Using the IoT Sustainability Assessment Test to Assess Urban Sustainability DOI Creative Commons
Vadim Kankhva, Mohsin Ikram, Ankur Bahl

et al.

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 86, P. 01078 - 01078

Published: Jan. 1, 2024

Using the IoT Sustainability Assessment Test, effects of sustainable transportation on urban development are thoroughly investigated in this study. In order to provide a comprehensive picture sustainability across diverse metropolitan regions, research combines data from many indicators, sensor data, evaluation scores, and demographic data. The results highlight need for customized planning approaches meet particular traits difficulties each zone, highlighting critical role that mobility plays promoting environmental stewardship raising standard living areas. Data-driven insights provided policymakers, enabling them formulate fair efficient policies by taking cues high-scoring regions encourage lower-scoring end, study adds current conversation provides road map developing more livable settings.

Language: Английский

Sustainable Groundwater Recharge Potential Zone Identification: An AHP-OWA Approach Integrating Future Rainfall and Land-Use Projections DOI
Shweta Kodihal, M. P. Akhtar

Water Resources Management, Journal Year: 2023, Volume and Issue: 38(3), P. 1079 - 1098

Published: Dec. 27, 2023

Language: Английский

Citations

10

Hydroclimatic projection: statistical learning and downscaling model for rainfall and runoff forecasting DOI Creative Commons
Shweta Kodihal, M. P. Akhtar, Satya Prakash Maurya

et al.

Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(2), P. 759 - 772

Published: Jan. 19, 2024

Abstract The study is carried out to investigate the surface runoff depth with changing precipitation due climate change in area where sandy loam and loamy soil are dominant. In this study, future rainfall projected by a statistical downscaling model (SDSM) using set of predictors derived from Coupled Model Intercomparison Project Phase 6 (CMIP6) global (GCM) [the Norwegian Earth System (NorESM)] updated scenarios SSP 4.5 8.5. Daily values for observed period (1981 2014) validated learning evaluated matrices, namely, root mean square error (RMSE), coefficient correlation, Nash–Sutcliffe efficiency (NSE), which found be valid further predictions. Rainfall projections show decrease trend 50% 2030 2040 scenario an increase 7% 2050. Predicted 8.5 shows similar decreasing 24% 2030–2040 19% 2040–2050. Furthermore, these spatially modelled geographic information system (GIS) maps obtained. obtained map, land-use map overlaid compute curve numbers depths. A 2030–2050. overall water-stressed scenario.

Language: Английский

Citations

2

Using the IoT Sustainability Assessment Test to Assess Urban Sustainability DOI Creative Commons
Vadim Kankhva, Mohsin Ikram, Ankur Bahl

et al.

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 86, P. 01078 - 01078

Published: Jan. 1, 2024

Using the IoT Sustainability Assessment Test, effects of sustainable transportation on urban development are thoroughly investigated in this study. In order to provide a comprehensive picture sustainability across diverse metropolitan regions, research combines data from many indicators, sensor data, evaluation scores, and demographic data. The results highlight need for customized planning approaches meet particular traits difficulties each zone, highlighting critical role that mobility plays promoting environmental stewardship raising standard living areas. Data-driven insights provided policymakers, enabling them formulate fair efficient policies by taking cues high-scoring regions encourage lower-scoring end, study adds current conversation provides road map developing more livable settings.

Language: Английский

Citations

1