Format:
1 Online-Ressource (117 Seiten)
Edition:
1st ed
ISBN:
9781464818387
Series Statement:
South Asia Development Matters Series
Note:
Description based on publisher supplied metadata and other sources
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Front Cover -- Contents -- Foreword -- Acknowledgments -- Main Messages -- Executive Summary -- Abbreviations -- 1 Introduction -- Overview -- References -- 2 Air Quality in South Asia -- Introduction -- Key Features of Air Pollution in South Asia -- Implications for AQM in South Asia -- The Importance of Airshed Management for South Asia -- Annex 2A: Application of GAINS Modeling in South Asia -- Notes -- References -- 3 Cost-Effective Measures for Reducing Ambient Air Pollution in South Asia -- Introduction -- Four Air Quality Management Approaches That Go above and beyond the Current Policies -- Implications for AQM: The Need for Airshedwide Air Quality Management -- Notes -- References -- 4 Benefits of Reduced Air Pollution -- Health Impacts of Air Pollution -- Economic Benefits of Reduced Air Pollution -- Preventing Premature Mortality -- Annex 4A: Health Impact Calculations -- Annex 4B: COVID-19 and Air Pollution Link -- Notes -- References -- 5 A Road Map for Airshedwide Air Quality Management -- Introduction -- Phase I: More and Better Monitoring and Improved Institutions -- Phase II: Additional and Joint Targets for Cost-Effective Abatement -- Phase III: Mainstreaming Air Quality in the Economy -- Despite Ample Opportunities, Serious Obstacles Remain -- References -- Boxes -- Box 4.1 Empirical Methods to Estimate the Effects of Air Pollution on Health Outcomes -- Box 4.2 Cost-Benefit Analysis of Policies to Reduce Air Pollution -- Box 4.3 Improved Cookstoves and Cleaner Fuels in India -- Box 5.1 Experiences around the Globe to Improve Air Quality -- Box 5.2 Fine Particulate Matter Exposure and per Capita Expenditures in India -- Box 5.3 Synergies between Air Quality Management and Climate Change Policies -- Figures
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Figure ES.1 Exposure Reductions and Costs of Associated Emissions Controls for the Four Modeled Scenarios in the South Asia Region in 2030 -- Figure 1.1 Spatial and Sectoral Origin of Fine Particulate Matter in Ambient Air, Delhi National Capital Territory, 2018 -- Figure 2.1 Information Flow in the GAINS Model -- Figure 2.2 Modeled Average Fine Particulate Concentrations by Source for 10 × 10-Kilometer Grid Cells Compared with Observations from Monitoring Stations Located within the Grid Cells in Delhi NCT, 2018 -- Figure 2.3 Contributions to Population-Weighted Fine Particulate Matter Exposure in Cities on the Indo-Gangetic Plain by Source, 2018 -- Figure 2.4 Contributions to Population-Weighted Fine Particulate Matter Exposure in Cities beyond the Indo-Gangetic Plain by Source, 2018 -- Figure 2.5 Contributions to Population-Weighted Fine Particulate Matter Exposure in Selected Cities in South Asia by Source, 2018 -- Figure 2.6 Spatial Origin of Population-Weighted Fine Particulate Matter Exposure in Cities on the Indo-Gangetic Plain, 2018 -- Figure 2.7 Spatial Origin of Population-Weighted Fine Particulate Matter Exposure in Indian Cities beyond the Indo-Gangetic Plain, 2018 -- Figure 2.8 Spatial Origin of Population-Weighted Fine Particulate Matter Exposure in Selected Cities in South Asia, 2018 -- Figure 2.9 Source Allocations of Population Exposure to Total Fine Particulate Matter and Primary versus Secondary Fine Particulate Matter in Patna, Bihar State, India, 2018 -- Figure 2.10 Source Allocations of Population Exposure to Total Fine Particulate Matter and Primary versus Secondary Fine Particulate Matter in Chennai, Tamil Nadu State, India, 2018 -- Figure 2.11 Source Allocations of Population Exposure to Total Fine Particulate Matter and Primary versus Secondary Fine Particulate Matter in Dhaka, Bangladesh, 2018
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Figure 2.12 Source Allocations of Population Exposure to Total Fine Particulate Matter and Primary versus Secondary Fine Particulate Matter in Kathmandu, Nepal, 2018 -- Figure 2.13 Source Allocations of Population Exposure to Total Fine Particulate Matter and Primary versus Secondary Fine Particulate Matter in Rawalpindi, Pakistan, 2018 -- Figure 2.14 Source Allocations of Population Exposure to Total Fine Particulate Matter and Primary versus Secondary Fine Particulate Matter in Colombo, Sri Lanka, 2018 -- Figure 3.1 Indicator Trends for Population, Economic Development, and Energy Use Assumed in the Baseline Scenario for the South Asia Region, 2018-30 -- Figure 3.2 Changes in Fine Particulate Matter, Precursor Emissions in South Asia, and Key Factors Leading to Decoupling from GDP Growth, 2018-30 -- Figure 3.3 Modeled Mean Population Exposure to Fine Particulate Matter in Selected Regions, 2018 and 2030 -- Figure 3.4 Modeled Potential Improvements in Population Exposure to Fine Particulate Matter Due to Full Implementation of the Maximum Technically Feasible Emissions Reductions Scenario for the Analyzed Regions, 2030 -- Figure 3.5 Improvements in Exposure to Fine Particulate Matter from the Measures Taken in the Ad Hoc Selection of Measures Scenario, 2030 -- Figure 3.6 Exposure Reductions and Costs of Associated Emissions Controls for the Four Modeled Scenarios for the South Asia Region, 2030 -- Figure 3.7 Impacts of Emissions Control Measures on Mean Exposure to Fine Particulate Matter in South Asia, 2030 -- Figure 3.8 Additional Costs beyond 2018 Legislation by Sector in 2030 under the Toward the Next Lower WHO Interim Target Scenario
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Figure 3.9 Fine Particulate Matter Exposure Reductions in the Toward the Next Lower WHO Interim Target Scenario That Emerge from Measures Taken within a Region, Country, State, or Province, and from Measures Taken at Upwind Sources in Other Areas -- Figure 3.10 Data Sources and Calculation Steps for the Cost-Effectiveness Analysis Using the GAINS Model -- Figure 4.1 The Potential Health Effects of Air Pollution across the Life Cycle -- Figure 4.2 Projected Regional Reductions in Baseline Deaths Due to Exposure to Fine Particulate Matter by Region, 2030 -- Figure 4A.1 Integrated Exposure-Response Relative Risk of Ischemic Heart Disease, People Aged 65-70, by Fine Particulate Matter Concentration -- Figure 5.1 Fine Particulate Matter Exposure Reductions in the Toward the Next Lower WHO Interim Target Scenario from Local Measures in Indo-Gangetic Plain States and Provinces and from Measures Taken in Neighboring Provinces, Compared with the Full Potential Offered by All Technically Feasible Emissions Reductions, 2030 -- Figure B5.2.1 The Relationship between PM2.5 Exposure and Monthly per Capita Expenditures -- Figure 5.2 Marginal Costs for Additional Measures in Uttar Pradesh, India, 2030 -- Figure B5.3.1 Reductions in GHG Emissions Resulting from Lower PM2.5 -- Maps -- Map ES.1 Six Major Airsheds in South Asia Based on Fine Particulate Concentrations, Topography, and Fine Particulate Transportation between Source Regions -- Map 2.1 Contributions of Natural and Anthropogenic Emissions Sources to Ambient Concentrations of Fine Particulate Matter, 2018 -- Map 2.2 Concentrations of Primary and Secondary Fine Particulate Matter Originating from Human Activity, 2018 -- Map 2.3 Concentrations of Fine Particulate Matter in Ambient Air Originating from Key Emissions Sectors, 2018
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Map 2A.1 The 31 Emissions Source Regions Used for Modeling Purposes in This Analysis -- Map 2.4 Six Major Airsheds in South Asia Based on Fine Particle Concentrations, Topography, and Fine Particle Transportation between Source Regions -- Map 3.1 Ambient Concentrations of Fine Particulate Matter in South Asia in 2018 and 2030 with Emissions Controls Implemented and with Full Implementation of Measures Enacted between 2015 and 2018 -- Map 3.2 Ambient Concentrations of Fine Particulate Matter in 2018 and the Scenarios for 2030 -- Map 4.1 Projected Number of People Exposed to Household Air Pollution, 2030 Baseline -- Map 4.2 Projected Deaths Due to Ambient Fine Particulate Matter Exposure, 2030 Baseline -- Map 4.3 Projected Deaths Due to Household Exposure to Fine Particulate Matter, 2030 Baseline -- Map 5.1 Suggested Airsheds on the Indo-Gangetic Plain -- Map B5.1.1 California: 58 Counties Organized into 35 Air Quality Management Districts and 15 Air Basins -- Map B5.1.2 Air Quality Management in the European Union: Institutions, Scale, and Responsibilities -- Map B5.1.3 The Expanded Jing-Jin-Ji Airshed, with Two Municipalities and 26 Prefectures, on the North China Plain, China -- Map 5.2 High Overlap between Poverty and Poor Air Quality in South Asia -- Tables -- Table ES.1 Four Modeled Scenarios for Air Quality Management in South Asia -- Table 3.1 Four Modeled Approaches to Air Quality Management in South Asia -- Table 4.1 Benefit-to-Cost Ratio in 2030 Based on Changes in Morbidity -- Table 4.2 Projected Population-Weighted Exposure to Ambient and Household Fine Particulate Matter, 2030 -- Table 4.3 Projected Premature Deaths from Exposure to Fine Particulate Matter, 2030 Baseline -- Table 4.4 Projected Reductions in Premature Deaths from Exposure to Fine Particulate Matter by Scenario, 2030
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Table 4A.1 Exposure to Ambient and Household Fine Particulate Matter and Baseline Deaths, 2030
Additional Edition:
Erscheint auch als Druck-Ausgabe The World Bank, The World Striving for Clean Air Washington, D. C. : World Bank Publications,c2023 ISBN 9781464818318
Language:
English
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