Punarbhaba river basin (length 160 km. and area 5265.93 km2) of India and Bangladesh experienced a solemn hydrological paradigm alteration due to installation of Komardanga dam (1992) and other forms of water lifting and diversions from this river. Consequently, maximum and average water level in the downstream part of dam has been lessened by 32.34 and 36.74% correspondingly. Such flow reduction also causes shrinking of flood-prone area, shallowing of water bodies and lateral wetland disconnectivity from Main River. The main aim of the present paper is to focus on the land use/land cover change in reference to the changing hydrological regime. Supervised pixel- and object-based image classification has been carried out to show the nature of LULC dynamics for pre- and post-dam phases. The findings of the classified images stated that agricultural land and built-up area has been progressively amplified in the altered hydrological milieu and episodic decline of wetland areas is noticeable in this river basin. In pre-dam phase (up to 1989), agriculture land area was 59.19% to total basin area and it has become 84.2% in 2015 (post-dam period). Similarly, spatial extent of water body was 4.49% in former phase and it is reduced to 1.26% in later phase. Balance in LULC is obligatory for the sake ecologically healthy society.
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Ali, M., Khan, S. J., Aslam, I., & Khan, Z. (2011). Simulation of the impacts of land-use change on surface runoff of Lai Nullah Basin in Islamabad, Pakistan. Landscape and Urban Planning,102(4), 271–279.
Barrett, B., Nitze, I., Green, S., & Cawkwell, F. (2014). Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches. Remote Sensing of Environment,152, 109–124.
Baumann, M., Ozdogan, M., Wolter, P. T., Krylov, A., Vladimirova, N., & Radeloff, V. C. (2014). Landsat remote sensing of forest windfall disturbance. Remote Sensing of Environment,143, 171–179.
Bayala, M. I., & Rivas, R. E. (2014). Enhanced sharpening procedures on edge difference and water stress index basis over heterogeneous landscape of sub-humid region. Egyptian Journal of Remote Sensing and Space Science,17, 17–27.
Bednarek, A. T. (2001). Undamming rivers: A review of the ecological impacts of dam removal. Environmental Management,27(6), 803–814.
Belgiu, M., & Dragut, L. (2014). Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery. ISPRS Journal of Photogrammetry and Remote Sensing,96, 67–75.
Bio-Ecological Zones of Bangladesh, IUCN. (2002). Bangladesh country office, Bangladesh.
Bonan, G. B. (1997). Effects of land use on the climate of the United States. Climatic Change,37(3), 449–486.
Bureau of Applied Economics and Statistics (BAES). (2001, 2011). District statistical handbook, Malda, Government of West Bengal, India.
Census of India. (2001) Government of India.
Census of India. (2011) Government of India
Churches, C. E., Wampler, P. J., Sun, W., & Smith, A. J. (2014). Evaluation of forest cover estimates for Haiti using supervised classification of Landsat data. International Journal of Applied Earth Observation and Geoinformation,30, 203–216.
Das, R. T., & Pal, S. (2017). Investigation of the principal vectors of wetland loss in Barind tract of West Bengal. GeoJournal,1, 17.
DeFries, R., & Eshleman, K. N. (2004). Land-use change and hydrologic processes: A major focus for the future. Hydrological Processes,18(11), 2183–2186.
El Baroudy, A. A., & Moghanm, F. S. (2014). Combined use of remote sensing and GIS for degradation risk assessment in some soils of the Northern Nile Delta. Egyptian Journal of Remote Sensing and Space Science,17, 77–85.
Fisher, R. A. (1925). Statistical methods for research workers. Edinburgh: Oliver & Boyd.
Gain, A. K., & Giupponi, C. (2015). A dynamic assessment of water scarcity risk in the Lower Brahmaputra River Basin: An integrated approach. Ecological Indicators,48, 120–131.
Ghebrezgabher, M. G., Yang, T., & Yang, X. (2014). Remote sensing and GIS analysis of deforestation and desertification in central highland and eastern region of Eritrea (1972–2014). International Journal of Sciences: Basic and Applied Research (IJSBAR),18(2), 161–176.
Hart, P. E. (1971). Entropy and other measures of concentration. Journal of the Royal Statistical Society, Series A (General),134(1), 73–85.
Hussain, A., Bhalla, P., & Palria, S. (2014). Remote sensing based analysis of the role of land use/land cover on surface temperature and temporal changes in temperature: A case study of Ajmer district. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprsarchives-XL-8-1447-2014.
Intergovernmental Panel on Climate Change (IPCC). (2000). Special report on land use, land-use change, and forestry: Summary for policymakers. Geneva: Intergovernmental Panel on Climate Change.
