Impact of lake surface changes on climate fluctuation within a lake‐affected region

Abstract

Wetlands are one of the most important aquatic ecosystems that are vulnerable to various factors, including human activity or natural events such as drought. Remote sensing technology is an effective technique for managing and monitoring changes in these ecosystems caused by natural events and human activities. The present study evaluated the effects of changes at Bakhtegan Lake on six climatic parameters in its surrounding environments. Landsat satellite imagery was used to monitor changes in the Bakhtegan Lake surface during times of maximum extent in the period from 2000 to 2015. Support vector machine (SVM) classification was applied to extract the characteristics of the lake surface. Then, the distance of 80 km from the lakeshore was identified as the environment of its influence on the surrounding land, which was divided into three buffers from 0 to 25, 26–55 and 56–80 km. The results showed that a higher accuracy than the index for extracting lake area was achieved using the SVM classification method. Additionally, the climate parameters of mean annual precipitation, relative humidity, and percentage of cloud cover significantly influenced (0.001) lake surface changes in buffer one, indicating the highest impact among all climatic parameters. In buffer two, the significance level of the precipitation parameter decreased to about 0.05, and the annual mean minimum temperature was significantly lower (0.05); however, the mean annual minimum and maximum temperatures were not significant

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

References

  1. Bagheri MH, Bagheri A, Sohooli GA (2016) Analysis of changes in the Bakhtegan lake water body under the influence of natural and human factors. Iran Water Resour Res 12:1–11 ((In Persian))

    Google Scholar 

  2. Breaux A, Farber S, Day J (1995) Using natural coastal wetlands systems for wastewater treatment: an economic benefit analysis. J Environ Manage 44:285–291

    Article  Google Scholar 

  3. Cao J, Wang M, Li Y, Zhang Q (2019) Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment. PLoS One 14:1–18

    Google Scholar 

  4. Changnon SA (1968) Precipitation climatology of Lake Michigan Basin. Bulletin 52. Urbana, Illinois: Illinois State Water Survey.

  5. Chapman LJ, Balirwa J, Bugenyi FWB, Chapman C, Crisman TL (2001) Wetlands of East Africa: biodiversity, exploitation and policy perspectives. In: Gopal B, Junk WJ, Davis JA (eds) Biodiversity in wetlands: assessment, function and conservation, vol 2. Backhuys Publishers, Leiden, pp 101–131

    Google Scholar 

  6. Du Y, Teillet PM, Cihlar J (2002) Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection. Remote Sens Environ 82:123–134

    Article  Google Scholar 

  7. Frazier PSh, Page KJ (2000) Water body detection and delineation with Landsat TM Data. Photogrammetric Eng Remote Sens 66:1461–1467

    Google Scholar 

  8. Getachew M, Ambelu A, Tiku S, Legesse W, Adugna A, Kloos H (2012) Ecological assessment of Cheffa Wetland in the Borkena Valley, northeast Ethiopia: macroinvertebrate and bird communities. Ecol Ind 15:63–71

    Article  Google Scholar 

  9. Gopi Sundar KS, Kittur S (2013) Can wetlands maintained for human use also help conserve biodiversity? Landscape-scale patterns of bird use of wetlands in an agricultural landscape in north India. Biol Cons 168:49–56

    Article  Google Scholar 

  10. Jain SK, Singh RD, Jain MK, Lohani AK (2005) Delineation of flood-prone areas using remote sensing technique. Water Resour Manage 19:337–347

    Article  Google Scholar 

  11. Jiang H, Feng M, Zhu Y, Lu N, Huang J, Xiao T (2014) An automated method for extracting rivers and lakes from Landsat Imagery. Remote Sens 6:5067–5089

    Article  Google Scholar 

  12. Kingsford RT, Thomas RF, Wong PS, Knowles E (1997) GIS database for wetlands of the Murray Darling Basin. Final Report to the Murray-Darling Basin Commission. National Parks and Wildlife Service, Australia

    Google Scholar 

  13. Kizza M, Rodhe A, Xu C-Y, Ntale HK, Halldin S (2009) Temporal rainfall variability in the Lake Victoria Basin in East Africa during the twentieth century. Theor Appl Climatol 98:119–135

    Article  Google Scholar 

  14. Laird Neil F (2012) Great salt lake—effect precipitation: observed frequency, characteristics, and associated environmental factors. Weather Forecast 27:954–971

    Article  Google Scholar 

  15. Laird Neil F, Desrochers J, Payer M (2009) Climatology of lake-effect precipitation events over Lake Champlain. J Appl Meteorol Climatol 48:232–250

    Article  Google Scholar 

  16. Laird Neil F, Bentley Alicia M, Ganetis Sara A, Stieneke A, Tushaus Samantha A (2016) Climatology of lake-effect precipitation events over Lake Tahoe and Pyramid Lake. J Appl Meteorol Climatol 55:297–312

    Article  Google Scholar 

  17. Lu D, Weng Q (2007) A survey of image classification methods and techniques for improving classification performance. Int J Remote Sens 28:853–870

    Google Scholar 

  18. Maberly SC, O’Donnell RA, Woolway RL, Cutler MEJ, Gong M et al (2020) Global lake thermal regions shift under climate change. Nat Commun 11(1):44–52. https://doi.org/10.1038/s41467-020-15108-z

    Article  Google Scholar 

  19. Maulik U, Chakraborty D (2017) Remote sensing image classification: a survey of support-vector-machine-based advanced techniques. IEEE Geosci Remote Sens 5:33–52

