Nothing is softer or more flexible than water, yet nothing can resist it.

~Lao Tzu

Welcome !!

The MO WATER group consists of watershed hydrology researchers of School of Infrastructure, Indian Institute of Technology (IIT) Bhubaneswar, Odisha, India. Our research focuses on simulating hydrological processes using reliable, simpler and parsimonious tools such as water balance models (SWAT, HEC-HMS, GR4J), machine-learning (ANN, RNN, LSTM, RVM) and data analytics-based models, utilizing measured/monitored as well as remote sensing-derived datasets. These models find applications in modeling/monitoring/early warning of hydrological extremes (droughts, floods), modeling of local-scale food-energy-water nexus and development of decision support system (DSS). 

The group gratefully acknowledges mentors, collaborators and teachers who have been an inspiration to us: Prof. Rao Govindaraju (Purdue University), Prof. P P Mujumdar (IISc Bangalore), Prof. R K Panda (IIT Bhubaneswar), Prof. U C Mohanty (IIT Bhubaneswar), Prof. C S P Ojha (IIT Roorkee), Prof. Rajib Maity (IIT Kharagpur), Prof. Binayak Mohanty (TAMU), Prof. Jörg Dietrich (Leibniz University Hannover), and Prof. Meghna Babbar-Sebens (Oregon State University) among others who have been role models themselves. Sincere thanks to the School of Infrastructure & IIT Bhubaneswar fraternity for their constant support and encouragement. 

Note: In the regional language (Odiya) of Odisha, 'mo' (ମୋ ) means 'my'.

AREAS OF RESEARCH 

RESEARCH HIGHLIGHTS

Hydro-meteorological data monitoring and AWS-based data collection in Odisha

Development of hydrometeorological monitoring stations at few locations in the state of Odisha has been undertaken under different sponsored research projects in the last few years, and there are state-of-the-art laboratory facilities in place at our Institute for water resources research. We installed digital water level recorder (DWLR) and staff gauges at the outlet points in study micro-watersheds of Dhenkanal district to generate observed streamflow data for regional hydrological modeling studies. This is complemented by the current meter data collected on a daily basis at the gauging locations. More 

Linking outputs of GCM with crop growth model to study impacts of climate change on water demand

To examine the impacts of future climate change on crop water requirements of seasonal crops including cereals (maize), pulses, oil crops (groundnut) and vegetable crops (tomato) and root crops (potato) that are grown in a tropical climate watershed, CROPWAT 8.0 model was run for both baseline (1961–1990) and future (2041–2070) climate. Gridded future temperature and rainfall projections from the CanESM2 general circulation model (GCM) under the most severe scenario: shared socio-economic pathway (SSP585) are utilized for impact assessment. More 

Rainfall Pattern Drought Index (RPDI) to study climate change impacts on drought patterns

RPDI is a new variant of standardized precipitation index that incorporates the number of rainy days information in addition to magnitude of rainfall to characterize the meteorological drought severity. This bivariate copula-based rainfall pattern drought index (RPDI), available at different time scales (3-, 6- and 12-months) can simulate and compare droughts of future under with todays' for understanding impacts of climate change on droughts. More 

RECENT UPDATES

October 2023

September 2023

August 2023

JULY 2023

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MAY 2023

APRIL 2023

MARCH 2023

FEBRUARY 2023

JANUARY 2023

Attending EWRA 2023

RESEARCH COLLABORATIONS

In the recent past, the MO WATER group has been able to expand their research into multiple paradigms of watershed hydrology, thanks to collaboration with international and national investigators, via sponsored research projects and academic exchange programmes (GIAN, SPARC, DAAD). At IIT Bhubaneswar, our team members have collaboration with faculty members from School of Earth Ocean and Climate Sciences (SEOCS) and School of Electrical Sciences (SES). Our team is also connected with domain experts and scientists from Oregon State University, Leibniz University Hannover, IIT Hyderabad, OUAT, ICAR-IIWM Bhubaneswar, ORSAC, SOA University, Centurion University and Saveetha University.

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