Can Landuse Landcover changes influence the success of India's national clean air plans ?

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Diljit Kumar Nayak, Gazala Habib, Sri Harsha Kota
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Abstract

India implemented a range of multifarious strategies to address the issue of substandard air quality. One such flagship scheme of government of India is National Clean Air Programme (NCAP), which recommends sector specific reduction in emissions and increase in forest cover etc. To reduce particulate matter concentrations by 40% in 2026 compared to 2019. The present study aims to gauge the impact of Land Use Land Cover (LULC) changes alone on success of NCAP, using weather research forecasting model with chemistry (WRF-Chem) and integrated geographical information system and remote sensing software Terrset. The findings elucidate that, by the year 2026, the Ventilation Coefficient (VC) in India's eastern, central, northern, and north-eastern regions is anticipated to register a decline ranging from 18% to 50% compared to the baseline year of 2019. Conversely, an increase of 17% is expected in the southern region. The alterations in Fallow Land, Barren and sparsely vegetated land, Urban and Built-up Land, and Tundra, contribute to these shifts, displaying varying percentage changes across distinct zones. Simulations indicate that these LULC changes are impeding the planned reduction in PM2.5 levels. Projections suggest an increase in PM2.5 levels as high as 13% in the eastern, central, northern, and north-eastern regions, accompanied by a decrease of 33% in the Southern zone of the country. Significantly, non-attainment cities in Himachal Pradesh and Maharashtra are expected to witness a substantial rise in PM2.5-induced premature mortality, with Pune city projected to experience over 24,525 additional premature deaths by 2026. A comparable examination conducted for the year 2022, utilizing actual LULC data, suggests that if the NCAP fails to effectively implement LULC changes, it may reduce this anticipated trade-off. Addressing this concern, the study employed WRF-Chem to simulate 60 combinations, proposing LULC enhancements conducive to improving VC. The results underscore the critical importance of preserving at least 36% of the LULC category of mixed forest land, encompassing plantations, orchards, and areas under shifting agriculture. Additionally, a reduction in barren land and fallow land emerges as pivotal for enhancing the ventilation coefficient. The study accentuates the necessity of refraining from further expansion in densely populated areas to counter these anticipated VC trends. This study provides valuable insights, highlighting the need to prioritize LULC management to effectively combat the alarming air pollution.

Abstract Image

土地利用的变化能否影响印度国家清洁空气计划的成功?
印度实施了一系列多元化战略来解决空气质量不达标的问题。印度政府的旗舰计划之一是 "国家清洁空气计划"(NCAP),该计划建议各部门减少排放,增加森林覆盖率等。到 2026 年,颗粒物浓度将比 2019 年降低 40%。本研究旨在利用化学气象研究预测模型(WRF-Chem)以及综合地理信息系统和遥感软件 Terrset,评估土地利用、土地覆盖(LULC)变化本身对国家清洁空气计划成功实施的影响。研究结果表明,到 2026 年,印度东部、中部、北部和东北部地区的通风系数(VC)预计将比基准年 2019 年下降 18% 至 50%。相反,南部地区预计将增加 17%。休耕地、贫瘠和植被稀疏的土地、城市和建筑用地以及苔原的变化导致了这些变化,在不同区域显示出不同的百分比变化。模拟结果表明,这些土地利用、土地利用变化和植被变化正在阻碍按计划降低 PM2.5 水平。预测表明,在东部、中部、北部和东北部地区,PM2.5水平上升了13%,而在该国南部地区则下降了33%。值得注意的是,喜马偕尔邦和马哈拉施特拉邦的非达标城市因 PM2.5 导致的过早死亡人数预计将大幅上升,其中浦那市预计到 2026 年将增加 24525 名过早死亡者。利用实际的土地利用、土地利用的变化(LULC)数据对 2022 年进行的类似研究表明,如果国家空气污染行动计划不能有效地实施土地利用、土地利用的变化,可能会减少这种预期的权衡。针对这一问题,研究采用 WRF-Chem 模拟了 60 种组合,提出了有利于改善脆弱性的 LULC 增强措施。结果表明,保留至少 36% 的 LULC 类混合林地至关重要,其中包括种植园、果园和轮作农业区。此外,减少荒地和休耕地也是提高通风系数的关键。研究强调,必须避免在人口稠密地区进一步扩张,以应对这些预期的气候变化趋势。这项研究提供了宝贵的见解,强调了优先考虑土地利用、土地利用的变化和林业管理的必要性,以有效解决令人担忧的空气污染问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
CiteScore
8.00
自引率
0.00%
发文量
47
审稿时长
12 weeks
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