Spatiotemporal variations of aridity index over the Belt and Road region under the 1.5°C and 2.0°C warming scenarios
Tóm tắt
Aridity index reflects the exchanges of energy and water between the land surface and the atmosphere, and its variation can be used to forecast drought and flood patterns, which makes it of great significance for agricultural production. The ratio of potential evapotranspiration and precipitation is applied to analyse the spatial and temporal distributions of the aridity index in the Belt and Road region under the 1.5°C and 2.0°C global warming scenarios on the basis of outputs from four downscaled global climate models. The results show that: (1) Under the 1.5°C warming scenario, the area-averaged aridity index will be similar to that in 1986–2005 (around 1.58), but the changes vary spatially. The aridity index will increase by more than 5% in Central-Eastern Europe, north of West Asia, the monsoon region of East Asia and northwest of Southeast Asia, while it is projected to decrease obviously in the southeast of West Asia. Regarding the seasonal scale, spring and winter will be more arid in South Asia, and the monsoon region of East Asia will be slightly drier in summer compared with the reference period. While, West Asia will be wetter in all seasons, except winter. (2) Relative to 1986–2005, both areal averaged annual potential evapotranspiration and precipitation are projected to increase, and the spatial variation of aridity index will become more obvious as well at the 2.0°C warming level. Although the aridity index over the entire region will be maintained at approximately 1.57 as that in 1.5°C, the index in Central- Eastern Europe, north of West Asia and Central Asia will grow rapidly at a rate of more than 20%, while that in West Siberia, northwest of China, the southern part of South Asia and West Asia will show a declining trend. At the seasonal scale, the increase of the aridity index in Central-Eastern Europe, Central Asia, West Asia, South Asia and the northern part of Siberia in winter will be obvious, and the monsoon region in East Asia will be drier in both summer and autumn. (3) Under the scenario of an additional 0.5°C increase in global temperature from 1.5°C to 2.0°C, the aridity index will increase significantly in Central Asia and north of West Asia but decrease in Southeast Asia and Central Siberia. Seasonally, the aridity index in the Belt and Road region will slightly increase in all other seasons except spring. Central Asia will become drier annually at a rate of more than 20%. The aridity index in South Asia will increase in spring and winter, and that in East Asia will increase in autumn and winter. (4) To changes of the aridity index, the attribution of precipitation and potential evapotranspiration will vary regionally. Precipitation will be the major influencing factor over southern West Asia, southern South Asia, Central-Eastern Siberia, the non-monsoon region of East Asia and the border between West Asia and Central Asia, while potential evapotranspiration will exert greater effects over Central-Eastern Europe, West Siberia, Central Asia and the monsoon region of East Asia.
Tài liệu tham khảo
Allen R G, 1998. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation & Drainage Paper, 56.
Arora V K, 2002. The use of the aridity index to assess climate change effect on annual runoff. Journal of Hydrology, 265(1): 164–177.
Botzan T, Mariano M, Necula A, 1998. Modified De Martonne aridity index: Application to the Napa Basin, California. Physical Geography, 19(1): 55–70.
Brutsaert W, Parlange M B, 1998. Hydrologic cycle explains the evaporation paradox. Nature, 396(6706): 30.
Chen J, Gao C, Zeng X et al., 2017. Assessing changes of river discharge under global warming of 1.5°C and 2°Cin the upper reaches of the Yangtze River Basin: Approach by using multiple-GCMs and hydrological models. Quaternary International, 453: 63–73.
Chen X, Mo X, Hu S et al., 2017. Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014. Journal of Geographical Sciences, 27(6): 661–680.
Cheng J W, Zhang Y X, 1996. Discussion on relation between humidity index and aridity degree. Journal of Desert Research, 16(1): 79–82.
