Popular in Engineering

Electronic Engineering

Control of a Wheelchair-Mounted Robotic Arm System

University of South Florida Redwan Alqasemi

Engineering

Spatiotemporal evaporating droplet dynamics on fomites enhances long term bacterial pathogenesis

Indian Institute of Science Saptarshi Basu

Civil Engineering

Suitability of excavated London clay as a supplementary cementitious material

ARUP Fragkoulis Kanavaris

Chemistry

Polyfluorene-Wrapped Carbon Nanotubes Decorated with Photocleavable Side-Chains

McMaster University Alex Adronov

Electronic Engineering

A Trusted and Privacy-Preserving Internet of Mobile Energy

Queensland University of Technology

Engineering

Water Security: Why We Need Global Solutions

Cardiff University

Engineering

Decision-Making Principles for Better Software Design Decisions

Swinburne University of Technology

Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia

View more insights in Civil Engineering

View more figures from University of South Australia

View the page of Faisal Ahammed

Read the Study

Next in Civil Engineering

Least cost pathways to a low carbon electricity system for Australia

Roger Dargaville | Monash University

Towards Sustainable Construction

Xiancun Hu | University of Canberra

The existing drainage systems consider storm water as a waste product and its main focus is on collecting the runoff from urban catchments as quickly as possible and discharging it into the nearby outlets. Faisal Ahammed discusses the Water Sensitive Urban Design (WSUD) technology, which can be implemented in the urban catchments to minimise the negative hydrological impacts due to urbanisation.

Image courtesy of interviewee. September 3, 2024

Generating Workspace...

Export as PDF

This video is a transcription of an interview discussing a study on water-sensitive urban design (WSUD) technologies in South Australia. The researchers aim to determine the optimum number and size of infiltration-based WSUD systems to manage stormwater and reduce hydrological impacts during urbanization. Unlike traditional drainage systems that focus solely on flood management and often discharge runoff into water bodies, WSUD attempts to retain and utilize stormwater resources.

The researcher notes that while there is substantial literature on technological advancements in WSUD, there is limited practical guidance on implementation in residential development. The study seeks to address this gap by applying statistical methods, specifically linear regression, to evaluate multiple factors affecting WSUD effectiveness, including roof area, rainfall intensity, soil conductivity, and storm management strategies.

The outcomes of the analysis are intended to provide practitioners, such as builders and consultants, with modeling equations to calculate optimal infiltration parameters for specific projects. Future research is suggested to incorporate the impacts of climate change and potentially develop a software tool that can streamline this process for practitioners. Overall, the research aims to improve urban stormwater management through a more sustainable and resource-preserving approach.

Language:

Export as PDF

Export as PDF
Here are five key points derived from the video:

1. **Objective of the Study**: The main aim of the study is to determine the optimum number and sizing of water-sensitive urban design (WSUD) technologies specifically for the South Australian convideo, in order to improve urban stormwater management.

2. **Water Sensitive Urban Design**: WSUD is presented as an innovative approach that minimizes flooding and hydrological impacts during urbanization, contrasting with traditional drain systems that focus primarily on capturing and discharging runoff, often at the expense of conserving water resources.

3. **Variability in Terminology**: The concept of WSUD is recognized by various names in different regions, such as low impact development (North America) and sustainable urban drainage systems (Europe), highlighting the global relevance and adaptability of the approach.

4. **Research Limitations**: The study indicates a gap in existing research concerning the practical implementation of WSUD technologies at the residential development level, prompting the need for more individualized studies to determine effective solutions for stormwater management.

5. **Statistical Methodology and Future Applications**: The research employs linear regression analysis to identify factors influencing the sizing of infiltration-based WSUD technologies. There is also a proposal for future applications, including the development of software tools that can help practitioners accurately determine appropriate sizes and numbers of these technologies, taking into account factors like rainfall intensity and soil conditions, as well as potential climate change impacts.

Export as PDF
Here are some key quotes extracted from the video:

1. **Aim of the Study**:
- "The main aim... is to find out the optimum numbering and sizing of water sensitive urban design technologies."

2. **Definition of Water Sensitive Urban Design**:
- "Water sensitive urban design is one kind of innovation in urban stormwater management, which minimizes... flooding, hydrological impacts on urbanization."

3. **Critique of Traditional Drain Systems**:
- "By means of our traditional drain system, we are actually losing our available water resources because we are capturing and we are discharging it into the nearby water bodies."

4. **Need for Alternative Options**:
- "So we would like to get an alternative option, which is actually water sensitive urban design."

