Organic chlorine and chloride in submerged paddy soil: a case study in Anhui province, southeast China

2004 ◽  
Vol 20 (2) ◽  
pp. 144-149 ◽  
Author(s):  
G. Öberg ◽  
E. Johansson ◽  
Zhang Björn Xin ◽  
Hu Zhengyi ◽  
P. Sandén ◽  
...  
Keyword(s):  
Paddy Soil ◽  
Anhui Province ◽  
Southeast China ◽  
Organic Chlorine

Organic chlorine and chloride in submerged paddy soil: a case study in Anhui province, southeast China

2006 ◽  
Vol 20 (2) ◽  
pp. 144-149 ◽  
Author(s):  
E. Johansson ◽  
Zhang Björn Xin ◽  
Hu Zhengyi ◽  
P. Sandén ◽  
G. Öberg
Keyword(s):  
Paddy Soil ◽  
Anhui Province ◽  
Southeast China ◽  
Organic Chlorine

Levoglucosan and carbonaceous species in the background aerosol of coastal southeast China: case study on transport of biomass burning smoke from the Philippines

2011 ◽  
Vol 19 (1) ◽  
pp. 244-255 ◽  
Author(s):  
Yi-Nan Zhang ◽  
Zhi-Sheng Zhang ◽  
Chuen-Yu Chan ◽  
Guenter Engling ◽  
Xue-Fang Sang ◽  
...  
Keyword(s):  
Biomass Burning ◽  
The Philippines ◽  
Southeast China ◽  
Carbonaceous Species

A Model for Evaluating the Stabilization of the Taxi Industry: A Case Study in Anhui Province

ICTE 2011 ◽  
2011 ◽  
Author(s):  
Xiaohang Bai ◽  
Qiaojun Xiang ◽  
Changfei Luan
Keyword(s):  
Anhui Province ◽  
Taxi Industry

Land rental market, off-farm employment and agricultural production in Southeast China: A plot-level case study

2010 ◽  
Vol 21 (4) ◽  
pp. 598-606 ◽  
Author(s):  
Shuyi Feng ◽  
Nico Heerink ◽  
Ruerd Ruben ◽  
Futian Qu
Keyword(s):  
Agricultural Production ◽  
Southeast China ◽  
Rental Market ◽  
Land Rental

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.

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