Cong Z T, Ni G H, Yang D W et al., 2008. Evaporation paradox in China. Advances in Water Science, 19(2): 147–152. (in Chinese)
Cui Y P, Xiao D P, Liu S J et al., 2018. Growth periods variation of summer maize and winter wheat and their correlations with hydrothermal conditions in recent years in China. Chinese Journal of Eco-Agriculture, 26(3): 388–396. (in Chinese)
Djaman K, Komla G, 2015. Trend analysis in reference evapotranspiration and aridity index in the context of climate change in Togo. Journal of Water & Climate Change, 6(4): 848–864.
Feng, S, Fu, Q, 2013. Expansion of global drylands under a warming climate. Atmospheric Chemistry and Physics, 13(19): 10081–10094.
Frieler K, Lange S, Piontek F et al., 2017. Assessing the impacts of 1.5°C global warming: Simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development Discussions, 10(12): 1–59.
Fu Q, Feng S, 2014. Responses of terrestrial aridity to global warming. Journal of Geophysical Research Atmospheres, 119(13): 7863–7875.
Hao Z R, Guo W, He J Y et al., 2014. The variation tendency of surface aridity index of Shanxi province in recent 50 years. Agricultural Research in Arid Areas, 32(6): 244–249. (in Chinese)
Harris I, Jones P D, Osborn T J et al., 2014. Updated high-resolution grids of monthly climatic observations: The CRU TS3.10 Dataset. International Journal of Climatology, 34(3): 623–642.
Hempel S, Frieler K, Warszawski L et al., 2013. A trend-preserving bias correction: The ISI-MIP approach. Earth System Dynamics, 4(2): 219–236.
Huang H P, Han Y P, Cao M M et al., 2016. Spatial-temporal variation of aridity index of China during 1960–2013. Advances in Meteorology, 31(9): 1488–1498.
Huang J L, Wang Y J, Fischer T et al., 2017. Simulation and projection of climatic changes in the Indus River Basin, using the regional climate model COSMO-CLM. International Journal of Climatology, 37(5): 2545–2562.
Huntington T G, 2006. Evidence for intensification of the global water cycle: Review and synthesis. Journal of Hydrology, 319(1): 83–95.
IPCC, 2013. Climate Change 2013: The Physical Science Basis. IPCC Working Group 1 Contribution to AR5. Cambridge. UK, New York, USA: Cambridge University Press.
IPCC, 2014. Climate Change 2014: Synthesis Report, in: Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC Geneva, Switzerland, 151.
Jiang T, Wang Y J, Yuan J S et al., 2018. Projection of population and economy in “the Belt and Road” countries (2020‒2060). Climate Change Research, 14(2): 155–164. (in Chinese)
Li F P, Zhang G X, Dong L Q et al., 2013. Studies for impact of climate change on hydrology and water resources. Scientia Geographica Sinica, 33(4): 457–464. (in Chinese)
Lin L, Gettelman A, Feng S et al., 2015. Simulated climatology and evolution of aridity in the 21st century. Journal of Geophysical Research Atmospheres, 120(12): 5795–5815.
Liu F X, Wang Y J, Zhao J et al., 2017. Variations of the extreme precipitation under the global warning of 1.5°C and 2.0°C in the mid-lower reaches of the Yangtze River Basin. Resources and Environment in the Yangtze Basin, 26(5): 778–788. (in Chinese)
Liu W D, Song Z Y, Liu Z G et al., 2018. Progress in research on the Belt and Road Initiative. Acta Geographica Sinica, 73(4): 620–636. (in Chinese)
Liu X M, Zhang D, Luo Y Z et al., 2013. Spatial and temporal changes in aridity index in northwest China: 1960 to 2010. Theoretical & Applied Climatology, 112(1/2): 307–316.
Lu M, Chen Y, Lu Y Q et al., 2018. The spatial balance pattern between land and sea transport in Europe-Asia under the Belt and Road Initiative. Acta Geographica Sinica, 73(8): 1526–1539. (in Chinese)
Meng M, Ni J, Zhang Z G, 2004. Aridity index and its applications in geo-ecological study. Acta Phytoecologica Sinica, 28(6): 853–861. (in Chinese)
Nastos P T, Politi N, Kapsomenakis J, 2013. Spatial and temporal variability of the Aridity Index in Greece. Atmospheric Research, 119(1): 140–152.
