Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382629103> ?p ?o ?g. }
- W4382629103 endingPage "100570" @default.
- W4382629103 startingPage "100570" @default.
- W4382629103 abstract "The China-Pakistan Economic Corridor (CPEC) is a climate change-sensitive region, facing frequent and intense heat waves (HWs). The CPEC is expected to experience a simultaneous increase in population and temperature in the coming decades, which could exacerbate human exposure to future HWs. However, it is unknown how much of the population would likely be exposed to HWs in the CPEC under changing climate. This study used the Coupled Model Inter-comparison Project 6 (CMIP6) models and population projections to estimate population exposure to daytime, nighttime, and compound HWs in the CPEC during 2071–2100, relative to 1985–2014 under four Shared Socioeconomic Pathways (SSPs). The results indicate that the study region will probably experience the highest number of nighttime HWs, followed by daytime and compound HWs in the northern, southwestern, and southern parts of the CPEC. The largest population would likely be exposed in the eastern and southwestern CPEC under SSP3-70|SSP3, followed by SSP5-8.5|SSP5, SSP2-4.5|SSP2, and SSP1-2.6|SSP1. The results reveal that the climatic and interactive effects could significantly escalate the population exposure to future HWs in the CPEC. The probability of 2015-HWs-like events and population exposure to such extremes would probably be higher in the eastern CPEC. The return period of 2015-HW-like events would decrease, which indicates their frequent occurrence under the selected SSPs. The findings of the study highlight the need for urgent actions to limit greenhouse gas emissions and to adopt effective adaptation measures in order to avoid the negative consequences of HWs on the local population in the future." @default.
- W4382629103 created "2023-07-01" @default.
- W4382629103 creator A5003905816 @default.
- W4382629103 creator A5023468459 @default.
- W4382629103 creator A5027828162 @default.
- W4382629103 creator A5040598343 @default.
- W4382629103 creator A5046667572 @default.
- W4382629103 creator A5065964721 @default.
- W4382629103 creator A5068122324 @default.
- W4382629103 date "2023-06-01" @default.
- W4382629103 modified "2023-09-30" @default.
- W4382629103 title "Climate change will exacerbate population exposure to future heat waves in the China-Pakistan economic corridor" @default.
- W4382629103 cites W1967305531 @default.
- W4382629103 cites W1967460272 @default.
- W4382629103 cites W1971906282 @default.
- W4382629103 cites W1982518595 @default.
- W4382629103 cites W1999667422 @default.
- W4382629103 cites W2004617679 @default.
- W4382629103 cites W2019840454 @default.
- W4382629103 cites W2021021558 @default.
- W4382629103 cites W2022881056 @default.
- W4382629103 cites W2030088138 @default.
- W4382629103 cites W2040425741 @default.
- W4382629103 cites W2049377387 @default.
- W4382629103 cites W2051242586 @default.
- W4382629103 cites W2086825875 @default.
- W4382629103 cites W2097392284 @default.
- W4382629103 cites W2113917110 @default.
- W4382629103 cites W2116076356 @default.
- W4382629103 cites W2117098918 @default.
- W4382629103 cites W2139145479 @default.
- W4382629103 cites W2161062056 @default.
- W4382629103 cites W2171254377 @default.
- W4382629103 cites W2175960157 @default.
- W4382629103 cites W2268461985 @default.
- W4382629103 cites W2337225114 @default.
- W4382629103 cites W2338347138 @default.
- W4382629103 cites W2400105313 @default.
- W4382629103 cites W2410390527 @default.
- W4382629103 cites W2419535481 @default.
- W4382629103 cites W2487451717 @default.
- W4382629103 cites W2513527592 @default.
- W4382629103 cites W2534211978 @default.
- W4382629103 cites W2565057208 @default.
- W4382629103 cites W2571111911 @default.
- W4382629103 cites W2578304138 @default.
- W4382629103 cites W2586220819 @default.
- W4382629103 cites W2594038342 @default.
- W4382629103 cites W2602714802 @default.
- W4382629103 cites W2606511507 @default.
- W4382629103 cites W2607989030 @default.
- W4382629103 cites W2610130478 @default.
- W4382629103 cites W2618810193 @default.
- W4382629103 cites W2623255214 @default.
- W4382629103 cites W2626726142 @default.
- W4382629103 cites W2729777092 @default.
- W4382629103 cites W2735583327 @default.
- W4382629103 cites W2740973936 @default.
- W4382629103 cites W2749798573 @default.
- W4382629103 cites W2756236938 @default.
- W4382629103 cites W2765825213 @default.
- W4382629103 cites W2769759576 @default.
- W4382629103 cites W2775480501 @default.
- W4382629103 cites W2783856164 @default.
- W4382629103 cites W2789982843 @default.
- W4382629103 cites W2790369295 @default.
- W4382629103 cites W2794167935 @default.
- W4382629103 cites W2800299140 @default.
- W4382629103 cites W2801359147 @default.
- W4382629103 cites W2809520631 @default.
- W4382629103 cites W2824360883 @default.
- W4382629103 cites W2885129651 @default.
- W4382629103 cites W2887794444 @default.
- W4382629103 cites W2890839281 @default.
- W4382629103 cites W2895940612 @default.
- W4382629103 cites W2900373313 @default.
- W4382629103 cites W2901544482 @default.
- W4382629103 cites W2909974283 @default.
- W4382629103 cites W2911831784 @default.
- W4382629103 cites W2926093616 @default.
- W4382629103 cites W2937126484 @default.
- W4382629103 cites W2958473689 @default.
- W4382629103 cites W2969035089 @default.
- W4382629103 cites W2969232740 @default.
- W4382629103 cites W2977093199 @default.
- W4382629103 cites W2978744310 @default.
- W4382629103 cites W2980644126 @default.
- W4382629103 cites W3012943177 @default.
- W4382629103 cites W3014125413 @default.
- W4382629103 cites W3016667131 @default.
- W4382629103 cites W3023516657 @default.
- W4382629103 cites W3034823704 @default.
- W4382629103 cites W3037114145 @default.
- W4382629103 cites W3038976619 @default.
- W4382629103 cites W3040020898 @default.
- W4382629103 cites W3047843253 @default.
- W4382629103 cites W3049080179 @default.
- W4382629103 cites W3082507824 @default.