{"title":"First online observations of greenhouse gases over the Central Himalayas: insights in fluxes, vegetation links, and meteorological controls.","authors":"Priyanka Srivastava, Manish Naja","doi":"10.1007/s11356-025-36428-x","DOIUrl":null,"url":null,"abstract":"<p><p>Ground observations with diurnal variability over the Himalayas are crucial to validate climate mitigation efforts, build accurate emissions inventories, and better forecasting. This study bridges the acute scarcity of such measurements by making the first online observations of CO<sub>2</sub> and CH<sub>4</sub> with CO at a mountain site (Nainital, 29.4° N, 79.5° E, 1958 m a.m.s.l.) continuously for 5 years in the Central Himalayas. Observed levels of CO<sub>2</sub> and CH<sub>4</sub> are higher than those at other background sites. The boundary layer evolution and upslope winds determine the diurnal pattern of CH<sub>4</sub> and CO, while CO<sub>2</sub> diurnal and seasonal variations are governed by biospheric uptake. Bivariate analysis shows that higher levels (> 1.98 ppm) of CH<sub>4</sub> are mostly localized and that the distribution of CO<sub>2</sub> is representative of the terrestrial ecosystem. Diurnal variations in CO<sub>2</sub> relate to the meteorology, except during spring when the anthropogenic influence breaks this covariation. Excess and background CO<sub>2</sub> and CH<sub>4</sub> are segregated, and the role of biomass burning in spring and fossil fuel combustion in raising CO<sub>2</sub> is revealed. The role of vegetation is also evaluated with the Normalized Difference Vegetation Index (NDVI) and fluxes from the CarbonTracker model. During autumn, the impact of agricultural and waste emissions on high CH<sub>4</sub> is evidenced. The limited online observations from this region also showed an increasing trend in CO<sub>2</sub> (2.66 ± 0.17 ppm yr<sup>-1</sup>) and CH<sub>4</sub> (9.53 ± 0.09 ppb yr<sup>-1</sup>), while CO has a decreasing trend (3.15 ± 1.32 ppb yr<sup>-1</sup>). The results highlight the complex interplay of anthropogenic emissions, biospheric uptake, and weather patterns with mountain features in shaping CO<sub>2</sub> and CH<sub>4</sub> levels, especially at the diurnal scale.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science and Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s11356-025-36428-x","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Ground observations with diurnal variability over the Himalayas are crucial to validate climate mitigation efforts, build accurate emissions inventories, and better forecasting. This study bridges the acute scarcity of such measurements by making the first online observations of CO2 and CH4 with CO at a mountain site (Nainital, 29.4° N, 79.5° E, 1958 m a.m.s.l.) continuously for 5 years in the Central Himalayas. Observed levels of CO2 and CH4 are higher than those at other background sites. The boundary layer evolution and upslope winds determine the diurnal pattern of CH4 and CO, while CO2 diurnal and seasonal variations are governed by biospheric uptake. Bivariate analysis shows that higher levels (> 1.98 ppm) of CH4 are mostly localized and that the distribution of CO2 is representative of the terrestrial ecosystem. Diurnal variations in CO2 relate to the meteorology, except during spring when the anthropogenic influence breaks this covariation. Excess and background CO2 and CH4 are segregated, and the role of biomass burning in spring and fossil fuel combustion in raising CO2 is revealed. The role of vegetation is also evaluated with the Normalized Difference Vegetation Index (NDVI) and fluxes from the CarbonTracker model. During autumn, the impact of agricultural and waste emissions on high CH4 is evidenced. The limited online observations from this region also showed an increasing trend in CO2 (2.66 ± 0.17 ppm yr-1) and CH4 (9.53 ± 0.09 ppb yr-1), while CO has a decreasing trend (3.15 ± 1.32 ppb yr-1). The results highlight the complex interplay of anthropogenic emissions, biospheric uptake, and weather patterns with mountain features in shaping CO2 and CH4 levels, especially at the diurnal scale.
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