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Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data
المؤلفون المشاركون
Yang, Siyao
Meng, Dan
Gong, Huili
Li, Xiaojuan
Wu, Xinling
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-26
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Drought is a natural disaster caused by long-term water deficit.
Because the growth of crops and vegetation is closely related to soil moisture environment, it is of great significance to study the soil drought and vegetation response.
In this paper, the soil moisture availability index (SMAI) was developed for quantifying soil drought conditions.
The effectiveness and the ability of SMAI to recognize drought events were analyzed, while the vegetation condition index (VCI) was used to characterize the vegetation status.
Temporal and spatial variations of soil drought and vegetation condition as well as the impacts of drought on vegetation in North China during 2001–2015 were comprehensively examined.
We firstly concluded that SMAI related well with standardized precipitation evapotranspiration index (SPEI), and drought events can be detected by SMAI.
Next, the mean value of SMAI in North China showed a decreasing trend in recent 15 years.
Finally, the SMAI positively correlated with VCI in most areas of North China, and the response of four types of vegetation to SMAI differed over time.
The results of SMAI on vegetation would assist drought research and application in North China.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Siyao& Meng, Dan& Gong, Huili& Li, Xiaojuan& Wu, Xinling. 2018. Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1118635
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Siyao…[et al.]. Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data. Advances in Meteorology No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1118635
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Siyao& Meng, Dan& Gong, Huili& Li, Xiaojuan& Wu, Xinling. Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1118635
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118635
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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