5. **Importance of Technological Advancements**:
- "Technologically it is actually proven. But... the study is very limited."

6. **Focus on Infiltration Systems**:
- "We took one initiative, whether we can find out the optimum options, optimum numbering and optimum sizing of infiltration based water sensitive urban design."

7. **Factors Influencing Design**:
- "It depends on many factors like... the area of the roof, rainfall intensity, the soil hydraulic conductivity."

8. **Statistical Methodology Used**:
- "So we applied linear regression... considering all those methodology and all those factors."

9. **Objective of the Modeling Equation**:
- "We would like to find out some modeling equation, which could help the practitioner."

10. **Future Directions**:
- "Maybe in future we could include climate change impacts to develop this modeling equation."

These quotes encapsulate the key themes of the study, including the objectives, critiques of existing systems, the significance of water-sensitive technologies, and future implications.

X-TIMESTAMP-MAP:LOCAL=00:00:00.000,MPEGTS=900000

00:00.105 --> 00:02.405
The main aim, for this study is

00:02.405 --> 00:04.325
to find out the optimum numbering

00:04.425 --> 00:07.685
and sizing of water sensitive urban design technologies.

00:08.065 --> 00:09.285
For South Australian context.

00:10.395 --> 00:12.735
Uh, water sensitive AR design is one kind

00:12.735 --> 00:16.535
of innovation in urban stormwater management, which

00:17.095 --> 00:21.795
minimizes, flooding, hydrological impacts

00:22.415 --> 00:24.195
in, on urbanization.

00:24.735 --> 00:28.195
So traditional, practices in the drain system

00:28.225 --> 00:31.675
through the drain system, we can actually capture the runoff

00:31.695 --> 00:35.435
as completely as possible, after the rainfall.

00:35.855 --> 00:37.075
And the main purpose

00:37.135 --> 00:39.755
of the traditional on the drain system is the flood

00:39.755 --> 00:43.715
management, but by means of our traditional drain system,

00:43.895 --> 00:47.355
we are actually losing our available on the water resources

00:47.355 --> 00:48.475
because we are capturing

00:48.495 --> 00:51.155
and we are discharging it into the nearby water bodies.

00:51.455 --> 00:54.555
So we would like to get an alternative option,

00:54.555 --> 00:56.555
which is actually water sensitive urban design.

00:56.975 --> 01:00.755
So through this, process, we can like, you know, go

01:00.755 --> 01:04.075
for urbanization, but now strong motor management system in

01:04.075 --> 01:07.355
such a way it'll minimize the hydro impacts even in the

01:07.355 --> 01:08.475
urbanization process.

01:08.825 --> 01:12.035
What have been, some, like in the studies,

01:12.035 --> 01:15.755
completed in the field of, water sensitive urban design,

01:15.985 --> 01:18.795
because this term is known as,

01:18.795 --> 01:21.075
the different terms in different regions.

01:21.265 --> 01:24.675
Like in North America, it is known as low impact development

01:25.295 --> 01:27.315
in, Europe and many other countries.

01:27.335 --> 01:30.075
It is known as sustainable urban drain system.

01:30.215 --> 01:32.395
In Australia and New Zealand, Singapore, it is known

01:32.395 --> 01:34.315
as water sensitive urban design.

01:34.815 --> 01:37.195
And in, in, some areas it is known

01:37.195 --> 01:38.355
as green infrastructure.

01:38.735 --> 01:42.475
So if we can combine these terms together, actually,

01:42.975 --> 01:46.595
the few resources, completed, many

01:46.595 --> 01:50.555
of them are in the field of, technological advancement.

01:50.695 --> 01:53.915
So technologically it is actually proven.

01:54.455 --> 01:57.475
But whenever we consider, like, you know, in,

01:57.475 --> 02:00.955
individual elopement wise, which is more practical

02:01.095 --> 02:04.715
to implement, actually the study is very limited.

02:05.335 --> 02:09.315
So individual, alert wise, the study completed in the areas

02:09.495 --> 02:11.155
of rainwater tanks,

02:11.455 --> 02:14.595
but we are looking for other water need alternatives.

02:14.595 --> 02:18.955
So to manage tro motor runoff in like, you know,

02:19.185 --> 02:22.955
indu in, in residential development wise, the study

02:23.135 --> 02:24.995
for water sensor urban design is very limited,

02:25.215 --> 02:27.275
and that's why we took one initiative,

02:27.585 --> 02:30.435
whether we can find out the optimum options,

02:30.905 --> 02:32.835
optimum numbering and optimum sizing

02:33.055 --> 02:36.275
of infiltration based water sensitive urban design in

02:36.275 --> 02:38.955
residential element wise in South Austin context,

02:39.295 --> 02:40.475
the optimum numbering

02:40.495 --> 02:41.995
and optimum sizing of water

02:42.275 --> 02:43.315
sensitive urban design technology.

