Case Studies
Aug 3, 2023

Assessing the Impacts of Land Use, Land Cover, and Climate Change on the Hydrological Regime of a Humid Tropical Basin

Publication: Natural Hazards Review
Volume 24, Issue 4

Abstract

Climate change and land use land cover (LULC) change are two major factors influencing river basin hydrology. This study explored these drivers’ isolated and combined impacts on the ecologically relevant flow in the Achencoil basin, Kerala, India. The LULC classification in the study is carried out with the Random Forest (RF) algorithm in the Google Earth Engine (GEE) platform, and Land Change Modeler (LCM) is incorporated for change detection and projection. The future climate data from the National Aeronautics and Space Administration Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) is used for climate change impact assessment. The Soil and Water Assessment Tool (SWAT) is employed to simulate streamflow under LULC and climate change scenarios. The historical and projected future LULC change in the basin revealed an increase in the built-up and barren land, with a significant decrease in agricultural and forest areas. The results show that the projected future precipitation will decrease under the RCP 4.5 and increase under the RCP 8.5 scenario. The projected average maximum and minimum temperature are expected to increase under both scenarios in the basin. The LULC 2050 scenario shows the most significant rise in average annual streamflow, at 7.5%. Whereas in the climate change scenarios, the average annual flow decreases under RCP 4.5 and increases under RCP 8.5. The combined impacts of climate change and LULC change are relatively higher than the isolated effects of these drivers in the basin. The study outcomes are expected to help policymakers consider the effect of climate change and LULC change on the river’s hydrology so as to implement the management activities that account for the riverine ecosystem.

Practical Applications

Changes in land use land cover and meteorological parameters are important environmental issues that must be pointed out. These changes will affect the river flow and eventually affect the river ecosystem. The current research investigates the combined effects of land use land cover and climate change in the flow of the Achencoil basin in India. This study area is one of the most frequently flooded in the state. As a result, the projected climate and land use land cover provide an idea of future streamflow in the basin. This research enables a better understanding of the response of streamflow components to climate variability and land use land cover changes in the Achencoil basin, which might help policymakers develop strategies for regional water resource management. Implementing these policies and management strategies will necessitate collaboration and coordination across various levels of government, private sector, and local communities in order to mitigate the risk and support a sustainable riverine ecosystem.

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Data Availability Statement

All data, models, and codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

We would like to thank the National Institute of Technology Karnataka for providing the necessary infrastructure to carry out this analysis.
Author contributions: The participation of AA includes data collection, analyzing the results, and writing the article, and the participation of SK includes supervision, conceptualization, reviewing, and editing of the article.

