Assessment of Usage of Modelling and Simulation Software in Water Resource Engineering Management
Abstract
The use of software tools for modelling and simulation in the water sector is becoming increasingly important for sustainable water resource engineering management. This study X-rays the use of software for modelling and simulation in the water sector. Geospatial Data Abstraction Library (GDAL), Sea Surface Temperature (SST), Soil Water Assessment Tool (SWAT), Land Surface Analysis Satellite Applications Facility (LSA-SAF), data assimilation (DA), GIS, HEC-HMS, EPANET and many other software can assist in obtaining hydrological data. Methodology adopted is literature survey, research questions and experts’opinions. There are copious challenges facing this; in response to these challenges, software tools for modelling and simulation have been increasingly used to support decision-making in the water sector. These tools can simulate hydrological processes, water quality, and flood risk to predict water availability, identify pollution sources, and develop flood management strategies. One of the key benefits of using software tools for modelling and simulation in the water sector is that they enable decision-makers to assess the impact of different scenarios on water resources and identify the most effective strategies to manage them. Despite their benefits, challenges such as model complexity, data management, and lack of standardization still exist. Water scarcity, water quality degradation, flood risk, and ecosystem degradation are among the challenges faced by the water sector due to population growth, urbanization, climate change, and unsustainable water use practices. Hence, stakeholder engagement and collaboration, along with standardized approaches, are essential for effective and sustainable water resource management.References
Oyebode OJ, Paul F. Flood Mitigation and Pollution Abatement in Kaduna Metropolis Through
Engineering Assessment and Analytical Hierarchy Process Design. Nat Environ Pollut Technol.
; 22(2): 789–801.
Oyebode OJ. Sustainable waste management towards the circular economy in Nigerian context:
challenges, prospects, and way forward. In: Ayeni O, Oladokun O, Orodu OD, editors. Advanced
Manufacturing in Biological, Petroleum, and Nanotechnology Processing. Cham: Springer
International Publishing; 2022a; 237–248.
Oyebode OJ. Design of water retaining structures and application of environmental engineering for
a sustainable environment. In: Ayeni O, Oladokun O, Orodu OD, editors. Advanced Manufacturing
in Biological, Petroleum, and Nanotechnology Processing. Cham: Springer; 2022b; 287–299.
Sage J, Berthier E, Gromaire MC. Stormwater management criteria for on-site pollution control: A
comparative assessment of international practices. Environ Manage. 2015; 56(1): 66–80.
Neitsch SL, Arnold JG, Kiniry JR, Williams JR. Soil and Water Assessment Tool Theoretical
Documentation Version 2009. Texas Water Resources Institute, USA. 2011.
Oyebode OJ, Otoko JA. Medical waste management and design of a low-cost incinerator for
reduction of environmental pollution in a multi-system hospital. Nat Environ Pollut Technol. 2022;
(4): 1933–1942.
Foteh R, Garg V, Nikam BR, Khadatare MY, Aggarwal SP, Senthil Kumar A. Reservoir
Sedimentation Assessment through Remote Sensing and Hydrological Modeling. J Indian Soc
Remote Sens. 2018; 46: 1893–1905. doi:10.1007/s12524-018-0843-6
Garg V, Khwanchanok A, Gupta PK, Aggarwal SP, Kiriwongwattana K, Thakur PK, Nikam BR.
Urbanisation Effect on Hydrological Response: A Case Study of Asan River Watershed, India. J
Environ Earth Sci. 2012; 2(9): 39–50.
Lilhare R, Garg V, Nikam BR. Application of GIS Coupled Modified MMF Model to Estimate
Sediment Yield on a Watershed Scale. J Hydrol Eng. 2014; 20(6): C50140021–16. doi.
1061/(ASCE)HE.1943-5584.0001063.
Rawat S, Jain MK, Rawat KS, Nikam BR, Mishra SK. Vulnerability Assessment of Soil
Erosion/Deposition in a Himalayan Watershed using a Remote Sensing and GIS-Based Sediment
Yield Model. Int J Curr Microbiol Appl Sci. 2017; 6(3): 40–56.
Aggarwal SP, Thakur PK, Nikam BR, Garg V. Integrated approach for Snowmelt Runoff Estimation
using Temperature Index Model, Remote sensing and GIS. Curr Sci. 2014; 106(3): 397–407.
Thakur PK, Sumangala A. Flood Inundation Mapping and 1-D Hydrodynamic Modeling Using
Remote Sensing and GIS Techniques. Int Arch Photogramm Remote Sens Spat Inf Sci (ISPRS
Archives). 2007; XXXVI(4): 1–6.
Thakur PK, Aggarwal SP, Garg PK, Garg RD, Mani S, Pandit A, Kumar S. Snow physical parameter
estimation using space-based SAR. Geocarto Int. 2012; 27(3): 263–288.
Aggarwal SP, Garg V, Gupta PK, Nikam BR, Thakur PK. Climate and LULC Change Scenarios to
Study its Impact on Hydrological Regime. Int Arch Photogramm Remote Sens Spat Inf Sci. 2012;
XXXIX-B8: 147–152. doi:10.5194/isprsarchives-XXXIX-B8-147-2012.
Nikam BR, Garg V, Jaya K, Gupta PK, Srivastav SK, Thakur PK, Aggarwal SP. Analyzing Future
Water Availability and Hydrological Extremes in Krishna Basin under Changing Climatic
Conditions. Arab J Geosci. 2018; 11(19): 581. 10.1007/s12517-018-3936-1
Duvenhage DF, Brent AC, Stafford WH. The need to strategically manage CSP fleet development
and water resources: A structured review and way forward. Renew Energy. 2019; 132: 813–825.
Refsgaard JC, Abbott MB. The role of distributed hydrological modelling in water resources
management. Distributed hydrological modelling. Dordrecht: Springer; 1996; 1–16.