02:43.315 --> 02:46.515
It depends on, many factors like what would be the,

02:46.515 --> 02:50.315
the area of the roof, what would the rainfall intensity,

02:50.495 --> 02:52.595
the soil hydraulic conductivity.

02:53.175 --> 02:55.875
Uh, sometimes the strategy of the TRO motor management

02:55.875 --> 02:58.675
because, whether we'd like to call it all the

02:58.675 --> 03:02.085
Runoff or we'd like to collect a partial, runoff.

03:02.665 --> 03:05.085
And now what is the critical storm duration?

03:05.435 --> 03:06.885
Like, there are many factors.

03:07.345 --> 03:10.125
So in order to combine all the factor together, we need

03:10.125 --> 03:12.165
to find out one statistical methodology.

03:12.505 --> 03:17.325
So we applied, linear regression, considering,

03:17.625 --> 03:18.805
all those methodology

03:19.305 --> 03:23.485
and all those, factors that I, I told you before.

03:24.875 --> 03:27.175
So like there are three different types

03:27.235 --> 03:31.015
of infiltration system, SOA

03:31.115 --> 03:32.455
and infiltration trends.

03:32.835 --> 03:34.735
So these three types of,

03:34.735 --> 03:38.855
infiltration systems were applied, considered few,

03:39.255 --> 03:41.775
variables under few like,

03:42.555 --> 03:44.535
sub catchments in South Australian.

03:44.755 --> 03:49.015
In the context we consider like whether a, like, you know,

03:49.015 --> 03:51.495
rainwater tank could be utilized in the ment wise

03:51.835 --> 03:56.495
or whether rainwater tank is not included in both way

03:56.725 --> 03:59.855
through regression analysis, through a statistical,

03:59.915 --> 04:03.775
the process by applying spss, model

04:04.155 --> 04:08.775
and considering like some factors, we try

04:08.775 --> 04:10.255
to find out the optimum numbering

04:10.255 --> 04:13.375
and sizing of infiltration based water sensor carbon is a

04:13.375 --> 04:15.055
technologies for southwestern context.

04:15.355 --> 04:18.415
Uh, we would like to find out some, modeling equation,

04:18.995 --> 04:20.655
which could help the practitioner

04:20.845 --> 04:24.095
because the, practitioner whenever, or the builder

04:24.495 --> 04:27.535
whenever they would like to know construct in housing,

04:27.535 --> 04:29.455
they would like to understand what would the optimum

04:29.455 --> 04:32.375
numbering and sizing of infiltration base, technology

04:32.435 --> 04:35.255
and which, technology, among liquid,

04:37.675 --> 04:39.615
could be the most appropriate.

04:40.075 --> 04:43.375
So now the modeling equation we develop,

04:43.555 --> 04:46.895
the practitioners and like, you know, real estate builder

04:47.115 --> 04:50.615
or consulting company could apply those equation

04:50.795 --> 04:53.455
and they can input other variables

04:53.555 --> 04:56.135
and they can get the accurate, number

04:56.195 --> 04:59.735
and sizing of in infiltration based water environment design

04:59.735 --> 05:00.855
for a particular element.

05:01.315 --> 05:03.335
It means that once they'll get the sizing

05:03.595 --> 05:06.375
and optimum numbering, like in the consulting company

05:06.395 --> 05:08.335
or the builder could understand like

05:08.805 --> 05:12.535
what is the most appropriate water sensitive technology

05:12.595 --> 05:15.015
for a particular, development, so

05:15.015 --> 05:18.655
that it could easily be, constructed in this study.

05:18.955 --> 05:23.735
Uh, some inputs are swallow hydro conductivity

05:24.235 --> 05:27.175
or rain for intensity, critical storm duration, et cetera.

05:27.715 --> 05:30.535
So these parameters could be a change due to the,

05:30.595 --> 05:31.775
climate change impacts.

05:32.155 --> 05:35.055
So maybe in future we could include climate change impacts

05:35.075 --> 05:37.215
to develop this, modeling equation.

05:37.635 --> 05:40.975
But in terms of practice, probably the next,

05:41.325 --> 05:44.575
like the step could be whether we could develop a software

05:44.955 --> 05:48.375
or maybe a model, whether like the practitioner

05:48.555 --> 05:52.695
or consulting open, they can input this model's model,

05:52.905 --> 05:54.335
input the variables in the model

05:54.675 --> 05:56.735
and can get the accurate numbering, the sizing

05:56.795 --> 05:59.645
Of infiltration based water sensitive IES technologies.

