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未来气候和土地利用变化对中国热带地区径流的影响。

Effects of future climate and land use changes on runoff in tropical regions of China.

作者信息

Xue Shiyu, Guo Xiaohui, He Yanhu, Cai Hao, Li Jun, Zhu Lirong, Ye Changqing

机构信息

School of Ecology, Hainan University, Haikou, 570228, China.

Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China.

出版信息

Sci Rep. 2024 Dec 28;14(1):30922. doi: 10.1038/s41598-024-81754-8.

Abstract

Climate change and human activities are the primary drivers influencing changes in runoff dynamics. However, current understanding of future hydrological processes under scenarios of gradual climate change and escalating human activities remains uncertain, particularly in tropical regions affected by deforestation. Based on this, we employed the SWAT model coupled with the near future (2021-2040) and middle future (2041-2060) global climate models (GCMs) under four shared socioeconomic pathways (SSP1-2.6 (SSP1 + RCP2.6), SSP2-4.5 (SSP2 + RCP4.5), SSP3-7.0 (SSP3 + RCP7.0), and SSP5-8.5 (SSP5 + RCP8.5)) from the CMIP6 and the CA-Markov model to evaluate the runoff response to future environmental changes in the Dingan River Basin (DRB). The quantification of the impacts of climate change and land use change on future runoff changes was conducted. The results revealed a non-significant increasing trend in precipitation during the historical period (1999-2018). Furthermore, all three future scenarios (SSP1-2.6, SSP3-7.0, and SSP5-8.5) exhibited an upward trend in precipitation from 2021 to 2060. Notably, the SSP5-8.5 scenario demonstrated a highly significant increase (P < 0.01), while the SSP2-4.5 scenario displayed a non-significant decreasing trend. The future precipitation pattern exhibits a decrease during spring and winter, while showing an increase in summer and autumn. The temperature exhibited a significant increase (P < 0.05) across the four future scenarios, with amplitudes of 0.24 °C/(10 years), 0.36 °C/(10 years), 0.36 °C/(10 years), and 0.50 °C/(10 years) for SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 respectively. The future trend of land use change entails a continuous increase in cultivated land and a corresponding decrease in artificial forest land. By 2032, the area of cultivated land is projected to witness a growth of 4.10%, while artificial forest coverage will experience a decline of 4.45%. Furthermore, by 2046, the extent of cultivated land is anticipated to expand by 4.41%, accompanied by a reduction in artificial forest cover amounting to 5.39%. The average annual runoff during the historical period was 53.35 m³/s, and the Mann-Kendall (MK) trend test showed that it exhibited a non-significant increasing trend. Compared with the historical period, the comprehensive impact of climate change and land use will cause changes in the runoff by 0.49%, 1.98%, - 3.13%, and 3.65% for the scenarios of SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 in the near future, and - 3.24%, 1.30%, - 3.75% and 18.24% in the middle future respectively. The intra-annual variations in future runoff suggest an earlier peak and a more concentrated distribution of runoff during the wet season (May to October). Compared to historical periods, the total runoff in the wet season under SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios increased by 6.53%, 8.91%, 7.17%, and 7.39%, respectively. The research findings offer significant insights into the future hydrological processes in tropical regions, while also serving as a valuable reference for watershed water resource management and disaster control.

摘要

气候变化和人类活动是影响径流动态变化的主要驱动因素。然而,目前对于在气候变化逐渐加剧和人类活动不断增加的情景下未来水文过程的理解仍不明确,特别是在受森林砍伐影响的热带地区。基于此,我们采用了SWAT模型,并结合了CMIP6中四种共享社会经济路径(SSP1-2.6(SSP1 + RCP2.6)、SSP2-4.5(SSP2 + RCP4.5)、SSP3-7.0(SSP3 + RCP7.0)和SSP5-8.5(SSP5 + RCP8.5))下的近期(2021-2040年)和中期(2041-2060年)全球气候模型(GCMs)以及CA-马尔可夫模型,来评估定安河流域(DRB)未来径流对环境变化的响应。对气候变化和土地利用变化对未来径流变化的影响进行了量化。结果显示,历史时期(1999-2018年)降水量呈不显著的增加趋势。此外,所有三种未来情景(SSP1-2.6、SSP3-7.0和SSP5-8.5)在2021年至2060年期间降水量均呈上升趋势。值得注意的是,SSP5-8.5情景显示出高度显著的增加(P < 0.01),而SSP2-4.5情景则呈不显著的下降趋势。未来降水模式在春季和冬季减少,而在夏季和秋季增加。在四种未来情景下,气温均呈现出显著增加(P < 0.05),SSP1-2.6、SSP2-4.5、SSP3-7.0和SSP5-8.5情景下的增幅分别为0.24℃/(10年)、0.36℃/(10年)、0.36℃/(10年)和0.50℃/(10年)。未来土地利用变化趋势是耕地持续增加,人工林地相应减少。到2032年,预计耕地面积将增长4.10%,而人工林覆盖率将下降4.45%。此外,到2046年,耕地面积预计将扩大4.41%,同时人工林覆盖减少5.39%。历史时期年均径流量为53.35m³/s,曼-肯德尔(MK)趋势检验表明其呈不显著的增加趋势。与历史时期相比,气候变化和土地利用的综合影响将使近期SSP1-2.6、SSP2-4.5、SSP3-7.0和SSP5-8.5情景下的径流量分别变化0.49%、1.98%、-3.13%和3.65%,中期分别变化-3.24%、1.30%、-3.75%和18.24%。未来径流的年内变化表明,湿季(5月至10月)径流峰值提前且分布更为集中。与历史时期相比,SSP1-2.6、SSP2-4.5、SSP3-7.0和SSP5-8.5情景下湿季的总径流量分别增加了6.53%、8.91%、7.17%和7.39%。研究结果为热带地区未来水文过程提供了重要见解,同时也为流域水资源管理和灾害控制提供了有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/844c/11681258/641c683d33e4/41598_2024_81754_Fig1_HTML.jpg

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