References

Abijith, D., and S. Saravanan. 2021. “Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India.” Environ. Sci. Pollut. Res. 29 (57): 86055–86067. https://doi.org/10.1007/s11356-021-15782-6.
Abraham, A., and S. Kundapura. 2022a. “Selection of suitable general circulation model outputs of precipitation for a humid tropical basin.” In Proc., Innovative Trends in Hydrological and Environmental Systems of ITHES, 417–431. Berlin: Springer.
Abraham, A., and S. Kundapura. 2022b. “Spatio-temporal dynamics of land use land cover changes and future prediction using geospatial techniques.” J. Indian Soc. Remote Sens. 50 (11): 2175–2191. https://doi.org/10.1007/s12524-022-01588-7.
Abramowitz, G., N. Herger, E. Gutmann, D. Hammerling, R. Knutti, M. Leduc, R. Lorenz, R. Pincus, and G. A. Schmidt. 2019. “ESD reviews: Model dependence in multi-model climate ensembles: Weighting, sub-selection and out-of-sample testing.” Earth Syst. Dyn. 10 (1): 91–105. https://doi.org/10.5194/esd-10-91-2019.
Anand, V., and B. Oinam. 2020. “Future land use land cover prediction with special emphasis on urbanization and wetlands.” Remote Sens. Lett. 11 (3): 225–234. https://doi.org/10.1080/2150704X.2019.1704304.
Andaryani, S., D. Trolle, M. R. Nikjoo, M. H. R. Moghadam, and D. Mokhtari. 2019. “Forecasting near-future impacts of land use and climate change on the Zilbier river hydrological regime, northwestern Iran.” Environ. Earth Sci. 78 (6): 1–14. https://doi.org/10.1007/s12665-019-8193-4.
Areendran, G., K. Raj, S. Mazumdar, and A. Sharma. 2017. “Land use and land cover change analysis for Kosi river wildlife corridor in Terai arc landscape of northern India: Implications for future management.” Trop. Ecol. 58 (1): 139–149.
Asurza-Véliz, F. A., and W. S. Lavado-Casimiro. 2020. “Regional parameter estimation of the SWAT model: Methodology and application to river basins in the Peruvian pacific drainage.” Water 12 (11): 3198. https://doi.org/10.3390/w12113198.
Calijuri, M. L., J. S. Castro, L. S. Costa, P. P. Assemany, and J. E. M. Alves. 2015. “Impact of land use/land cover changes on water quality and hydrological behavior of an agricultural subwatershed.” Environ. Earth Sci. 74 (6): 5373–5382. https://doi.org/10.1007/s12665-015-4550-0.
Dhami, B., S. K. Himanshu, A. Pandey, and A. K. Gautam. 2018. “Evaluation of the SWAT model for water balance study of a mountainous Snowfed River basin of Nepal.” Environ. Earth Sci. 77 (1): 1–20. https://doi.org/10.1007/s12665-017-7210-8.
Dhanya, V., and G. Renoy. 2015. “Drainage development in Achankovil Shear Zone, South India.” Curr. Sci. 108 (6): 1151–1157.
Dosdogru, F., L. Kalin, R. Wang, and H. Yen. 2020. “Potential impacts of land use/cover and climate changes on ecologically relevant flows.” J. Hydrol. 584 (Mar): 124654. https://doi.org/10.1016/j.jhydrol.2020.124654.
Eastman, J. R. 2015. TerrSet manual. Worcester, MA: Clark Univ.
Fita, T., and B. Abate. 2022. “Impact of climate change on streamflow of Melka Wakena catchment, upper wabi Shebelle sub-basin, south-eastern Ethiopia.” J. Water Clim. Change 13 (5): 1995–2010. https://doi.org/10.2166/wcc.2022.191.
Gao, Y., R. M. Vogel, C. N. Kroll, N. L. Poff, and J. D. Olden. 2009. “Development of representative indicators of hydrologic alteration.” J. Hydrol. 374 (1–2): 136–147. https://doi.org/10.1016/j.jhydrol.2009.06.009.
Getachew, B., B. R. Manjunatha, and H. G. Bhat. 2021. “Modeling projected impacts of climate and land use/land cover changes on hydrological responses in the Lake Tana basin, Upper Blue Nile River basin, Ethiopia.” J. Hydrol. 595 (Jan): 125974. https://doi.org/10.1016/j.jhydrol.2021.125974.
