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A decision support system, in watershed management, uses data
to assist in analysis and decision making, allowing people
involved in management decisions to model potential scenarios
before putting ideas into action.
Many if not all Australian water consultancies operate Decision
Support Systems, either developed in-house or drawn from a
variety of specialist Decision Support Systems available on the
market.
For example, Chris O’Neill of Hydronumerics says their
consultancy uses DSS’s in many of its water management
projects, integrating sensor networks, data analysis, and
numerical models to create and deliver observations, forecasts
and analytical tools.
This means that any decisions made in the realm of water
management can be backed by quantifiable data, and important
aspect of understanding a source of water and how it is used.
The Hydronumerics' DSS
software can emulate all water
resources, from lakes to
estuaries, and explore factors
like temperature, salinity, and
biogeochemistry within
surface waters as well as
environmental forcing.
From days to years, the time
span of how these factors
impact water resources can be
deeply explored through
modelling, giving results
based on actual data and
research.
Hydronumerics has brought its DSS success to India in
the past, assisting in watershed management in a region
that is facing high demand from agriculture, industry, and
human use, with a dwindling supply. Water scarcity is an
issue of growing importance in India, and informed
practices like DSS have helped bring the importance of
good management to light.
One of the keys to implementing long-term and feasible
water management is having a strong understanding of
the water asset, how it is used, and the values attached to
it. A well-applied DSS allows for this complete
understanding, owing to its careful and complete analysis
of all of the data involved.
In India, Hydronumerics has done work with a
cooperative in Gujarat, assessing how ocean outfalls from
wastewater treatment plants have impacted the
environment, and developing water management tools
and techniques within Rajasthan villages.
This meets the common stakeholder objective for water
management, using hard data and relevant information,
while factoring in users perspectives, habits, and ideals.
“What we're trying to say is, let’s understand what the
current impacts are and what the future impacts are,”
explains Chris O’Neill. “It takes it back to that DSS… If we
can balance all those things that's what the environmental
engineers, that's what our job, should be for. How do we
preserve the environmental values but also make sure
people have a livelihood?”
Hydronumerics also developed an online Water Quality
Index (WQI) report card for the Ganga River in Uttar
Pradesh, India, used to turn complicated environmental
data into a user-friendly format that shares vital
information with a wide variety of audiences.
Conclusion
By using Decision Support
Systems, water engineers and
other professionals can make
a big impact on the longevity
of water resources around the
world, without having to
invest a lot of time or money
at the outset. Projects will be
more likely to succeed,
benefiting the environment,
industry, and human users of
all global water assets.
Decision Support System

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Decision Support System

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. A decision support system, in watershed management, uses data to assist in analysis and decision making, allowing people involved in management decisions to model potential scenarios before putting ideas into action. Many if not all Australian water consultancies operate Decision Support Systems, either developed in-house or drawn from a variety of specialist Decision Support Systems available on the market. For example, Chris O’Neill of Hydronumerics says their consultancy uses DSS’s in many of its water management projects, integrating sensor networks, data analysis, and numerical models to create and deliver observations, forecasts and analytical tools. This means that any decisions made in the realm of water management can be backed by quantifiable data, and important aspect of understanding a source of water and how it is used.
  • 16. The Hydronumerics' DSS software can emulate all water resources, from lakes to estuaries, and explore factors like temperature, salinity, and biogeochemistry within surface waters as well as environmental forcing. From days to years, the time span of how these factors impact water resources can be deeply explored through modelling, giving results based on actual data and research.
  • 17.
  • 18. Hydronumerics has brought its DSS success to India in the past, assisting in watershed management in a region that is facing high demand from agriculture, industry, and human use, with a dwindling supply. Water scarcity is an issue of growing importance in India, and informed practices like DSS have helped bring the importance of good management to light. One of the keys to implementing long-term and feasible water management is having a strong understanding of the water asset, how it is used, and the values attached to it. A well-applied DSS allows for this complete understanding, owing to its careful and complete analysis of all of the data involved.
  • 19. In India, Hydronumerics has done work with a cooperative in Gujarat, assessing how ocean outfalls from wastewater treatment plants have impacted the environment, and developing water management tools and techniques within Rajasthan villages. This meets the common stakeholder objective for water management, using hard data and relevant information, while factoring in users perspectives, habits, and ideals. “What we're trying to say is, let’s understand what the current impacts are and what the future impacts are,” explains Chris O’Neill. “It takes it back to that DSS… If we can balance all those things that's what the environmental engineers, that's what our job, should be for. How do we preserve the environmental values but also make sure people have a livelihood?” Hydronumerics also developed an online Water Quality Index (WQI) report card for the Ganga River in Uttar Pradesh, India, used to turn complicated environmental data into a user-friendly format that shares vital information with a wide variety of audiences.
  • 20. Conclusion By using Decision Support Systems, water engineers and other professionals can make a big impact on the longevity of water resources around the world, without having to invest a lot of time or money at the outset. Projects will be more likely to succeed, benefiting the environment, industry, and human users of all global water assets.