RWater: A WaterHub tool for K-12 School Hydrology Education
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Abstract
Enhancing students’ analytical ability of interpreting complex hydrologic processes from limited classroom environment has been a subject of long-standing research. From this perspective, a new internet-based educational tool, called RWater, is developed using HUBzero based WaterHUB. The current version of RWater interface includes the following three elements: (i) coding workspace, (ii) visualization window, and (iii) instruction modules, providing a self-contained learning environment that instructors and students can use from any location and/or device. Following real-time hydrologic data-driven modules, students can write small scripts in R to create visualizations identifying the effect of rainfall distribution and watershed characteristics on streamflow response, seasonal characteristics of hydrologic cycle, and investigate the impacts of landuse change on streamflow. Each module contains relevant definitions, instructions on data extraction and coding, as well as conceptual questions based on the possible visualizations which the students would create. In order to assess its suitability in real time classroom atmosphere and to evaluate learners’ perception over its utility, the current version of RWater is tested under two different settings: (i) with high school students in a limited week long training program, and (ii) with middle and high school teachers in a two-day workshop mode. The evaluation survey results from these programs suggest that the RWater has potential to improve students’ understanding on various cause-and-effect relationships in natural water cycle, leading towards effective hydrology education at K-12 level.
Bio
Dr. Venkatesh Merwade is an associate professor in the school of civil engineering at Purdue University. His research and teaching interests include solving of water resources issues by using geographic information systems, computer modeling and hydrologic information systems. Currently he is working on projects related to flood modeling and mapping, soil moisture data assimilation and cyberinfrastructure development for hydrology.
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