IndexLiving L_OGUCBedroom L_OGUCLiving L_PDABedroom L_PDALiving M_PDABedroom M_PDA CV (RMSE) (%) 3.18 0.27 7.96 0.38 2.03 1.27 NMBE (%) 14.49 13.96 10.98 9.8 10.88 10.84 3.4.3. Indoor temperature comparison Indoor temperatures in hourly frequencies were measured in sample houses in L_...
Values of \({Nu}_{\text{avg}}\) and KE increases with the increase in the Power law index from \(0.6\text{ to }1.4\) It has been observed that the Circular heated obstacle had the highest values of \({Nu}_{\text{avg}}\) and KE as compared to the triangular or square heated...
Definition of extreme index The summer 2021 heatwave mainly affected Western North America (WNA, 40°−65°N, 105°−125°W, purple box in Fig.1c, Supplementary Fig.1and Supplementary Fig.2). As the heat event lasted for approximately a week (Fig.1a), the indexTXx7is analyzed, which...
We suggest you consult the Scopus database directly to see the current index status as SJR is a static image of Scopus, which is changing every day.Best Regards, SCImago Team SSohail Ahmad 5 years ago Please let me know whether the journal (IJHT) is included in ISI Journals. What is ...
The DaVis program currently only allows refractive index and temperature derivations for axisymmetric 2D flows and was thus only calculated for the outlets. Temperature stills show an average of the 1200 experimental images. Displacement stills show single frames. The conductance of the heat-exchanging ...
In addition, the Betti number average and the pseudo-homogeneous time t define a new index. A better fitting curve about and the volumetric heat transfer coefficient average is received and its correlation coefficient is 0.95. A paradigm is established on the basis of this novel method for the...
Beguería, S., Vicente-Serrano, S. M., Reig, F. & Latorre, B. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring.Int. J. Climatol.34, 3001–3023 (2014). ...
The Heat-Health Risk Index is an approach and evidence base that helps us understand the ways that health-risk varies socially and spatially across Australia. It uses the latest data and thinking on the social, economic, built, and natural environments to create indicators of how communities are...
Deriving a heat vulnerability index In the IPCC AR5, vulnerability is a function of sensitivity and capacity30,72(Fig.2c). Considering data availability, the final factors for sensitivity included age structure (as indicated by the proportion of the young population (<15 years) and the proportio...
For instance, through calculating the urban-suburban differences in the Enhanced Vegetation Index (ΔEVI) of the different vegetation types, we can clearly see the seasonal variation of vegetation (Fig. 3). Secondly, we found obvious differences between daytime and nighttime SUHII (Table 2), ...