The interplay between urbanization, vegetation loss and surface heat island in cities: two decadal empirical evidence from Pakistan
Theoretical and Applied Climatology,
Journal Year:
2024,
Volume and Issue:
155(12), P. 9911 - 9928
Published: Oct. 18, 2024
Language: Английский
Influence of Urban Commercial Street Interface Morphology on Surrounding Wind Environment and Thermal Comfort
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(1), P. 53 - 53
Published: Jan. 7, 2025
In
recent
climate-adaptive
design
strategies,
there
has
been
a
growing
interest
in
creating
healthy
and
comfortable
urban
microclimates.
However,
not
enough
attention
paid
to
the
influence
of
street
interface
morphology
order
better
understand
wind–thermal
conditions
various
commercial
streets
within
city
create
sustainable
built
environment.
This
research
summarizes
categorizes
according
their
functions
types
attributes
then
abstracts
ideal
models
three
typical
explore
effects
changes
specific
morphological
parameters
on
environments.
Firstly,
this
study
selects
out
that
affect
morphology.
Then,
it
uses
numerical
simulation
software
PHOENICS2019
simulate
investigate
wind
environment
thermal
comfort.
The
results
show
(1)
neighborhood-commercial
streets,
reducing
void
ratio
variance
height
fluctuations
can
enhance
average
speed
while
temperature
improving
comfort;
(2)
business-office
value
is
negatively
correlated
with
comfort,
aspect
are
positively
correlated;
(3)
comprehensive-commercial
decrease
will
reduce
its
increase
temperature,
thus
weakening
comfort
pedestrians.
contrast,
as
well
do
significantly
These
conclusions
from
provide
theoretical
basis
methodological
reference
for
creation
safer,
resilient
Language: Английский
Diurnal Pattern of Heat Stress Over South Asia: A Wet Bulb Globe Temperature‐Based Analysis From 1984 to 2023
International Journal of Climatology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 18, 2025
ABSTRACT
Assessing
the
diurnal
characteristics
of
heat
stress
is
crucial
for
understanding
its
daily
dynamics
and
impacts.
This
study
evaluates
various
using
Wet
Bulb
Globe
Temperature
(WBGT)
over
South
Asia
from
1984
to
2023.
The
Copernicus
Climate
Change
Service
hourly
ERA5
dataset
was
used
calculate
WBGT
Liljegren
method
assess
stress,
heatwave
events,
duration
range
different
thresholds.
results
revealed
significant
disparities
in
Asian
regions.
western
southeastern
regions
are
more
susceptible
extreme
(≥
32.2°C),
while
severe
31.1°C
<
32.2°C)
predominantly
affected
central
eastern
Pakistan
southern
India.
part
experiences
an
average
5.8
with
a
cumulative
total
580
h.
indicated
than
8°C
Conversely,
areas
no
located
Himalayas
northern
Afghanistan.
annual
hours
increased
by
120
h
between
early
(1984–2003)
late
(2004–2023)
periods,
days
15
days.
Other
also
recent
decades
compared
1984–2003,
suggesting
implementation
measures
mitigate
future
increases.
These
findings
highlight
urgent
need
adaptive
strategies
address
escalating
region,
especially
vulnerable
highly
populated
Asia.
Language: Английский
Assessing the Deadly Heat Waves Over South Asian Cities: An Insights From UTCI and WBGT Indices
International Journal of Climatology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
ABSTRACT
This
study
analysed
South
Asia's
most
devastating
heat
waves
over
the
past
four
decades
using
ERA5
hourly
reanalysis
data
from
European
Centre
for
Medium‐Range
Weather
Forecasts
(ECMWF).
Two
stress
indices,
Universal
Thermal
Climate
Index
(UTCI)
and
Wet
Bulb
Globe
Temperature
(WBGT),
were
employed
to
evaluate
characteristics,
meteorological
variable
behaviour
diurnal
temperature
range
(DTR)
across
selected
cities.
The
findings
revealed
that
while
both
indices
effectively
captured
wave
events,
WBGT
demonstrated
superior
performance,
particularly
in
assessing
nighttime
stress,
where
UTCI
often
underestimated
severity.
For
instance,
during
1995
Bareilly,
daytime
exceeded
extreme
threshold
of
46.0°C
second
event
but
dropped
close
lower
limit
26.0°C
at
night.
In
contrast,
consistently
remained
above
lowest
25.6°C.
Karachi
(2015),
surpassed
level
32.2°C
day
25.6°C
night
consecutive
days.
Inland
marked
by
air
spikes
40°C
reduced
wind
speeds
(below
2
m/s),
coastal
cities
like
Visakhapatnam
experienced
prolonged
values
fluctuating
between
38.0°C
46.0°C.
DTR
analysis
further
fluctuations
exceeding
20°C
inland
within
a
6.6°C
range,
highlighting
its
stability
better
representation
persistent
stress.
Further
results
higher
sensitivity
local
variables
relative
humidity
speed
has
made
it
effective
regions
with
high
humidity.
Language: Английский
Modeling Spatial PM2.5 Risk Dynamics and Projecting Disease Burden in Pakistan
Environmental Pollution,
Journal Year:
2025,
Volume and Issue:
unknown, P. 126060 - 126060
Published: March 1, 2025
Language: Английский
Improved Temperature Trend Forecasting in Major Pakistani Cities Using XGBoost and other Ensemble Machine Learning Models
Muhammad Bilal,
No information about this author
Mohsin Mumtaz,
No information about this author
Muhammad Ashraf
No information about this author
et al.
