611 research outputs found

    A General Solar Radiation Estimation Model Using Ground Measured Meteorological Data in Sarawak, Malaysia

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    Daily solar radiation is main fundamental for most of physical and living processes on the Earth’s surface as it plays role in the local and global energy budget. The data at specific location is quite indispensable for many solar energy related researches but not all places are equipped with such measured data collection. Solar radiation models based on meteorological parameters can serve as substitute to measured illuminance and irradiation data. This study is aimed to estimate the missing or incomplete data of solar radiation at meteorological stations in Sarawak using commonly measured meteorological data and selecting optimal models. Using the measured maximum and minimum air temperature differences, ΔT, relative humidity, RH and cloud factor, CF covering the years from 2010 to 2015, existing model are calibrated and new model is developed. The solar radiation is estimated by applying linear regression of ΔT, RH and multiple regression method (MRM). The result of calculation then is compared with the existing temperaturebased model namely Hargreaves-Samani model and BristowCampbell model using statistical performance. The result shows that over short and long term, MRM perform the best by giving small RMSE and MBE of close to 0%. Linear ΔT and RH gave considerable results of MBE less than 10% but vary in term of RMSE. BC model performance is quite similar to the performance of linear ΔT- K T model. The application of MRM model to the measured data is the best in predicting solar radiation data

    Democratically engaged assessment: Reimagining the purposes and practices of assessment in community engagement

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    This document is a project of reclamation and transformation, one that is both ongoing and rooted in years of dialogue within Imagining America and the work of its Assessing Practices of Public Scholarship research group (APPS). It emerges from our own experiences with assessment related to community engagement and from those of many other colleagues on campuses and in diverse communities. It is intended to bring together those who wish to reimagine assessment in light of its civic potential — to develop what we refer to as Democratically Engaged Assessment (DEA).Imagining Americ

    Seasonal dependence of peroxy radical concentrations at a northern hemisphere marine boundary layer site during summer and winter: evidence for photochemical activity in winter

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    International audiencePeroxy radicals (HO2+?RO2) were measured at the Weybourne Atmospheric Observatory (52° N, 1° E), Norfolk using a PEroxy Radical Chemical Amplifier (PERCA) during the winter and summer of 2002. The peroxy radical diurnal cycles showed a marked difference between the winter and summer campaigns with maximum concentrations of 12 pptv at midday in the summer and maximum concentrations as high as 30 pptv (10 min averages) in winter at night. The corresponding nighttime peroxy radical concentrations were not as high in summer (3 pptv). The peroxy radical concentration shows a distinct anti-correlation with increasing NOx during the daylight hours. At night, peroxy radicals increase with increasing NOx indicative of the role of NO3 chemistry. The average diurnal cycles for net ozone production, N(O3) show a large variability in ozone production, P(O3), and a large ozone loss, L(O3) in summer relative to winter. For a daylight average, net ozone production in summer than winter (1.51±0.5 ppbv h?1 and 1.11±0.47 ppbv h?1 respectively) but summer shows more variability of (meteorological) conditions than winter. The variability in NO concentration has a much larger effect on N(O3) than the peroxy radical concentrations. Photostationary state (PSS) calculations show an NO2 lifetime of 5 min in summer and 21 min in the winter, implying that steady-state NO-NO2 ratios are not always attained during the winter months. The results show an active peroxy radical chemistry at night and the ability of winter to make oxidant. The net effect of this with respect to production of ozone in winter is unclear owing to the breakdown in the photostationary state

    Evaluating regional emission estimates using the TRACE-P observations

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    Measurements obtained during the NASA Transport and Chemical Evolution over the Pacific (TRACE-P) experiment are used in conjunction with regional modeling analysis to evaluate emission estimates for Asia. A comparison between the modeled values and the observations is one method to evaluate emissions. Based on such analysis it is concluded that the inventory performs well for the light alkanes, CO, ethyne, SO2, and NOₓ. Furthermore, based on model skill in predicting important photochemical species such as O₃, HCHO, OH, HO₂, and HNO₃, it is found that the emissions inventories are of sufficient quality to support preliminary studies of ozone production. These are important finding in light of the fact that emission estimates for many species (such as speciated NMHCs and BC) for this region have only recently been estimated and are highly uncertain. Using a classification of the measurements built upon trajectory analysis, we compare observed species distributions and ratios of species to those modeled and to ratios estimated from the emissions inventory. It is shown that this technique can reconstruct a spatial distribution of propane/benzene that looks remarkably similar to that calculated from the emissions inventory. A major discrepancy between modeled and observed behavior is found in the Yellow Sea, where modeled values are systematically underpredicted. The integrated analysis suggests that this may be related to an underestimation of emissions from the domestic sector. The emission is further tested by comparing observed and measured species ratios in identified megacity plumes. Many of the model derived ratios (e.g., BC/CO, SOₓ/C₂H₂) fall within ∼25% of those observed and all fall outside of a factor of 2.5. (See Article file for details of the abstract.)Department of Civil and Environmental EngineeringAuthor name used in this publication: Wang, T
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