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Mafrid Haydar

Publications and source records attributed to Mafrid Haydar.

2 recordsLinked to original sources

Reconstruction of Global Groundwater Storage Anomaly from GRACE Satellite Gravimetry Using a Physics-Constrained Decomposition LSTM

Groundwater is the largest accessible store of freshwater on Earth, yet its depletion has been difficult to quantify globally, because satellite gravimetry senses total water storage rather than groundwater alone, the record is coarse and interrupted, and the models used to isolate groundwater underestimate the largest trends. Here, a continuous and physically bounded record of global groundwater storage change was reconstructed for April 2002 to December 2022 at half-degree resolution. Total water storage from the GRACE and GRACE-FO missions was separated from its land-surface components, and a physics-constrained decomposition network learned the groundwater signal as the sum of a trend, a seasonal cycle, and a residual. The trend of every cell was held within the net moisture that the atmosphere can supply, and the mass balance of each river basin was enforced during training, so the learned field could not violate water availability. The reconstruction reproduced withheld observations with a root mean squared error of 6.97 centimeters and a Nash-Sutcliffe efficiency of 0.69, and against an independent network of monitoring wells it achieved a lower trend error than an independent hydrological model and a data-assimilation product at every aggregation scale tested. Gross groundwater depletion over significantly declining cells was estimated at 358 +/- 12 cubic kilometers per year, while net storage change across all land cells was -36 +/- 18 cubic kilometers per year, equivalent to 0.10 +/- 0.05 millimeters per year of sea-level rise. The associated mass redistribution implies a drift of the Earth's rotational pole of 6.9 centimeters per year toward 68.6 degrees East, within 4.5 degrees of the direction inferred in an earlier study.

physics.geo-ph↗

A Root-Zone Soil Salinity Observatory for Coastal Southwest Bangladesh

The research assesses soil salinity in the southwest coastal region of Bangladesh, collecting a total of 162 topsoil samples between March 1 and March 9, 2024, and processing them following the standard operating procedure for soil electrical conductivity (soil/water, 1:5). Electrical conductivity (EC) measurements obtained using a HI-6321 advanced conductivity benchtop meter were analyzed and visualized using bubble density mapping and the Empirical Bayesian Kriging interpolation method. The findings indicate that soil salinity in the study area ranges from 0.05 to 9.09 mS/cm, with the highest levels observed near Debhata and Koyra. A gradient of increasing soil salinity is clearly evident from the northern to southern regions. This dataset provides a critical resource for soil salinity-related research in the region, offering valuable insights to support decision-makers in understanding and mitigating the impacts of soil salinity in Bangladesh's coastal areas.

physics.geo-ph↗