About HMCCD

HMCCD is an excellent platform for students, researchers, faculties, industry persons, professionals, and Hydrologists to gain knowledge on applications of different computational tools in Water Resources Engineering. Only theoretical knowledge is not sufficient to work in real-field problems. Therefore, this workshop/training mainly focuses on hands-on training on different computational tools for field applications related to water resources engineering. Watershed delineation, LULC map preparation, remote sensing application, satellite image processing, Climate Change Projections, Rainfall-runoff simulation, Sediment yield prediction, Non-point source nutrient load estimation, Downscaling and Bias Correction of Climate Change Data, are such areas of Water resources engineering, which require a thorough knowledge of relevant software and their working. Thus, the main objective of the proposed workshop is hands-on training on some of the essential software used in Water Resources Engineering. 

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Objectives:

The course is designed for students, academicians, research scholars, industry professionals and scientists in Water Resources Engineering. The prime objective of the course is to provide hands-on training on solving field problems in areas of Water Resources Engineering using different computational tools.

Course Content:

Day-1: Technical background  

• Keynote Lecture on basics of hydrological modelling using climate change data  

• Technical background of ArcGIS, SWAT, and DYNA-CLUE models. 

• Data downloading and software installation. 

Day-2: Hands-on training on climate change data  

• Climate change data downloading, downscaling, and bias correction using MatLab/R/python. 

• Selection of best GCMs to project climate change data using Compromise programming and rating metric method. 

• Multimodal ensemble-based approach in climate change projection. 

Day-3: Hands-on training on future LULC  

• Watershed delineation, shape file preparation, LULC preparation. 

• Future LULC preparation using DYNA-CLUE software. 

Day-4: Hands-on training on SWAT Model  

• Input data preparation for SWAT modelling (e.g., LULC, soil map preparation, DEM). 

• Rainfall-runoff simulation using SWAT. 

• Sediment yield and nutrient load estimation using SWAT. 

Day-5: Hands-on training on SWAT-CUP & BMPs  

• Calibration and validation of the SWAT model using SWAT-CUP 

• Evaluation of Best Management Practices (BMPs) mitigating the nonpoint source pollution using SWAT Model. 

HMCCD-2025 Committee: