Suppr超能文献

通过遥感策略研究中国金华-衢州盆地年际气候变化下的植被覆盖损失和地表温度升高。

Study loss of vegetative cover and increased land surface temperature through remote sensing strategies under the inter-annual climate variability in Jinhua-Quzhou basin, China.

机构信息

College of Life Sciences, Zhejiang Normal University, Jinhua, 321004, China.

College of Chemistry and Material Science, Zhejiang Normal University, Jinhua, 321004, China.

出版信息

Environ Sci Pollut Res Int. 2024 Apr;31(20):28950-28966. doi: 10.1007/s11356-024-33112-4. Epub 2024 Apr 2.

Abstract

The Jinhua-Quzhou basin in China is one of the most susceptible areas to drought. Due to the loss of vegetation and great fluctuations in rainfall and surface temperature, global warming occurs. Timely, accurate, and effective drought monitoring is crucial for protecting local vegetation and determining which vegetation is most vulnerable to increased LST during the period 1982-2019. It assumes a strong correlation between loss of vegetation cover, changes in monsoon climate, drought, and increases in land surface temperature (LST). Due to significantly increased in LST, low precipitation and vegetation cover, NDVI, TVDI, VCI, and NAP are useful in characterizing drought mitigation strategies. The temperature vegetation drought index (TVDI), normalized difference vegetation index (NDVI), vegetation condition index (VCI), and monthly precipitation anomaly percentage (NAP) can be helped to characterize drought reduction strategies. Monthly NDVI, NAP, VCI, TVDI, normalized vegetation supply water index (NVSWI), temperature condition index (TCI), vegetation health index (VHI), and heat map analysis indicate that the Jinhua-Quzhou basin experienced drought during 1984, 1993, 2000, and 2011. Seasonal SR, WVP, WS, NDVI, VCI, and NAP charts confirm that the Jinhua-Quzhou basin was affected by severe drought in 1984, which continued and led to severe droughts in 1993, 2000, and 2011. Regression analysis showed a significant positive correlation between NDVI, TVDI, VCI, and NAP values, while NVSWI, TVDI, and VHI showed positive signs of good drought monitoring strategies. The research results confirm the correlation between loss of vegetation cover and LST, which is one of the causes of global warming. The distribution of drought changed a trend indicating that compared with the Jinhua region; the Quzhou region has more droughts. The changing trend of drought has characteristics from 1982 to 2019, and there are significant differences in drought changing trends between different Jinhua-Quzhou basin areas. Overall, from 1982 to 2019, the frequency of drought showed a downward trend. We believe that these results will provide useful tools for drought management plans and play a relevant role in mitigating the effects of drought and protecting humanity from climate hazards.

摘要

中国金华-衢州盆地是最容易遭受干旱的地区之一。由于植被损失以及降雨和地表温度的巨大波动,全球变暖发生了。及时、准确、有效地监测干旱对于保护当地植被以及确定在 1982-2019 年期间哪种植被最容易受到 LST 升高的影响至关重要。它假设植被覆盖损失、季风气候变化、干旱和陆地表面温度(LST)升高之间存在强烈的相关性。由于 LST 显著升高、降水和植被覆盖减少,归一化差异植被指数(NDVI)、地表温度植被干旱指数(TVDI)、植被状况指数(VCI)和月降水异常百分比(NAP)可用于表征干旱缓解策略。温度植被干旱指数(TVDI)、归一化差异植被指数(NDVI)、植被状况指数(VCI)和月降水异常百分比(NAP)可用于表征干旱缓解策略。每月 NDVI、NAP、VCI、TVDI、归一化植被供水指数(NVSWI)、温度状况指数(TCI)、植被健康指数(VHI)和热图分析表明,金华-衢州盆地在 1984 年、1993 年、2000 年和 2011 年经历了干旱。季节 SR、WVP、WS、NDVI、VCI 和 NAP 图表证实,金华-衢州盆地在 1984 年受到严重干旱的影响,这种情况持续存在,并导致 1993 年、2000 年和 2011 年发生严重干旱。回归分析显示,NDVI、TVDI、VCI 和 NAP 值之间存在显著的正相关关系,而 NVSWI、TVDI 和 VHI 则显示出良好的干旱监测策略的积极迹象。研究结果证实了植被覆盖损失与 LST 之间的相关性,这是全球变暖的原因之一。干旱的分布发生了变化,表明与金华地区相比,衢州地区的干旱更多。1982 年至 2019 年干旱变化趋势表明,不同金华-衢州盆地地区的干旱变化趋势存在显著差异。总体而言,1982 年至 2019 年期间,干旱频率呈下降趋势。我们相信,这些结果将为干旱管理计划提供有用的工具,并在缓解干旱影响和保护人类免受气候灾害方面发挥相关作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验