Comparison of drought indices (SPI and RDI) over Mekong Delta area of Vietnam

The identification of cultural characteristics and people’s identity within a territory or area has always been of interest to people from the community, tourists and bodies of government, to which the identification of the people of Tra Vinh is not an exception. Using theories on cultural areas, cultural identity and the diversity of culture, this paper aims to take the initiative to identify the people of Tra Vinh’s identity, which was created from the cultural basis of the Mekong Delta area and in the context of the cultural diversity and differences co-existing in this region throughout history.

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Flood–drought cycle of Tonle Sap and Mekong Delta area observed by DMSP‐SSM/I

International Journal of Remote Sensing ◽

10.1080/01431160110070726 ◽

2003 ◽

Vol 24 (7) ◽

pp. 1487-1504 ◽

Cited By ~ 28

Author(s):

M. Tanaka ◽

T. Sugimura ◽

S. Tanaka ◽

N. Tamai

Keyword(s):

Mekong Delta ◽

Delta Area ◽

Tonle Sap

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Processes Causing Strong Acidic Groundwaters in and Around the Mekong Delta Area

Lecture Notes in Civil Engineering - Proceedings of the 4th Congrès International de Géotechnique - Ouvrages -Structures ◽

10.1007/978-981-10-6713-6_104 ◽

2017 ◽

pp. 1037-1043

Author(s):

Quang-Khai Ha ◽

Seunghyun Choi ◽

Kangjoo Kim

Keyword(s):

Mekong Delta ◽

Delta Area

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Temporal and spatial patterns of diarrhoea in the Mekong Delta area, Vietnam

Epidemiology and Infection ◽

10.1017/s0950268815000709 ◽

2015 ◽

Vol 143 (16) ◽

pp. 3488-3497 ◽

Cited By ~ 8

Author(s):

D. PHUNG ◽

C. HUANG ◽

S. RUTHERFORD ◽

C. CHU ◽

X. WANG ◽

...

Keyword(s):

Spatial Analysis ◽

Spatial Patterns ◽

Temporal Pattern ◽

Mekong Delta ◽

Health Impact ◽

Climatic Conditions ◽

Delta Area ◽

Temporal And Spatial Patterns ◽

Series Design ◽

Temporal And Spatial

SUMMARYThis study examined the temporal and spatial patterns of diarrhoea in relation to hydro-meteorological factors in the Mekong Delta area in Vietnam. A time-series design was applied to examine the temporal pattern of the climate–diarrhoea relationship using Poisson regression models. Spatial analysis was applied to examine the spatial clusters of diarrhoea using Global Moran'sIand local indicators of spatial autocorrelation (LISA). The temporal pattern showed that the highest peak of diarrhoea was from weeks 30–42 corresponding to August–October annually. A 1 cm increase in river water level at a lag of 1 week was associated with a small [0·07%, 95% confidence interval (CI) 0·01–0·1] increase in the diarrhoeal rate. A 1 °C increase in temperature at lag of 2 and 4 weeks was associated with a 1·5% (95% CI 0·3−2·7) and 1·1% (95% CI 0·1−2·3) increase in diarrhoeal risk, respectively. Relative humidity and diarrhoeal risk were in nonlinear relationship. The spatial analysis showed significant clustering of diarrhoea, and the LISA map shows three multi-centred diarrhoeal clusters and three single-centred clusters in the research location. The findings suggest that climatic conditions projected to be associated with climate change have important implication for human health impact in the Mekong Delta region.

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