Users’ Responses to Land Subsidence in Indonesia

Saputra¹,

Hartmann²,

Zoomers³

et al. 2017

AJCC

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“…There are many factors influencing urban waterlogging such as topography [16,17], land subsidence [18,19], irrational land use planning [20][21][22] and additional features. Among these factors, the increase in impervious surface area, extreme rainstorms and poor drainage infrastructure were universally acknowledged as the three primary driving forces of urban waterlogging [23].…”

Section: Introductionmentioning

confidence: 99%

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Zhang

Cheng

et al. 2018

Sustainability

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An impervious surface is considered one of main factors affecting urban waterlogging. Previous studies found that spatial pattern (composition and configuration) of impervious surfaces affected urban waterlogging. However, their relative importance remains unknown, and the scale-effect of the spatial pattern on urban waterlogging has been ignored. To move forward, our research studied the relationship between spatial patterns on the impervious surface and its subcategories (building and pavement) on urban waterlogging risk spots using Pearson correlation, partial redundancy analysis and performed at three grid scales (1 km × 1 km, 3 km × 3 km, 5 km × 5 km) and the catchment scale based on different spatial resolution land cover maps (2 m, 10 m and 30 m). We identified positively-correlated metrics with urban waterlogging risk spots, such as the composition of impervious surface (i.e., total impervious surface, building, pavement) and the aggregation metric of the total impervious surface at most scales, as well as two negatively correlated metrics (i.e., proximity metric of building, fragmentation metric of total impervious surface). Furthermore, the total variance of urban waterlogging risk spots explained by the spatial pattern of the total impervious surface and its subcategories increased with studied grid and catchment scales while decreasing from a fine to a coarse resolution. The relative contribution of the impervious surface composition and configuration to the variation of urban waterlogging risk spots varied across scales and among impervious surface types. The composition contributed more than the configuration did for the total impervious surface at both grid and catchment scales. Similar to total impervious surface, the composition of buildings was more important than its configuration was at all the grid scales, while the configuration of buildings was more important at the catchment scale. Contrary to the total impervious surface, the configuration of pavement at both the grid and catchment scales mattered more than their compositions did. Furthermore, the composition of the building was more important than that of pavement, but its configuration mattered less. Our study could provide a multi-scale landscape perspective with detailed suggestions for controlling the area of impervious surface and optimizing its spatial configuration in urban waterlogging risk mitigation and urban planning.

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“…Altitude is mainly about 3-5 m above the sea level. However, the average tidal amplitude of the estuary system ranges from 2.4 to 4.6 m [39] and typhoons can essentially enhance the tide level. On 18 August 1997, the highest tide record of 5.99 m occurred in Shanghai.…”

Section: Study Areamentioning

confidence: 99%

“…The situation is exacerbated by land subsidence and sea level rising [39,40]. Shanghai has constructed massive seawalls and river levees since 1950 to reduce flood risk caused by over-flowing of rivers and seawaters.…”

Section: Study Areamentioning

confidence: 99%

Detecting Flood Variations in Shanghai over 1949–2009 with Mann-Kendall Tests and a Newspaper-Based Database

Wen

et al. 2015

Water

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Abstract:A valuable aid to assessing and managing flood risk lies in a reliable database of historical floods. In this study, a newspaper-based flood database for Shanghai (NFDS) for the period 1949-2009 was developed through a systematic scanning of newspapers. After calibration and validation of the database, Mann-Kendall tests and correlation analysis were applied to detect possible changes in flood frequencies. The analysis was carried out for three different flood types: overbank flood, agricultural waterlogging, and urban waterlogging. The compiled NFDS registered 146 floods and 92% of them occurred in the flood-prone season from June to September. The statistical analyses showed that both the annual flood and the floods in June-August increased significantly. Urban waterlogging showed a very strong increasing trend, probably because of insufficient capacity of urban drainage system and impacts of rapid urbanization. By contrast, the decrease in overbank flooding and the slight increase in agricultural waterlogging were likely because of the construction of river levees and seawalls and the upgrade of agricultural drainage systems, respectively. This OPEN ACCESSWater 2015, 7 1809 study demonstrated the usefulness of local newspapers in building a historical flood database and in assessing flood characterization.

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Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China

Cited by 246 publications

References 42 publications

Fighting the Ignorance: Public Authorities’ and Land Users’ Responses to Land Subsidence in Indonesia

Fighting the Ignorance: Public Authorities’ and Land Users’ Responses to Land Subsidence in Indonesia

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Detecting Flood Variations in Shanghai over 1949–2009 with Mann-Kendall Tests and a Newspaper-Based Database

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