Abstract
Alteration in land use is one of the primary causes of global environmental change. Rapid variations in Land Use Land Cover (LULC) have also occurred in the already vulnerable Indian Himalayan Region (IHR) for the last few decades. These activities are highly influenced by anthropogenic activities and have more severe consequences on the air quality of the high-altitude area of IHR. In this study, the relationship between LULC alteration and changes in air quality (CO, SO2, O3, PM10, and PM2.5) have been assessed for Beas valley of Kullu district, IHR. Using LANDSAT imagery and MERRA-2 data, the impact of Spatio-temporal Land Cover Changes on air quality (CO, SO2, O3, PM10, and PM2.5) over 20 years for Beas valley of Kullu district, IHR has been monitored. Also, temporal changes in Land Surface Temperature (LST) over major LULC categories in the Beas Basin, where anthropogenic activities play a crucial role in altering a natural ecosystem, have been examined. Furthermore, the relationship of vegetation (NDVI), snow cover (NDSI), settlements (NDBI), and moisture content (NDMI) with LST have also been established using the coefficient of correlation for the study area. Observation data revealed that the average monthly surface concentration of CO showed a moderate increase of 15% in 2020 than that of 2000. Whereas MERRA-2 data revealed that the average concentration of particulate matters such as PM10, PM2.5 showed a huge increase of 60.32% and 41.30% respectively in 2020 than that of 2000. The primary outcome of the paper, we believe, will be helpful to get the quantified information about the land-use alteration over the period and possible impact on the air quality in the Beas Valley.
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References
Jeevalakshmi, D., Reddy S.N., Manikiam B.: Land surface temperature retrieval from LANDSAT data using emissivity estimation. Int. J. Appl. Eng. Res. 12(20), 9679–9687. ISSN 0973-4562
Karnieli, A., Agam, N., Pinker, R.T., Anderson, M., Imhoff, M.L., Gutman, G.G.: Use of NDVI and land surface temperature for drought assessment: merits and limitations. J. Clim. 23, 618–633 (2010)
Nikam, B.R., Ibragimov, F., Chouskey, A., Garg, V., Aggarwal, S.P.: Retrieval of land surface temperature from Landsat 8 TIRS for the command area of Mula irrigation project. Environ. Earth Sci. 75, 1169 (2016)
Ramanathan, V., Crutzen, P., Kiehl, J., Rosenfeld, D.: Aerosols, climate and the hydrological cycle. Science 294(5549), 2119–2124 (2001)
Wan, Z., Wang, P., Li, X.: Using MODIS land surface temperature and normalized difference vegetation index products for monitoring drought in the southern Great Plains, USA. Int. J. Remote Sens. 25(1), 61–72 (2004)
Purwanto, U.D.H., Kurniawan, B.R.: Spatio temporal analysis trend of land use and land cover change against temperature based on remote sensing data in Malang city. Proc. Soc. Behav. Sci. 227, 232–238 (2016)
Pal, S., Ziaul, S.: Detection of land use and land cover change and land surface temperature in English Bazar urban centre. Egypt J. Remote Sens. Space Sci. 20(1), 125–145 (2017)
Igun, E., Williams, M.: Impact of urban land cover change on land surface temperature. Glob. J. Environ. Sci. Manag. 4(1), 47–58 (2018)
Nzoiwu, C.P., Agulue, E.I., Mbah, S., Igboanugo, C.P.: Impact of land use/land cover change on surface temperature condition of Awka Town, Nigeria. J. Geogr. Inf. Syst. 09(06), 763–776 (2017)
Bhuiyan, M.A.E., Witharana, C., Liljedahl, A.K.: Use of very high spatial resolution commercial satellite imagery and deep learning to automatically map ice-wedge polygons across Tundra vegetation types. J. Imaging 6(12), 137 (2020)
Hegazy, I.R., Kaloop, M.R.: Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. Int. J. Sustain. Built. Environ. 4(1), 117–124 (2015)
John, J., Bindu, G., Srimuruganandam, B., Wadhwa, A., Rajan, P.: Land use/land cover and land surface temperature analysis in Wayanad district, India, using satellite imagery. Ann. GIS 26(4), 343–360 (2020). https://doi.org/10.1080/19475683.2020.1733662
Xu, G., Jiao, L., Zhao, S., Yuan, M., Li, X., Han, Y., Zhang, B., Dong, T.: Examining the impacts of land use on air quality from a spatio-temporal perspective in Wuhan. China. Atmos. 7, 62 (2016)
Superczynski, S., Christopher, S.: Exploring land use and land cover effects on air quality in Central Alabama using GIS and remote sensing. Remote Sens. 3, 2552–2567 (2011)
Survey Documents District Kullu, https://emerginghimachal.hp.gov.in/miningstone/survay_docs/kullu.pdf
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Ghosh, S., Lata, R., Thakur, I., Gouda, K.C., Kuniyal, J.C. (2022). Estimating the Impact of Spatio-temporal Land Cover Changes on Land Surface Temperature and Air Quality Using Satellite Data in Beas Valley, Himachal Pradesh, India. In: Yulihastin, E., Abadi, P., Sitompul, P., Harjupa, W. (eds) Proceedings of the International Conference on Radioscience, Equatorial Atmospheric Science and Environment and Humanosphere Science, 2021. Springer Proceedings in Physics, vol 275. Springer, Singapore. https://doi.org/10.1007/978-981-19-0308-3_52
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DOI: https://doi.org/10.1007/978-981-19-0308-3_52
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