Published: April 30, 2025
This
study
employs
advanced
machine
learning
algorithms
Random
Forest,
Gradient
Boosting
Machines
(GBM),
and
XGBoost
to
predict
normalized
temperatures
in
major
Pakistani
cities,
focusing
on
Lahore.
Using
a
comprehensive
dataset
divided
into
training
testing
subsets,
model
performance
was
evaluated
using
Root
Mean
Square
Error
(RMSE),
Absolute
(MAE),
R-squared
(R²).
Results
show
that
excelled
with
the
lowest
RMSE
(0.0281),
MAE
(0.0219),
highest
R²
(0.9879),
demonstrating
superior
predictive
accuracy.
Forest
also
performed
well,
confirming
efficacy
of
ensemble
methods
for
temperature
forecasting.
highlights
potential
environmental
analysis,
offering
scalable
framework
climate
predictions
informed
urban
planning.
Language: Английский
Evaluating the performances of SVR and XGBoost for Short- range Forecasting of Heatwaves across different Temperature zones of India
Srikanth Bhoopathi,
No information about this author
N. Vinay Kumar,
No information about this author
Somesh
No information about this author
et al.
Applied Computing and Geosciences,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100204 - 100204
Published: Oct. 1, 2024
Language: Английский
Spatio-Temporal Analysis of Karachi Metropolitan as an Urban Heat Island
Fizza Ejaz,
No information about this author
Anila Kausar,
No information about this author
Asad Maqsoom
No information about this author
et al.
Advances in Space Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 1, 2024
Language: Английский
Seasonal and Diurnal Characteristics and Drivers of Urban Heat Island Based on Optimal Parameters-Based Geo-Detector Model in Xinjiang, China
Han Chen,
No information about this author
Yusuyunjiang Mamitimin,
No information about this author
Abudukeyimu Abulizi
No information about this author
et al.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1377 - 1377
Published: Nov. 15, 2024
In
the
context
of
sustainable
urban
development,
elucidating
heat
island
(UHI)
dynamics
in
arid
regions
is
crucial.
By
thoroughly
examining
characteristics
UHI
variations
and
potential
driving
factors,
cities
can
implement
effective
strategies
to
reduce
their
impacts
on
environment
public
health.
However,
factors
a
remain
unclear.
This
study
analyzed
seasonal
diurnal
surface
(SUHI)
using
Pearson’s
correlation
analysis
an
Optimal
Parameters-Based
Geographic
Detector
(OPGD)
model
22
Xinjiang,
northwest
China.
The
findings
reveal
that
average
annual
intensity
(SUHII)
values
Xinjiang’s
were
1.37
±
0.86
°C,
with
SUHII
being
most
pronounced
summer
(2.44
°C),
followed
by
winter
(2.15
spring
(0.47
autumn
(0.40
°C).
Moreover,
mean
was
stronger
at
nighttime
(1.90
°C)
compared
during
daytime
(0.84
observed
across
seasons.
disparity
Xinjiang
more
significant
(3.91
(0.39
SUHIIs
decreasing
from
winter.
also
highlights
city
size,
elevation,
vegetation
cover,
form,
socio-economic
(GDP
population
density)
emerged
as
key
drivers,
GDP
exerting
strongest
influence
Xinjiang.
To
mitigate
effects,
measures
like
enhancement
improving
conditions,
blue–green
space
landscape
optimization,
economic
strategy
adjustments
are
recommended.
Language: Английский
Kentsel Isı Adası Etkisinin Mekânsal ve Zamansal Değişimlerle İlişkisi: Sistematik Bir Literatür Analizi
Journal of Anatolian Environmental and Animal Sciences,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 24, 2024
Kentsel
ısı
adası
etkisi
(KIA),
kentsel
alanlardaki
sıcaklıkların
kırsal
çevrelere
göre
artışıyla
karakterize
edilen
ve
çevresel
kalite,
insan
sağlığı
sürdürülebilirlik
üzerinde
önemli
etkileri
olan
bir
olgudur.
Bu
sistematik
literatür
incelemesi,
dünya
genelindeki
farklı
şehirlerde
etkisinin
mekânsal
zamansal
değişimleri
üzerine
yapılan
çalışmaları
incelemeyi
amaçlamaktadır.
2024
yılı
içerisinde
konu
ile
ilgili
güncel
yüksek
atıf
almış
çalışmaların
yanı
sıra
Temmuz
2024'e
kadar
Science
Direct,
Taylor&Francis,
MDPI
SpringerLink
gibi
veri
tabanlarında
arama
yapılarak
çalışmalar
incelenmiştir.
Araştırma
tabanları
üzerinden
“KIA,
adası,
yüzey
YKIA”
anahtar
kelimeleri
kullanılarak
değişimler
taranmıştır.
Tam
metinler,
atıflar
özetler
değerlendirme
için
kullanılmıştır.
Çalışmada
hakemli
incelenerek,
yoğunluğunu
etkileyen
ana
faktörler
belirlenmiştir.
Ayrıca,
araştırmalarında
kullanılan
yöntemler,
uzaktan
algılama
tekniklerinden
saha
ölçümleri
modelleme
yaklaşımlarına
ele
alınmıştır.
Bulgular,
etkilerini
azaltılmasında
bütüncül
planlama
yeşil
altyapı
uygulamalarının
önemini
vurgulamaktadır.
Hazırlanan
tabloda
kaynak/referans,
amaç
hedefler,
metodoloji
son
olarak
bulgularına
yer
verilmiştir.
kapsamlı
araştırma
sentezi,
sürdürülebilir
dirençli
çevreler
geliştirmeyi
hedefleyen
şehir
plancıları,
politika
yapıcılar
araştırmacılar
değerli
bilgiler
sunmaktadır.