PROJECT WORKFLOW DEFINITIONS ALCIS QUALITY MANAGEMENT SYSTEM PROJECT CODE AI0015 Resource Corridors - SE Copper Segment Pilot PROJECT NAME Study PROJECT MANAGER Marcus Polley PROJECT DIRECTOR Tim Buckley Task Description: 002 Background The World Bank, in collaboration with the Afghanistan Ministry of Mines and Australian Aid, is planning to develop a number of resource corridors across Afghanistan over the next 8 to 10 years. As part of the initial planning, the World Bank is conducting detailed analysis of the potential corridors that have so far been identified. Part of this analysis will cover the communities affected by the development of these corridors and the identification of potential locations for additional soft projects within the developing resource corridors. Alcis holds a range of spatial datasets that can support this analysis of the communities within the resource corridors. Resource Corridors Task 2 Method Statement Alcis has developed a methodology for working with multiple layers of information about the human and natural environment of Afghanistan, assigning a score for each 250m square area (a cell) within the South-East Copper Segment Corridor, to indicate their level of ‘development potential’. A second process revolves around the evaluation of mean statistics within 5km square areas placed across the ‘development potential’ landscape, and bringing additional intelligence and local knowledge to select and refine 5km square areas of interest. Additional data sources brought in at this point include high resolution imagery and existing topographic mapping. Part 1 Generation of ‘Development Potential’ Landscape The method of generating the ‘development potential’ landscape is described in brief below. The method recognises those datasets that have a greater impact on development potential. The method has been based on trials in other parts of Afghanistan, where very good local knowledge has been used to confirm that the outputs match local conditions. Alcis knowledge of Afghanistan is based on 8 years of continuous deployment to the country, with access to unique datasets, including helicopter-based photography, sub-metre resolution satellite imagery and existing digital map data that Alcis has access to through data sharing agreements. Roads Cells are given a score if they fall within 5km of a road, the value of which is based on the road surface type, which is then multiplied by 2 before their integration with other layers, giving scores that range between 0 and 10. Attribute (WTC) Score given Surface type All Weather 5 x2 Fair Weather 2 x2 Markets Cells are scored if they fall within 10km of a market, the scores being influenced by both the market type and the normal number of days of operation. Operating Days Market Type Score given Very High High Medium Low >=2 Days Markets 3 x5 x4 x3 x2 x2 Bazaars 2 x5 x4 x3 x2 x2 Open-Air Bazaar 1 x5 x4 x3 x2 x2 Scores ranging from 2-15 are then re-classified into 10 classes using a ‘Natural Breaks’ approach. Electricity Annual averages of Lights-at-Night data from the DMSP satellite, covering 2008-2010, are used to determine cells with stable illumination along the corridor, which are then categorised into 11 classes, according to their level of intensity. Original Reclass Values Values 0-1 0 1-7 1 7 - 12 2 12 - 19 3 19 - 26 4 26 - 33 5 33 - 40 6 40 - 46 7 46 - 52 8 52 - 58 9 58 - 63 10 Agriculture Cells which fall within areas of agriculture are scored according to the quality of agriculture present, which has taken into account areas of irrigation. Where cells do not fall within an agricultural area, they receive a score of zero. Type Value Very High 4 High 3 Moderate 2 Marginal 1 NoData 0 District Data Districts have been scored according to the infrastructure present, their record of development project delivery and capacity for governance. A final score is given to each cell using the formula below, giving final scores that range between 0 and 10: Final score = ((Infrastructure) + (projects/2) + ( capacity))/4 A sample of what this data consists of is shown below: Province 1. 2. 3. Final District Infrastructure Capacity Projects Score Badakhshan Arghanj Khwah 2 10 2 3 Argo 10 10 2 5 Baharak 12 10 2 6 This data is based on collation of original data prepared by ISAF, CSO, MRRD and MAIL. National Solidarity Programme Projects (NSPs) NSP data is collected and collated by the Ministry of Rural Rehabilitation and Development (MRRD). In this dataset, cells are scored according to both $USD spent and type of project present, where project types that have a greater bearing on development alternatives are weighted higher, with the result being reclassified into 10 values. 