Quantifying security and resilience of Chinese coastal urban ecosystems

Nathwani, Jatin; Lu, Xinhuan; Chun-you, WU; Guo, Fei; Qin, Xiaonan

doi:10.1016/j.scitotenv.2019.03.322

Cited by 82 publications

(30 citation statements)

References 57 publications

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“…The other theoretical framework model, such as driving forcestate-response (DSR) model, driving force-press-stateimpact-response (DPSIR) model, and driving forcespressure-state-exposure-response (DPSER) model, are the evolutionary variants based on PSR model (Pang and Wang 2014;Chen and Zhou 2005;Zhu and Fu 2015). Nathwani et al (2019) expanded DSR model to DPSIR with five factors of driving force (D), pressure (P), state (S), impact (I), and response (R) and pointed that quantifying the resilience of an ecological system requires a detailed understanding of the vulnerabilities and interactions within a complex web of interconnected social, technological, and economic networks. DPSIR model can help to identify the different roles these factors play in the urban ecological security system.…”

Section: Eco-security Theory Researchmentioning

confidence: 99%

A research on urban eco-security evaluation and analysis: complex system’s brittle structure model

Liu

Zhong-hai

2020

Environ Sci Pollut Res

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Urban ecosystem has become a critical part of ecological security and draws much attention worldwide. It is both a result of natural ecological system development, and also an inevitable outcome of human ecological system development within a certain stage, with the objective of identifying the possible improvement space for unban ecological security evaluation from complex system perspective. Based on the brittle structure model and set pair theory, this paper firstly explored the main research methods of urban ecological security theory and its characteristics, then conducted a theory of complex system brittleness to analyze the urban ecological security brittle factors, brittle primitives, and brittle structure. Furthermore, it conducted a model of urban ecological system brittleness correlation entropy together with a set pair analysis method to discuss its brittleness. And finally, an ecological safety evaluation has been presented based on the empirical case in Chengdu City of China. The theoretical and empirical analysis shows that the brittle correlation entropy of natural subsystem in urban ecological security is the biggest one. The risks from natural subsystem collapse can easily trigger the brittleness of the entire urban system. The corresponding maximum brittle fluctuation entropy is from economic subsystem; it has a largest impact on the entropy change of urban ecosystem. The way of reducing the uncertainty of urban ecological risks is to lower difference degree coefficient in the system. Relevant decision makers should consider to reduce the increasing degree of entropy and eliminate the fluctuation of the brittle factors. Thus, the threats or risks of urban ecological system can be within the acceptable range and under control. An integrated system management combing with brittleness characters of natural, economics, and social subsystem is necessary. It is helpful for the ecological security construction.

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Section: Eco-security Theory Researchmentioning

confidence: 99%

A research on urban eco-security evaluation and analysis: complex system’s brittle structure model

Liu

Zhong-hai

2020

Environ Sci Pollut Res

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“…Especially in developing countries, the contradiction between rapid urban development and the fragile ecoenvironment has become increasingly acute under the background of urgent development requirements [4,5]. The eco-environment is an intricate community formed by mutual influences and restrictions among various ecological factors via material exchanges, energy flows and information transmissions [6,7]. The development of accurate methods for assessing urban ecological-environmental quality (UEEQ) has become an important topic in the current scientific community [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Water Benefit-Based Ecological Index for Urban Ecological Environment Quality Assessments

Jiao

Sun

Zhang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Urbanization and climate change cause the urban ecological environment to become increasingly dependent on water. However, open water areas and green spaces in cities are constantly decreasing, making water resources increasingly scarce. There is an urgent need for a method that aligns with the current urban status and can quickly assess the urban ecologicalenvironmental quality (UEEQ). Traditional UEEQ methods have abandoned the water factor, neglecting the influence of water on the ecological environment. In modern cities, water, which guarantees the operation and maintenance of the urban ecological environment, must be considered in the UEEQ system. Therefore, we propose a water benefit-based ecological index (WBEI). In the formulation of the WBEI, we integrate a water eco-factor, the thermal environment and the land cover type to represent the surface ecological environment. We first construct a surface potential water abundance index (SPWI) to describe the spatial distribution of water. The combination of the SPWI and the normalized difference latent heat index (NDLI) allows the WBEI to better evaluate the UEEQ around water areas. Then, we choose the land surface temperature (LST) to represent the thermal environment. To represent the land cover type, the ratio vegetation index (RVI) and the normalized difference soil index (NDSI) are adopted in the WBEI. Finally, we use an entropy-based fusion method to fuse these indicators and obtain the WBEI values. The performance of the WBEI is tested using eight datasets with a variety of environmental characteristics. The results show that 75% of the WBEI results are consistent with the EI values. The correlation coefficient between the WBEI and EI is 0.8883, which is significantly better than those of the other methods. The research shows that the UEEQ of the Qingdao West Coast Economic New Zone is declining continuously at a rate of 3.7% per year. From 2013 to 2017, the percentage of areas with good environments decreased by 21.46%, and the percentage of areas with poor environments increased by 12.76%. The UEEQ inside the city deteriorated radially outward along the main traffic route, the UEEQ in the suburbs did not change significantly, and the UEEQ in the water areas deteriorated significantly. These relevant research results can provide quantitative information for the green sustainable development of cities.

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“…Therefore, the construction of resilient cities must promote the balanced development of various scales and regions and improve overall resilience [16,17]. Many studies exist on evaluating urban security resilience from an objective perspective [18][19][20]. However, studies that explore the security and resilience between cities and at all levels within cities from the perspective of the public's subjective perception remain limited.…”

Section: Introductionmentioning

confidence: 99%

Perception of Urban Public Safety of Floating Population with Higher Education Background: Evidence from Urban China

Dang

Zhang

et al. 2020

IJERPH

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The Corona Virus Disease 2019 (COVID-19) outbreak caused people to pay significant attention to urban public safety issues. The city’s public safety is an important part of the high-quality development and the construction of a liveable city. To understand whether and how factors at different levels affect the public security of particular group of people in a city. This study uses data from an extensive questionnaire survey by the Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD) in 11 cities. This study uses the descriptive statistical method and Hierarchical Linear Model (HLM) to study the perception of urban public safety (PUPS) and its influencing factors of floating population with higher education background (FPHEB) from the three levels of city–district–individual. The study finds that (1) when FPHEB is placed in a district and a city at the same time, the influence of the city on PUPS is greater than that of the district; (2) the urban’s infrastructure security and economic development security positively affect the floating population; (3) the GDP and the number of stadiums and hospitals of the district are significantly positively correlated with the PUPS of the FPHEB, whereas the increase of population density and road density have negative effects; (4) FPHEB with distinct attributes will make their PUPS also different. This study is not only a reflection on the construction of urban public security after the COVID-19 outbreak but can also be used as a theoretical reference for the government in constructing urban public security. This study also enriches the research on the floating population and makes good scientific suggestions for the city’s PUPS of the FPHEB. The research results can provide a better reference for the government’s urban safety construction from the perspective of residents’ perception.

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Quantifying security and resilience of Chinese coastal urban ecosystems

Cited by 82 publications

References 57 publications

A research on urban eco-security evaluation and analysis: complex system’s brittle structure model

A research on urban eco-security evaluation and analysis: complex system’s brittle structure model

Water Benefit-Based Ecological Index for Urban Ecological Environment Quality Assessments

Perception of Urban Public Safety of Floating Population with Higher Education Background: Evidence from Urban China

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