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      <doi>10.14455/ISEC.2026.13(2).HAH-07</doi>
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        <article-title>VALIDATION-LED HYDROCLIMATIC FRAMEWORK FOR A MOUNTAIN WATER-TRANSFER BASIN</article-title>
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      <author>FIDEL ALBERTO CASTRO<sup>1</sup>, JIMMY LEANDRO REYES<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 Civil Engineering, Technical University of Ambato, Ambato, Ecuador<br />
        <sup>2</sup>Dept of Hydraulic Engineering, Pontifical Catholic University of Ecuador, Portoviejo, Ecuador<br />
        <sup>3</sup>Dept of Agricultural Engineering, Manabí Polytechnic School of Agricultural Sciences, Calceta, Ecuador<br />
        <sup>4</sup>Dep of Civil Engineering, Equinoctial Technical University, Santo Domingo, Ecuador<br />
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      <title>ABSTRACT</title>
      <p>Reliable hydrological process modeling in mountain catchments requires rainfall and routing inputs to be validated before recharge, runoff, and erosion are coupled.  This study tests the data-validation stage of an integrated hydroclimatic framework using a 1,335.55 km² watershed polygon, a supplied hydrographic network, six automatic rain gauges for 2014-2023, and an external basin-specific evaluation of CHIRPS and GPM-IMERG.  Geometry and network metrics were recalculated, gauge rainfall was evaluated by leave-one-station-out cross-validation and interpolation sensitivity, and artificial-conveyance significance was quantified from network density, proximity buffers, and changes in distance to the nearest mapped flow path.  The mapped system contains 1,277.50 km of natural drainage and 658.68 km of artificial conveyance.  Adding artificial routes increases natural-plus-artificial network density from 0.957 to 1.450 km km⁻² (+51.6%), places 29.8% of the basin within 500 m of an artificial route and reduces mean distance to the nearest mapped flow path by 21.5%.  Gauge-only interpolation gives 744.5 mm yr⁻¹ and 994.3 hm³ yr⁻¹ of gross atmospheric input, but RMSE is 200.7 mm yr⁻¹ and the gauge convex hull covers only 24.2% of the basin.  The principal contribution is therefore a validation-led workflow that quantifies artificial conveyance and rejects under-supported rainfall forcing before downstream process simulation.</p>
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        <italic>Keywords: </italic>Satellite precipitation, Artificial conveyance, Drainage density, Cross-validation, Uncertainty quantification</p>
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      <hpdf>HAH-07</hpdf>
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