143 different types of project are identified, with scores ranging from 1-10. These project types and scores are shown in Appendix A. District Centres Cells are scored from 1-10 according to both their distance to district centres, and the size of the district centre itself, the assumption being that larger, more urbanized locations are better able to access governance and security, and have a larger sphere of influence. Buffer Sizes (km) and Score DC Size m² 1 2 3 4 5 6 7 8 9 10 >= 10,000,000 40 36 32 28 24 20 16 12 8 4 >= 2,500,000 & < 10,000,000 30 27 24 21 18 15 12 9 6 3 >= 1,000,000 & < 2,500,000 20 18 16 14 12 10 8 6 4 2 >= 500,000 & < 1,000,000 10 9 8 7 6 5 4 3 2 1 < 500,000 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 Provincial Centres As with District Centres, cells are scored according to both their distance to provincial centres, and the size of the provincial centre itself, with Kabul being given special consideration. Again, there is an assumption that a larger provincial centre has a larger, positive sphere of influence on development potential. Buffer Sizes (km) and Score PC Size m² 1 2 3 4 5 6 7 8 9 10 >= 10,000,000 40 36 32 28 24 20 16 12 8 4 >= 1,000,000 & < 10,000,000 30 27 24 21 18 15 12 9 6 3 < 1,000,000 20 18 16 14 12 10 8 6 4 2 Kabul 50 45 40 35 30 25 20 15 10 5 Final Weightings Each of the scores in the layers above is multiplied according to the following table, to give a final score. Roads x2 Markets X3 Electricity X1 Quality of Agriculture X5 District Level Data X1 Project NSPs X1 Distance to District Centre X1.5 Distance to Provincial Centre X2 The image below shows the output from stage 1 of the processing, showing the Development Potential across the South East Copper Resource Corridor. Part 2 Area of Interest Selection GIS provides the tools to allow multiple Areas of Interest (AOIs), each 5km squares, to be evaluated against the underlying ‘development potential’ landscape, allowing comparisons of statistics to guide positioning and final selection of those AOIs that meet the project criteria. Alcis has used mean ‘development potential’ scores close to 100 and 140 as the basis to select AOIs that are either ‘most advantaged’ or ‘less advantaged’, as shown in the table and graph below: The above graph shows three squares that are considered ‘most advantaged’ and three that are ‘less advantaged’ factor, as confirmed through knowledge of local conditions in parts of the region. These are ordered from left to right along the South East Copper Segment Resource Corridor. APPENDIX A: National Solidarity Programme Project Scores: Agriculture Emergency Response Extension Construction Construction Canal 8 Chicken farm 10 House Building (Shelter) 1 Karez 5 Cold Storage 10 Rehabilitation Pipe Scheme 4 Husbandry Farm 10 House Building (Shelter) 1 Protection Wall 4 Distribution Health Rehabilitation Fertilizer 10 Construction Aqueducts 8 Planting Clinic Boundary Wall 1 Canal 8 Planting 10 Clinic Building 2 Dam 8 Service Hospital Building 4 Dam Diversion 8 Beekeeping 9 Pharmacy Building 2 Drainage 7 Education Extension Intake 5 Construction Clinic Building 3 Karez 5 High School Building 1 Irrigation Pipe Scheme 4 Kindergarten Boundary Wall 1 Cleaning Siphon 4 Kindergarten Building 1 Canal 8 Spring Box 5 Primary School Building 1 Dam 8 Super Passage 6 School Boundary Wall 1 Drainage 8 Water Reservoir 7 Secondary School Building 1 Intake 8 Livelihood Training Center 1 Karez 5 Construction Extension Spring Box 5 Bakery 7 High School Building 1 Stream 5 Flour Mills 9 Primary School Building 1 Construction Market # Secondary School Building 1 Aqueducts 8 Store 8 Rehabilitation Canal 8 Rehabilitation High School Building 1 Dam 8 Bakery 5 Primary School Building 1 Dam Diversion 8 Flour Mills 6 School Boundary Wall 1 Drainage 7 Supply Secondary School Building 1 Gabion Wall 4 Animal Raising 8 Supply Intake 5 Carpet Looms 7 School Furniture 1 Karez 5 Embroidery Machine 7 School Supply 1 Pipe Scheme 4 House Ware (Rental) 7 Training Protection Wall 4 Tailoring Machine 7 Literacy Course (Female) 3 Siphon 4 Wool Spinning 7 Literacy Course (Male) 3 Spring Box 5 Weaving Vocational Training 6 Stream 5 Carpet Looms 7 Super Passage 6 Water Divider 5 Water Reservoir 7 Power Transport Construction Construction Basic Access Latrine 1 Micro-Hydro Power Plants 9 Secondary Road 7 Public Bath 1 Power House 9 Tertiary Road 5 Toilet 1 RCC Power Poles 7 Bituminous Pavement Water Filtration Chambers 3 Steel Power Poles 7 Secondary Road 8 Water Supply Network 2 Installation Tertiary Road 6 Water Supply Reservoir 2 Micro-Hydro Power Plants 9 Construction Education Transformer 9 Bridge 7 Hygiene Education 2 Rehabilitation Culvert 2 Extension Gas Network 9 Foot Bridge 5 Water Supply Network 2 Micro-Hydro Power Plants 9 Pathway 5 Installation Power House 9 Retaining Wall 1 Hand Pump 2 Supply Side Ditch 1 Rehabilitation Diesel Generator 8 Wash 1 Public Bath 1 Micro-Hydro Power Plants 9 Gravelling Shallow Well 2 Power line 9 Secondary Road 7 Water Filtration Chambers 3 Solar Panel 10 Tertiary Road 5 Water Supply Network 2 Wind Mills 10 Rehabilitation Water Supply Reservoir 2 Public Building Culvert 1 Supply Construction Foot Bridge 5 Water Tanker 2 Administrative Building 1 Pathway 5 Mosque 1 Retaining Wall 1 Rural Development Stone Pavement Construction Secondary Road 7 Community Centre 1 Tertiary Road 5 Community Centre Boundary Water Supply & Wall 1 Sanitation Sport Center 1 Boring Extension Deep Well 8 Community Centre 1 Shallow Well 7 Rehabilitation Cleaning Community Centre 1 Water Filteration Chambers 3