3rd International Civil Engineering and Architecture Conference (ICEARC'23), Trabzon, Türkiye, 12 - 14 Ekim 2023, ss.597-605
Purpose: To
determine high and low group and monotonic trends of monthly total
precipitation in Bursa Province, which has one of the densest populations in
Türkiye under a pessimistic socio-economic scenario, SSP5-8.5, to examine
intra-term changes offering an opportunity to research the details of climate
change as well as to study the future changes according to observations.
Study
design/methodology/approach: 14 general circulation models (GCMs)
from the CMIP6 archive were utilized as input variables for pre-established the
multivariate adaptive regression splines as a statistical downscaling model in
the Bursa station. This was carried out to generate daily total precipitation
for two specific time terms: the near past (1979-2014) and the near future
(2030-2059) under the SSP5-8.5. A subset of four high-performance GCMs was
selected, and multi-model averages of precipitation were computed to mitigate
uncertainties arising from GCMs. Daily totals were converted to monthly totals
after correction for possible biases. Intra-term trends were analysed using the
innovative trend significance test (ITST) for monotonic trends and improved
visualization of innovative trend analysis (IV-ITA) for high and low group
trends.
Findings: Total
monthly precipitation is projected to decrease by 10 mm (14%) in the near
future compared to the near past, with the highest decrease (~24%) in December.
According to the ITST results, there is an increasing trend in Feb, Jun, Aug,
Sep, and Oct during the near past term, while a decreasing trend is projected
in the near future and vice versa for Jan and Nov. To the IV-ITA
results, while an increasing trend is observed in the range of 11-300%[P1]
(28-84%) of low (high) values in Jan, Feb, Aug, and Sep (Feb, Jun, Aug, Sep,
and Oct) during the near past term, a decreasing trend is predicted in the
range of 34-100% (28-61%) in the near future. However, different direction
trends emerged for low and high values in Jan, Jun, and Dec, both in the near past
and the near future terms.
Originality/value: In
this study, in addition to comparing future and past monthly precipitation,
trend changes in high and low groups were analysed with innovative methods.
[P1]Bu 300 rakamı çok büyük geliyor. Değerler o aylarda çok küçük olduğu
için bu yüzdeler çıkıyor. Burada genellikle şu aralıkta değişmektedir gibi
verip uç değerleri çıkarsak iyi olur. Metinde yüksek değerleri anlatabiliriz.
Zaten grafiklerini de çizmişsin.