Effects of Anthropogenic Stress and Water Security in Himalayan Urban River Watershed

  • Conference paper
  • First Online:
Recent Development in River Corridor Management (RCRM 2022)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 376))

Included in the following conference series:

  • 131 Accesses

Abstract

This study investigates the impact of changing land use and land cover patterns on the surface water deficit in the Rispana River Watershed in Dehradun, India, from 1991 to 2020. Using Landsat TM, ETM+, and OLI images in the GEE platform, the authors assess changes in vegetation, land cover, and land use, as well as climatic variables such as precipitation, evapotranspiration, and temperature. Find that the rapid expansion of urban/built-up areas, from 20% in 2005 to 64% in 2020, is one of the primary reasons for the decline in surface water area. Over the past 30 years, the maximum and average variations of surface water areas have shown a declining trend. In addition, the study find that LST has risen by 2.74 ℃ during the study period, and meteorological parameters have changed with the declining surface water area. Field surveys conducted in the pre- and post-monsoon periods confirm these findings. The study suggest that a proper management policy for watershed restoration and rejuvenation initiatives should be designed and implemented to mitigate the negative impacts of urbanization and overexploitation of natural resources. The findings of this study are relevant not only for the Rispana River Watershed but also for other regions facing similar challenges. The study highlights the need for sustainable land use practices and ecosystem management strategies that balance economic development with environmental conservation. The integration of geospatial data with hydrological, meteorological, and environmental variables at a regional scale can help policymakers and stakeholders make informed decisions for the sustainable management of river watersheds in the face of rapid urbanization and climate change.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 143.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Alesheikh AA, Ghorbanali A, & Nouri N (2007) Coastline change detection using remote sensing. Int J Environ Sci & Technol 4:61–66. https://springer.longhoe.net/article/10.1007/BF03325962 (2007). https://doi.org/10.1007/BF03325962

  2. Benedict MA, McMahon ET (2012) Green infrastructure: linking landscapes and communities. Island Press

    Google Scholar 

  3. Costanza R, De Groot R, Sutton P, Van der Ploeg S, Kubiszewski I, Turner RK (2014) Changes in the global value of ecosystem services. Glob Environ Chang 26:152–158

    Article  Google Scholar 

  4. Deng Y, Jiang W, Tang Z, Ling Z, Wu Z (2019) Long-term changes of open-surface water bodies in the Yangtze River Basin based on the google earth engine cloud platform. Remote Sens 11:2213. https://doi.org/10.3390/rs11192213

    Article  Google Scholar 

  5. Ermida SL, Soares P, Mantas V, Göttsche FM, Trigo IF (2020) Google earth engine open-source code for land surface temperature estimation from the landsat series. Remote Sensing 12(9):1471. https://doi.org/10.3390/rs12091471

    Article  Google Scholar 

  6. Fahrig L (2003) Effects of habitat fragmentation on biodiversity. Annu Rev Ecol Evol Syst 34(1):487–515

    Article  Google Scholar 

  7. Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR, Snyder PK (2005) Global consequences of land use. Science 309(5734):570–574. DOI: https://doi.org/10.1126/science.1111772

  8. Goldblatt R, You W, Hanson G, Khandelwal AK (2016) Detecting the boundaries of urban areas in india: a dataset for pixel-based image classification in google earth engine. Remote Sens 8(8):634

    Google Scholar 

  9. Gong P, Liu H, Zhang M, Li C, Wang J, Huang H, Clinton N, Ji L, Li W, Bai Y, Chen B (2019) Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to map** 10-m resolution global land cover in 2017. Sci Bull 64:370–373. https://doi.org/10.1016/j.scib.2019.03.002

    Article  Google Scholar 

  10. Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27. https://doi.org/10.1016/j.rse.2017.06.031

    Article  Google Scholar 

  11. Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Science 319(5864):756–760

    Google Scholar 

  12. Guo Q, Pu R, Li J, Cheng J (2017) A weighted normalized difference water index for water extraction using Landsat imagery. Int J Remote Sens 38:5430–5445. https://doi.org/10.1080/01431161.2017.1341667

