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In the current study, we quantified changes in the growth and alkaloid content of wild poppy, (Papaver setigerum) as a function of recent and projected changes in global atmospheric carbon dioxide concentration, [CO2]. The experimental [CO2] values (300, 400, 500 and 600μmol mol?1) correspond roughly to the concentrations that existed during the middle of the twentieth century, the current concentration, and near and long-term projections for the current century (2050 and 2090), respectively. Additional carbon dioxide resulted in significant increases in leaf area and above ground biomass for P. setigerum at all [CO2] relative to the 300μmol mol?1 baseline. Reproductively, increasing [CO2] from 300 to 600μmol mol?1 increased the number of capsules, capsule weight and latex production by 3.6, 3.0 and 3.7×, respectively, on a per plant basis. Quantification of secondary compounds (i.e. those not involved in primary metabolism) included the alkaloids morphine, codeine, papaverine and noscapine. The amount of all alkaloids increased significantly on a per plant basis, with the greatest relative increase occurring with recent increases in atmospheric carbon dioxide (e.g. from 300 to 400μmol mol?1). Overall, these data suggest that as atmospheric [CO2] continues to increase, significant effects on the production of secondary plant compounds of pharmacological interest (i.e. opiates) could be expected. 相似文献
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R. Dimitrova Jean-François Sini K. Richards M. Schatzmann M. Weeks E. Perez García C. Borrego 《Boundary-Layer Meteorology》2009,131(2):223-243
Micrometeorological conditions in the vicinity of urban buildings strongly influence the requirements that are imposed on
building heating and cooling. The goal of the present study, carried out within the Advance Tools for Rational Energy Use
towards Sustainability (ATREUS) European research network, is the evaluation of the wind field around buildings with walls
heated by solar radiation. Two computational fluid dynamics (CFD) codes were validated against extensive wind-tunnel observations
to assess the influence of thermal effects on model performance. The code selected from this validation was used to simulate
the wind and temperature fields for a summer day in a specific region of the city of Lisbon. For this study, the meteorological
data produced by a non-hydrostatic mesoscale atmospheric model (MM5) were used as boundary conditions for a CFD code, which
was further applied to analyze the effects of local roughness elements and thermodynamic conditions on the air flow around
buildings. The CFD modelling can also provide the inflow parameters for a Heating, Ventilation and Air Conditioning (HVAC)
system, used to evaluate the building energy budgets and to predict performance of the air-conditioning system. The main finding
of the present three-dimensional analyses is that thermal forcing associated with the heating of buildings can significantly
modify local properties of the air flow. 相似文献
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Sung-Hwa Park A. S. Panicker Dong-In Lee Woon-Seon Jung Sang-Min Jang Min Jang Dongchul Kim Yu-Won Kim Harrison Jeong 《Journal of Atmospheric Chemistry》2010,67(2-3):71-86
This paper reports aerosol chemical properties for the first time over a Korean Global Atmosphere Watch (GAW) supersite, Anmyeon (36°32′N; 126° 19′E), during 2003–2004 period. Total suspended Particulates (TSP) showed significant seasonal variation with consistent higher mass concentrations during spring season (average of up to 230?±?190 μg/m3). PM10 also followed similar trend with higher concentrations during spring (average of up to 170?±?130 μg/m3) and showed reduced concentrations during summer. PM2.5 showed a significant increase during summer (average of up to 60?±?25 μg/m3), which could be due to the influx of fine mode sea salt aerosols associated with the Changma front (summer monsoon). Chemical composition analysis showed enhanced presence of acidic fractions, majorly contributed by sulphates (SO 4 2- ) and nitrates (NO 3 - ) in TSP, PM10 and PM2.5 during different seasons. Enhanced presence of Calcium (Ca2+) was observed during sand storm days during spring. The high correlation obtained on matrix analysis between crustal ions and acidic ions suggests that the ionic compositions over the site are mainly contributed by terrestrial sources of similar origin. The neutralization factors has been estimated to find the extend of neutralization of acidicity by main basic components, and found to have higher value for Ammonium (up to 1.1) in different seasons, indicating significant neutralization of acidic components over the region by NH 4 + . Back trajectory analysis has been performed during different seasons to constrain the possible sources of aerosol origin and the results are discussed in detail. 相似文献
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Marcin Idczak Patrice Mestayer Jean-Michel Rosant Jean-Francois Sini Michel Violleau 《Boundary-Layer Meteorology》2007,124(1):25-41
In order to investigate the microclimatic conditions in a street canyon, a physical model was used to conduct the Joint ATREUS-PICADA
Experiment (JAPEX) in situ experimental campaign. Four lines of buildings simulated by steel containers were installed to
form three parallel street canyons at 1:5 scale, with width/height aspect ratio approximately 0.40. The reference wind and
atmospheric conditions were measured, as well as the flow velocity and direction in the street. Preliminary results concern