Gibson, C. A., J. L. Meyer, N. L. Poff, L. E. Hay, and A. Georgakakos. 2005. “Flow regime alterations under changing climate in two river basins: Implications for freshwater ecosystems.” River Res. Appl. 21 (8): 849–864. https://doi.org/10.1002/rra.855.
Gorelick, N., M. Hancher, M. Dixon, S. Ilyushchenko, D. Thau, and R. Moore. 2017. “Google earth engine: Planetary-scale geospatial analysis for everyone.” Remote Sens. Environ. 202 (Dec): 18–27. https://doi.org/10.1016/j.rse.2017.06.031.
Greco, M., F. Arbia, and R. Giampietro. 2021. “Definition of ecological flow using IHA and IARI as an operative procedure for water management.” Environments 8 (8): 77. https://doi.org/10.3390/environments8080077.
Guo, W., H. Zhou, X. Jiao, L. Huang, and H. Wang. 2022. “Evaluation of hydrological regime alteration and ecological effects in the middle and lower of the Yangtze River, China.” Water Supply 22 (6): 5957–5973. https://doi.org/10.2166/ws.2022.229.
Hairan, M. H., N. R. Jamil, M. Noor, A. Azmai, L. J. Looi, and M. Camara. 2021. “Environmental flow assessment of a tropical river system using hydrological index methods.” Water 13 (18): 2477. https://doi.org/10.3390/w13182477.
Halmy, M. W. A., P. E. Gessler, J. A. Hicke, and B. B. Salem. 2015. “Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA.” Appl. Geogr. 63 (Sep): 101–112. https://doi.org/10.1016/j.apgeog.2015.06.015.
Jiang, S., L. Zhou, L. Ren, M. Wang, C. Xu, and F. Yuan. 2021. “Development of a comprehensive framework for quantifying the impacts of climate change and human activities on river hydrological health variation.” J. Hydrol. 600 (May): 126566. https://doi.org/10.1016/j.jhydrol.2021.126566.
Joseph, N., P. P. Preetha, and B. Narasimhan. 2021. “Assessment of environmental flow requirements using a coupled surface water-groundwater model and a flow health tool: A case study of son river in the Ganga basin.” Ecol. Indic. 121 (Feb): 107110. https://doi.org/10.1016/j.ecolind.2020.107110.
Kale, M. P., M. Chavan, S. Pardeshi, C. Joshi, P. A. Verma, P. S. Roy, and Y. V. N. Krishna Murthy. 2016. “Land-use and land-cover change in Western Ghats of India.” Environ. Monit. Assess. 188 (7): 1–23. https://doi.org/10.1007/s10661-016-5369-1.
Kavian, A., M. Golshan, and Z. Abdollahi. 2017. “Flow discharge simulation based on land use change predictions.” Environ. Earth Sci. 76 (Aug): 1–17. https://doi.org/10.1007/s12665-017-6906-0.
Kogo, B. K., L. Kumar, and R. Koech. 2021. “Analysis of spatio-temporal dynamics of land use and cover changes in Western Kenya.” Geocarto Int. 36 (4): 376–391. https://doi.org/10.1080/10106049.2019.1608594.
Kumar, N., S. K. Singh, V. G. Singh, and B. Dzwairo. 2018. “Investigation of impacts of land use/land cover change on water availability of Tons River Basin, Madhya Pradesh, India.” Model. Earth Syst. Environ. 4 (1): 295–310. https://doi.org/10.1007/s40808-018-0425-1.
Ma, D., Q. Jing, Y. Xu, A. Cannon, T. Dong, M. Semenov, and B. Qian. 2021. “Using ensemble-mean climate scenarios for future crop yield projections: A stochastic weather generator approach.” Clim. Res. 83 (May): 161–171. https://doi.org/10.3354/cr01646.
Mahdianpari, M., B. Salehi, F. Mohammadimanesh, and M. Motagh. 2017. “Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery.” ISPRS J. Photogramm. Remote Sens. 130 (Aug): 13–31. https://doi.org/10.1016/j.isprsjprs.2017.05.010.
