scholarly journals Application of North European characterisation factors, population density and distance-to-coast grid data for refreshing the Swedish human toxicity and ecotoxicity footprint analysis

2022 ◽  
Vol 92 ◽  
pp. 106686
Author(s):  
Szilárd Erhart ◽  
Kornél Erhart
Keyword(s):  
Population Density ◽  
Human Toxicity ◽  
Grid Data ◽  
Footprint Analysis ◽  
Characterisation Factors

scholarly journals Multi-Scale Measurement of Regional Inequality in Mainland China during 2005–2010 Using DMSP/OLS Night Light Imagery and Population Density Grid Data

2015 ◽  
Vol 7 (10) ◽  
pp. 13469-13499 ◽  
Author(s):  
Huimin Xu ◽  
Hutao Yang ◽  
Xi Li ◽  
Huiran Jin ◽  
Deren Li
Keyword(s):  
Population Density ◽  
Mainland China ◽  
Regional Inequality ◽  
Grid Data ◽  
Multi Scale

scholarly journals Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China

2019 ◽  
Vol 11 (4) ◽  
pp. 971 ◽  
Author(s):  
Jidong Wu ◽  
Mengqi Ye ◽  
Xu Wang ◽  
Elco Koks
Keyword(s):  
Risk Assessment ◽  
High Resolution ◽  
Population Density ◽  
Flood Risk ◽  
Statistical Data ◽  
Risk Assessments ◽  
Flood Hazards ◽  
Grid Data ◽  
Flood Exposure ◽  
Asset Value

Exposure is an integral part of any natural disaster risk assessment, and damage to buildings is one of the most important consequence of flood disasters. As such, estimates of the building stock and the values at risk can assist in flood risk management, including determining the damage extent and severity. Unfortunately, little information about building asset value, and especially its spatial distributions, is readily available in most countries. This is certainly true in China, given that the statistical data on building floor area (BFA) is collected by administrative entities (i.e. census level). To bridge the gap between census-level BFA data and geo-coded building asset value data, this article introduces a method for building asset value mapping, using Shanghai as an example. This method consists of a census-level BFA disaggregation (downscaling) by means of a building footprint map extracted from high-resolution remote sensing data, combined with LandScan population density grid data and a financial appraisal of building asset values. Validation with statistical data and field survey data confirms that the method can produce good results, but largely constrained by the resolution of the population density grid used. However, compared with other models with no disaggregation in flood exposure assessment that involves Shanghai, the building asset value mapping method used in this study has a comparative advantage, and it will provide a quick way to produce a building asset value map for regional flood risk assessments. We argue that a sound flood risk assessment should be based on a high-resolution—individual building-based—building asset value map because of the high spatial heterogeneity of flood hazards.

Australian characterisation factors and normalisation figures for human toxicity and ecotoxicity

2007 ◽  
Vol 15 (8-9) ◽  
pp. 819-832 ◽  
Author(s):  
Sven Lundie ◽  
Mark A.J. Huijbregts ◽  
Hazel V. Rowley ◽  
Nellemieke J. Mohr ◽  
Andrew J. Feitz
Keyword(s):  
Human Toxicity ◽  
Characterisation Factors

Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

Rubber Composition–Properties Relationships during Tire Numerical Simulation and Design Optimization

2017 ◽  
Vol 45 (1) ◽  
pp. 71-84 ◽  
Author(s):  
Alexey Mazin ◽  
Alexander Kapustin ◽  
Mikhail Soloviev ◽  
Alexander Karanets
Keyword(s):  
Numerical Simulation ◽  
Design Optimization ◽  
Strain Tensor ◽  
General Purpose ◽  
Orthogonal Functions ◽  
Element Analysis ◽  
Time Investment ◽  
Footprint Analysis ◽  
Composition Properties ◽  
Nonlinear Elastic

ABSTRACT Numerical simulation based on finite element analysis is now widely used during the design optimization of tires, thereby drastically reducing the time investment in the design process and improving tire performance because it is obtained from the optimized solution. Rubber material models that are used in numerical calculations of stress–strain distributions are nonlinear and may include several parameters. The relations of these parameters with rubber formulations are usually unknown, so the designer has no information on whether the optimal set of parameters is reachable by the rubber technological possibilities. The aim of this work was to develop such relations. The most common approach to derive the equation of the state of rubber is based on the expansion of the strain energy in a series of invariants of the strain tensor. Here, we show that this approach has several drawbacks, one of which is problems that arise when trying to build on its basis the quantitative relations between the rubber composition and its properties. An alternative is to use a series expansion in orthogonal functions, thereby ensuring the linear independence of the coefficients of elasticity in evaluation of the experimental data and the possibility of constructing continuous maps of “the composition to the property.” In the case of orthogonal Legendre polynomials, the technique for constructing such maps is considered, and a set of empirical functions is proposed to adequately describe the dependence of the parameters of nonlinear elastic properties of general-purpose rubbers on the content of the main ingredients. The calculated sets of parameters were used in numerical tire simulations including static loading, footprint analysis, braking/acceleration, and cornering and also in design optimization procedures.

Commercial Trailer Tires: Tire Inflation and Its Effect on Rolling Resistance, Fuel Economy, and Tire Footprint

2015 ◽  
Vol 43 (2) ◽  
pp. 144-162
Author(s):  
Al Cohn
Keyword(s):  
Fuel Economy ◽  
Rolling Resistance ◽  
Maintenance Cost ◽  
Wear Loss ◽  
Truck Tires ◽  
Footprint Analysis ◽  
Subsequent Loss ◽  
Resistance Data

ABSTRACT Maintaining proper tire inflation is the number one issue facing commercial fleets today. Common, slow-leaking tread area punctures along with leaking valve stems and osmosis through the tire casing lead to tire underinflation with a subsequent loss in fuel economy, reduction in retreadability, tread wear loss, irregular wear, and increase in tire-related roadside service calls. Commercial truck tires are the highest maintenance cost for fleets second only to fuel. This article will examine tire footprint analysis, rolling resistance data, and the effect on vehicle fuel economy from tires run at a variety of underinflated, overinflated, and recommended tire pressures. This analysis will also include the tire footprint impact by running tires on both fully loaded and unloaded trailers. The footprint analysis addresses both standard dual tires (295/75R22.5) along with the newer increasingly popular wide-base tire size 445/50R22.5.

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