Intentional cranial modification as a marker of identity in Paracas Cavernas, South-Central Coast of Peru

2022 ◽  
Vol 41 ◽  
pp. 103264
Author(s):  
Juliana Gómez-Mejía ◽  
Delia Aponte ◽  
Luis Pezo-Lanfranco ◽  
Sabine Eggers
2021 ◽  
Vol 14 (11) ◽  
pp. 13-24
Author(s):  
Anh Tu Ngo ◽  
Stéphane Grivel ◽  
Thai Le Phan ◽  
Huu Xuan Nguyen ◽  
Trong Doi Nguyen

The research focuses on using Sentinel-2 that can be integrated with the Digital Shoreline Analysis System (DSAS) as an effective tool for the determination of changes in the riverbanks and using linear regression to predict shoreline changes. The research applied the assessment of shoreline changes in the period of 2015- 2020 and forecast to 2025 in Laigiang river of the South Central Coast region of Vietnam. Based on the DSAS tool, parameters such as Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR) and Linear Regression Rate (LRR) were determined. The analysis results show that the accretion process in the Laigiang river in the period of 2015-2020 with the accretion area ranges from 81.47 ha. Meanwhile, the area of shoreline erosion only fluctuates around 54.42 ha. The rhythm of evolution is a determinant element for this transitional system.


2020 ◽  
Vol 10 (20) ◽  
pp. 7142
Author(s):  
Huu Xuan Nguyen ◽  
An Thinh Nguyen ◽  
Anh Tu Ngo ◽  
Van Tho Phan ◽  
Trong Doi Nguyen ◽  
...  

Flood hazards affect the local economy and the livelihood of residents along the South-Central Coast of Vietnam. Understanding the factors influencing floods’ occurrence potentially contributes to establish mitigation responses to the hazards. This paper deals with an empirical study on applying a combination of the fuzzy analytic hierarchy process (AHP), the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), and a geographic information system (GIS) to assess flood hazards along the South-Central Coast of Vietnam. Data are collected from focus group discussions (FGDs) with five communal authorities; a questionnaire completed by eight hamlet heads in the Phuoc Thang commune (Binh Dinh province); and documents, reports, and thematic maps provided from official sources. A total of 12 maps of flood factors are prepared. The results show that terrain elevation, creek-bottom terrains, high tide-induced flooding area, and distance to water body are the main factors affecting flood hazards. The An Loi hamlet faces the highest risk for floods, followed by Lac Dien, Luong Binh, and Pho Dong. The map of flood hazards indicates the western part is assessed as low hazard, whereas the eastern part is a very high hazard area. The study findings show that the hybrid approach using GIS-based fuzzy AHP–TOPSIS allows connecting decision makers with the influencing factors of flooding. To mitigate floods, both the Vietnam national government and the Binh Dinh provincial government should integrate natural hazard mitigation into socio-economic development policies.


1991 ◽  
Vol 30 (5) ◽  
pp. 511-533 ◽  
Author(s):  
Steven R. Hanna ◽  
David G. Strimaitis ◽  
Joseph S. Scire ◽  
Gary E. Moore ◽  
Robert C. Kessler

Author(s):  
Nguyen Duy Doai

The Ca Ong (whale) belief is one of the folk beliefs in Vietnam. The Ca Ong belief followed by the inhabitants of the Ly Son island district not only reflects their spiritual needs, but also educates people in the value of gratefulness. Thus, at the temple, the practitioners of the Ca Ong belief often hang many horizontal lacquered boards (hoành phi) with parallel sentences in the main hall, with the purpose of explicating the aforementioned values. This belief also reflects the aspirations of the island inhabitants, who wish to have their lives blessed with happiness by the god. Particularly, this paper explores the divergence of the Ca Ong belief that can be found in this island. Namely, this belief is not only worshipped at the temple by the community, but also privately within the Dang family, where they worship Ca Ong as a god. This is something never happening in other regions such as the South Central coast or the South of Vietnam. Furthermore, this paper focuses on the change of the title system within this belief. Whereas titles were previously bestowed by the Nguyen dynasty, family titles in the Ly Son Island are bestowed by the Shaman.


Author(s):  
Nachiketa Acharya ◽  
Elva Bennett

Owing to its unique position within multiple monsoon regimes, latitudinal extent, and complex topography, Vietnam is divided into seven agroclimatic zones, each with distinct rainy season characteristics. Variation in the dominant rainfall system across zones affects the rainfall climatology, the primary water resource for regional crops. This study explores the creation of an agronomic rainy season onset based on high-resolution rainfall data for each agroclimatic zone for applications in an agricultural context. Onset information has huge practical importance for both agriculture and the economy. The spatiotemporal characteristics of zonal onset date are analyzed using integrated approaches of spatial and interannual variability, temporal changes, and estimation of predictability using teleconnection with Niño 3.4 sea surface temperature anomalies (SSTA) for 1980 to 2010. Results suggest that northern and southern zones experience regional onset dates in May, while the central zones experience rainy season onset in late August. The regional variability of rainy season onset is lower in a single dominant monsoon regime (northern and southern zones) and higher in latitudinally extended zones on the border of monsoon regimes (central zones). The interannual variation in rainy season onset date is found to be approximately 2 weeks across all agroclimatic zones. The significant negative trend in rainy season onset date is found for Central Coast and South Central Coast zones, suggesting that the onset date shifted earlier for the entire period. In the decadal scale, the zonal mean onset date shifted later in the Northwest and earlier in the Central Highlands. Out of the seven climate zones, a significant positive correlation is only noticed in the Central Highlands and South zones between zonal mean onset date and Niño 3.4 SSTA for Dec-Jan-Feb, suggesting the potential of seasonal scale predictability of rainy season onset date with respect to preceding El Niño-Southern Oscillation (ENSO) events.


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