Optimizing the Frequency of Data Collection through Citizen Science - An Application of Analysis of Variance and Data Visualization

Authors

Alexandra Mroz, Appalachian State UniversityFollow
Lakshmi Iyer, Appalachian State UniversityFollow
Basant Maheshwari, Western Sydney UniversityFollow
Akramul Bhuiyan, Appalachian State UniversityFollow

Abstract

India is the largest user of groundwater in the world with an estimated usage of 230 km3 per year (World Bank, 2010; Saha et al., 2018; Goswami and Ghosal, 2022). Globally, areas under groundwater irrigation are the highest in India (39 million ha), followed by China (19 million ha) and the USA (17 million ha), and at present 204 km3 y-1 of groundwater is pumped annually in India (Siebert et al., 2010). Recognizing the problem and the importance of groundwater in rural areas of the country, The Managing Aquifer Recharge and sustaining Groundwater Use through Village-Level Intervention (MARVI) project commenced in 2011 to improve water security for rural communities. The project aims to teach rural communities to become more self-efficient and better manage their precious resources.

Recommended Citation

Mroz, Alexandra; Iyer, Lakshmi; Maheshwari, Basant; and Bhuiyan, Akramul, "Optimizing the Frequency of Data Collection through Citizen Science - An Application of Analysis of Variance and Data Visualization" (2022). Proceedings of the 2022 Pre-ICIS SIGDSA Symposium. 4.
https://aisel.aisnet.org/sigdsa2022/4