ERE - 2009http://dl.lib.uom.lk/handle/123/182892024-03-28T15:37:39Z2024-03-28T15:37:39ZProceedings of 4th Annual Conference on Towards the Sustainable Management of Earth Resources - A Multidisciplinary Approach [Pre Text]http://dl.lib.uom.lk/handle/123/183772022-10-12T03:15:04Z2009-05-01T00:00:00ZProceedings of 4th Annual Conference on Towards the Sustainable Management of Earth Resources - A Multidisciplinary Approach [Pre Text]
Karunaratne, S
2009-05-01T00:00:00ZDevelopment of oceanographic information dissemination system; an application of web GISSenevirathne, AMNKBPathirage, PUWijerathne, HKPKuhatheepan, SKuperajah, NRajapaksha, JKAbeysinghe, AMKBhttp://dl.lib.uom.lk/handle/123/183762022-10-12T03:14:59Z2009-05-01T00:00:00ZDevelopment of oceanographic information dissemination system; an application of web GIS
Senevirathne, AMNKB; Pathirage, PU; Wijerathne, HKP; Kuhatheepan, S; Kuperajah, N; Rajapaksha, JK; Abeysinghe, AMKB
Karunaratne, S
It is an essential requirement to promote offshore fishing activities
systematically to protect the coastal fishery resources, which are in optimal level of
exploitation One of the alternatives available is to divert coastal fishing effort to
offshore by providing information on offshore fishing grounds and favourable
environmental parameters. Objective of this present study is to implement web GIS
(Geographic Information System) as a supporting tool to transfer the satellite
derived favourable environmental parameters for fish aggregations to the end user.
In this study, satellite data were processed using remote sensing and GIS software
and the web GIS application was developed using open source Map Server,
PostgreSQL, PostGIS and Mapbender software. Four models were developed to
process the raw data and processed data are uploaded weekly to the World Wide
Web to enhance fishing activities. Potential fishing grounds, sea surface temperature
(SST), chlorophyll (CHL), sea surface height (SSH), ocean currents, bathymetry,
exclusive economic zone and fishery harbour locations are displayed in the web GIS
interface. Viewing, zooming, panning, distance measuring, displaying coordinates
and attributes and load WMS (Web Map Service) functions are enabled to provide a
dynamic framework to the user.
2009-05-01T00:00:00ZDevelopment of a flood hazard zonation map for "Kalu Ganga" basin by GIS modellingWelivitiya, WDDPJayasingha, JMHCBMusheen, MKSaputhanthri, SVSamaranayake, TDNTSeneviratne, ADissanayake, DMDOKhttp://dl.lib.uom.lk/handle/123/183752022-10-12T03:14:54Z2009-05-01T00:00:00ZDevelopment of a flood hazard zonation map for "Kalu Ganga" basin by GIS modelling
Welivitiya, WDDP; Jayasingha, JMHCB; Musheen, MK; Saputhanthri, SV; Samaranayake, TDNT; Seneviratne, A; Dissanayake, DMDOK
Karunaratne, S
"Kalu ganga" (river) is one of the major rivers in Sri Lanka situated in south-western part of the country. Kalu ganga basin area is a highly populated area
comprising urban centres and agricultural fields. River floods frequently occur in this area
resulting severe damage and destructions. Local planers, decision makers and
disaster relief organizations lacks accurate information on the spatial distribution of
flooding and the land-use types. Only minimal efforts and resources have been
allocated to deal with this problem. The objective of this research is to develop flood
hazard zone maps for the Kalu ganga basin area in a Geographic Information Systems
(GIS) environment. The applied methodology is comprised of 5 phases. They are
preparation phase, fieldwork and data acquisition phase, modelling and flood hazard
map generation phase, validation phase and reporting phase. According to the
generated flood hazard map, Kuruvita, Elapitiya and Rathnapura divisional
secretariats have the highest risk of flooding. Most divisional secretariats in the
western province exhibit low or moderate risks of flooding. According to the analysis
of flood hazard map with land-use classes, 2307 hectares of residential areas and 5568
hectares of agricultural fields were found to be at high risk of flooding.
2009-05-01T00:00:00ZEditing a digital elevation model to achieve a correct stream network: an application to Kalu-Ganga River in Sri LankaNandalal, HKRatnayake, URhttp://dl.lib.uom.lk/handle/123/183742022-10-12T03:15:00Z2009-05-01T00:00:00ZEditing a digital elevation model to achieve a correct stream network: an application to Kalu-Ganga River in Sri Lanka
Nandalal, HK; Ratnayake, UR
Karunaratne, S
Modelling a watershed accurately is an important step in water
management. Geographic Information Systems (GIS) together with
mathematical models have made modelling watersheds an easy task. Digital
Elevation Model (DEM) ts a primary data set necessary to model a watershed. DEMs
developed using many methods and DEMs are developed from remotely sensed data
are the cheapest. Some of them are freely available on-line. In modelling watersheds,
it is a common practice to delineate the stream network from a DEM. Matching of the
delineated stream network with the natural stream network will depend on the
accuracy of the DEM. Some hydrologic models contain built-in functions to edit
DEMs to overcome this problem. Hydrologic model, HEC GeoHMS, contains such a
function to edit DEM as required by the user. To edit the DEM it is necessary to have
the exact stream network to compare with the delineated network. In this work, Kaluganga
River stream network was delineated using a DEM available freely on-line and
it was compared with the natural stream network of Kalu-ganga River digitized from
1:50,000 maps produced by the Department of Survey. Then the DEM was edited
using the HEC GeoHMS model to achieve the desired stream network.
2009-05-01T00:00:00Z