BILL NUMBER: AB 700	AMENDED
	BILL TEXT

	AMENDED IN ASSEMBLY  APRIL 10, 2007

INTRODUCED BY   Assembly Member Lieu

                        FEBRUARY 22, 2007

   An act  to add Section 39607.7 to the Health and Safety Code,
  relating to air pollution.


	LEGISLATIVE COUNSEL'S DIGEST


   AB 700, as amended, Lieu. Air pollution: Santa Monica Airport.
   Existing law imposes various limitations on emissions of air
contaminants for the control of air pollution from vehicular and
nonvehicular sources. The State Air Resources Board  is
designated  as the state agency with the primary responsibility
for the control of vehicular air pollution, and air pollution control
districts and air quality management districts are designated with
the primary responsibility for the control of air pollution from all
sources other than vehicular sources.
   This bill would  declare legislative intent to address the
increase in air pollution from the Santa Monica Airport, and the
effects of that pollution on the residents of the surrounding area
  require the state board to complete a study of air
pollution caused by jets and turbo-prop airplanes taking off and
landing at the Santa Monica Airport  .
   Vote: majority. Appropriation: no. Fiscal committee:  no
  yes  . State-mandated local program: no.


THE PEOPLE OF THE STATE OF CALIFORNIA DO ENACT AS FOLLOWS:

  SECTION 1.  It is the intent of the Legislature to address 
through this act  the increase in air pollution from the Santa
Monica Airport, and the effects of that pollution on the residents of
the surrounding area.
   SEC. 2.    Section 39607.7 is added to the  
Health and Safety Code   , to read: 
   39607.7.  (a) The state board shall complete a study of air
pollution caused by jets and turbo-prop airplanes taking off and
landing at the Santa Monica Airport and report its findings to the
Legislature no later than July 1, 2009.
   (b) The state board shall collect data on the taxing and idling
times of planes at the airport and other relevant data for at least
one calendar year, and utilize this data and modeling to reach its
conclusions.