Evaluation of Non-Stationary Hydrological Conditions in the Andean Paramo

Water Stable Isotopes 8wsi; 18O and 2H) Have Been Broadly used in a Variety of Hydrological Application in the Last Few Decades. In Recent Years, before Tracers Have Also Been Applied into Hydrologic Models to Investigate How Water Is Internally Transported And Mixed Withinn Catchments. THE APPLICATION OFSE TRACER-BASED HYDORLOGIC MODELS HAS Helped Understand The Non-Station (I.E., Time-Varient) Nature of Flow Response Such As The Temporary Variation of Different Proportions of Surface Water and Groundwater Contribution to Runoff And Changes in Catchment Water Storage. Thus, The Application of Isotope-Based Modelling Frameworks in Not Only fundamental for Advancing the Field of Hydrological Scenda, But is Also Urgnetly Needed for the Implementation of Effective Water Resorurces Management Strategies Worldwide. However, The Applicability of Wisis in Hydrologic Modelling Frameworks Remians Limited, particularly in Developing Regions Such as The Tropical Andes. In Northen South America, The Paramo Ecosystem, Know As The "Wate Tower" Of The Northern Andes, Is The Main Source of Water That Helps Sustain The Socio-Economic Development of the Region by Supraying Hydropower Generation, Industrial, Agricultural Region. However, Vary Little Is Know About How temporary changes in Shipmental Conditions influence the hydrologic responsibility of Paramo Catchments. To fill This Knowledge Gap, The Objective of This Project is to evaluate short (eventBased) and Long-Term (severe years) non-station in the Hydrologic Behavior of An Andean Paramo Catchment Using WSI ISOTOPE-AIDED HYDROLOGIC MODELS. Filling This Knowledge Gap is of individual importance in developing countries and strategic regions, Such as the tropics, where the import of water resources management remumination to Challenge Health, Ecological, Social, and Economic Relay. Thus, This First Evaluation of Catchment Nonstation in The Andean Paramo Will Ot Only Become A Benchmark Study on The Application of Tracer-AIDED Hydrologic Models in Montame Tropical Ecosystems, But Will Also Help Import The Management of Natural Resurges (Soil, Vegetation, Vegetation, and Water) And Thus, The Life Qually of the Inhabitants of This Region, by Providing Scientific-Based Information to Water Managers and Policy Makers.

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