International Commission On Large Dams. (1999). Benefits and concerns about dams—An Argumentaire. ICOLD’s publication, 1999.
Jayanth, J., Koliwad, S., & Kumar, T. A. (2015). Classification of remote sensed data using Artificial Bee Colony algorithm. The Egyptian Journal of Remote Sensing and Space Sciences,18, 119–126.
Lambin, E. F., Geist, H. J., & Lepers, E. (2003). Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources,28(1), 205–241.
Li, X., & Yeh, A. G. O. (2004). Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS. Landscape and Urban Planning,69, 335–354.
Mandal, D., & Pal, S. (2016). Monitoring dual-season hydrological dynamics of seasonally flooded wetlands in the lower reach of Mayurakshi river. Eastern India: Geocarto International. https://doi.org/10.1080/1010604.
Marti-Cardona, B., Dolz-Ripolles, J., & Lopez-Martinez, C. (2013). Wetland inundation monitoring by the synergistic use of ENVISAT/ASAR imagery and ancilliary spatial data. Remote Sensing of Environment,139, 171–184. https://doi.org/10.1016/j.rse.2013.07.028.
MEA. (2005). Millennium ecosystem assessment and human wellbeing: Synthesis. Washington, DC: Island Press.
Ministry of Environment and Forest (MoEF). (1990). Wetlands of India: A Directory, New Delhi, Ministry of Environment and Forest, Government of India.
Mitsch, W. J., & Gosselink, J. G. (2000). The value of wetlands: Importance of scale and landscape setting. Ecological Economics,35(1), 25–33.
Mitsch, W. J., Nahlik, A., Wolski, P., Bernal, B., Zhang, L., & Ramberg, L. (2010). Tropical wetlands: Seasonal hydrologic pulsing, carbon sequestration, and methane emissions. Wetlands Ecology and Management,18(5), 573–586.
Monserud, R. A., & Leemans, R. (1992). Comparing global vegetation maps with the Kappa statistic. Ecological Modelling,62, 275–293.
Mukhopadhyay, S., Mukhopadhyay, M., & Pal, S. (2010). Advance river geography (pp. 289–290). Kolkata: ACB publication.
Mukhopadhyay, S., & Pal, S. (2010). Changing land use pattern and its impact on wetland environment, environmental concerns. In D. Das Gupta (Ed.), Environmental concern (pp. 275–284). AGROBIOS: Jodhpur.
Nguyen, B. T., Lehmann, J., Kinyangi, J., Smernik, R., Riha, S. J., & Engelhard, M. H. (2009). Long-term black carbon dynamics in cultivated soil. Biogeochemistry, 92(1–2), 163–176.
Pal, S. (2011). Conservation or conversion of wetland in the Riverine Bengal basin: A question of hydro-ecological profit loss. Practising Geographers, Kolkata,15(1), 09–24.
Pal, S. (2015a). Impact of Massanjore Dam on hydro-geomorphological modification of Mayurakshi River. Environment Development and Sustainability. https://doi.org/10.1007/s10668-015-9679-1.
Pal, S. (2015b). Importance of wetland as a natural capital. In M. Mukhopadhyay & J. Gour (Eds.), Bengal and Bengali People in 2025 (pp. 34–43). Santiniketan: Book Centre Publishers.
Pal, S. (2016). Impact of water diversion on hydrological regime of Atreyee river of Indo-Bangladesh. International Journal of River Basin Management. https://doi.org/10.1080/15715124.2016.1194282.
Pal, S., & Osoundu, C. A. (2009). Water scarcity in wetland area within Kandi Block of West Bengal: A hydro-ecological assessment. Ethiopian Journal of Environmental Studies and Management,2(3), 1–17.
Pal, S., & Saha, T. K. (2017). Identifying dam-induced wetland changes using an inundation frequency approach: The case of the Atreyee River basin of Indo-Bangladesh. Ecohydrology and Hydrobiology, 18(1), 66–81.
Pal, S., & Talukdar, S. (2018a). Application of frequency ratio and logistic regression models for assessing physical wetland vulnerability in Punarbhaba river basin of Indo-Bangladesh. Human and Ecological Risk Assessment: An International Journal, 24, 1291–1311.
Pal, S., & Talukdar, S. (2018b). Drivers of vulnerability to wetlands in Punarbhaba river basin of India-Bangladesh. Ecological Indicators,93, 612–626.
Pal, S., & Talukdar, S. (2018c). Impact of missing flow on active inundation areas and transformation of parafluvial wetlands in Punarbhaba–Tangon river basin of Indo-Bangladesh. Geocarto International, 1–20. https://doi.org/10.1080/10106049.2018.1469676.
