The project MAGPIan, funded by the European Commission under the program LIFE＋2008, aims to develop and implement an optimal strategy for integral groundwater investigation and efficient remediation of key sources of...The project MAGPIan, funded by the European Commission under the program LIFE＋2008, aims to develop and implement an optimal strategy for integral groundwater investigation and efficient remediation of key sources of pollution for the whole inner city area. The first investigations included descriptions of the complex hydro-geological system of the eight aquifers, drilling of monitoring wells and set up of the conceptual contaminant model. A conceptual contaminant model was developed to describe the status quo of the present contaminant distribution, as well as the basic processes controlling contaminant migration within the observed aquifers. This included the characterization of redox conditions and natural chlorinated hydrocarbons degradation processes, as well as age dating, forensic interpretations with respect to the contaminant origin, and determination of radioactive and stable isotopes. Further on, a numerical unsteady groundwater flow and contaminant transport model were developed, which enabled a quantitative description of the mass balance within the project area. The unsteady numerical model provided detection of migration paths in the valley of Stuttgart and identification of key sources of pollution.展开更多
Taking the semi-arid area of Yulin City as an example, this study improves the vulnerability assessment methods and techniques at the county scale using the VSD(Vulnerability Scoping Diagram) assessment framework, int...Taking the semi-arid area of Yulin City as an example, this study improves the vulnerability assessment methods and techniques at the county scale using the VSD(Vulnerability Scoping Diagram) assessment framework, integrates the VSD framework and the SERV(Spatially Explicit Resilience-Vulnerability) model, and decomposes the system vulnerability into three dimensions, i.e., exposure, sensitivity and adaptive capacity. Firstly, with the full understanding of the background and exposure risk source of the research area, the vulnerability indexes were screened by the SERV model, and the index system was constructed to assess the characteristics of the local eco-environment. Secondly, with the aid of RS and GIS, this study measured the spatial differentiation and evolution of the social-ecological systems in Yulin City during 2000–2015 and explored intrinsic reasons for the spatial-temporal evolution of vulnerability. The results are as follows:(1) The spatial pattern of Yulin City's SESs vulnerability is "high in northwest and southeast and low along the Great Wall". Although the degree of system vulnerability decreased significantly during the study period and the system development trend improved, there is a sharp spatial difference between the system vulnerability and exposure risk.(2) The evolution of system vulnerability is influenced by the risk factors of exposure, and the regional vulnerability and the spatial heterogeneity of exposure risk are affected by the social sensitivity, economic adaptive capacity and other factors. Finally, according to the uncertainty of decision makers, the future scenarios of regional vulnerability are simulated under different decision risks by taking advantage of the OWA multi-criteria algorithm, and the vulnerability of the regional system under different development directions was predicted based on the decision makers' rational risk interval.展开更多
文摘The project MAGPIan, funded by the European Commission under the program LIFE＋2008, aims to develop and implement an optimal strategy for integral groundwater investigation and efficient remediation of key sources of pollution for the whole inner city area. The first investigations included descriptions of the complex hydro-geological system of the eight aquifers, drilling of monitoring wells and set up of the conceptual contaminant model. A conceptual contaminant model was developed to describe the status quo of the present contaminant distribution, as well as the basic processes controlling contaminant migration within the observed aquifers. This included the characterization of redox conditions and natural chlorinated hydrocarbons degradation processes, as well as age dating, forensic interpretations with respect to the contaminant origin, and determination of radioactive and stable isotopes. Further on, a numerical unsteady groundwater flow and contaminant transport model were developed, which enabled a quantitative description of the mass balance within the project area. The unsteady numerical model provided detection of migration paths in the valley of Stuttgart and identification of key sources of pollution.
基金National Natural Science Foundation of China,No.41571163Northwest University Doctorate Dissertation of Excellence Funds,No.YYB17016
文摘Taking the semi-arid area of Yulin City as an example, this study improves the vulnerability assessment methods and techniques at the county scale using the VSD(Vulnerability Scoping Diagram) assessment framework, integrates the VSD framework and the SERV(Spatially Explicit Resilience-Vulnerability) model, and decomposes the system vulnerability into three dimensions, i.e., exposure, sensitivity and adaptive capacity. Firstly, with the full understanding of the background and exposure risk source of the research area, the vulnerability indexes were screened by the SERV model, and the index system was constructed to assess the characteristics of the local eco-environment. Secondly, with the aid of RS and GIS, this study measured the spatial differentiation and evolution of the social-ecological systems in Yulin City during 2000–2015 and explored intrinsic reasons for the spatial-temporal evolution of vulnerability. The results are as follows:(1) The spatial pattern of Yulin City's SESs vulnerability is "high in northwest and southeast and low along the Great Wall". Although the degree of system vulnerability decreased significantly during the study period and the system development trend improved, there is a sharp spatial difference between the system vulnerability and exposure risk.(2) The evolution of system vulnerability is influenced by the risk factors of exposure, and the regional vulnerability and the spatial heterogeneity of exposure risk are affected by the social sensitivity, economic adaptive capacity and other factors. Finally, according to the uncertainty of decision makers, the future scenarios of regional vulnerability are simulated under different decision risks by taking advantage of the OWA multi-criteria algorithm, and the vulnerability of the regional system under different development directions was predicted based on the decision makers' rational risk interval.
