RESUMO
The increasing intensity and frequency of extreme weather events resulting from climate change have led to grid outages and other negative consequences. To ensure the resilience of buildings which serve as primary shelters for occupants, resilient strategies are being developed to improve their ability to withstand these extreme events (e.g., building upgrades and renewable energy generators and storage). However, a crucial step towards creating a resilient built environment is accurately estimating building performance during such conditions using historical extreme climate change-induced weather events. To conduct Building Performance Simulation (BPS) in extreme conditions, such as weather events induced by climate change, it is essential to utilize Actual Meteorological Year (AMY) weather files instead of Typical Meteorological Year (TMY) files. AMY files capture the precise climatic conditions during extreme weather events, enabling accurate simulation of such scenarios. These weather files provide valuable data that can be used to assess the vulnerabilities and resilience of buildings to extreme weather events. By analyzing past events and their impacts using BPS tools, we can gain insights into the specific weaknesses and areas that require improvement. This approach applies to both existing buildings needing climate change-resilient retrofits and new building designs that must be compatible with future climatic conditions. Moreover, the intensification and frequency increase of these extreme weather events makes developing adaptation and resilient-building measures imperative. This involves understanding the potential losses that households may experience due to the intensification of extreme events and developing farsighted coping strategies and climate-proof resilient-building initiatives. However, addressing the knowledge gap caused by the absence of an AMY weather file dataset of extreme events is essential. This will allow for accurate BPS during past extreme climate change-induced weather events. To fill this gap, this article introduces a comprehensive .epw format weather file dataset focusing on historical extreme weather events in Canada. This collection encompasses a diverse array of past extreme climate change occurrences in various locations, with potential for future expansion to include additional locations and countries. This dataset enables energy simulations for different types of buildings and considers a diverse range of historical weather conditions, allowing for better estimation of thermal performance.
RESUMO
A balanced anesthesia protocol is called perfect when it has fast induction, excellent recovery, the least effect on the cardiopulmonary system and sufficient analgesia. Many of anesthetic combinations have an analgesic effect without opioids. However, at the end of anesthesia, analgesia decreases or is incomplete. The purpose of this study was to evaluate anesthesia times, electrocardiogram (ECG) and analgesic effect of tramadol when administrated with ketamine, ketamine-diazepam, ketamine-midazolam, and ketamine-xylazine and selected a balanced anesthesia protocol in buzzards. Ten adult common buzzards (Buteo buteo) received seven different anesthetic protocols (with or without tramadol). In each protocol, anesthesia times, electrocardiograph parameters and analgesic effect were recorded. Excluding ketamine-tramadol, all protocols produced deep anesthesia in all buzzards. Among of all protocols, no significant differences regarding the amplitude and duration of waves (P, QRS and T) was found. By adding tramadol to anesthetic protocols, response duration to thermal sense increased up 3 hr after recovery. Tramadol did not make considerable effects on anesthesia times and ECG and made analgesic effect up to 3 hr when used with ketamine-benzodiazpins or ketamine-xylazine. Therefore, tramadol can be used with injectable anesthetics to make suitably balanced anesthesia in buzzards.