scholarly journals Trend Analysis of Temperature: A Case Study of Aegean Region, Turkey

2017 ◽  
Vol 6 (7) ◽  
pp. 431-438
Keyword(s):  
Trend Analysis ◽  
Aegean Region

EVALUATING VARIOUS METHODS OF VEGETATIVE COVER CHANGE TREND ANALYSIS USING SATELLITE REMOTE SENSING PRODUCTIONS (CASE STUDY: SISTAN PLAIN IN EASTERN IRAN)

2020 ◽  
Vol 15 (1) ◽  
pp. 211-222 ◽  
Author(s):  
Fatemeh FIROOZI ◽  
◽  
Peyman MAHMOUDI ◽  
Seyed Mahdi AMIR JAHANSHAHI ◽  
Taghi TAVOUSI ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Trend Analysis ◽  
Satellite Remote Sensing ◽  
Vegetative Cover ◽  
Eastern Iran ◽  
Change Trend

Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station

2021 ◽  
Author(s):  
Zhaoliang Zeng ◽  
Zemin Wang ◽  
Minghu Ding ◽  
Xiangdong Zheng ◽  
Xiaoyu Sun ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Trend Analysis ◽  
Surface Solar Radiation ◽  
Term Trend ◽  
Zhongshan Station ◽  
Long Term Trend

Trend analysis of precipitation and drought in the Aegean region, Turkey

2017 ◽  
Vol 24 (2) ◽  
pp. 239-249 ◽  
Author(s):  
Ülker Güner Bacanli
Keyword(s):  
Trend Analysis ◽  
Aegean Region

scholarly journals Assessing potential storm tide inundation hazard under climate change: a case study of Southeast China coast

2019 ◽  
Author(s):  
Bingchuan Nie ◽  
Qingyong Wuxi ◽  
Jiachun Li ◽  
Feng Xu
Keyword(s):  
Climate Change ◽  
Tropical Cyclone ◽  
Trend Analysis ◽  
Sea Level ◽  
Coupling Effect ◽  
Storm Tide ◽  
Southeast China ◽  
China Coast ◽  
Water Elevation

Abstract. A methodology for assessing the storm tide inundation under TCI (tropical cyclone intensification) and SLR (sea level rise) is proposed, which integrates the trend analysis, numerical analysis and GIS-based analysis. In the trend analysis, the potential TCI and SLR can be estimated based on the long-term historical data of TC (tropical cyclone) and MSL (mean sea level) considering the non-stationary and spatially non-uniform effect; the numerical simulation is relied on the ADCIRC+SWAN model, which is capable of taking into account the tide-surge-wave coupling effect to improve the precision of water elevation prediction; the water elevation is then analyzed on the GIS platform, the potential inundation regions can be identified. Based on this methodology, a case study for the Southeast China coast, one of the storm surge prone areas in China, is presented. The results show that the high water elevation tends to occur in the bays and around the estuaries, the maximal water elevations caused by the typhoon wind of 100-year recurrence period can reach as high as 6.06 m, 5.82 m and 5.67 m around Aojiang, Feiyunjiang and Oujiang river estuaries, respectively. Non-stationary TCI and SLR due to climate change can further deteriorate the situation and enhance the risk of inundation there, i.e. the potential inundation area would expand by 108 % to about 798 km2 compared with the situation without considering TCI and SLR. In addition, the remotely sensed maps and inundation durations of the hardest hit regions are provided, which will aid the prevention and mitigation of storm tide inundation hazard and future coastal management there.

scholarly journals Financial development and growth in Hungary

2015 ◽  
Vol 5 (3) ◽  
pp. 205-213
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Trend Analysis ◽  
Financial Development ◽  
Case Study Approach ◽  
Study Approach ◽  
Clear Cut ◽  
Single Study ◽  
The Relationship

This study investigated the relationship between financial development and economic growth in Hungary using a case study approach. Majority of previous studies on the same or similar topic have so far used regression and or econometric methodologies to examine the nature of the relationship between financial development and economic growth. Not a single study the author is aware of used a case study approach to discuss the relationship between the two variables. It is against this background that the author decided to use the case study approach that allows the author to really deepen an understanding of the relationship between the two variables in Hungary. Apart from being narrowly focused on regression or econometric approaches, previous studies on the same or similar topic in Hungary excluded a broad range of financial development variables. The current study departs from these previous studies as it used a case study approach and taken into account a broad range of financial development variables. From the trend analysis done in section 3, it appears that the relationship between financial development and growth in Hungary during the period under study is not clear. A definite and clear cut conclusion could not be reached about the relationship between the two variables in Hungary hence the use of econometric data analysis approaches in conjuction with the case study approach is recommended.

Trend analysis of weather extremes across the coastal and non-coastal areas (case study: Turkey)

2020 ◽  
Vol 129 (1) ◽  
Author(s):  
Mohsen Abbasnia ◽  
Hüseyin Toros
Keyword(s):  
Trend Analysis ◽  
Coastal Areas ◽  
Weather Extremes
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