Maskey, M. L., G. Facincani Dourado, A. M. Rallings, D. E. Rheinheimer, J. Medellín-Azuara, and J. H. Viers. 2022. “Assessing hydrological alteration caused by climate change and reservoir operations in the San Joaquin River Basin, California.” Front. Environ. Sci. 10 (Mar): 163. https://doi.org/10.3389/fenvs.2022.765426.
Mayaja, N. A., and C. V. Srinivasa. 2017. “Land use and land cover changes and their impacts on floods in Pampa River Basin in Kerala: A remote sensing based analysis.” J. Geomatics 11 (1): 1–6. https://doi.org/10.1007/978-3-319-18663-4_120.
Mehan, S., N. Kannan, R. P. Neupane, R. McDaniel, and S. Kumar. 2016. “Climate change impacts on the hydrological processes of a small agricultural watershed.” Climate 4 (4): 56. https://doi.org/10.3390/cli4040056.
Midekisa, A., F. Holl, D. J. Savory, R. Andrade-Pacheco, W. Gething, A. Bennett, and H. J. W. Sturrock. 2017. “Mapping land cover change over continental Africa using Landsat and Google earth engine cloud computing.” PLoS One 12 (9): e0184926. https://doi.org/10.1371/journal.pone.0184926.
Mittal, N., A. Mishra, R. Singh, A. G. Bhave, and M. D. Valk. 2014. “Flow regime alteration due to anthropogenic and climatic changes in the Kangsabati River, India.” Ecohydrol. Hydrobiol. 14 (3): 182–191. https://doi.org/10.1016/j.ecohyd.2014.06.002.
Moriasi, D. N., J. G. Arnold, M. W. Liew, R. L. Bingner, R. D. Harmel, and T. L. Veith. 2007. “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE 50 (3): 885–900. https://doi.org/10.13031/2013.23153.
Myers, N., R. A. Mittermeier, C. G. Mittermeier, G. A. Da Fonseca, and J. Kent. 2000. “Biodiversity hotspots for conservation priorities.” Nature 403 (6772): 853–858. https://doi.org/10.1038/35002501.
Neupane, R. P., and S. Kumar. 2015. “Estimating the effects of potential climate and land use changes on hydrologic processes of a large agriculture dominated watershed.” J. Hydrol. 529 (1): 418–429. https://doi.org/10.1016/j.jhydrol.2015.07.050.
Nia, E. S., G. Asadollahfardi, and N. Heidarzadeh. 2016. “Study of the environmental flow of rivers, A case study, Kashkan River, Iran.” J. Water Supply Res. Technol. 65 (2): 181–194. https://doi.org/10.2166/aqua.2015.016.
Nie, N., W. Zhang, M. Liu, H. Chen, and D. Zhao. 2021. “Separating the impacts of climate variability, land-use change and large reservoir operations on streamflow in the Yangtze River Basin, China, using a hydrological modeling approach.” Int. J. Digital Earth 14 (2): 231–249. https://doi.org/10.1080/17538947.2020.1812740.
Ostad-Ali-Askari, K., H. Ghorbanizadeh Kharazi, M. Shayannejad, and M. J. Zareian. 2020. “Effect of climate change on precipitation patterns in an arid region using GCM models: Case study of Isfahan-Borkhar plain.” Nat. Hazards Rev. 21 (2): 1–6. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000367.
Panjwani, S., S. Naresh Kumar, L. Ahuja, and A. Islam. 2019. “Prioritization of global climate models using fuzzy analytic hierarchy process and reliability index.” Theor. Appl. Climatol. 137 (3–4): 2381–2392. https://doi.org/10.1007/s00704-018-2707-y.
Pardo-loaiza, J., A. Solera, R. J. Bergillos, J. Paredes-Arquiola, and J. Andreu. 2021. “Improving indicators of hydrological alteration in regulated and complex water resources systems: A case study in the Duero River Basin.” Water 13 (19): 2676. https://doi.org/10.3390/w13192676.
Parthasarathy, K. S. S., and P. C. Deka. 2021. “Spatio-temporal classification and prediction of land use and land cover change for the Vembanad Lake system, Kerala: A machine learning approach.” Environ. Sci. Pollut. Res. 29 (57): 86220–86236. https://doi.org/10.1007/s11356-021-17257-0.