    Article  Google Scholar 

  13. Hulley G, Shivers S, Wetherley E, Cudd R (2019) New ECOSTRESS and MODIS land surface temperature data reveal fine-scale heat vulnerability in cities: A case study for Los Angeles County, California. Remote Sensing 11(18):2136. https://doi.org/10.3390/rs11182136

    Article  Google Scholar 

  14. Johansen K, Phinn S, Taylor M (2015) Map** woody vegetation clearing in Queensland, Australia from Landsat imagery using the Google Earth Engine. Remote Sens App Soc Environ 1:36–49

    Google Scholar 

  15. Joshi M, Levy O, Weld DS, Zettlemoyer L (2019) BERT for coreference resolution: baselines and analysis. Ar**v preprint ar**v:1908.09091

  16. Kumar S, Singh A (2015) Biopesticides: present status and the future prospects. J Fertil Pestic 6(2):100–129

    Article  Google Scholar 

  17. McFeeters SK (1996) The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int J Remote Sens 17(7):1425–1432. https://doi.org/10.1080/01431169608948714

    Article  Google Scholar 

  18. Meng X, Cheng J, Zhao S, Liu S, Yao Y (2019) Estimating land surface temperature from Landsat-8 data using the NOAA JPSS enterprise algorithm. Remote Sens 11(2):155

    Google Scholar 

  19. Millennium ecosystem assessment, M. E. A. (2005) Ecosystems and human well-being (Vol. 5, p. 563). Washington, DC: Island press

    Google Scholar 

  20. Nagendra H, Bai X, Brondizio ES, Lwasa S (2018) The urban south and the predicament of global sustainability. Nat Sustain 1(7):341–349

    Article  Google Scholar 

  21. Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorol Soc 108(455):1–24

    Google Scholar 

  22. Rokni K, Ahmad A, Selamat A, Hazini S (2014) Water feature extraction and change detection using multitemporal Landsat imagery. Remote Sens 6:4173–4189. https://doi.org/10.3390/rs6054173

    Article  Google Scholar 

  23. Seto KC, Güneralp B, Hutyra LR (2012) Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proc Natl Acad Sci 109(40):16083–16088

    Article  CAS  Google Scholar 

  24. Sobrino JA, Raissouni, N, Li ZL (2001) A comparative study of land surface emissivity retrieval from NOAA data. Remote Sens Environ 75(2):256–266. https://www.sciencedirect.com/science/article/pii/S0034425700001711#:~:text=https%3A//doi.org/10.1016/S0034%2D4257(00)00171%2D1

    Google Scholar 

  25. Stroppiana D, Antoninetti M, Brivio PA (2014) Seasonality of MODIS LST over Southern Italy and correlation with land cover, topography, and solar radiation. Eur J Remote Sens 47:133–152. https://doi.org/10.5721/EuJRS20144709

    Article  Google Scholar 

  26. Trianni G, Angiuli E, Lisini G, Gamba P (2014) Human settlements from LandsatLandsat data using google earth engine. In Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, QC, Canada, 13–18 July 2014; pp. 1473–1476. https://doi.org/10.1109/IGARSS.2014.6946715

  27. Xu H (2005) A study on information extraction of water bodies with the modified normalized difference water index (MNDWI). J Remote Sens-Bei**g 9(5):595

    Google Scholar 

  28. Yang H, Wang Z, Zhao H, Guo Y (2011) Water body extraction methods study based on RS and GIS. Procedia Environ Sci 10:2619–2624. https://doi.org/10.1016/j.proenv.2011.09.407

    Article  Google Scholar 

  29. Zamil KS, Mim & M. A. (2018) Gis-based analysis of changing surface water in Rajshahi city corporation area using support vector machine (svm), decision tree & random forest technique. Mach Learn Res 3(2):11

    Article  Google Scholar 

  30. Zhou Y, Dong J, ** algorithms: a comparison of water-related spectral indices and sensors. Water 9(4):256

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Avinash Kumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kumar, A., Nandi, K.K., Dutta, S. (2023). Effects of Anthropogenic Stress and Water Security in Himalayan Urban River Watershed. In: Dutta, S., Chembolu, V. (eds) Recent Development in River Corridor Management. RCRM 2022. Lecture Notes in Civil Engineering, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-99-4423-1_14

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-4423-1_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-4422-4

  • Online ISBN: 978-981-99-4423-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation