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My passion for design and natural environment led me to select the bachelor of Landscape Engineering at University of Tehran.

My passion for design and natural environment led me to select the bachelor of Landscape Engineering at University of Tehran. 70j8k
My passion for design and natural environment led me to select the bachelor of Landscape Engineering at University of Tehran. In this course I got familiar with the concept of ecological design and I was eager to enhance my knowledge regarding ecological landscape design. Therefore, I decided to continue my education in the master of Environmental Design, University of Tehran. I was able to defend my thesis about ecological design of forest parks and the result of this research was published in an article in Persian. Graduating from the University of Tehran, I was hired in two local firms in the field of landscape design. Since then, I have realized the importance of water in landscape design and how vital it is to use water resources efficiently in semi-arid and arid areas. Consequently, I made up my mind to broaden my knowledge in hydrology. Finally, I found the principles of ecological design in the field of hydrology in what is known as Urban Water Sensitive Design, Low Impact Development, Sponge Cities, and Green Infrastructure Development. Serving as academic member in the department of Landscape engineering, Malayer University and taking the responsibility of the head of Green space committee, I found a great opportunity enhance my practical understanding about Landscape design in arid areas. the results of this priceless experience were reflected in two articles namely; “Rainwater harvesting system: A sustainable method for landscape development in semiarid regions, the case of Malayer University campus in Iran” and “Campus landscape design based on resilience approach in water shortage state (case study: Campus of Malayer University)”. Upon further study, it became clear to me that water scarcity in Iran is one of the effects of climate change. Therefore, to achieve a sustainable landscape, we need to adapt to climate change. I conducted a research with name of “The Design of Resilient Green Spaces towards Adapting with Climate Change, Case Study Behesht Boulevard, Borujerd”. This article deals with the problem of plant selection and planning design to adapt climate change. Apart from green infrastructure development, I'm also interested in landscape psychology. I have also conducted studies to identify the variables that enhance aesthetics quality, general satisfaction, restrictiveness, and environments that reduce stress and anxiety. My last published article in this field is entitled “Modeling the relationships between hardscape color and user satisfaction in urban parks “. Using logistic regression and Akaike information criterion, we identified the most important predictive variables out of the studied variables and introduced the fit model explaining the relationships between hardscape color and user satisfaction. I was also assigned as a team member in a cross-cultural study with some researchers from Singapore, Hong Kong, China and Thailand led by Professor Stephen Lau. The purpose of this study is to discover the associations between biodiversity and restorative effects of urban parks. We just finished the process of data gathering and I am in charge of statistical calculations and knowledge discovering. As there are more than two independent variables in this research we are going to use multivariable statistics and Ordination methods to reach the conclusion. I would like to work on a practical framework for resilient green infrastructure development to control runoff in arid or semi-arid regions of the United State in climate change condition. My knowledge about climatic situation in USA is rudimentary but I know that some western states are struggling with water scarcity and climate change draws an obscure future about water availability in these areas. Therefore, it is better for us to be prepared in advance for future climatic situations and have a framework for GID taking the account of available scenarios about global warming. Spatially, recent studies mainly revolve around multi-objective allocation of GI in city scales for current climatic situation and neglect the effects of climate change. For example, without considering the effects of climate change, it is not possible to claim that this place is suitable for GID for the next 50 years, or that place is not suitable. As another example, it is not accurate to say that the combination of green swale - detention pond - rain garden will be efficient for the next 50 years for the purposes of conveyance - detention - irrigation. Additionally, Climate change raises the intensity and frequency of floods in cities and GID is a technique controlling runoff and reduce urban flooding. Taking a deep look to this gap of study from another aspect, we need to define a framework for plant selection to adapt with climate change to have resilient GI for future. The same challenge arises in the participation of stakeholders in GID programs. Therefore, I will try to cover the gap of neglecting climate change phenomena in different aspects of GID. As the first step of the research method, I need to spatially predict climate change trends taking the accounts of probable emission scenarios, carbon cycle models, ice melting speeds and other important variables. Climate change Adaptation Modeler in TerrSet provides practical scenarios for spatially simulating the effects of climate change. Using satellite images with small pixel size will enhance the accuracy. The second step would be devoted to define scenarios of land use change and urban growth. To predict urban growth, SLEUTH (Slope, Land use, Exclusion, Urban, Transportation, and Hill-shade) is a widely used simulation model. Recent studies are also using the tacit knowledge of stakeholders to co-design quantitative scenarios of land use change. As the third step, we need to gather some criteria with their proper spatial dataset which could be used for testing the suitability of each pixel of the map for each GI practice. These criteria could consist of four categories: 1- physical (for example slope, soil types, hydrology, climate and urban fabric, land use). 2- socio-economic consisting of price of land and land availability, demographics, 3- ecological criteria like ecosystem types and existence of natural habitat 4- governance criteria like policies regarding the type of development, opportunities and constraint, land ownerships. Then, I need to evaluate the suitability of each layer with each GI type using proper fuzzy equations. As the next step, it is important to identify those layers that are affected by the climate change, model the future of their changes, and take into account. For example, layers like rainfall, land use, hydrometric connectivity will be influenced while some layers like soil depth and topography will not be affected with climate change. Next, the selected layers will be weighted to determine the extent to which each has an impact on mapping GIs. The weighting process can be done using subjective methods such as the combination of expert panels and AHP, or objective methods such as Shannon entropy. Reaching the weight of each layer, the next step is using Multi-Criteria Evaluation (MCE) methods like Weighted Linear Combination (WLC), Ordered Weighted Averaging (OWA), or Boolean Intersection to overlay the layers and identifying suitable pixels for each GI. To reach an optimized map consisting of GI types that can be allocated spatially, we need to identify exact area for each GI practice using linear programming, weighting method or defining economic scenarios. Then it is possible to optimize the allocation of all GI types using several methods like Multi- objective Land Allocation in TerrSet, or some Heuristic algorithms like simulated annealing optimization. Finally, all of these steps can be packaged in R or Python to be available for urban planners, researchers or authorities to facilitate decision making process. To do my dissertation more efficiently, I think taking some courses about climate change simulation, hydrology and Low Impact Development, GIS, Remote Sensing, Spatial Planning, R and Python software will help me.
My passion for
design
and natural environment led me to select the bachelor of
Landscape
Engineering at
University
of Tehran. In this course I
got
familiar with the concept of ecological
design and
I was eager to
enhance
my
knowledge
regarding ecological
landscape
design
.
Therefore
, I decided to continue my education in the master of Environmental
Design
,
University
of Tehran. I was able to defend my thesis about ecological
design
of forest parks and the result of this
research
was published
in an
article
in Persian. Graduating from the
University
of Tehran, I
was hired
in two local firms in the field of
landscape
design
. Since then, I have realized the importance of
water
in
landscape
design
and how vital it is to
use
water
resources
efficiently
in semi-arid and arid
areas
.
Consequently
, I made up my mind to broaden my
knowledge
in hydrology.
Finally
, I found the principles of ecological
design
in the field of hydrology in what
is known
as
Urban
Water
Sensitive
Design
, Low Impact
Development
, Sponge Cities, and
Green
Infrastructure
Development
. Serving as academic member in the department of
Landscape
engineering,
Malayer
University
and taking the responsibility of the head of
Green
space committee, I found a great opportunity
enhance
my practical understanding about
Landscape
design
in arid
areas
.
the
results of this priceless experience
were reflected
in two
articles
namely
; “Rainwater harvesting system: A sustainable
method
for
landscape
development
in semiarid regions, the case of
Malayer
University
campus in Iran” and “Campus
landscape
design
based on resilience approach in
water
shortage state (case
study
: Campus of
Malayer
University)”
. Upon
further
study
, it became
clear
to me that
water
scarcity in Iran is one of the effects of
climate
change
.
Therefore
, to achieve a sustainable
landscape
, we
need
to adapt to
climate
change
. I conducted a
research
with name of “The
Design
of Resilient
Green
Spaces towards Adapting with
Climate
Change
, Case
Study
Behesht
Boulevard,
Borujerd
”. This
article
deals with the problem of plant selection and planning
design
to adapt
climate
change
.

