West Harting is a hamlet in the Chichester district of West Sussex, England. At the 2011 Census the population of the hamlet was included in the civil parish of Harting. It lies just off the B2146 road 2.4 miles (4 km) southeast of Petersfield and encompasses three additional houses which come under their own hamlet name of Quebec. All evidence suggests there was originally one main farm in the hamlet, named Manor Farm, which still exists to this day. However, there are several other farms which own the remainder of the land around West Harting in the hamlet's vicinity.

History
The hamlet was listed in the Domesday Book included in the large Manor of Harting along with South Harting and East Harting.

References

External links

Villages in West Sussex


SAFE AIR  (Simulation of Air pollution From Emissions Above Inhomogeneous Regions) is an advanced atmospheric pollution dispersion model for calculating concentrations of atmospheric pollutants emitted both continuously or intermittently from point, line, volume and area sources. It adopts an integrated Gaussian puff modeling system.
SAFE AIR  consists of three main parts: the meteorological pre-processor WINDS (Wind-field Interpolation by Non Divergent Schemes) to calculate wind fields, the meteorological pre-processor ABLE (Acquisition of Boundary Layer parameters) to calculate atmospheric parameters and a lagrangian multisource model named P6 (Program Plotting Paths of Pollutant Puffs and Plumes) to calculate pollutant dispersion.
SAFE AIR  is included in the online Model Documentation System (MDS) of the European Environment Agency (EEA) and of the Italian Agency for the Protection of the Environment (APAT).

History
SAFE AIR is developed, maintained, and distributed by the Department of Physics (DIFI) of the University of Genoa, Italy. The first version of SAFE AIR was released in 1996. The current version II was released in 2003 and runs both in the Microsoft Windows and Unix environment. It has a Fortran codebase.

Input data

Topographic data

Orography
Roughness
Displacement level
Land sea mask

Meteorological data

Ambient temperature
Wind direction
Wind speed
Atmospheric stability classes (A through G)
Atmospheric pressure
Cloud cover
Albedo

Source data

Position
Dimension
Release height of the emission source
Emission discharge rate of primary and secondary pollutants
Volume flow rate of total gas emission
Exit gas temperature
Exit gas speed

Features and capabilities of SAFE AIR

The model includes algorithms which take into account: downwash effects of nearby buildings within the path of the dispersing pollution plume; effects of complex terrain; effects of coastline locations; wet deposition, gravitational settling and dry deposition; first order chemical reactions; pollution plume rise as a function of distance; averaging time ranging from very short to annual. The system also includes a meteorological data input preprocessor, named ABLE.
The model is capable of simulating passive or buoyant continuous plumes as well as short duration puff releases. It characterizes the atmospheric turbulence either by the boundary layer depth and the Monin-Obukhov length or by the Pasquill class.

See also

Atmospheric dispersion modeling
Bibliography of atmospheric dispersion modeling
Atmospheric Studies Group
List of atmospheric dispersion models

References

E. Canepa, F. Modesti, and C.F. Ratto (2000) Evaluation of the SAFE_AIR code against air pollution field and laboratory experiments. Atmos. Environ., 34, 4805-4818.
 E. Canepa, L. Dallorto, and C.F. Ratto (2000) About the plume rise description in the dispersion code SAFE_AIR. Int. J. Environ. Pollut., 14, 235-245.
E. Canepa and P.J.H. Builtjes (2001) Methodology of model testing and application to dispersion simulation above complex terrain. Int. J. Environ. Pollut., 16, 101-115.
E. Canepa and C.F. Ratto (2003) SAFE_AIR algorithms to simulate the transport of pollutant elements: a model validation exercise and sensitivity analysis. Environ. Model. Software, 18, 365-372.
E. Canepa, F. D’Alberti, F. D’Amati, and G. Triacchini (2007) The GIS-based SafeAirView software for the concentration assessment of radioactive pollutants after an accidental releases. Science Total Environ., 373, 32-42.
M. Cavallaro, E. Canepa, and E. Georgieva (2007) The SAFE_AIR II dispersion model: description and statistical evaluation of its dispersion module against wind tunnel data from area sources. Ecolog. Model., 202, 547-558.

Further reading
For those who are unfamiliar with air pollution dispersion modelling and would like to learn more about the subject, it is suggested that either one of the following books be read:

 www.crcpress.com

External links
SAFE_AIR Version II Release 1.1 User’s Guide

Atmospheric dispersion modeling


Andinichthyidae is a prehistoric family of catfishes from the Cretaceous to Eocene of South America.

Species
The four species in four monotypic genera are:
 Genus Andinichthys Gayet, 1988.
 Andinichthys bolivianensis Gayet, 1988.
 Genus Hoffstetterichthys Gayet, 1990.
 Hoffstetterichthys pucai Gayet, 1990.
 Genus Incaichthys Gayet, 1990.
 Incaichthys suarezi Gayet, 1990.
 Genus Yuskaichthys Bogan, Agnolin & Scanferla, 2018.
 Yuskaichthys eocenicus Bogan, Agnolin & Scanferla, 2018.

References

Cretaceous first appearances
Eocene extinctions
Cretaceous bony fish
Prehistoric ray-finned fish families
Prehistoric fish of South America
Catfish of South America
Catfish families


Samuel Cobb may refer to:

 Samuel Cobb (poet) (c. 1675–1713), English poet, school master, classicist, and translator of Chaucer
 Samuel C. Cobb (1826–1891), American politician, mayor of Boston

See also
 Samuel Cobb House, Portland, Oregon
 USNS Samuel L. Cobb, an American transport ship