Associated Determinants of Surface Urban Heat Islands across 1449 Cities in China
المؤلفون المشاركون
Li, Yuanzheng
Wang, Lan
Liu, Min
Zhao, Guosong
He, Tian
Mao, Qizheng
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-21
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
The thermal environment is closely related to human well-being.
Determinants of surface urban heat islands (SUHIs) have been extensively studied.
Nevertheless, some research fields remain blank or have conflicting findings, which need to be further addressed.
Particularly, few studies focus on drivers of SUHIs in massive cities with different sizes under various contexts at large scales.
Using multisource data, we explored 11 determinants of surface urban heat island intensity (SUHII) for 1449 cities in different ecological contexts throughout China in 2010, adopting the Spearman and partial correlation analysis and machine learning method.
The main results were as follows: (1) Significant positive partial correlations existed between daytime SUHII and the differences in nighttime light intensity and built-up intensity between cities and their corresponding villages except in arid or semiarid western China.
The differences in the enhanced vegetation index were generally partially negatively correlated with daytime and nighttime SUHII.
The differences in white sky albedo were usually partially negatively correlated with nighttime SUHII.
The mean air temperature was partially positively correlated with nighttime SUHII in 40% of cases.
Only a few significant partial relationships existed between SUHII and urban area, total population, and differences in aerosol optical depth.
The explanation rates during daytime were larger than during nighttime in 72% of cases.
The largest and smallest rates occurred during summer days in humid cold northeastern China (63.84%) and in southern China (10.44%), respectively.
(2) Both the daytime and nighttime SUHII could be well determined by drivers using the machine learning method.
The RMSE ranged from 0.49°C to 1.54°C at a national scale.
The simulation SUHII values were always significantly correlated with the actual SUHII values.
The simulation accuracies were always higher during nighttime than daytime.
The highest accuracies occurred in central-northern China and were lowest in western China during both daytime and nighttime.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Yuanzheng& Wang, Lan& Liu, Min& Zhao, Guosong& He, Tian& Mao, Qizheng. 2019. Associated Determinants of Surface Urban Heat Islands across 1449 Cities in China. Advances in Meteorology،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1118674
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Yuanzheng…[et al.]. Associated Determinants of Surface Urban Heat Islands across 1449 Cities in China. Advances in Meteorology No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1118674
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Yuanzheng& Wang, Lan& Liu, Min& Zhao, Guosong& He, Tian& Mao, Qizheng. Associated Determinants of Surface Urban Heat Islands across 1449 Cities in China. Advances in Meteorology. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1118674
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118674
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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