Pal, S., & Ziaul, S. (2016). Detection of land use and land cover change and land surface temperature in English Bazar urban centre. The Egyptian Journal of Remote Sensing and Space Sciences. https://doi.org/10.1016/j.ejrs.2016.11.003.
Puyravaud, J. P. (2003). Standardizing the calculation of the annual rate of deforestation. Forest Ecology and Management,177, 593–596.
Rawat, J. S., & Kumar, M. (2015). Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science,18, 77–84.
Relationships, E. S. A. (2012). United States Environmental Protection Agency, 2009
Saha, T. K., & Pal, S. (2018). Emerging conflict between agriculture extension and physical existence of wetland in post-dam period in Atreyee River basin of Indo-Bangladesh. Environment, Development and Sustainability, 1–21. https://doi.org/10.1007/s10668-018-0099-x.
Sala, O. E., Chapin, F. S., Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., et al. (2000). Global biodiversity scenarios for the year 2100. Science,287(5459), 1770–1774.
Sanyal, J., Densmore, A. L., & Carbonneau, P. (2014). Analysing the effect of land-use/cover changes at sub-catchment levels on downstream flood peaks: A semi-distributed modelling approach with sparse data. CATENA,118, 28–40.
Sengupta, S., & Homechaudhuri, S. (2012). Analysis of Phylogenetic relationship between some resident foodfishes in a shallow riverine template. In Proceedings of the zoological society (Vol. 65, No. 1, pp. 45–51). Springer.
Sengupta, S., & Homechaudhuri, S. (2015). Taxonomic and functional diversity of fish assemblage in three interconnected rivers in india in accordance with limiting similarity hypothesis. Journal of Global Bioscience,4, 2842–2858.
Talukdar, S., & Pal, S. (2016). Capturing stream flow regime of Punarbhaba river of Indo-Bangladesh. International Research Journal of Earth Science,4(6), 1–16.
Talukdar, S., & Pal, S. (2017a). Impact of dam on flow regime and flood plain modification in Punarbhaba River Basin of Indo-Bangladesh Barind tract. Water Conservation Science and Engineering, 1–19. https://doi.org/10.1007/s41101-017-0025-3.
Talukdar, S., & Pal, S. (2017b). Impact of dam on inundation regime of flood plain wetland of Punarbhaba river basin of barind tract of Indo-Bangladesh. International Soil and Water Conservation Research,5(2), 109–121.
TEEB. (2013). The economics of ecosystems and biodiversity for water and wetlands. London and Brussels, Institute for European Environmental Policy (IEEP) & Ramsar Secretariat, 78 p.
Turner, B. L., Chudek, J. A., Whitton, B. A., & Baxter, R. (2003). Phosphorus composition of upland soils polluted by long-term atmospheric nitrogen deposition. Biogeochemistry,65(2), 259–274.
Wang, L., Sousa, W. P., & Gong, P. (2004). Integration of object-based and pixel based classification for mapping mangroves with IKONOS imagery. International Journal of Remote Sensing,25(24), 5655–5668.
Wang, Z., Song, K., Ma, W., Ren, C., Zhang, B., Liu, D., Chen, J.M., & Song, C. (2011). Loss and fragmentation of marshes in the Sanjiang Plain, Northeast China, 1954–2005. Wetlands, 31(5), 945.
Wang, Z., Zhang, B., Zhang, S., Li, X., Liu, D., Song, K., Li, J., & Duan, H. (2006). Changes of land use and of ecosystem service values in Sanjiang Plain, Northeast China. Environmental Monitoring and Assessment, 112(1–3), 69–91.
Zedler, J. B., & Kercher, S. (2005). Wetland resources: Status, trends, ecosystem services, and restorability. Annual Review of Environment and Resources,30, 39–74.
Zhou, D., Gong, H., Wang, Y., Khan, S., & Zhao, K. (2009). Driving forces for the marsh wetland degradation in the Honghe National Nature Reserve in Sanjiang Plain, Northeast China. Environmental Modeling & Assessment, 14(1), 101–111.
Ziaul, S., & Pal, S. (2018). Analyzing control of respiratory particulate matter on Land Surface Temperature in local climatic zones of English Bazar Municipality and Surroundings. Urban Climate,24, 34–50.
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Pal, S., Talukdar, S. Assessing the role of hydrological modifications on land use/land cover dynamics in Punarbhaba river basin of Indo-Bangladesh. Environ Dev Sustain 22, 363–382 (2020). https://doi.org/10.1007/s10668-018-0205-0
- Hydrological paradigm shift
- Flow regulation
- Extension of agriculture land and shrinkages of wetland