Influence of seasonal weather variations and vegetative cycle on live moisture content and ignitability in Mediterranean maquis species

2006 ◽  
Vol 234 ◽  
pp. S111 ◽  
Author(s):  
G. Pellizzaro ◽  
C. Cesaraccio ◽  
P. Duce ◽  
A. Ventura ◽  
P. Zara
Keyword(s):  
Moisture Content ◽  
Mediterranean Maquis ◽  
Vegetative Cycle ◽  
Weather Variations ◽  
Seasonal Weather

Composition of Leachate

2015 ◽  
pp. 145-172 ◽  
Author(s):  
Shuokr Qarani Aziz ◽  
Amin Mojiri
Keyword(s):  
Heavy Metals ◽  
Moisture Content ◽  
Solid Waste ◽  
Landfill Leachate ◽  
Developed Countries ◽  
Management Policy ◽  
Waste Management Policy ◽  
Aqueous Effluent ◽  
Weather Variations ◽  
Refractory Organics

Solid waste is an important environmental problem in both developing and developed countries. Management of Municipal Solid Waste (MSW) is one of the main modern environmental issues in municipal areas because of both its huge amount and variety of constituents. Information on characteristics of MSW is important for the formulation of new waste management policy. Landfill leachate is defined as an aqueous effluent produced when water percolates through the waste in a landfill. The nature of landfill leachate depends on the type of MSW being dumped, landfill age, moisture content, seasonal weather variations, site hydrology, the stage of decomposition in the landfill and pH. Produced leachate could contain large amounts of contaminants measured as COD, BOD5, NH3–N, heavy metals, phenols, phosphorus etc. Obviously, as landfill age increases, the biodegradable fraction of organic pollutants in leachate decrease as an outcome of the anaerobic decomposition occurring in landfill site. Thus, mature or stabilized leachate contains much more refractory organics than young leachate.

scholarly journals Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Nkuba Nyerere ◽  
Livingstone S. Luboobi ◽  
Saul C. Mpeshe ◽  
Gabriel M. Shirima
Keyword(s):  
Mathematical Model ◽  
Numerical Simulations ◽  
Transmission Dynamics ◽  
Wild Animals ◽  
Indirect Transmission ◽  
Transmission Parameters ◽  
Domestic Ruminants ◽  
Weather Variations ◽  
The Impact ◽  
Seasonal Weather

A deterministic mathematical model for brucellosis that incorporates seasonality on direct and indirect transmission parameters for domestic ruminants, wild animals, humans, and the environment was formulated and analyzed in this paper. Both analytical and numerical simulations are presented. From this study, the findings show that variations in seasonal weather have the great impact on the transmission dynamics of brucellosis in humans, livestock, and wild animals. Thus, in order for the disease to be controlled or eliminated, measures should be timely implemented upon the fluctuation in the transmission of the disease.

scholarly journals Seasonal Variation of Physical Activity in Community-Living vs. Residential-Dwelling Older Adults

2017 ◽  
Vol 15 (3) ◽  
pp. 37-47 ◽  
Author(s):  
Sherry A. Barkley ◽  
Stephen D. Herrmann
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Retirement Community ◽  
Subjective Measure ◽  
Older Individuals ◽  
Weather Variation ◽  
Fitness Facility ◽  
Group Change ◽  
Weather Variations ◽  
Seasonal Weather

Background and Purpose: Although physical activity (PA) is important for all ages including older adults, participation may be influenced by weather variation and access to programming. Our primary aim was determine if PA participation is influenced by season and place of residence. A secondary aim was to compare objective and subjective measure of PA participation. Methods: Participants included older individuals (age>65) living in a residential retirement community (RR) with access to an on-site fitness facility (n=7) and additional volunteers (n=9) who lived at home and traveled to exercise at a nonresidential community (NR) activities center Accelerometers were used to measure daily PA during the summer and again during the winter. Results: PA for the NR group was higher in the summer (268.4�73.7 min vs. RR=186.8�68.0, p=0.039), but not in the winter (NR=261.8�92.6 min, RR=182.0�72.5, p=0.082). No within-group change in PA was noted from summer to winter for either group (p>0.05). The correlation between subjective and objective measures of PA was low (r=.262). Conclusion: Access to appropriate facilities and programming serves to help older individuals maintain PA levels despite seasonal weather variations. The low correlation between objective and subjective measures suggest a need to re-evaluate methods of tracking PA participation by older adults.

Modeling and Optimal Control of Micro-CSP and a Building HVAC System to Minimize Electricity Cost

2018 ◽  
Author(s):  
Chethan R. Reddy ◽  
Mohamed Toub ◽  
Meysam Razmara ◽  
Mahdi Shahbakhti ◽  
Rush D. Robinett ◽  
...  
Keyword(s):  
Optimal Control ◽  
Energy Cost ◽  
Hvac System ◽  
Building Model ◽  
Electricity Cost ◽  
Energy Flows ◽  
The Cost ◽  
Technological University ◽  
Weather Variations ◽  
Seasonal Weather

This paper presents a model predictive control (MPC) framework to minimize the energy cost associated with the building heating, ventilation, and air-conditioning (HVAC) system integrated with a micro-scale concentrated solar power (MicroCSP) system. To this end, a MicroCSP model is developed and then integrated to the building model of an office building in Michigan Technological University. Then, an MPC framework is designed to optimize MicroCSP electrical and thermal energy flows for HVAC use in the building. The optimal control results show that the designed MPC framework reduces the HVAC energy cost by 37–42% for a sample sunny day by optimally utilizing the solar energy, compared to the HVAC system without MicroCSP with an MPC controller. The cost saving varies from 12% to 47% depending on seasonal weather variations.

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