Winter-Season Climate Prediction for the U.K. Health Sector

2006 ◽  
Vol 45 (12) ◽  
pp. 1782-1792 ◽  
Author(s):  
G. R. McGregor ◽  
M. Cox ◽  
Y. Cui ◽  
Z. Cui ◽  
M. K. Davey ◽  
...  

Abstract The winter climate of the British Isles is characterized by considerable interannual variability, which, because of the general climate sensitivity of a number of health outcomes, places at times considerable pressure on the provision of health services. Seasonal climate forecasts potentially could improve management within the health sector and assist in hedging against the vagaries of climatic variability. For this reason, an exploratory analysis of the potential utility of seasonal climate forecasting for the health sector in the United Kingdom is presented here. Study results revealed that the general level of winter mortality at the monthly to seasonal time scale possesses a strong association with simple descriptors of winter climate such as maximum temperature and the number of days below a given temperature threshold. Because such climate indices can be derived from the output of coupled seasonal climate prediction models, predictions of general levels of mortality may be possible using simple transfer functions that describe winter climate and health associations. Despite the potential one-month-ahead and one-season-ahead predictability of winter mortality levels, the predictability of the key climate indices by coupled climate models is shown to be somewhat limited, which compromises the ability to predict general levels of winter mortality for all months except February.

Author(s):  
Jaepil Cho ◽  
Chang-Min Shin ◽  
Hwan-Kyu Choi ◽  
Kyong-Hyeon Kim ◽  
Ji-Yong Choi

Abstract. The APEC Climate Center (APCC) produces climate prediction information utilizing a multi-climate model ensemble (MME) technique. In this study, four different downscaling methods, in accordance with the degree of utilizing the seasonal climate prediction information, were developed in order to improve predictability and to refine the spatial scale. These methods include: (1) the Simple Bias Correction (SBC) method, which directly uses APCC's dynamic prediction data with a 3 to 6 month lead time; (2) the Moving Window Regression (MWR) method, which indirectly utilizes dynamic prediction data; (3) the Climate Index Regression (CIR) method, which predominantly uses observation-based climate indices; and (4) the Integrated Time Regression (ITR) method, which uses predictors selected from both CIR and MWR. Then, a sampling-based temporal downscaling was conducted using the Mahalanobis distance method in order to create daily weather inputs to the Soil and Water Assessment Tool (SWAT) model. Long-term predictability of water quality within the Wecheon watershed of the Nakdong River Basin was evaluated. According to the Korean Ministry of Environment's Provisions of Water Quality Prediction and Response Measures, modeling-based predictability was evaluated by using 3-month lead prediction data issued in February, May, August, and November as model input of SWAT. Finally, an integrated approach, which takes into account various climate information and downscaling methods for water quality prediction, was presented. This integrated approach can be used to prevent potential problems caused by extreme climate in advance.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 748
Author(s):  
Xiaoyan Bian ◽  
Yao Zhang ◽  
Qibin Zhou ◽  
Ting Cao ◽  
Bengang Wei

Building Integrated Photovoltaic (BIPV) modules are a new type of photovoltaic (PV) modules that are widely used in distributed PV stations on the roof of buildings for power generation. Due to the high installation location, BIPV modules suffer from lightning hazard greatly. In order to evaluate the risk of lightning stroke and consequent damage to BIPV modules, the studies on the lightning attachment characteristics and the lightning energy withstand capability are conducted, respectively, based on numerical and experimental methods in this paper. In the study of lightning attachment characteristics, the numerical simulation results show that it is easier for the charges to concentrate on the upper edge of the BIPV metal frame. Therefore, the electric field strength at the upper edge is enhanced to emit upward leaders and attract the lightning downward leaders. The conclusion is verified through the long-gap discharge experiment in a high voltage lab. From the experimental study of multi-discharge in the lab, it is found that the lightning interception efficiency of the BIPV module is improved by 114% compared with the traditional PV modules. In the study of lightning energy withstand capability, a thermoelectric coupling model is established. With this model, the potential, current and temperature can be calculated in the multi-physical field numerical simulation. The results show that the maximum temperature of the metal frame increases by 16.07 °C when 100 kA lightning current flows through it and does not bring any damage to the PV modules. The numerical results have a good consistency with the experimental study results obtained from the 100 kA impulse current experiment in the lab.


2021 ◽  
pp. 117286
Author(s):  
Daniel Mercado-Bettín ◽  
Francois Clayer ◽  
Muhammed Shikhani ◽  
Tadhg N. Moore ◽  
María Dolores Frías ◽  
...  

2019 ◽  
Vol 51 (3) ◽  
pp. 26-31
Author(s):  
E.A. Azhmuldinov ◽  
◽  
Yu.N. Chernyshenko ◽  
M.G. Titov ◽  
◽  
...  

A study was conducted of the effect of heat stress on the clinical and physiological state of male rabbits at the age of 5 months with an average live weight of 1551 g. The maximum temperature the animals were exposed to during the experiment was +42 °C. The study results showed a decrease in feed intake and an increase in water consumption, which contributed to a decrease in live weight. Hematological parameters, including hemoglobin, erythrocytes, leukocytes, total plasma protein, globulins and cholesterol increased during the action of this stress factor. It was found that the effect of high ambient temperatures on rabbits negatively affected their physiological functions; the negative effect was reflected by the morphological and biochemical blood parameters.


2005 ◽  
Vol 57 (3) ◽  
pp. 375-386 ◽  
Author(s):  
Philippe Rogel ◽  
Anthony T. Weaver ◽  
Nicolas Daget ◽  
Sophie Ricci ◽  
Eric Machu

2001 ◽  
Vol 18 (2) ◽  
pp. 197-208 ◽  
Author(s):  
Wang Shaowu ◽  
Zhu Jinhong

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