Parthasarathy, K. S. S., P. C. Deka, S. Saravanan, D. Abijith, and J. Jacinth Jennifer. 2021. “Assessing the impact of 2018 tropical rainfall and the consecutive flood-related damages for the state of Kerala, India.” In Disaster resilience and sustainability, edited by I. Pal, R. Shaw, R. Djalante, and S. Shrestha, 379–395. Amsterdam, Netherlands: Elsevier.
Parthasarathy, K. S. S., S. Saravanan, P. C. Deka, and A. Devanantham. 2020. “Assessment of potentially vulnerable zones using geospatial approach along the coast of Cuddalore district, East Coast of India.” ISH J. Hydraul. Eng. 28 (1): 422–432. https://doi.org/10.1080/09715010.2020.1753250.
Pfeiffer, M., and M. Ionita. 2017. “Assessment of hydrologic alterations in Elbe and Rhine Rivers, Germany.” Water 9 (9): 684. https://doi.org/10.3390/w9090684.
Phan, T. N., V. Kuch, and L. W. Lehnert. 2020. “Land cover classification using google earth engine and random forest classifier-the role of image composition.” Remote Sens. 12 (15): 2411. https://doi.org/10.3390/rs12152411.
Prasad, M. B. K., and A. L. Ramanathan. 2005. “Solute sources and processes in the Achankovil River Basin, Western Ghats, Southern India/Sources de Solutés et Processus Associés Dans le Bassin du Fleuve Achankovil, Ghats Occidentaux, Inde du Sud.” Hydrol. Sci. J. 50 (Apr): 2. https://doi.org/10.1623/hysj.50.2.341.61798.
Praveen, B., S. Talukdar, S. Mahato, J. Mondal, P. Sharma, and A. Rahman. 2020. “Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches.” Sci. Rep. 10 (1): 1–21. https://doi.org/10.1038/s41598-020-67228-7.
Qin, P., H. Xu, M. Liu, L. Du, C. Xiao, L. Liu, and B. Tarroja. 2020. “Climate change impacts on three gorges reservoir impoundment and hydropower generation.” J. Hydrol. 580 (Jan): 123922. https://doi.org/10.1016/j.jhydrol.2019.123922.
Raju, K. S., and D. N. Kumar. 2014. “Ranking of global climate models for India using multicriterion analysis.” Clim. Res. 60 (2): 103–117. https://doi.org/10.3354/cr01222.
Richter, B. D., J. V. Baumgartner, D. P. Braun, and J. Powell. 1998. “A spatial assessment of hydrologic alteration within a river network.” River Res. Manage. 14 (4): 329–340. https://doi.org/10.1002/(SICI)1099-1646(199807/08)14:4%3C329::AID-RRR505%3E3.0.CO;2-E.
Richter, B. D., J. V. Baumgartner, J. Powell, and D. P. Braun. 1996. “A method for assessing hydrologic alteration within ecosystems.” Conserv. Biol. 10 (4): 1163–1174. https://doi.org/10.1046/j.1523-1739.1996.10041163.x.
Rodrigues, A. L. M., G. B. Reis, M. T. Dos Santos, D. D. Da Silva, V. J. Dos Santos, J. De Siqueira Castro, and M. L. Calijuri. 2019. “Influence of land use and land cover’s change on the hydrological regime at a Brazilian southeast urbanized watershed.” Environ. Earth Sci. 78 (20): 1–13. https://doi.org/10.1007/s12665-019-8601-9.
Sajjad, H., and A. Ghaffar. 2019. “Observed, simulated and projected extreme climate indices over Pakistan in changing climate.” Theor. Appl. Climatol. 137 (1–2): 255–281. https://doi.org/10.1007/s00704-018-2573-7.
Saravanan, S., D. Abijith, N. M. Reddy, N. Janardhanam, S. Sathiyamurthi, and V. Sivakumar. 2023. “Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India.” Urban Clim. 49 (May): 101503. https://doi.org/10.1016/j.uclim.2023.101503.
Sharannya, T. M., N. Al-Ansari, S. D. Barma, and A. Mahesha. 2020. “Evaluation of satellite precipitation products in simulating streamflow in a humid tropical catchment of India using a semi-distributed hydrological model.” Water 12 (9): 2400. https://doi.org/10.3390/w12092400.
