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      <doi>10.14455/ISEC.2026.13(2).HAH-06</doi>
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        <article-title>GEOSPATIAL RAINFALL-STRESS TESTING OF COMPOUND HYDRO-SEDIMENTARY HAZARDS IN A COASTAL BASIN</article-title>
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      <author>JIMMY LEANDRO REYES<sup>1</sup>, FIDEL ALBERTO CASTRO<sup>2</sup>, PALMA WASHIGTON PALMA<sup>1</sup>, LUIS MIGUEL MEJÍA<sup>3</sup> and ANGEL MACIAS IVAN<sup>4</sup></author>
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        <sup>1</sup>Dept of Hydraulic Engineering, Pontifical Catholic University of Ecuador, Portoviejo, Ecuador<br />
        <sup>2</sup>Dept of Civil Engineering, Technical University of Ambato, Ambato, Ecuador<br />
        <sup>3</sup>Dept of Agricultural Engineering, Manabí Polytechnic School of Agricultural Sciences, Calceta, Ecuador<br />
        <sup>4</sup>Dept of Civil Engineering, Equinoctial Technical University, Santo Domingo, Ecuador<br />
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      <title>ABSTRACT</title>
      <p>Compound hydro-sedimentary hazards are often screened by overlaying flood and erosion indicators without explicitly separating sediment source, transfer pathway, and downstream receptor processes. This study develops a source-pathway-receptor geospatial framework for a 2,337.76 km² coastal basin using a 10 m DEM, hydrologically conditioned D8 routing, distributed travel time, SCS-CN runoff transformation, HAND-TWI flood susceptibility, RUSLE soil-loss estimation, and structural sediment connectivity. The spatial concentration time was 28.17 h, only 2.9% above the 27.37 h regional benchmark. The historical 100-year peak discharge of 1,700.2 m³/s increased to 1,884.5 and 2,210.2 m³/s under +8% and +22% rainfall stress tests. Mean potential soil loss was 68.75 t ha⁻¹ yr⁻¹, with 39.20% of the basin exceeding 50 t ha⁻¹ yr⁻¹. High and Very High compound-hazard classes occupied 33.71% historically and expanded to 44.11% and 61.98% under the two stress scenarios. The methodological contribution is the explicit linkage of erosion source magnitude, sediment-transfer connectivity, and flood-prone receptor terrain using fixed scenario-independent thresholds, while concentration time is independently checked against regional evidence. The framework therefore supports comparable climate-stress screening and infrastructure prioritization without presenting susceptibility as deterministic hydraulic inundation.</p>
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        <italic>Keywords: </italic>HAND, RUSLE, SCS-CN, Geospatial modeling, Infrastructure resilience</p>
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      <hpdf>HAH-06</hpdf>
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