Oki T, Kanae S, 2006. Global hydrological cycles and world water resources. Science, 313(5790): 1068–1072.
Peterson T C, Golubev V S, Groisman P Y, 1995. Evaporation losing its strength. Nature, 377(6551): 687–688.
Ponce V M, Pandey R P, Ercan S, 2000. Characterization of drought across climatic spectrum. Journal of Hydrologic Engineering, 5(2): 222–224.
Roderick M L, Rotstayn L D, Farquhar G D et al., 2007. On the attribution of changing pan evaporation. Geophysical Research Letters, 34: 251–270.
Schilling J, Vivekananda J, Nisha P et al., 2013. Vulnerability to environmental risks and effects on community resilience in mid-west Nepal and South-East Pakistan. Environment & Natural Resources Research, 3(4): 1–19.
Schleussner C F, Lissner T K, Fischer E M et al., 2016. Differential climate impacts for policy-relevant limits to global warming: The case of 1.5°C and 2°C. Earth System Dynamics, 6(2): 2447–2505.
Su B D, Huang J L, Gemmer M et al., 2016. Statistical downscaling of CMIP5 multi-model ensemble for projected changes of climate in the Indus River Basin. Atmospheric Research, 178/179: 138–149.
Su B D, Jian D N, Li X C et al., 2017. Projection of actual evapotranspiration using the COSMO-CLM regional climate model under global warming scenarios of 1.5°C and 2.0°C in the Tarim River Basin, China. Atmospheric Research, 196(11): 119–128.
Sun H M, Wang Y J, Chen J et al., 2017. Exposure of population to droughts in the Haihe River Basin under global warming of 1.5 and 2.0°C scenarios. Quaternary International, 453(9): 74–84.
Tabari H, Aghajanloo M B, 2013. Temporal pattern of aridity index in Iran with considering precipitation and evapotranspiration trends. International Journal of Climatology, 33(2): 396–409.
Türkeş M, 2003. Spatial and temporal variations in precipitation and aridity index series of Turkey. Mediterranean Climate–Variability and Trends, 181–213.
Wang A Q, Su B D, Wang Y J et al., 2017. Variation of the extreme minimum temperature events and farmland exposure under global warming of 1.5°C and 2.0°C. Acta Meteorologica Sinica, 75(3): 415–428. (in Chinese)
Wang F, Ding J L, Wei Y, 2017. Analysis of drought characteristics over countries and regions of “The Belt and Road” in recent one hundred years. Journal of Geo-information Science, 19(11): 1442–1455. (in Chinese)
Wang L P, Wen M, Song J X et al., 2016. Spatial-temporal variation of aridity index during 1961–2014 in China. Journal of Natural Resources, 31(9): 1488–1498. (in Chinese)
Warszawski L, Frieler K, Huber V et al., 2014. The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): Project framework. Proceedings of the National Academy of Sciences of the United States of America, 111(9): 3228–3232.
Yin Y H, Wu S H, Zheng D et al., 2005. Regional difference of aridity/humidity conditions changeover China during the last thirty years. Chinese Science Bulletin, 50(19): 2226–2233.
Zhang H L, Zhang Q, Liu Q et al., 2016. Analysis on variation characteristics and differences of the Climate drying degree between South and North of China. Plateau Meteorology, 35(5): 1339–1351. (in Chinese)
Zheng J Y, Bian J J, Ge Q S, 2013. The climate regionalization in China for 1981–2010. Chinese Science Bulletin, 58(30): 3088–3099.
Zheng J Y, Yin Y, Li B Y, 2010. A new scheme for climate regionalization in China. Acta Geographica Sinica, 65(1): 3–12. (in Chinese)