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Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern

Ul Hasan, Mohd Sayeed, Rai, Abhishek Kumar, Momin, Abul Hasan, Khan, Mohammad Amir, Alfaisal, Faisal M., Alam, Shamshad, Al-sareji, Osamah J., and Majdi, Ali, 2025. Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern. Scientific Reports, 15(1):1129, doi:10.1038/s41598-024-82207-y.

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@ARTICLE{2025NatSR..15.1129U,
       author = {{Ul Hasan}, Mohd Sayeed and {Rai}, Abhishek Kumar and {Momin}, Abul Hasan and {Khan}, Mohammad Amir and {Alfaisal}, Faisal M. and {Alam}, Shamshad and {Al-sareji}, Osamah J. and {Majdi}, Ali},
        title = "{Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern}",
      journal = {Scientific Reports},
     keywords = {ALSCAL, GIS, Innovative Trend Analysis, Multi-dimensional scaling, UPGMA, Environmental Sciences, Environmental Science and Management, Earth Sciences, Physical Geography and Environmental Geoscience},
         year = 2025,
        month = jan,
       volume = {15},
       number = {1},
          eid = {1129},
        pages = {1129},
     abstract = "{The land use transition plays an important role for terrestrial
        environmental services, which had a mixed impact of positive and
        negative on the groundwater and terrestrial water resource. The
        health of ecological systems and groundwater depends on the
        mapping and management of land use. The Ganga basin is one of
        the most densely populated and agriculture-intensive river
        systems in the South Asia and the world. The multi-temporal
        spatial database includes land use (ESA-CCI), satellite-based
        gravity anomaly (GRACE/GRACE-FO), and well log (CGWB) adopted in
        this study for assessment of the impact of land use transition
        on groundwater depth, groundwater drought, and terrestrial water
        storage. The methodology includes the computation of land use
        transition, trend magnitude by Sen's slope, Innovative Trend
        Analysis (ITA) for graphical visualization, clustering
        techniques employ to identify pattern \& structure, and finally
        space-time transformation was assessed based on multi-
        dimensional scaling using Alternating Least Squares Scaling
        (ALSCAL). The land use transition over two decades shows an
        increase in forest (2.23\%), wetland (2.2\%), settlement
        (208.4\%), bare area (3.18\%), water (5.18\%), and a decrease in
        agriculture (-1.16\%), grassland (-4.5\%), \& vegetation
        (-2.8\%). The non-parametric climatological trend of groundwater
        depth, drought, and terrestrial water loss was maximally
        observed during the post-monsoon season in the Ganga basin. The
        seasonal climatological trend statistics shows that, the upper
        Ganga and northern (left) of the Ganga basin shows an alarming
        rate of groundwater depletion, with increased in the severity of
        groundwater drought in near future with the loss in terrestrial
        water storage. The ITA shows the monotonic decreasing trend
        depicting loss of groundwater and terrestrial water resources.
        Bi-dimensional regression, ALSCAL shows that the model is
        efficient based on the input data having stress value and RSQ
        (proportion of variance) of 0.09 and 0.97 with excellent linear
        fit. The impact assessment of land use transition was obtained
        in low dimensional space showing that the conversion from sparse
        vegetation, agriculture, grassland, wetland and forest to
        settlement has the maximum impact on groundwater and TWSA loss,
        although the persistent settlement area is also responsible. The
        results are extremely useful for the policymakers, scientists,
        concern Govt. section, and local communities must work together
        to manage groundwater sustainably. Water resource management can
        also help to lessen the effects of climate change on groundwater
        and terrestrial water loss by focusing on the environmental,
        economic, social, and institutional dimensions of UN-SDG.}",
          doi = {10.1038/s41598-024-82207-y},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025NatSR..15.1129U},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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