Adnan Rajib || The H2I Lab
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Featured Work

Natural Infrastructure

Flood reduction and water quality mediation capacities of natural infrastructures are largely disregarded in conventional environmental modeling and management practices. We are filling this knowledge gap.
Related publications:
  • Rajib et al., 2020. DOI: 10.1029/2019WR026561​
  • Golden et al., 2021. DOI: 10.1088/1748-9326/ac1fbc

Human Alterations of Natural Floodplains 

We are quantifying human alterations of natural floodplains in the world' major river basins. Our study is the first to discover a significant 35,000 square kilometers loss of natural floodplains in the Mississippi River Basin between 1941 and 2000. 
Related publications:
  • Rajib et al., 2021. DOI: 10.1038/s41597-021-01048-w​​

Large-scale Locally Relevant Flood Modeling

There is little practical value in a so-called large-scale flood model when that model disregards numerous small tributaries and produces data only for the major rivers. We made "large-scale yet locally relevant" flood predictions feasible.
Related publications:
  • Rajib et al., 2020. DOI:10.1016/j.jhydrol.2019.124406  
  • Maidment et al., 2016. DOI: 10.4211/technical.20161019

Watershed Modeling with Big Data

Remotely sensed Earth Observations can limit watershed models' tendency to give "right answers for wrong reasons". We developed an advanced SWAT modeling framework which automatically assimilates these emergent datasets.
Related publications:
  • Rajib et al., 2020. DOI: 10.3390/rs12132148 ​ 
  • Rajib et al., 2018. DOI:10.1029/2017WR021147

Cyber-infrastructure for Hydrology 

We develop innovative ways for web-based access, integration, simulation, and visualization of hydrologic data, metadata, and models. Our work contributes to Findable, Accessible, Interoperable, and Reproducible (FAIR) geoscience.
Related publications:​
  • Rajib et al., 2016. DOI:10.1016/j.envsoft.2015.10.032 
Last updated: August 19, 2020
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