GHG inventory in Zambia Michael Annel Phiri

Transcription

1 GHG inventory in Zambia Michael Annel Phiri

2 KEY Drivers for GHG Inventory in Zambia To understand the sectors contributing to GHG emissions so as to employ appropriate measures to reduce the emissions; Provide information useful for addressing other environmental issues (e.g. air quality, land use, waste management, etc.); To take advantage of the opportunities provided to access international funding for climate change Mitigation and Adaptation; To fulfil Zambia s obligation to the UNFCCC of reporting its sinks and sources; The need to understand how the country is contributing to global climate change.

3 Approaches currently used to estimate GHG emissions Institution Past approaches Consultants used to undertake inventories in the past Consultants collected secondary data from various institutions and analyzed it Produced the reports which were subjected to technical reviews Present approach Formalized institutional framework being set up An existing Institution has been appointed as GHG Unit to coordinate GHG inventory preparation ( Environmental Management Agency ) sectors leads institutions have been appointed to lead sector GHG inventory preparation Roles and responsibilities have been defined for these institutions in relation to GHG inventory

4 NCCDC MLNREP Reporting to UNFCCC ZEMA Inventory Coordinator IT and Archiving officers Inventory Compilers QA/QC System Research institutions, academia, Private sector, CSO Waste Energy LULUCF Agriculture Industrial Process ocal goverment wasco ept of Local overnment and dminstration EMA Energy planning ERB Coal thermal plant Collieries Mines CSO/ZRA IPP ZESCO INDENI OMCs ZAM/ZACCI forestry National Remote sensing Centre Survey department agriculture DoE DoP ZAWA CSO/ZRA ZEMA agriculture livestock ZNFU UNZA-agric ZARI CRB Ndola lime Uniturtle CSO/ZRA NRDC ZEMA Commerce and industry Zesco mines ZAM Ministry of Health CSO/ZRA Steel companies ZEMA ZAM/ZACCI

5 Approaches currently used to estimate GHG emissions Cont d Methodology used in GHG Inventory compilation Based on revised 1996 guidelines, partly 2006 guidelines and 2000 Good Practice Guidance Dependent on data availability IPCC software has been used to compile inventory data In addition ALU software has recently been used for LULUCF and Agriculture Data collection Institutions collect data for their own use. Mostly it is in different format Data is also used for GHG inventory

6 Innovations for Reducing GHG Inventory Costs Institutionalizing GHG inventory preparation Including GHG inventory costs as part of national budgeting process Incorporation of GHG data requirements as part of periodic national surveys conducted by Central Statistics Office Involvement of Academia for specific research needs Review of mandatory data requirement format submitted to Environmental Agency

7 Major challenges and Priorities for improving estimates Challenges Inadequate data collected Inadequate QC/QA conducted during data collection Data formats not compatible with GHG inventory reporting formats Limited capacity to undertake GHG inventory Priority areas for Improvement capacity building and training among sector lead institutions and GHG Unit in the use of various software Training of various stakeholders ( Academia and research Institutions ) Development of harmonized formats for data collection Introduction of QC\QA in sector leads in collaboration with research institutions

8 Data Gaps and methods being used to generate that Data Data Gaps Inadequate land cover maps Inadequate capture of Information from existing crop survey forms e.g. complete inventories Inadequate data on shifting cultivation practices in Zambia ( mostly expert judgment used in previous inventories) Inadequate categorization of Improved pastures. This includes all possible management practice such as liming, manure management, improved varieties irrigation, etc. What is being done to improve Data generation Use of Integrated Land Use Assessment ( ILUA) to generate land cover maps for various time series ( year 2000, 2010 ) involvement of various key institutions to provide data e.g Remote sensing Centre, Meteorological Departments among others.

9 Thanks for listening