This paper presents the assumptions and the preliminary results of the project entitled"Extension of the system for man-agement of post-mining areas in the Silesian province-OPI TPP 2.0".The overall objectiv...This paper presents the assumptions and the preliminary results of the project entitled"Extension of the system for man-agement of post-mining areas in the Silesian province-OPI TPP 2.0".The overall objective of the project is to develop and implement a new e-service in the form of an open-access information system on post-mining areas in the Silesia Voivodeship.The range of information and tools planned to be made available is dedicated to assessing the possibilities and potential for economic and social reuse of these areas.The basic and extremely important stage of the project was to identify and collect data on post-industrial sites located in the Silesia Province.The information contained in this article illustrates the activities that were carried out in the initial phase of the project in which unmanned aerial vehicles(UAV)were used to identify and acquire information on brownfields(including post-mining sites)entered into the developed common database.The article assesses the possibility of using drones in an enterprise of such a large scale and also points out the advantages of using this method.The article describes the methodology and scope of work related to the acquisition of data that can be collected using unmanned aerial vehicle(UAV)covering surface infrastructure and land use of brownfields,allowing for the identification of negative phenomena on their site as well as monitoring of naturally occurring processes.Based on fieldworks experience and the results of numerous analyses carried out for different types of brownfields(e.g.post-mining areas,former transport bases,settling ponds,etc.),paper presents the advantages and benefits of drones(UAN)over other data sources used to monitor changes in an area.The article is based on the results of an inventory of over 600 brownfields located in Upper Silesia region(Silesia Voivodeship,Poland).展开更多
Antibiotic resistance is an escalating global health concern,exacerbated by the pervasive presence of antibiotic resistance genes(ARGs)in natural environments.The Yangtze River,the world's third-longest river,trav...Antibiotic resistance is an escalating global health concern,exacerbated by the pervasive presence of antibiotic resistance genes(ARGs)in natural environments.The Yangtze River,the world's third-longest river,traversing areas with intense human activities,presents a unique ecosystem for studying the impact of these genes on human health.Here,we explored ARGs in the Yangtze River,examining 204 samples from six distinct habitats of approximately 6000 km of the river,including free-living and particle-associated settings,surface and bottom sediments,and surface and bottom bank soils.Employing shotgun sequencing,we generated an average of 13.69 Gb reads per sample.Our findings revealed a significantly higher abundance and diversity of ARGs in water-borne bacteria compared to other habitats.A notable pattern of resistome coalescence was observed within similar habitat types.In addition,we developed a framework for ranking the risk of ARG and a corresponding method for calculating the risk index.Applying them,we identified water-borne bacteria as the highest contributors to health risks,and noted an increase in ARG risks in particle-associated bacteria correlating with heightened anthropogenic activities.Further analysis using a weighted ARG risk index pinpointed the ChengdueChongqing and Yangtze River Delta urban agglomerations as regions of elevated health risk.These insights provide a critical new perspective on ARG health risk assessment,highlighting the urgent need for strategies to mitigate the impact of ARGs on human health and to preserve the ecological and economic sustainability of the Yangtze River for future human use.展开更多
文摘This paper presents the assumptions and the preliminary results of the project entitled"Extension of the system for man-agement of post-mining areas in the Silesian province-OPI TPP 2.0".The overall objective of the project is to develop and implement a new e-service in the form of an open-access information system on post-mining areas in the Silesia Voivodeship.The range of information and tools planned to be made available is dedicated to assessing the possibilities and potential for economic and social reuse of these areas.The basic and extremely important stage of the project was to identify and collect data on post-industrial sites located in the Silesia Province.The information contained in this article illustrates the activities that were carried out in the initial phase of the project in which unmanned aerial vehicles(UAV)were used to identify and acquire information on brownfields(including post-mining sites)entered into the developed common database.The article assesses the possibility of using drones in an enterprise of such a large scale and also points out the advantages of using this method.The article describes the methodology and scope of work related to the acquisition of data that can be collected using unmanned aerial vehicle(UAV)covering surface infrastructure and land use of brownfields,allowing for the identification of negative phenomena on their site as well as monitoring of naturally occurring processes.Based on fieldworks experience and the results of numerous analyses carried out for different types of brownfields(e.g.post-mining areas,former transport bases,settling ponds,etc.),paper presents the advantages and benefits of drones(UAN)over other data sources used to monitor changes in an area.The article is based on the results of an inventory of over 600 brownfields located in Upper Silesia region(Silesia Voivodeship,Poland).
基金supported by the National Natural Science Foundation of China[Grant NO.32071614 and U23A2059]the Starting Research Fund and Opening Research Fund from Key Laboratory of Aquatic Botany and Watershed Ecology,Chinese Academy of Sciences[Grant NO.Y9519802 and E0520202]。
文摘Antibiotic resistance is an escalating global health concern,exacerbated by the pervasive presence of antibiotic resistance genes(ARGs)in natural environments.The Yangtze River,the world's third-longest river,traversing areas with intense human activities,presents a unique ecosystem for studying the impact of these genes on human health.Here,we explored ARGs in the Yangtze River,examining 204 samples from six distinct habitats of approximately 6000 km of the river,including free-living and particle-associated settings,surface and bottom sediments,and surface and bottom bank soils.Employing shotgun sequencing,we generated an average of 13.69 Gb reads per sample.Our findings revealed a significantly higher abundance and diversity of ARGs in water-borne bacteria compared to other habitats.A notable pattern of resistome coalescence was observed within similar habitat types.In addition,we developed a framework for ranking the risk of ARG and a corresponding method for calculating the risk index.Applying them,we identified water-borne bacteria as the highest contributors to health risks,and noted an increase in ARG risks in particle-associated bacteria correlating with heightened anthropogenic activities.Further analysis using a weighted ARG risk index pinpointed the ChengdueChongqing and Yangtze River Delta urban agglomerations as regions of elevated health risk.These insights provide a critical new perspective on ARG health risk assessment,highlighting the urgent need for strategies to mitigate the impact of ARGs on human health and to preserve the ecological and economic sustainability of the Yangtze River for future human use.
