Intrinsic Vulnerability Assessment of a Confined Carbonatic Aquifer: the Brindisi Plain Case (Southern Italy)

The method, using slope buckling safety factor to measure the degree of dam-break hazard, results in the unscientific conclusions of identical dam-break risk with respect to the desolate & uninhabited gobi desert and densely populated & highly economic-developed city. On the basis of vulnerability theory, a dam-break hazard vulnerability assessment index system, which comprehensively considering the inherent risks of dam-break and the intrinsic vulnerability of hazard-affected bodies, was established. The production of dam-break hazard-causing factor intensity, including the current dam height, reservoir capacity & downstream main ditch longitudinal, and accident probability by the Monte Carlo method is the inherent risk level of dam-break. The result by the multiplying physical exposure and the intrinsic vulnerability, including household fitness index & the emergency self-help index, as well as the disaster relief capacity is the hazard-affected body vulnerability. Results are contributable to further consummate the vulnerability risk assessment technology and the reliability of dam-break hazard.

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Intrinsic vulnerability assessment of shallow groundwater to pollution using the GOD Method by utilizing geoelectric data: a case study of the city of Pasuruan, East Java, Indonesia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/437/1/012004 ◽

2020 ◽

Vol 437 ◽

pp. 012004

Author(s):

Prasetyo Rubiantoro ◽

Berlian Gari Amrina

Keyword(s):

Vulnerability Assessment ◽

Shallow Groundwater ◽

Intrinsic Vulnerability ◽

The City ◽

Geoelectric Data

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The EPIK multi-attribute method for intrinsic vulnerability assessment of karstic aquifer under semi-arid climatic conditions, case of Cheria Plateau, NE Algeria

Arabian Journal of Geosciences ◽

10.1007/s12517-020-05704-0 ◽

2020 ◽

Vol 13 (15) ◽

Author(s):

Abdelaziz Nekkoub ◽

Fethi Baali ◽

Riheb Hadji ◽

Younes Hamed

Keyword(s):

Vulnerability Assessment ◽

Climatic Conditions ◽

Karstic Aquifer ◽

Intrinsic Vulnerability ◽

Semi Arid

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Intrinsic vulnerability of the Alburni karst system (southern Italy)

Geological Society London Special Publications ◽

10.1144/sp279.12 ◽

2007 ◽

Vol 279 (1) ◽

pp. 137-151 ◽

Cited By ~ 4

Author(s):

D. Ducci

Keyword(s):

Southern Italy ◽

Karst System ◽

Intrinsic Vulnerability

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Intrinsic vulnerability assessment of the south-eastern Murge (Apulia, southern Italy)

Natural Hazards and Earth System Science ◽

10.5194/nhess-4-769-2004 ◽

2004 ◽

Vol 4 (5/6) ◽

pp. 769-774 ◽

Cited By ~ 6

Author(s):

A. Marsico ◽

G. Giuliano ◽

L. Pennetta ◽

M. Vurro

Keyword(s):

Southern Italy ◽

Structural Data ◽

Structural Features ◽

Karst Area ◽

The South ◽

Intrinsic Vulnerability ◽

South Eastern ◽

Best Fitting ◽

Potential Pollution ◽

Index Maps

Abstract. Maps of areas with different vulnerability degrees are an integral part of environmental protection and management policies. It is difficult to assess the intrinsic vulnerability of karst areas since the stage and type of karst structure development and its related underground discharge behaviour are not easy to determine. Therefore, some improvements, which take into account dolines, caves and superficial lineament arrangement, have been integrated into the SINTACS R5 method and applied to a karst area of the south-eastern Murge (Apulia, southern Italy). The proposed approach integrates the SINTACS model giving more weight to morphological and structural data; in particular the following parameters have been modified: depth to groundwater, effective infiltration action, unsaturated zone attenuation capacity and soil/overburden attenuation capacity. Effective hydrogeological and impacting situations are also arranged using superficial lineaments and karst density. In order to verify the reliability of the modified procedure, a comparison is made with the original SINTACS R5 index evaluated in the same area. The results of both SINTACS index maps are compared with karst and structural features identified in the area and with groundwater nitrate concentrations recorded in wells. The best fitting SINTACS map is then overlaid by the layout of potential pollution centres providing a complete map of the pollution risk in the area.

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