Long-term trend analysis of extreme climate in Sarawak tropical peatland under the influence of climate change

被引:23
作者
Saadi, Zulfaqar [1 ]
Yaseen, Zaher Mundher [2 ,3 ]
Farooque, Aitazaz Ahsan [4 ,5 ]
Mohamad, Nur Athirah [6 ]
Muhammad, Mohd Khairul Idlan [6 ]
Iqbal, Zafar [7 ,8 ]
机构
[1] Univ Teknol Malaysia, Fac Engn, Ctr Environm Sustainabil & Water Secur IPASA, Sch Civil Engn, Sekudai 81310, Johor, Malaysia
[2] King Fahd Univ Petr & Minerals, Civil & Environm Engn Dept, Dhahran 31261, Saudi Arabia
[3] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Membranes & Water Secur, Dhahran 31261, Saudi Arabia
[4] Univ Prince Edward Isl, Canadian Ctr Climate Change & Adaptat, St Peters Bay, PE, Canada
[5] Univ Prince Edward Isl, Fac Sustainable Design Engn, Charlottetown, PE C1A4P3, Canada
[6] Univ Teknol Malaysia UTM, Fac Civil Engn, Dept Water & Environm Engn, Johor Baharu 81310, Malaysia
[7] Natl Univ Sci & Technol NUST, NUST Inst Civil Engn SCEE, H-12, Islamabad 44000, Pakistan
[8] Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, Thi Qar 64001, Iraq
关键词
Climate extremes; Mann-Kendall test; Modified Mann-Kendall test; Sarawak; Tropical peatland; TIME-SERIES; RIVER-BASIN; SOUTHEAST-ASIA; DAILY RAINFALL; DRY PERIODS; TEMPERATURE; PRECIPITATION; AUTOCORRELATION; INDEXES; VARIABILITY;
D O I
10.1016/j.wace.2023.100554
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Extreme climate is one of the important variables which determine the capability of tropical peatland to act as either carbon sink and/or carbon source. The purpose of this study is to reveal the spatio-temporal trend in the long-term time series of extreme rainfall and temperature in Sarawak peatland cause by climate change. Gridded-based Princeton datasets were used for trend analysis spanning 68-year (1948-2016) based on Modified Mann -Kendall (m-MK) test which has the capability of distinguishing unidirectional trend with multi-scale variability. The m-MK test was also used to confirm the increasing or decreasing trend produce by Mann-Kendall (MK), and to discriminate the exaggeration in trend caused by serial auto-correlation due to the high effect of large scale climate events regulating the climate in the region. By using R-based program, RClimDex for extreme climate indices output, extreme climate under Northeast (NE) and Southwest (SW) monsoon showed lower grid point with significant changes under m-MK test compared to MK test at 95% significance level. Here, the exaggeration of trend by MK test has been reduced by using m-MK test which can accommodate the scaling effect in the time series due to inherent natural climate variability. Diurnal temperature range (DTR) was expected to decrease for both monsoons in the central-coastal region as minimum temperature (TN) increased more than maximum temperature (TX). Significant increase in extreme rainfall (R10, R20, Rnn) was spatially observed more during SW monsoon compared to NE monsoon, although with high spatial variability. Significant increase of TN indices of TNn and TN90p might cause increased rainfall intensity in the south and central-coastal region, while high TX indices of TXn might cause increased rainfall intensity in the north. Due to the imminent threat of climate change, this study gives scientists an essential view on the behavior of different extreme climate variables and its potential impact on the peatland area which is susceptible to flood and risk of fire during the NE and SW monsoon, respectively.
引用
收藏
页数:15
相关论文
共 140 条
[1]   Homogenising meteorological variables: Impact on trends and associated climate indices [J].
Adeyeri, O. E. ;
Laux, P. ;
Ishola, K. A. ;
Zhou, W. ;
Balogun, I. A. ;
Adeyewa, Z. D. ;
Kunstmann, H. .
JOURNAL OF HYDROLOGY, 2022, 607
[2]   Assessment of spatial variations in temperature and precipitation extremes in west-flowing river basin of Kutch, Saurashtra and Marwar, India [J].
Agnihotri, Ila ;
Punia, M. P. ;
Sharma, J. R. .
CURRENT SCIENCE, 2018, 114 (02) :322-328
[3]   Evaluating the variability in long-term rainfall over India with advanced statistical techniques [J].
Ahmed, Ishita Afreen ;
Salam, Roquia ;
Naikoo, Mohd Waseem ;
Rahman, Atiqur ;
Praveen, Bushra ;
Pham Ngoc Hoai ;
Quoc Bao Pham ;
Duong Tran Anh ;
Doan Quang Tri ;
Elkhrachy, Ismail .
ACTA GEOPHYSICA, 2022, 70 (02) :801-818
[4]   Evaluating severity-area-frequency (SAF) of seasonal droughts in Bangladesh under climate change scenarios [J].
Alamgir, Mahiuddin ;
Khan, Najeebullah ;
Shahid, Shamsuddin ;
Yaseen, Zaher Mundher ;
Dewan, Ashraf ;
Hassan, Quazi ;
Rasheed, Balach .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 34 (02) :447-464
[5]   Bioclimatic variables from precipitation and temperature records vs. remote sensing-based bioclimatic variables: Which side can perform better in species distribution modeling? [J].
Amiri, Mohadeseh ;
Tarkesh, Mostafa ;
Jafari, Reza ;
Jetschke, Gottfried .
ECOLOGICAL INFORMATICS, 2020, 57
[6]   Evaluation of daily gridded meteorological datasets for hydrological modeling in data-sparse basins of the largest lake in Southeast Asia [J].
Ang, Raksmey ;
Kinouchi, Tsuyoshi ;
Zhao, Wenpeng .
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2022, 42
[7]  
[Anonymous], 2011, RMAWGEN MULTISITE AU
[8]   The Definition of the Standard WMO Climate Normal The Key to Deriving Alternative Climate Normals [J].
Arguez, Anthony ;
Vose, Russell S. .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (06) :699-U345
[9]   Trends in Extreme Rainfall Frequency in the Contiguous United States: Attribution to Climate Change and Climate Variability Modes [J].
Armal, Saman ;
Devineni, Naresh ;
Khanbilvardi, Reza .
JOURNAL OF CLIMATE, 2018, 31 (01) :369-385
[10]   Variability and time series trend analysis of rainfall and temperature in northcentral Ethiopia: A case study in Woleka sub-basin [J].
Asfaw, Amogne ;
Simane, Belay ;
Hassen, Ali ;
Bantider, Amare .
WEATHER AND CLIMATE EXTREMES, 2018, 19 :29-41