Shrestha, S., M. Shrestha, and M. S. Babel. 2016. “Modelling the potential impacts of climate change on hydrology and water resources in the Indrawati River Basin, Nepal.” Environ. Earth Sci. 75 (4): 1–13. https://doi.org/10.1007/s12665-015-5150-8.
Sinha, R. K., and T. I. Eldho. 2018. “Effects of historical and projected land use/cover change on runoff and sediment yield in the Netravati River Basin, Western Ghats, India.” Environ. Earth Sci. 77 (3): 1–19. https://doi.org/10.1007/s12665-018-7317-6.
Sinha, R. K., T. I. Eldho, and G. Subimal. 2020. “Assessing the impacts of historical and future land use and climate change on the streamflow and sediment yield of a tropical mountainous river basin in South India.” Environ. Monit. Assess. 192 (11): 1–21. https://doi.org/10.1007/s10661-020-08623-5.
Tamiminia, H., B. Salehi, M. Mahdianpari, L. Quackenbush, and S. Adeli. 2020. “Google earth engine for geo-big data applications: A meta-analysis and systematic review.” J. Photogramm. Remote Sens. 164 (May): 152–170. https://doi.org/10.1016/j.isprsjprs.2020.04.001.
Thrasher, B., E. P. Maurer, C. McKellar, and P. B. Duffy. 2012. “Technical note: Bias correcting climate model simulated daily temperature extremes with quantile mapping.” Hydrol. Earth Syst. Sci. 16 (9): 3309–3314. https://doi.org/10.5194/hess-16-3309-2012.
Usman, M., X. Pan, D. Penna, and B. Ahmad. 2021. “Hydrologic alteration and potential ecosystemic implications under a changing climate in the Chitral river, Hindukush region, Pakistan.” J. Water Clim. Change 12 (5): 1471–1486. https://doi.org/10.2166/wcc.2020.073.
Wagle, N., T. D. Acharya, V. Kolluru, H. Huang, and D. H. Lee. 2020. “Multi-temporal land cover change mapping using Google earth engine and ensemble learning methods.” Appl. Sci. 10 (22): 8083. https://doi.org/10.3390/app10228083.
Yuqin, G., K. P. Pandey, X. Huang, N. Suwal, and K. P. Bhattarai. 2019. “Estimation of hydrologic alteration in Kaligandaki river using representative hydrologic indices.” Water 11 (4): 688. https://doi.org/10.3390/w11040688.
Zolfagharpour, F., B. Saghafian, and M. Delavar. 2022. “Hydrological alteration and biodiversity change along the river network caused by anthropogenic activities and climate variability.” Ecol. Process. 11 (1): 1–17. https://doi.org/10.1186/s13717-022-00362-4.
Zurqani, H. A., C. J. Post, E. A. Mikhailova, M. A. Schlautman, and J. L. Sharp. 2018. “Geospatial analysis of land use change in the Savannah River Basin using Google earth engine.” Int. J. Appl. Earth Obs. Geoinf. 69 (Jul): 175–185. https://doi.org/10.1016/j.jag.2017.12.006.

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Natural Hazards Review
Volume 24Issue 4November 2023

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Received: Nov 12, 2022
Accepted: Jun 16, 2023
Published online: Aug 3, 2023
Published in print: Nov 1, 2023
Discussion open until: Jan 3, 2024

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Research Scholar, Dept. of Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka 575 025, India; Assistant Professor, Dept. of Civil Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala 686666, India (corresponding author). ORCID: https://orcid.org/0000-0003-1577-5792. Email: [email protected]
Subrahmanya Kundapura [email protected]
Assistant Professor, Faculty of Water Resources Engineering, Dept. of Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka 575 025, India. Email: [email protected]

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