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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.
Ali, Shahzad; Basit, Abdul; Ali, Sajid; Umair, Muhammad; Makanda, Tyan Alice; Shaik, Mohammed Rafi; Khan, Mujeeb.
Afiliação
  • Ali S; College of Life Sciences, Zhejiang Normal University, Jinhua, 321004, China. alis88@zjnu.edu.cn.
  • Basit A; College of Chemistry and Material Science, Zhejiang Normal University, Jinhua, 321004, China. alis88@zjnu.edu.cn.
  • Ali S; School of Computer Science and Technology, Qingdao University, Qingdao, China.
  • Umair M; Department of Agriculture, Hazara University, Mansehra, 21120, Pakistan.
  • Makanda TA; College of Life Sciences, Zhejiang Normal University, Jinhua, 321004, China.
  • Shaik MR; College of Life Sciences, Zhejiang Normal University, Jinhua, 321004, China.
  • Khan M; Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Environ Sci Pollut Res Int ; 31(20): 28950-28966, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38564132
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Temperatura / Monitoramento Ambiental / Tecnologia de Sensoriamento Remoto País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Temperatura / Monitoramento Ambiental / Tecnologia de Sensoriamento Remoto País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article