Through the analysis of the overall landscape,revetments and roads and plant landscape,10 evaluation factors were determined.The comprehensive evaluation model for the campus space of Anhui Xinhua University was const...Through the analysis of the overall landscape,revetments and roads and plant landscape,10 evaluation factors were determined.The comprehensive evaluation model for the campus space of Anhui Xinhua University was constructed by analytic hierarchy process(AHP).The results showed that revetment safety,road convenience,plant disease resistance and campus activity space were important factors affecting the spatial form planning of campus.Through the comparative analysis of the collected data,optimization suggestions were put forward to provide a basis for the establishment of“people-oriented”campus open space system.展开更多
Analysis of a disaster event can identify strengths and weaknesses of the response implemented by the disaster management system;however, analysis does not typically occur until after the response phase is over.The re...Analysis of a disaster event can identify strengths and weaknesses of the response implemented by the disaster management system;however, analysis does not typically occur until after the response phase is over.The result is that knowledge gained can only benefit future responses rather than the response under investigation. This article argues that there is an opportunity to conduct analysis while the response is operational due to the increasing availability of information within hours and days of a disaster event. Hence, this article introduces a methodology for analyzing publicly communicated disaster response information in near-real-time. A classification scheme for the disaster information needs of the public has been developed to facilitate analysis and has led to the establishment of best observed practice standards for content and timeliness. By comparing the information shared with the public within days of a disaster to these standards,information gaps are revealed that can be investigated further. The result is identification of potential deficiencies in communicating critical disaster response information to the public at a time when they can still be corrected.展开更多
The nZEB objectives have raised the standard of building performance and changed the way in which buildings are designed and used.Although energy dynamic simulation tools are potentially the most suitable way for accu...The nZEB objectives have raised the standard of building performance and changed the way in which buildings are designed and used.Although energy dynamic simulation tools are potentially the most suitable way for accurately evaluating and forecasting the thermal performance,they need several data inputs and user’s knowledge that can affect the reliability of the results.It is precisely these two aspects that proved to be particularly critical,since the reliability of the ICT calculation tools has been widely proven in recent time.However,in order to foster credibility in sustainable architecture,bridging the gap between predicted and measured performance is pivotal to boost the building market towards energy efficiency and provide reliable data to inhabitant,investors and policy maker.The present research aims to identify and quantify the main factors that affect the energy performance gap through a detailed energy analysis carried out on a case study,which can be considered one of the first nearly zero energy residential complex built in Italy.Based on the analysis,the study identifies the main causes of the deviation between the calculated and measured data and demonstrates how it is possible to achieve very reliable models and,therefore,real buildings.Although the procedure traces a classic model calibration scheme,actually it consists of a verification of possible downstream errors mainly due to human factors,such as the provision of incorrect technical data or inappropriate operation.Some observations on the technical,management and regulatory gaps that may generate these errors are reported at the end of the study,together with practical suggestions that can provide effective solutions.展开更多
基金by National Undergraduate Innovation Training Program of Anhui Xinhua University in 2022(202212216012)Provincial Undergraduate Innovation Training Program of Anhui Xinhua University in 2021(AH202112216119)+1 种基金Key Research Project of Natural Science in Colleges and Universities of Anhui Province(2023AH051816)General Teaching Research Project of Anhui Province(2022jyxm665).
文摘Through the analysis of the overall landscape,revetments and roads and plant landscape,10 evaluation factors were determined.The comprehensive evaluation model for the campus space of Anhui Xinhua University was constructed by analytic hierarchy process(AHP).The results showed that revetment safety,road convenience,plant disease resistance and campus activity space were important factors affecting the spatial form planning of campus.Through the comparative analysis of the collected data,optimization suggestions were put forward to provide a basis for the establishment of“people-oriented”campus open space system.
文摘Analysis of a disaster event can identify strengths and weaknesses of the response implemented by the disaster management system;however, analysis does not typically occur until after the response phase is over.The result is that knowledge gained can only benefit future responses rather than the response under investigation. This article argues that there is an opportunity to conduct analysis while the response is operational due to the increasing availability of information within hours and days of a disaster event. Hence, this article introduces a methodology for analyzing publicly communicated disaster response information in near-real-time. A classification scheme for the disaster information needs of the public has been developed to facilitate analysis and has led to the establishment of best observed practice standards for content and timeliness. By comparing the information shared with the public within days of a disaster to these standards,information gaps are revealed that can be investigated further. The result is identification of potential deficiencies in communicating critical disaster response information to the public at a time when they can still be corrected.
文摘The nZEB objectives have raised the standard of building performance and changed the way in which buildings are designed and used.Although energy dynamic simulation tools are potentially the most suitable way for accurately evaluating and forecasting the thermal performance,they need several data inputs and user’s knowledge that can affect the reliability of the results.It is precisely these two aspects that proved to be particularly critical,since the reliability of the ICT calculation tools has been widely proven in recent time.However,in order to foster credibility in sustainable architecture,bridging the gap between predicted and measured performance is pivotal to boost the building market towards energy efficiency and provide reliable data to inhabitant,investors and policy maker.The present research aims to identify and quantify the main factors that affect the energy performance gap through a detailed energy analysis carried out on a case study,which can be considered one of the first nearly zero energy residential complex built in Italy.Based on the analysis,the study identifies the main causes of the deviation between the calculated and measured data and demonstrates how it is possible to achieve very reliable models and,therefore,real buildings.Although the procedure traces a classic model calibration scheme,actually it consists of a verification of possible downstream errors mainly due to human factors,such as the provision of incorrect technical data or inappropriate operation.Some observations on the technical,management and regulatory gaps that may generate these errors are reported at the end of the study,together with practical suggestions that can provide effective solutions.
