Figure 3 shows the adjusted prevalence rates of different respiratory symptoms as a function of the residential distance from the highway.
Open image in new window Fig. 2 Break-even dose as a function of the local residential radon concentration (line), with the break-even dose defined as the model-based estimate of the personal dose equivalent to be incurred from x-rays that undoes the decrease in radiation dose from natural sources within the hypothetical department.
The amount of water required by residential landscaping is a function of the areal extent of residential landscaping (i.e. tree/shrub or turf grass), the water-loss rate for different landscaping types, the efficiency with which the landscape is irrigated, and local climatic factors (i.e. reference evapotranspiration and precipitation) (Lowry et al. 2011).
To estimate the amount of water required by residential landscaping, we consider water demand to be a function of the areal extent of residential landscaping (i.e. tree/shrub or turf grass), the water-loss rate for different landscaping types, the efficiency with which the landscape is irrigated, and local climatic factors (i.e. reference evapotranspiration and precipitation).
The example we present in this article demonstrates the utility of physically based models for predicting concentrations of SVOCs as a function of time and space in residential environments.
Based on the payoff function of residential users, they are willing to schedule their shiftable loads to minimize their cost until the Nash equilibrium of the game is reached.
Any covariate that has a spatial pattern and is associated with the outcome could cause confounding of the association of the outcome and unmeasured environmental exposure, as represented by the smoothed function of residential locations.
Typically, the analysis focuses on residential trip generation as a function of the social and economic attributes of households, but nonresidential land use suggests others variables.
Similarly, Abdul-Wahab and Al-Alawi (2002) used neural networks for ozone modeling in the lower atmosphere as a function of meteorological conditions and various air quality parameters in the Khaldiya residential district of Kuwait.
The residential buildings were divided into more than 30 typologies as a function of the building material and structural system, height regime, and level of seismic code used in the design process.
