Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta

Jiang, Yefeng; Huang, Mingxiang; Chen, Xueyao; Wang, Zhige; Xiao, Liujun; Xu, Kang; Zhang, Shuai; Wang, Mingming; Xu, Zhe; Shi, Zhou

doi:10.1016/j.scitotenv.2021.151982

Cited by 28 publications

(11 citation statements)

References 28 publications

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“…Land use/-cover change (LUCC) models are effective tools to analysis the process of land-use dynamics and support decision makings (Verburg et al, 2004). By establishing the relationship between land use dynamic and its driving factors, LUCC models explicitly simulate the spatiotemporal configuration of land use/-cover change (LULC) (Santé et al, 2010), which are widely applied to issues related to climate change, ecosystem services, disaster prevention, territorial planning (Feng et al, 2011;Lawrence et al, 2016;Liang et al, 2018;Dai et al, 2020;Jiang et al, 2021), and etc.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

Geng

Cheng

Shen

et al. 2023

Preprint

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Cellular automata (CA) based models are among the practical tools to simulate the spatiotemporal evolution of landscape induced by the land use/-cover change (LUCC). Existing models have been struggling to comprehensively handle the intricate spatiotemporal driving relationships amid the nonlinear LUCC process, inevitably leaving obstacles to promote the simulation accuracy. Besides, the landscape patterns, which are both the causes and consequences of various ecological processes, are not considered in most models, making them struggled to support the decision making on regional development strategies. Aiming at overcoming these obstacles, a novel land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution (STAPLE) is proposed in this paper. A potential generating module establishing the nonlinear spatiotemporal driving relationship and a spatial allocating module employing a landscape-based CA are integrated for a more realistic LUCC simulation. As a case study, the proposed model is applied in Zhengzhou, China to assess its performance. It is indicated that the STAPLE model achieved a higher simulation accuracy compared with the degraded models. Moreover, the landscape properties, i.e., the compactness and proximity of the patches, are effectively manipulated, which is verified by calculating the corresponding landscape indices. Furthermore, the STAPLE model is applied to explore a low-ecological-risk landscape under different future scenarios in 2035 and 2050. An infilling and remote development strategy is beneficial for Zhengzhou to control the landscape ecological risk induced by urban expansion. The STAPLE model provides a reproducible tool for policy-makers to support decision-making and achieve sustainable development.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

Geng

Cheng

Shen

et al. 2023

Preprint

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“…It is worth noting that industrial contaminated sites not only cause the serious pollution of soil, groundwater and surface water, but also directly endanger public health. In recent years, there have been lots of safety incidents caused by contaminated sites with heavy metals [22][23]. For example, a serious pollution incident occurred in a high school campus in Changzhou, China in September 2015.…”

Section: Pollution Characteristics Of Heavy Metals In Contaminated Sitesmentioning

confidence: 99%

The Removal of Heavy Metals by Low Molecular Organic Acids (LMWOAs) from Contaminated Soils and Key Influencing Factors: A Literature Review

Gao¹,

Fu²

2022

Pol. J. Environ. Stud.

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With the widespread consensus on the sustainable development of economy and society, the environmental issues of heavy metal pollution in soils have received considerable attention. Confronted with these issues, soil washing has been widely studied, due to its advantages of simple operation, wide application, high efficiency and low costs. However, reducing the secondary contamination of the washing agents and selecting the best washing agents have been a barrier to the development of washing technology. Based on this background, this study comprehensively investigated the concentration levels of heavy metals in different types of contaminated sites, analyzed the current research status in this field, and pointed out the urgency and challenge of soil remediation for heavy metal pollution. Meanwhile, the advantages and disadvantages of different remediation techniques and their application case studies for heavy metal contaminated soils were summarized. In addition, the washing effects of different types of low molecular weight organic acids on heavy metal pollutants in soils and their key influencing factors were also fully discussed. Finally, the limitation in this field area and future research directions were pointed out. This review would be expected to provide practical engineering application and development for soil washing.

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“…The application of the FLUS model to four development scenarios for 2050 showed that the model can effectively simulate future LUCC. The PLUS model was developed by adapting the FLUS model [31,33] to describe the forces regulating the dynamics of each land type conversion and their relative strengths [33][34][35]. The PLUS model also has the most sound scientific foundation among the traditional tools [31].…”

Section: Introductionmentioning

confidence: 99%

Identifying the Drivers of Habitat Quality in Beizhen with Consider Arable Land Protection Based on the PLUS-InVEST Model

Han¹,

Li²,

Wang³

et al. 2023

Pol. J. Environ. Stud.

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Rapid economic development and implementation of environmental policies have greatly changed land-use/ land-cover (LULC) at different periods, and effective evaluation of spatiotemporal progression about habitat quality (HQ) influenced by LULC changes at a finer spatial scale is meaningful for sustainable development. This study coupled the PLUS and InVEST models to analyze the influence of various factors on LULC, and then obtain the influence of these changes on HQ from 2000 to 2020.Based on this analysis, that scenario has been simulated for 2040: the arable land protection scenario (APS) and the natural increase scenario (NIS). The results showed that: (1) LULC between 2000-2020 was dominated by arable and garden land. (2) HQ improved steadily, particularly between 2011-2020. The main natural factors influencing HQ were elevation and distance to water, whereas the important anthropogenic factors were GDP and distance to secondary roads. (3) The simulated HQ indices of APS and NIS in 2040 were 0.501 and 0.525; the largest differences were in forestland and dryland. The urban expansion area in the APS was 1.62 km 2 less than NIS. These results indicate the need for government to adopt reasonable approaches to managing areas of different HQ.

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Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta

Cited by 28 publications

References 28 publications

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution

The Removal of Heavy Metals by Low Molecular Organic Acids (LMWOAs) from Contaminated Soils and Key Influencing Factors: A Literature Review

Identifying the Drivers of Habitat Quality in Beizhen with Consider Arable Land Protection Based on the PLUS-InVEST Model

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