Projection of precipitation extremes over South Asia from CMIP6 GCMs

Journal of Arid Land, Год журнала: 2023, Номер 15(3), С. 274 - 296

Опубликована: Март 1, 2023

Язык: Английский

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Development of a new integrated flood resilience model using machine learning with GIS-based multi-criteria decision analysis

Urban Climate, Год журнала: 2023, Номер 50, С. 101589 - 101589

Опубликована: Июнь 26, 2023

Язык: Английский

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Climate change will exacerbate population exposure to future heat waves in the China-Pakistan economic corridor

Weather and Climate Extremes, Год журнала: 2023, Номер 40, С. 100570 - 100570

Опубликована: Май 11, 2023

The China-Pakistan Economic Corridor (CPEC) is a climate change-sensitive region, facing frequent and intense heat waves (HWs). CPEC expected to experience simultaneous increase in population temperature the coming decades, which could exacerbate human exposure future HWs. However, it unknown how much of would likely be exposed HWs under changing climate. This study used Coupled Model Inter-comparison Project 6 (CMIP6) models projections estimate daytime, nighttime, compound during 2071–2100, relative 1985–2014 four Shared Socioeconomic Pathways (SSPs). results indicate that region will probably highest number nighttime HWs, followed by daytime northern, southwestern, southern parts CPEC. largest eastern southwestern SSP3-70|SSP3, SSP5-8.5|SSP5, SSP2-4.5|SSP2, SSP1-2.6|SSP1. reveal climatic interactive effects significantly escalate probability 2015-HWs-like events such extremes higher return period 2015-HW-like decrease, indicates their occurrence selected SSPs. findings highlight need for urgent actions limit greenhouse gas emissions adopt effective adaptation measures order avoid negative consequences on local future.

Язык: Английский

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Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan

Atmosphere, Год журнала: 2023, Номер 14(5), С. 871 - 871

Опубликована: Май 15, 2023

The effects of climate change are unparalleled in magnitude, ranging from changing weather patterns that endanger food production to increasing sea levels increase the likelihood catastrophic flooding. Therefore, determining extent such variations on regional and local scales is imperative. We used monthly precipitation data 25 meteorological stations northern Pakistan (NP) document observed changes seasonal annual precipitation. station density NP small unevenly distributed; therefore, ERA-5 reanalysis were supplement dataset assess spatial trends NP. non-parametric Mann–Kendall (MK), Sen’s Slope estimator (SSE), Sequential (SQMK) tests performed trends. In addition, wavelet analysis technique was determine association with various oceanic indices 1960 2016. Results indicate maximum shown summer seasons. NP, annual, winter, spring, declined, while an autumn at a rate 0.43 mm/decade between 1989 for datasets almost similar autumn; however, some disagreement both during 1960–2016. Between 2016, increased significantly Region III. However, decreased Moreover, there no prominent until mid-1980s, but apparent 1985 onwards. Annual all elevations except 500–1000 m zone. ENSO (El Niño–Southern Oscillation) shared notable interannual coherences among above 16–64 months. Inter-decadal coherence ENSO, AO (Arctic Oscillation), PDO (Pacific Decadal 128 months above. Generally, AO, AMO (Atlantic Multidecadal NAO (North Atlantic exhibited less regression revealed winter spring had higher linear respectively, also dominated scale. Similarly, IOD influence findings may help water resource managers researchers develop contingency plan better management policies face Pakistan, particularly

Язык: Английский

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Flood vulnerability assessment in the flood prone area of Khyber Pakhtunkhwa, Pakistan

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Янв. 19, 2024

Floods are among the most destructive natural disasters, causing extensive damage to human lives, property, and environment. Pakistan is susceptible calamities, such as floods, resulting in millions of people being impacted yearly. It has been demonstrated that flood severity rising may continue escalate coming years because climate change-induced changes monsoon precipitation country. Given country’s exposure flooding, it essential assess vulnerability floods prepare for mitigate their impact Pakistan. This study provides a new conceptual framework assessing risk Charsadda, flood-prone district evaluates settlements based on four indicators: population density, average gross domestic product (GDP) land, distance between rivers, land use cover (LULC). The analytical hierarchy process (AHP) technique was integrated with geographical information system (GIS) level area. results reveal higher degree region. spatial pattern vulnerable areas reveals significant connection high-risk densely populated during different seasons. further more than 60% area arable highly flood. land-use setup show high extremely values normalized threshold 0.3–0.4, respectively. an in-depth comprehensive analysis chosen indicators, evaluation methods, results, making this valuable contribution field assessment. findings also include thematic maps related stakeholders effective management

Язык: Английский

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Comparison and evaluation of the performance of reanalysis datasets for compound extreme temperature and precipitation events in the Qilian Mountains

Atmospheric Research, Год журнала: 2024, Номер 304, С. 107375 - 107375

Опубликована: Март 26, 2024

Язык: Английский

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Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan

Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123094 - 123094

Опубликована: Ноя. 2, 2024

Язык: Английский

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Are longer and more intense heatwaves more prone to extreme precipitation?

Global and Planetary Change, Год журнала: 2024, Номер 236, С. 104428 - 104428

Опубликована: Март 26, 2024

Язык: Английский

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Disaster analysis and lessons learned from the July 22, 2024, Ethiopian landslide

Earthquake research advances, Год журнала: 2025, Номер unknown, С. 100358 - 100358

Опубликована: Янв. 1, 2025

Язык: Английский

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Future climatic risks faced by the Beautiful China Initiative: A perspective for 2035 and 2050

Advances in Climate Change Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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