Page 1933 - Week 05 - Thursday, 16 May 2019

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(9) Total volumes of waste going to landfill, as provided by Transport Canberra and City Services Directorate, are as follows:

Commercial and industrial and household waste:

In tonnes

(a) 2013-14

(b) 2014-15

(c) 2014-15

(d) 2016-17

(e) 2017-18

Commercial and industrial

114,275t

111,542t

109,007t

108,496t

117,269t

Households

102,852t

111,156t

119,701t

122,102t

118,258t

Total from commercial and industrial, and households

217,127t

222,698t

228,708t

230,598t

235,527t

Construction and demolition waste:

In tonnes

2013-14

2014-15

2014-15

2016-17

2017-18

Mr Fluffy Construction and demolition waste

-

1,766t

79,202t

201,972t

89,954t

Construction and demolition waste (excluding Mr. Fluffy)

21,178 t

19,330t

11,399t

78,721t

15,449t

(10) Total emissions from the waste sector from 2013-14 to 2017-18, as calculated by the independent consultant as part of the 2017-18 ACT Greenhouse Gas Inventory, and the corresponding percentage of total emissions per year are as follows:

a) 105.6 kt CO2-e (2.7%)

b) 116.4 kt CO2-e (2.9%)

c) 116.7 kt CO2-e (2.8%)

d) 99.9 kt CO2-e (2.5%)

e) 72.4 kt CO2-e (2.1%)

(11) The 40% reduction target is measured through emissions across all sectors, recognising that different sectors will change at different rates. The new climate change strategy, currently under development, will contain actions with a focus on the natural gas and transport sectors. These will be the two largest emitting sectors beyond 2020.

Hospitals—patient data
(Question No 2347)

Mrs Dunne asked the Minister for Health and Wellbeing, upon notice, on 22 March 2019:

(1) At any time since January 2017, was any medical imaging department patient data in existence that could not be matched to the patient’s name (“orphan” data); if so, how many such instances were identified during that period and of those (a) how many were matched to patient names, (b) what process was employed to make the matches, (c) what was the shortest time period for those matchings to be made and (d) what was the longest time period, for those matchings to be made.

(2) How did it occur that “orphan” data came into existence.

(3) Were any “orphan” data in existence as at the date on which this question was published in the questions on notice paper; if yes (a) how many and (b) why.


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