Paper reviewk
Summary
disposal of municipal waste is always of great concern due to
its environmental impacts and heath threatening effects. Due to rapid
urbanization it is now a common practice that people are dumping municipal waste into quarries or oceans with
out any proper treatment . Using an old quarries into a well designed landfill
is considered a good management of a solid waste. Land fill siting is major
task for the planners because factor like geology , topography ,subsurface groundwater and surface water are associated
with it. There still exist a places which were used for dumping of waste In
past but due to rapid urbanization and passage of time they are now brought in to use for different purposes.
Detection and characterization of buried land fill Via different approaches is the aim of this paper.
The research paper is focusing on the detection and geometrical
characterization of a hidden landfill site located along the coastline of the
Campi Flegrei, near Naples, Italy.
In order to examine
different Topographic changes topographic historical maps at different scales
from 1887 to 2004 and white aerial photographs from 1843 to 1998 are acquired
from the Italian military geographic institute (IGM).
two couples of historical aerial stereo pairs acquired by the
IGM, dated 1956 and 1974, along with topographic data derived from an airborne lidar survey (ALS)
These data set was used to produce multi-temporal digital
elevation models (DEMs) of the study area, with the aim of comparing the
obtained DEMs by a GIS-based change detection analysis.
Comparative analyses of the topographic maps clearly showed that in 1943 There is little
dumping in the quarry it increases in 1956 and 1974 and in 1998 it is
completely filled with waste and reclaimed for construction as shown in fig
below, this shows the variation of urban development and anthropic activity
with respect to time.
Detection and Geometrical Characterization of a Buried Landfill Site by Integrating Land Use
Historical Analysis, Digital Photogrammetry and Airborne Lidar Data. Giuseppe Esposito , Fabio Matano * and Marco Sacchi. Geosciences 2018, 8, 348.
Paper review by,
Abdullah Kakar
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