Your browser doesn't support javascript.
loading
Observed and future shifts in climate zone of Borneo based on CMIP6 models.
Sa'adi, Zulfaqar; Al-Suwaiyan, Mohammad Saleh; Yaseen, Zaher Mundher; Tan, Mou Leong; Goliatt, Leonardo; Heddam, Salim; Halder, Bijay; Ahmadianfar, Iman; Homod, Raad Z; Shafik, Shafik S.
Afiliación
  • Sa'adi Z; Centre for Environmental Sustainability and Water Security (IPASA), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Sekudai, Johor, Malaysia; Department of Water & Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Unive
  • Al-Suwaiyan MS; Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia; Interdisciplinary Research Center for Construction and Building Materials, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia. Electronic address:
  • Yaseen ZM; Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia. Electronic address: z.yaseen@kfupm.edu.sa.
  • Tan ML; Geography Section, School of Humanities, Universiti Sains Malaysia, 11800, Penang, Malaysia. Electronic address: mouleong@gmail.com.
  • Goliatt L; Computational Modeling Program, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil. Electronic address: leonardo.goliatt@ufjf.br.
  • Heddam S; Faculty of Science, Agronomy Department, Hydraulics Division University, 20 Août 1955, Route El Hadaik, BP 26, Skikda, Algeria. Electronic address: s.heddam@univ-skikda.dz.
  • Halder B; Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia. Electronic address: halder06bijay@gmail.com.
  • Ahmadianfar I; Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran. Electronic address: Im.ahmadian@gmail.com.
  • Homod RZ; Department of Oil and Gas Engineering, Basrah University for Oil and Gas, Iraq. Electronic address: raadahmood@yahoo.com.
  • Shafik SS; Experimental Nuclear Radiation Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, 64001, Iraq. Electronic address: dr.shafik@alayen.edu.iq.
J Environ Manage ; 360: 121087, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38735071
ABSTRACT
Climate change has significantly altered the characteristics of climate zones, posing considerable challenges to ecosystems and biodiversity, particularly in Borneo, known for its high species density per unit area. This study aimed to classify the region into homogeneous climate groups based on long-term average behavior. The most effective parameters from the high-resolution daily gridded Princeton climate datasets spanning 65 years (1950-2014) were utilized, including rainfall, relative humidity (RH), temperatures (Tavg, Tmin, Tmax, and diurnal temperature range (DTR)), along with elevation data at 0.25° resolution. The FCM clustering method outperformed K-Mean and two Ward's hierarchical methods (WardD and WardD2) in classifying Borneo's climate zones based on multi-criteria assessment, exhibiting the lowest average distance (2.172-2.180) and the highest compromise programming index (CPI)-based correlation ranking among cluster averages across all climate parameters. Borneo's climate zones were categorized into four 'Wet and cold' (WC) and 'Wet' (W) representing wetter zones, and 'Wet and hot' (WH) and 'Dry and hot' (DH) representing hotter zones, each with clearly defined boundaries. For future projection, EC-Earth3-Veg ranked first for all climate parameters across 961 grid points, emerging as the top-performing model. The linear scaling (LS) bias-corrected EC-Earth3-Veg model, as shown in the Taylor diagram, closely replicated the observed datasets, facilitating future climate zone reclassification. Improved performance across parameters was evident based on MAE (35.8-94.6%), MSE (57.0-99.5%), NRMSE (42.7-92.1%), PBIAS (100-108%), MD (23.0-85.3%), KGE (21.1-78.1%), and VE (5.1-9.1%), with closer replication of empirical probability distribution function (PDF) curves during the validation period. In the future, Borneo's climate zones will shift notably, with WC elongating southward along the mountainous spine, W forming an enclave over the north-central mountains, WH shifting northward and shrinking inland, and DH expanding northward along the western coast. Under SSP5-8.5, WC is expected to expand by 39% and 11% for the mid- and far-future periods, respectively, while W is set to shrink by 46%. WH is projected to expand by 2% and 8% for the mid- and far-future periods, respectively. Conversely, DH is expected to expand by 43% for the far-future period but shrink by 42% for the mid-future period. This study fills a gap by redefining Borneo's climate zones based on an increased number of effective parameters and projecting future shifts, utilizing advanced clustering methods (FCM) under CMIP6 scenarios. Importantly, it contributes by ranking GCMs using RIMs and CPI across multiple climate parameters, addressing a previous gap in GCM assessment. The study's findings can facilitate cross-border collaboration by providing a shared understanding of climate dynamics and informing joint environmental management and disaster response efforts.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cambio Climático País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cambio Climático País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2024 Tipo del documento: Article