    Article  Google Scholar 

  20. McFeeters SK (1996) The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. J Int J Remote Sens 17:1425–1432

    Article  Google Scholar 

  21. Moges A, Beyene A, Triest L, Ambelu A, Kelbessa E (2018) Imbalance of ecosystem services of wetlands and the perception of the local community towards their restoration and management in Jimma Highlands, Southwestern Ethiopia. Wetlands 38:1081–1095

    Article  Google Scholar 

  22. Nicholls JF, Toumi R (2013) On the lake effects of the Caspian Sea. Q J R Meteorol Soc 140:1399–1408

    Article  Google Scholar 

  23. Ouma YO, Tateishi R (2006) A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes: an empirical analysis using Landsat TM and ETM+ data. Int J Remote Sens 27:3153–3181

    Article  Google Scholar 

  24. Pakzad S (2018) Monitoring of Bakhtegan Lake surface area change impacts on climatic factors using multi-temporal Landsat images. Dissertation, International Desert Research Center (IDRC), University of Tehran, Tehran.

  25. Pedersen E, Weisner Stefan EB, Johansson M (2019) Wetland area’s direct contributions to resident’s well-being entitle them to high cultural ecosystem values. Sci Total Environ 646:1315–1326

    Article  Google Scholar 

  26. Rebelo LM, McCartney MP, Finlayson CM (2010) Wetlands of Sub-Saharan Africa: distribution and contribution of agriculture to livelihoods. Wetlands Ecol Manage 18:557–572

    Article  Google Scholar 

  27. Roshan Gh, Masoompour Samakosh J, Orosa JA (2016) The impacts of drying of Lake Urmia on changes of degree day index of the surrounding cities by meteorological modelling. Environ Earth Sci 75:1–14

    Article  Google Scholar 

  28. Saligheh M, Khosravi M, Poudineh I (2010) The effect of Lake Hamoon surface changes on Sistan local climate. 4th International Congress of the Islamic World Geographers (ICIWG), 15–17 Apr, Zahedan, Iran. (In Persian).

  29. Sarp G, Ozcelik M (2017) Water body extraction and change detection using time series: a case study of Lake Burdur, Turkey. J Taibah Univ Sci 11:381–391

    Article  Google Scholar 

  30. Scott Robert W, Huff Floyd A (1996) Impacts of the great lakes on regional climate conditions. J Great Lakes Res 22:845–863

    Article  Google Scholar 

  31. Scott Robert W, Huff Floyd A (1997) Lake effects on climatic conditions in the great lakes Basin. Illinois State Water Survey Champaign, Illinois Contract Report 617.

  32. Seelig B, DeKeyser S (2006) Water quality and wetland function in the Northern Prairie Pothole Region, NDSU. North Dakota State University, Fargo, Water Quality Program, Northern Plains and Mountain Region.

  33. Song M, Civco DL (2002) A knowledge-based approach for reducing cloud and shadow. Proc of 2002, pp 22–26.

  34. Song Ch, Huang B, Ke L, Richards Keith S (2014) Remote sensing of alpine lake water environment changes on the Tibetan Plateau and surroundings: a review. ISPRS J Photogrammet Remote Sens 92:26–37

    Article  Google Scholar 

  35. Tavares MH, Farias Cunha AH, Motta-Marques D, Luís Ruhoff A, Cavalcanti JR, Fragoso CR Jr et al (2019) Comparison of methods to estimate lake-surface-water temperature using Landsat 7 ETM+ and MODIS Imagery: case study of a large shallow subtropical lake in Southern Brazil. Water 11:1–21

    Article  Google Scholar 

  36. Tozer Douglas C, Steele O, Gloutney M (2018) Multispecies benefits of wetland conservation for marsh birds, frogs, and species at risk. J Environ Manage 212:160–168

    Article  Google Scholar 

  37. Wen L, Lv Sh, Li Zh, Zhao L, Nagabhatla N (2015) Impacts of the two biggest lakes on local temperature and precipitation in the Yellow River Source Region of the Tibetan Plateau. Adv Meteorol 2015:1–10

    Google Scholar 

  38. Wondie A (2018) Ecological conditions and ecosystem services of wetlands in the Lake Tana Area, Ethiopia. Ecohydrol Hydrobiol 18:231–244

    Article  Google Scholar 

  39. Woolway RL, Weyhenmeyer GA, Schmid M, Dokulil MT et al (2019) Substantial increase in minimum lake surface temperatures under climate change. Clim Chang 155:81–94

    Article  Google Scholar 

  40. Xiao X, Zhang Q, Braswell B, Urbanski S, Boles S, Wofsy SC, Moore B, Ojima D (2004) Modeling gross primary production of a deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ 91:256–270

    Article  Google Scholar 

  41. Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27:3025–3033

    Article  Google Scholar 

  42. Yao X, Liu S, Li L, Sun M, Luo J (2014) Spatial-temporal characteristics of lake area variations in Hoh Xil region from 1970 to 2011. J Geog Sci 24:689–702

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Amir R. Keshtkar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 14 KB)

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Pakzad, S., Keshtkar, A.R., Keshtkar, H. et al. Impact of lake surface changes on climate fluctuation within a lake‐affected region. Environ Earth Sci 80, 160 (2021). https://doi.org/10.1007/s12665-021-09425-9

Download citation

Keywords

  • Lake changes effect
  • Surrounding area
  • Climatic factors
  • Remote sensing