2. Abour National Clean Air Programme (NCAP)

The National Clean Air Programme (NCAP) was initiated by the Indian government to address the alarming levels of atmospheric pollution, particularly the concentration of Particulate Matter (PM). Under NCAP, cities in India exceeding annual PM levels are required to develop and execute Clean Air Action Plans (CAAPs) annually. To support this initiative, the Ministry of Environment, Forest, and Climate Change has allocated ₹10,422.73 crore.

Challenges in NCAP Implementation

Despite the proactive submission of CAAPs by most cities, the implementation of NCAP has faced inconsistencies. According to the Ministry, only 60% of the allocated funds have been utilized on average, with 27% of cities spending less than 30% of their designated budgets. Notably, cities like Visakhapatnam and Bengaluru have spent minimal percentages of their NCAP funds, hindering progress.

Barriers to Implementation

• Delays in implementation primarily stem from bureaucratic hurdles and a lack of standard operating procedures.
• Approval delays from competent authorities, such as technical specifications for tendering processes and procurement of necessary equipment like mechanical sweepers and electric buses, have been significant impediments.
• Additionally, the absence of well-defined timelines and time-consuming tasks further exacerbate delays.
• Overcoming these challenges requires a systematic approach integrating Emissions Inventory (EI), Air Quality (AQ) modelling, and Source Apportionment (SA).
• Recent findings questioning the efficacy of outdoor smog towers have also fueled doubts among decision-makers, necessitating a comprehensive reevaluation of proposed mitigation measures.

3. Role of Scientific Tools in Pollution Management

Scientific tools play a crucial role in addressing air pollution challenges, particularly in identifying and understanding its origins.

• EI studies provide valuable insights into local pollution sources and their contributions, enabling experts to forecast future emissions and shape targeted pollution control strategies.
• Despite their usefulness, EI studies have limitations, especially in assessing the impact of transboundary pollution sources, such as stubble burning outside Delhi, on local air quality.
• SA studies offer detailed analyses of contributions from various pollution sources, including distant ones.
• However, they lack predictive capabilities and require substantial resources for chemical analysis.
• Additionally, SA studies struggle to differentiate between pollution origins with similar chemical signatures, such as emissions from diesel trucks nearby versus those further away.
• AQ modelling bridges gaps left by EI and SA studies by informing our understanding of pollution dispersion, including from distant sources.
• By simulating the movement of pollutants in the atmosphere, AQ modelling enhances our ability to assess and mitigate air pollution's impacts.

4. Utilization of Scientific Data in Air Pollution Management

• Cities ideally utilize Emissions Inventory (EI) and Source Apportionment (SA) data to identify air pollutants and devise targeted mitigation measures for each polluting activity.
• However, according to the Portal for Regulation of Air Pollution in Non-Attainment Cities, only 37% of cities have completed EI and SA studies, leaving 63% without a clear understanding of their air pollution sources.
• This lack of data raises concerns about the effectiveness of Clean Air Action Plans (CAAPs), as cities may not accurately gauge the emission reduction potential of proposed measures.
• To address this, cities must establish proper yearly targets based on their potential and infrastructure capabilities.

Challenges and Considerations

• The reliance of the National Clean Air Programme (NCAP) on concentration data, which measures population exposure to pollution, adds complexity.
• Pollution from high-emitting industries and sources beyond city limits, transported into urban areas by wind, complicates urban air quality management.
• Additionally, many existing control measures primarily target primary PM emissions, overlooking their secondary precursors.
• There's a need for a shift towards comprehensive strategies addressing both primary and secondary pollutants.
• Furthermore, while NCAP aims to establish infrastructure for air quality forecasting, only a few cities like Delhi, Pune, Mumbai, and Ahmedabad have implemented decision-support systems.
• Implementing such systems across cities is crucial for timely and effective pollution management.

5. Key Factors for NCAP Success

The success of the National Clean Air Programme (NCAP) relies on several critical elements beyond just data and models.

• Efficient implementation on the ground is paramount. To achieve this, implementation agencies must streamline bureaucratic processes by adopting shared, standardized technical evaluations. This will expedite the execution of NCAP initiatives and ensure timely action on pollution reduction measures.
• Given that NCAP funding is tied to cities' performance in reducing annual average PM concentrations, proactive budgeting and meticulous time management are essential. Initial plans should encompass thorough assessments of technical feasibility, budget requirements, and timeframes to facilitate successful execution.
• NCAP's vision for cleaner air in India necessitates a multifaceted approach. Success requires integrating rigorous scientific studies, strategic allocation of funds, and prompt, efficient implementation of mitigation measures.

6. The Way Forward

The successful implementation of the NCAP requires concerted efforts to address challenges, utilize scientific data effectively, and adopt a comprehensive approach towards pollution management. By addressing these key factors, India can make significant progress towards achieving cleaner air for its citizens.