Risk management of land subsidence in Shanghai

Wang, Hanmei; Wang, Yao; Jiao, Xue; Qian, Guangren

doi:10.1080/19443994.2013.826337

Cited by 25 publications

(21 citation statements)

References 4 publications

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“…(5) In terms of scale effect, groundwater exploitation and sea-level rise are the main impacting factors of land subsidence in Shanghai. This conclusion is consistent with the results of Wang [4], Li et al [57], and Xu et al [9]. (6) The analysis of spatial distribution is rare in the existing studies on land subsidence in Shanghai, and most studies do not discuss spatial information.…”

Section: Discussionsupporting

confidence: 91%

“…Subsidence negatively impacts the living environment of human beings, regional ecological security, and the sustainable development of a region. Land subsidence has occurred in more than 50 countries and regions since it was first discovered in Niigata, Japan in 1898 [4]. There are many countries with substantial land subsidence, such as Japan, the United States, Mexico, Italy, Thailand, and China.…”

Section: Introductionmentioning

confidence: 99%

“…Both of these reactions cause land subsidence [21][22][23][24] by affecting the consolidation of the soil. Related studies found that groundwater exploitation is one of the major causes of land subsidence in Shanghai [4]. (2) Sea-level rise is an increase in global mean sea level as a result of an increase in the volume of water in the oceans.…”

Section: Introductionmentioning

confidence: 99%

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Impacting Factors and Temporal and Spatial Differentiation of Land Subsidence in Shanghai

Shi

Cao

2018

Sustainability

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This paper uses Grey Correlation Degree Analysis (GCDA) to obtain and compare the relationships between major impacting factors and land subsidence, and finds the spatial characteristics of subsidence in the urban centre by Exploratory Spatial Data Analysis (ESDA). The results show the following: (1) Annual ground subsidence in Shanghai has occurred in four stages: slow growth in the 1980s, rapid growth in the 1990s, gradual decline in the first decade of the 21st century, and steady development currently. (2) In general, natural impact factors on land subsidence are more significant than social factors. Sea-level rise has the most impact among the natural factors, and permanent residents have the most impact among the social factors. (3) The average annual subsidence of the urban centre has undergone the following stages: “weak spatial autocorrelation” → “strong spatial autocorrelation” → “weak spatial autocorrelation”. (4) The “high clustering” spatial pattern in 1978 gradually disintegrated. There has been no obvious spatial clustering since 2000, and the spatial distribution of subsidence tends to be discrete and random.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impacting Factors and Temporal and Spatial Differentiation of Land Subsidence in Shanghai

Shi

Cao

2018

Sustainability

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“…Coastal subsidence causes damages of billions of dollars per year (Wang et al, 2014) and, because of its impact on society and economy, it is one of the most challenging research fields till today. Over the last decades, significant progress on land subsidence knowledge and control have been achieved in more developed countries or regions in Europe, USA, Japan and Shanghai in China.…”

mentioning

confidence: 99%

Advances and Practices on the Research, Prevention and Control of Land Subsidence in Coastal Cities

Yan

Yang

et al. 2020

Acta Geologica Sinica (Eng)

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Land subsidence severely threatens most of the coastal plains around the world where high productive industrial and agricultural activities and urban centers are concentrated. Coastal subsidence damages infrastructures and exacerbates the effect of the sea‐level rise at regional scale. Although it is a well‐known process, there is still much more to be improved on the monitoring, mapping and modeling of ground movements, as well as the understanding of controlling mechanisms. The International Geoscience Programme recently approved an international project (IGCP 663) aiming to bring together worldwide researchers to share expertise on subsidence processes typically occurring in coastal areas and cities, including basic research, monitoring and observation, modelling and management. In this paper, we provide the research communities and potential stakeholders with the basic information to join the participating teams in developing this project. Specifically, major advances on coastal subsidence studies and information on well‐known and new case studies of land subsidence in China, Italy, The Netherlands, Indonesia, Vietnam and Thailand are highlighted and summarized. Meanwhile, the networking, dissemination, annual meeting and field trip are briefly introduced.

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“…The analytical hierarchy process and sensitivity analysis (AHP-SA) could be used to evaluated the risk of land subsidence, with weighting and scoring from multicriteria parameters of causes of land subsidence [11]. To determine the weight of all criteria in the assessment of the hazard of land subsidence, it is done by fuzzy AHP so that the consistency of the matrix and convergence speed have a high degree of accuracy [7]. To solve the problem of assessment matrix consistency and factor weight uncertainty could be used an improved fuzzy analytic hierarchy process, so that it could evaluate the risk of land subsidence and the related preventive measures are adopted [8].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Land Subsidence Impact at Lowland Areas Using Analitycal Hierarchy Process (AHP) Method

et al. 2018

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Land subsidence is a problem that often occurs in lowland areas. The impact of land subsidence causes losses in the economic, physical, ecological and social aspects. The impact of land subsidence could be felt directly and indirectly by the people, so an evaluation of the most frequent (dominant) impacts needs to be done. One method that could be use for assesment using AHP, using pairwise comparisons can be obtained the most frequent (dominant) land subsidence impact. From the results of the study indicate that the direct impact due to land subsidence (weight 0.608)) is more dominant than the indirect impact (0.392). Based on the value of each parameter, three dominant land subsidence impacts are infrastructure damage with a value of 0.387, an increase in the cost of infrastructure construction and maintenance with a value of 0.193 and a flood of 0.129. The results of observations and ground checking at the Tanjung Api-Api area, there was damage to several floors of residents' homes, damage to road and tilt of trees which were damaged in the economic field was the most dominant impact. While floods and seawater intrusion are not dominant in this area because the area is located in the tidal area.

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Risk management of land subsidence in Shanghai

Cited by 25 publications

References 4 publications

Impacting Factors and Temporal and Spatial Differentiation of Land Subsidence in Shanghai

Impacting Factors and Temporal and Spatial Differentiation of Land Subsidence in Shanghai

Advances and Practices on the Research, Prevention and Control of Land Subsidence in Coastal Cities

Evaluation of Land Subsidence Impact at Lowland Areas Using Analitycal Hierarchy Process (AHP) Method

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