Abstract
This paper proposes a methodology combining very high spatial resolution satellite image, GIS and field surveys to estimate the number of people living in areas at (high) risk of landslides or gully erosion in Selembao (Kinshasa). It also gives their socio-economic characteristics. Results show that 185,000 out of the 314,699 inhabitants estimated in Selembao (58.3% of the population) live in areas at high risk of gully erosion. There are in the spontaneous neighborhoods built on steep areas (slope >10%). The study of the socio-economic characteristics shows that these inhabitants belong to the modest socio-economic category (self-made bricklayers, seller at the markets and street traders selling food stuff). The level and nature of their income led them to have residential integration strategic restricted to hazardous areas where land prices and rents are more attractive.
Highlights
The knowledge of the size of the population is a pressing need in several areas, including transport, health, education, housing, economic planning, taxation, etc. (Romaniuk, 1967).The United Nations recommend us to make a census once every 10 years
One can notice that 131,821 out of the 314,690 inhabitants of Selembao, as estimated earlier, are installed on zones with weak slopes (
If for Van Caillie (1997), 10-12% of slopes constitute the minimum threshold for triggering the gully erosion in Kinshasa, Table 2 makes it possible to estimate at 185,000 inhabitants out of 317,690 who live in the zones at risk of gully erosion or landslide
Summary
The knowledge of the size of the population is a pressing need in several areas, including transport, health (public), education, housing (residential), economic planning, taxation (capitation), etc. (Romaniuk, 1967).The United Nations recommend us to make a census once every 10 years. There are few African countries that meet this requirement. Some countries organize it at irregular time intervals. Since its independence (in 1960) until today, the DRC has organized general population censuses in 1970 and 1984 only. National population data result from simple projections from the Institut National de la Statistique/National Statistics Institute (INS). It is true that regional censuses were often organized.
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