| Author | Dayawansa, N. D. K. |
| Call Number | AIT Thesis no.SR-97-5 |
| Subject(s) | Nonpoint source pollution--Remote sensing
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. SR-97-5 |
| Abstract | The objective of this study is to identify critical non-point source pollution risk locations using
remote sensing techniques and through the application of Agricultural Non-Point Source
Pollution Model (AGNPS). The catchment selected for the study is of Nilambe river which is
a main tributary of Mahaweli river in Sri Lanka. A land use/land cover map was developed
using digital analysis of Indian Remote Sensing Linear Imaging and Self Scanning System
(IRS LISS II) data which has a ground resolution of 37 .5 meters to identify five model
parameters related to land cover. Optimum Index Factor (OIF) approach was employed to
obtain best three-band combination for digital analysis of satellite data. The digital thematic
maps prepared on soil texture, slope, aspect and stream network of the study area were
incorporated into the model using grid map of 40 acre cells with the aid of a GIS.
The AGNPS provided detailed output of runoff, upland erosion, sediment yield, nitrogen,
phosphorus and Chemical Oxygen Demand (COD) concentrations in sediment and runoff at
any point of the catchment as well as at the outlet. Accordingly, the critical locations in the
study area in terms of sediment and nutrient production were identified. The model's behavior
on storms with different magnitudes, with different slopes and the relationship of upland
erosion potential and sediment yield were studied. Sloping Agricultural Land Technology
(SALT) was identified as a better way of managing soil and other land resources.
From the study, it can be recommended that multi-date imagery can be used to study the
effects of dynamics of land use on water quality as well as to simulate number of Best
Management Practices (BMPs) for identifying the most cost effective and efficient BMP based
on AGNPS results. |
| Year | 1997 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. SR-97-5 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Space Technology Application and Research (SR) |
| Chairperson(s) | Delsol, J.P.; |
| Examination Committee(s) | Andrianasolo, Haja;Murty, V.V.N.; |
| Scholarship Donor(s) | Government of France; |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 1997 |