street canyon ventilation and thermal effects on in-canyon airflow, and show that vortical motions appear for reference wind
directions perpendicular to the street axis. The presence of adjacent rows of buildings did not appear to significantly influence
the flow character within the canyon for the case of a low aspect ratio corresponding to a skimming flow regime. The flow
structure was not significantly affected by the thermal effects although some slight interference occurred in the lower part
of the canyon. An analysis of horizontal temperature gradients indicated that a thin boundary layer develops near the heated
facade. These facts imply that the thermal effects are considerable only very close to the wall. 相似文献
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Kaushar Ali A. S. Panicker G. Beig R. Srinivas P. Acharja 《Journal of Atmospheric Chemistry》2016,73(1):1-27
Sampling of particulate matter with aerodynamic diameter cut off at 2.5 μm (PM2.5) has been carried out over a semi urban site of Pune and an urban site of Hyderabad. Analysis of elemental Carbon (EC) and Organic Carbon (OC) present in PM2.5 was carried out using advanced Desert Research Institute’s (DRI) Thermal/Optical Carbon Analyzer operated on IMPROVE_ A (Interagency Monitoring of Protected Visual Environments_ A) protocol. It is found that average concentration of EC and OC both at Pune and Hyderabad was highest during winter season and lowest during monsoon season. Winter high is mainly controlled by inversion, whereas monsoon low is due to rain-out and wash-out process. OC/EC ratio showed higher variation over Pune compared to that over Hyderabad in different seasons, indicating divergent sources of emission of OC and EC at Pune. Formation of Secondary Organic Carbon (SOC) has also been identified as one of the reasons for wide variation in OC/EC ratio value in different seasons over both the sites. 相似文献
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Narayana N. Panicker 《Ocean Engineering》1976,3(6):429-439
The distribution of wave energy and power as functions of longitude and latitude are presented for the Northern Hemisphere at 12Z, October 2, 1975. Both the large peak of the distribution in the Atlantic Ocean and the smaller peak in the Pacific Ocean are found to be at longitudes towards the eastern end of the ocean basins. This ‘eastern accumulation’ of wave energy and power offers interesting contrast to the western intensification of currents. Distribution of wave power with latitude shows peaks of wave power in the mid-latitudes. The total surface wave energy in the seas of thw world for the same time is estimated to be 1600 × 1015 J. The corresponding total wave power estimate is 90 × 1015 W. The rate of renewal of wave power is estimated to bs 1012–1013 W, about the present level of world power consumption. 相似文献
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The three-dimensional array of current velocity and temperature sensors for the Internal Wave Experiment (IWEX) was supported on a tripod mooring rising from the sea floor to a height of 5 km in water
km deep. The mooring was so designed that its current-induced motions would be small, as required by the experiment. Sensitivity of the mooring excursions to cable buoyancy, leg inclination, apex buoyancy and cable size was examined by computer simulation to optimize the design.When deployed the mooring carried nine precision pressure recorders to monitor its configuration and stability. After removal of the tidal pressure variations, the pressure records confirmed vertical excursions small enough to contribute only insignificant noise to the velocity measurements. Comparison of the measured excursions with those predicted by computer simulation using actual current measurements showed good agreement. 相似文献
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Abdul-Lateef Balogun Fatemeh Rezaie Quoc Bao Pham Ljubomir Gigović Siniša Drobnjak Yusuf A. Aina Mahdi Panahi Shamsudeen Temitope Yekeen Saro Lee 《地学前缘(英文版)》2021,12(3):101104
In this study, we developed multiple hybrid machine-learning models to address parameter optimization limitations and enhance the spatial prediction of landslide susceptibility models. We created a geographic information system database, and our analysis results were used to prepare a landslide inventory map containing 359 landslide events identified from Google Earth, aerial photographs, and other validated sources. A support vector regression (SVR) machine-learning model was used to divide the landslide inventory into training (70%) and testing (30%) datasets. The landslide susceptibility map was produced using 14 causative factors. We applied the established gray wolf optimization (GWO) algorithm, bat algorithm (BA), and cuckoo optimization algorithm (COA) to fine-tune the parameters of the SVR model to improve its predictive accuracy. The resultant hybrid models, SVR-GWO, SVR-BA, and SVR-COA, were validated in terms of the area under curve (AUC) and root mean square error (RMSE). The AUC values for the SVR-GWO (0.733), SVR-BA (0.724), and SVR-COA (0.738) models indicate their good prediction rates for landslide susceptibility modeling. SVR-COA had the greatest accuracy, with an RMSE of 0.21687, and SVR-BA had the least accuracy, with an RMSE of 0.23046. The three optimized hybrid models outperformed the SVR model (AUC = 0.704, RMSE = 0.26689), confirming the ability of metaheuristic algorithms to improve model performance. 相似文献
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