Full text: Actes du Symposium International de la Commission VII de la Société Internationale de Photogrammétrie et Télédétection (Volume 1)

  
boat necessitated collection of 19 water samples along the laXe 
shore on 9th April 1981, the boat was available on 21st April ena- 
bling 18 samples to be collected well in the interior of the lake 
avoiding bottom reflectance effects. The samples were analysed 
for, in addition to the various parameters listed in regard to the 
Godavari survey, chlorophyll. since monitoring lake eutrophication 
status was one of the major objectives. 
3.3 Water quality mapping 
As multivariate categorisation algorithms proved inadequate in 
the case of water quality mapping, a different approach was attem- 
pted. The sampling sites vere identified and targeted in the Mul- 
tispectral Data Analysis system (MDAS) at NHSA Headquarters in Hy- 
derabad. Sufficient pixels around the sample point were included 
within the cursor to compensate for spectral and spatial uncertan- 
ties. 4 statistical analysis yielded the mean and standard devia- 
tion of pixel values contained in each training set. The mean re- 
flectance values in all the 11 wave bands of the scanner were ob- 
tained and all the possible band ratios computed. A stepwise re- 
gression programme correlated each individual water quality para- 
meter such as turbidity or chloride with the spectral varicbles of 
bands and band ratio values. The resulting multiple regression 
equations (Fig.5) were used as input to the next phase of analysis 
In this second phase, a mapping programme was developed for produ- 
cing colour coded.water quality maps. In the first. step of the 
programme water pixels were edited from non-water pixels and the 
water pixels digital values were input into the appropriate re- 
gression equation and the water quality parameter estimated, and 
assigned group numbers based on specified group number - range of 
water quality parameter relstionships. Then dummy training sets 
and groups were entered into MDAS along with desired colours. The 
categorised water quality information was then filmed, using the 
dummy group number-colour data, on the optronics recorder. The 
three black-and-white colour separates were then composed in the 
photo laboratory to yield categorised colour composite transparen- 
cies and prints. 
Colour coded maps showing surface distribution of turbidity, 
total suspended and dissolved solids, chlorides, chlorophyll etc. 
were obtained for Godavari and Husainsagar areas. 
3.4 Discussion of results 
After an evaluation, chloride level was chosen as the indica- 
tor for tracing pollution dispersion in the Godavari river area 
upstream of Rajahmundry town. The dilution of the paper mill ef- 
fluent by river waters was graphically illustrated by the gradual 
decrease in chloride level, from high at pollution influx point to 
fresh water levels within about 4 km downstream of the influxe 
point. Thus the downstream uses of river water for paper mill in- 
take, municipal water intake, human use for bathing and washing 
clothes etc. are not affected by the papermill effluent. Since 
this is the case with minimum river flow conditions, at any other 
time the dilution will be higher and consequently the impact of 
pollution on downstream use can be safely ignored. 
Husainsagar lake in Hyderabad is affected by significant 
614 
EMEN 
5 di 
mc ES 
ud t Lu S ss "mnn oc. ndi 
ELE M o ue idR. Nah RR (^ EEUU I i SAF RIA 
Rode 
O ct c^ oo
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.