06:00.145 --> 06:02.645
So in, in short, like

06:03.535 --> 06:07.585
climate change impacts could be incorporated,

06:07.725 --> 06:11.225
for the start, the research findings we completed

06:11.565 --> 06:13.225
and maybe we would like to develop,

06:13.225 --> 06:16.065
one software based on the findings, in future.

"Optimizing Water Sensitive Urban Design Technologies for Stormwater Management in South Australia"

00:00:00 - The main aim, for this study is to find out the optimum numbering and sizing of water sensitive urban design technologies. For South Australian context. water sensitive AR design is one kind of innovation in urban stormwater management, which minimizes, flooding, hydrological impacts in, on urbanization. So traditional, practices in the drain system through the drain system, we can actually capture the runoff as completely as possible, after the rainfall. And the main purpose of the traditional on the drain system is the flood management, but by means of our traditional drain system,
00:00:47 - because we are capturing and we are discharging it into the nearby water bodies. So we would like to get an alternative option, which is actually water sensitive urban design. So through this, process, we can like, you know, go for urbanization, but now strong motor management system in such a way it'll minimize the hydro impacts even in the urbanization process. What have been, some, like in the studies, completed in the field of, water sensitive urban design, because this term is known as, the different terms in different regions. Like in North America, it is known as low impact development
00:01:27 - It is known as sustainable urban drain system. In Australia and New Zealand, Singapore, it is known as water sensitive urban design. And in, in, some areas it is known as green infrastructure. So if we can combine these terms together, actually, the few resources, completed, many of them are in the field of, technological advancement. So technologically it is actually proven. But whenever we consider, like, you know, in, individual elopement wise, which is more practical to implement, actually the study is very limited.
00:02:09 - of rainwater tanks, but we are looking for other water need alternatives. So to manage tro motor runoff in like, you know, indu in, in residential development wise, the study for water sensor urban design is very limited, and that's why we took one initiative, whether we can find out the optimum options, optimum numbering and optimum sizing of infiltration based water sensitive urban design in residential element wise in South Austin context, the optimum numbering and optimum sizing of water sensitive urban design technology. It depends on, many factors like what would be the,
00:02:50 - the soil hydraulic conductivity. sometimes the strategy of the TRO motor management because, whether we'd like to call it all the Runoff or we'd like to collect a partial, runoff. And now what is the critical storm duration? Like, there are many factors. So in order to combine all the factor together, we need to find out one statistical methodology. So we applied, linear regression, considering, all those methodology and all those, factors that I, I told you before. So like there are three different types
00:03:31 - and infiltration trends. So these three types of, infiltration systems were applied, considered few, variables under few like, sub catchments in South Australian. In the context we consider like whether a, like, you know, rainwater tank could be utilized in the ment wise or whether rainwater tank is not included in both way through regression analysis, through a statistical, the process by applying spss, model and considering like some factors, we try

"Developing a Modeling Equation for Optimal Sizing and Numbering of Infiltration-Based Water Sensitive Technologies in Urban Development"

00:04:10 - and sizing of infiltration based water sensor carbon is a technologies for southwestern context. we would like to find out some, modeling equation, which could help the practitioner because the, practitioner whenever, or the builder whenever they would like to know construct in housing, they would like to understand what would the optimum numbering and sizing of infiltration base, technology and which, technology, among liquid, could be the most appropriate. So now the modeling equation we develop, the practitioners and like, you know, real estate builder or consulting company could apply those equation
00:04:53 - and they can get the accurate, number and sizing of in infiltration based water environment design for a particular element. It means that once they'll get the sizing and optimum numbering, like in the consulting company or the builder could understand like what is the most appropriate water sensitive technology for a particular, development, so that it could easily be, constructed in this study. some inputs are swallow hydro conductivity or rain for intensity, critical storm duration, et cetera. So these parameters could be a change due to the, climate change impacts.
00:05:35 - to develop this, modeling equation. But in terms of practice, probably the next, like the step could be whether we could develop a software or maybe a model, whether like the practitioner or consulting open, they can input this model's model, input the variables in the model and can get the accurate numbering, the sizing Of infiltration based water sensitive IES technologies. So in, in short, like climate change impacts could be incorporated, for the start, the research findings we completed and maybe we would like to develop,
00:06:13 -

Faculti AI can make mistakes

Research

Policy

Analysis