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Content:
Vol.
7, No. 2 Fall 2007
Vol.
7, No. 1 Spring 2007
Vol.
6, No. 2 Fall 2006
Vol.
6, No. 1 Spring 2006
Vol. 5, No. 2 Fall 2005
Vol.
5, No. 1 Spring 2005
Vol.
4, No. 2 Fall 2004
Vol.
4, No. 1 Spring 2004
Vol.
3, No. 2 Fall 2003
Vol.
3,
No. 1 Spring
2003
Vol. 2,
No. 2 Fall 2002
Vol. 2,
No. 1 Spring 2002
Vol. 1, No. 1 Fall 2001
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Abstract:
Interpretation of hydrogeological data frequently
involves assimilating information from many sites each with a unique
geographical location. Interpretation of these data requires that
the spatial location be incorporated into the analysis. Geographic
Information System (GIS) can be used efficiently for this purpose
where hydrogeological data having different spatial identity can be
analyzed objectively using different logical approaches. In the
present paper GIS is used for the analysis of hydrogeological data
acquired from remote sensing and surface geophysical techniques for
the assessment of groundwater condition of a soft rock terrain in
Midnapur District, West Bengal, India. Indian Remote Sensing
(IRS-1B) LISS-II data is used for the generation of thematic map of
geology. Geophysical survey is conducted using Vertical electrical
sounding (VES) at 139 locations in the study area. The data is
interpreted using evolutionary programming technique based on global
optimization. Aquifer resistivity and thickness interpreted from VES
data is used to generate the corresponding thematic maps. Weights
are assigned to different ranges of resistivity and thickness values
based on their position on geological map. Finally the weighted maps
are integrated using a GIS based aggregation method to model the
hydrogeological condition of the area.
Keywords: Groundwater, GIS, Remote Sensing, VES.
Abstract:
The chosen area of this case study is the northern
part of the Ebro Delta in northeast Spain. It used to be an
unhealthy swamp until sixty to eighty years ago. Within a relatively
short period, this area has been transformed into a productive
rice-growing area where interests of nature are to be respected.
Still, the potential of the area has not yet been reached and the
major objective of this study was to create a soil geographical
database (SGD), so as to derive ways and means to further improve
the management of natural resources. Two approaches were used to
define the required terrain features: (i) The “object-oriented”
approach where datasets with discrete units were created and the
limits were drawn based on the refinement’s of the surveyor model.
(ii) The “field” approach where continuous datasets were created by
interpolation from point data and its attributes. The main advantage
of the SGD was its flexibility in terms of data management. Each
information layer was stored independently with the georeferenced
data and its attributes allowing quick and easy manipulation.
Finally, an assessment of the integrated use of the SGD,
GIStechnology linked with an agro-ecological model, is shown for
characterizing and delineating the rice growth capability within the
area in the context of land-use planning and management of rural
land.
Keywords: land management,
soil database, capability map, dataset, salinity, Ebro Delta.
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Application of a Rational Model in GIS for Flood Rish
Assessment in Accra, Ghana
Benjamin Kofi Nyarko, Department of Geography
& Tourism, University of Cape Coast, Cape Coast, Ghana
Abstract:
Accra has been experiencing periodic flooding that
affect properties and lives. The government seeing the dangers
involved has commissioned institutions such as Ministry of Works and
Housing, Town and Country
Planning and City Engineers to identify flood risk zones and adapt
measures that will help reduce flood damages.
These institutions identify flood risk zones using conventional
methods such as watermarks on buildings and r
eported cases in the news media.Works carried out by these agencies
were not able to give details about
potential areas that are likely to experience this extreme event.
Hence there was the need to find a new method of
identifying and mapping of potential flood risk zones. To determine
flood risk zones in Accra and its environs a
hydrological model (modified rational model) was integrated into the
GIS platform, by the arithmetic overlay
operation method, using operators such as addition and division. The
results show that although the delineated areas
experienced a same rainfall intensity of 140.2 mm the flood
intensities of these areas could differ. The high flood
risk zone covers 35.66 percent of the study area, whiles the low
risk zone covers 26.85 percent. The areas that will
potentially experience periodic floods with a given input of
rainfall are mostly below the 350-meter contour.
Keywords: Flood,
Hazard, Mapping, GIS, Integration.
Integrating Water Quality Modeling with GIS to Determine
Management Strategies: A Study of Fort Gordon, GA
Anna Joan Edwards, Lead Cartographer, US Fish and Wildlife Service, 1875 Century
Boulevard,Atlanta, Georgia 30345.
Matt C. Smith, Ph.D, P. E. and David K. Gattie, Department of Biological and Agricultural
Engineering, Driftmier Engineering Center, The University of Georgia, Athens, Georgia,
30602-4435
Abstract:
Land managers of the Fort Gordon military
installation in Augusta, GA were in need of a tool which would
predict the effects to water quality produced by changes in land use
as well as predict impacts of existing land use condition to the
quality of water on and leaving the installation. Over the past ten
years many studies have evolved which provided differing levels of
integration between water quality models and geographic information
systems software. The Hydrologic Unit Water Quality Tool is a
software package developed by NRCS employees in Ft. Collins,
Colorado, which provides an intermediate integration between AGNPS
and GRASS. The overall purpose of this study was to evaluate the use
of this software as an aide in modeling water quality for Fort
Gordon.
Keywords:
water quality modeling, AGNPS (Agricultural Non-Point Source), GRASS
(Geographic Resources Analysis Support System), GIS, land
management, water resources, watershed management, HU/WQ (Hydrologic
Unit Water Quality Tool), Natural Resource Conservation Service
(NRCS)
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JoSHJournal
of Spatial Hydrology
ISSN: 1530-4736