Apart from
green
infrastructure
development
, I'm
also
interested in
landscape
psychology. I have
also
conducted
studies
to identify the variables that
enhance
aesthetics quality, general satisfaction, restrictiveness, and environments that
reduce
stress
and anxiety. My last published
article
in this field
is entitled
“Modeling the relationships between
hardscape
color and user satisfaction in
urban
parks “. Using logistic regression and
Akaike
information criterion, we identified the most
important
predictive variables out of the studied variables and introduced the fit
model
explaining the relationships between
hardscape
color and user satisfaction. I was
also
assigned as a team member in a cross-cultural
study
with
some
researchers from Singapore, Hong Kong, China and Thailand led by Professor Stephen
Lau
. The purpose of this
study
is to discover the associations between biodiversity and restorative effects of
urban
parks. We
just
finished the process of data
gathering and
I am in charge of statistical calculations and
knowledge
discovering. As there are more than two independent variables in this
research
we are going to
use
multivariable statistics and Ordination
methods
to reach the conclusion.

I would like to work on a practical framework for resilient
green
infrastructure
development
to control runoff in arid or semi-arid regions of the United State in
climate
change
condition. My
knowledge
about climatic situation
in USA
is rudimentary
but
I know that
some
western states are struggling with
water
scarcity and
climate
change
draws an obscure
future
about
water
availability in these
areas
.
Therefore
, it is better for us to
be prepared
in advance for
future
climatic situations and have a framework for GID taking the account of available
scenarios
about global warming.

Spatially
, recent
studies
mainly
revolve around multi-objective allocation of GI in city scales for
current
climatic situation and neglect the effects of
climate
change
. For
example
, without considering the effects of
climate
change
, it is not possible to claim that this place is suitable for GID for the
next
50 years, or that place is not suitable. As another
example
, it is not accurate to say that the combination of
green
swale
-
detention pond
-
rain garden will be efficient for the
next
50 years for the purposes of conveyance
-
detention
-
irrigation.
Additionally
,
Climate
change
raises the intensity and frequency of floods in cities and GID is a technique controlling runoff and
reduce
urban
flooding.

Taking a deep look to this gap of
study
from another aspect, we
need
to define a framework for plant selection to adapt with
climate
change
to have resilient GI for
future
. The same challenge arises in the participation of stakeholders in GID programs.
Therefore
, I will try to cover the gap of neglecting
climate
change
phenomena in
different
aspects of GID.

As the
first
step
of the
research
method
, I
need
to
spatially
predict
climate
change
trends taking the accounts of probable emission
scenarios
, carbon cycle
models
, ice melting speeds and other
important
variables.
Climate
change
Adaptation Modeler in
TerrSet
provides practical
scenarios
for
spatially
simulating the effects of
climate
change
. Using satellite images with
small
pixel size will
enhance
the accuracy. The second
step
would
be devoted
to define
scenarios
of
land
use
change
and
urban
growth. To predict
urban
growth, SLEUTH (Slope,
Land
use
, Exclusion,
Urban
, Transportation, and Hill-shade) is a
widely
used
simulation
model
. Recent
studies
are
also
using the tacit
knowledge
of stakeholders to co-design quantitative
scenarios
of
land
use
change
. As the third
step
, we
need
to gather
some
criteria
with their proper spatial dataset which could be
used
for testing the suitability of each pixel of the map for each GI practice. These
criteria
could consist of four categories: 1- physical (for
example
slope, soil
types
, hydrology,
climate
and
urban
fabric,
land
use
). 2-
socio-economic
consisting of price of
land
and
land
availability, demographics, 3- ecological
criteria
like ecosystem
types
and existence of natural habitat 4- governance
criteria
like policies regarding the
type
of
development
, opportunities and constraint,
land
ownerships
. Then, I
need
to evaluate the suitability of each
layer
with each GI
type
using proper fuzzy equations. As the
next
step
, it is
important
to identify those
layers
that are
affected
by the
climate
change
,
model
the
future
of their
changes
, and take into account. For
example
,
layers
like rainfall,
land
use
, hydrometric connectivity will
be influenced
while
some
layers
like soil depth and topography will not be
affected
with
climate
change
.
Next
, the selected
layers
will
be weighted
to determine the extent to which each has an impact on mapping
GIs
. The weighting process can
be done
using subjective
methods
such as the combination of expert panels and
AHP
, or objective
methods
such as Shannon entropy. Reaching the weight of each
layer
, the
next
step
is using Multi-Criteria Evaluation (MCE)
methods
like Weighted Linear Combination (
WLC
), Ordered Weighted Averaging (OWA), or Boolean Intersection to overlay the
layers
and identifying suitable pixels for each
GI
. To reach an optimized map consisting of GI
types
that can
be allocated
spatially
, we
need
to identify exact
area
for each GI practice using linear programming, weighting
method
or defining economic
scenarios
. Then it is possible to optimize the allocation of all GI
types
using several
methods
like Multi- objective
Land
Allocation in
TerrSet
, or
some
Heuristic algorithms like simulated annealing optimization.
Finally
, all of these
steps
can
be packaged
in R or Python to be available for
urban
planners, researchers or authorities to facilitate
decision making
process.

To do my dissertation more
efficiently
, I
think
taking
some
courses about
climate
change
simulation, hydrology and Low Impact
Development
, GIS, Remote Sensing, Spatial Planning, R and Python software will
help
me.
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IELTS essay My passion for design and natural environment led me to select the bachelor of Landscape Engineering at University of Tehran.

Essay
  American English
7 paragraphs
1270 words
5.5
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Coherence and Cohesion: 5.5
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