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A COMPARATIVE STUDY OF LANDSLIDES AND GEOHAZARD ...

A COMPARATIVE STUDY OF LANDSLIDES AND GEOHAZARD ...

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ABSTRACT<br />

In 2003, a number of landslides occurred in the Ntchenachena and the Chiweta<br />

Areas of the Rumphi District in Northern Malawi, and in the Livilivi/Mvai<br />

Catchments of Ntcheu District in Central Malawi. The landslide events caused<br />

significant damage to crops, farmland, livestock and infrastructure. Worse still,<br />

they caused the death of four people. The high density of landslides<br />

occurrences suggested instability of the slopes of these areas.<br />

In light of these landslides, this study set out to assess the slope stability status of<br />

the areas. The study addressed landslide mapping and classification of observed<br />

events; assessment of the causes and contributing factors; assessment of the<br />

socio-economic and environmental impacts of the events; exploration of<br />

traditional knowledge, beliefs and peoples perceptions surrounding landslides;<br />

determination of the coping strategies; and development of mitigations to<br />

landslides as geo-hazards.<br />

This study involved a landslide inventory of all observed events. The physical<br />

characteristics of the terrain influencing slope instability were measured. The<br />

characteristics recorded included slope length, angles, aspect and altitude, and<br />

channel dimensions. Landslides were classified based on the type of movement,<br />

degree of stabilisation, and age, and materials involved in the movement. Soil<br />

samples were collected, using core and clod sampling methods and were<br />

tested for plastic limit, liquid limit, plasticity index, bulk density, hydraulic<br />

conductivity, aggregate stability, and particle sizes. Structural rock weaknesses<br />

were also measured. Vegetation data was collected, using the quadrant<br />

method and was analysed for average diameters at stump and breast height,<br />

canopy cover, and height. Questionnaires/surveys were used to assess local<br />

knowledge and perceptions towards landslides. A SPSS statistical package was<br />

used to analyse both social and physical data.<br />

iv

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