Ajith Joseph, K., N.Nandini Menon and Shadananan Nair, K.S. JULY, 2011 TECHNICAL REPORT ON WATER QUALITY MONITORING AND LOW COST PURIFICATION STRATEGIES FOR INLAND WATERWAYS OF LOW-LYING AREAS NERCI Technical Report No.7, July, 2011 DOI: 10.13140/2.1.3206.5920
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WATER QUALITY MONITORING AND LOW COST PURIFICATION STRATEGIES FOR INLAND WATERWAYS OF LOW-LYING AREAS
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Transcript
Ajith Joseph, K., N.Nandini Menon and Shadananan Nair, K.S.
JULY, 2011
TECHNICAL REPORT ON
WATER QUALITY MONITORING AND LOW COST PURIFICATION STRATEGIES FOR INLAND
2003; Kolpin et al., 2002). All of these activities have costs in terms of water quality and the health
and integrity of aquatic ecosystems (Meybeck, 2004).
In the case of the Periyar River, alkalinity downstream of a rare earth metals processing plant
declined significantly in the early 1980s; this decline was accompanied by an increase in the overall
variability of pH. Water quality at that monitoring station also tended to have much higher hardness,
conductivity, chloride, sulphate and nitrate concentrations than a baseline, upstream monitoring
station (Carr and Neary, 2006).
E. coli indicates the presence of only faecal contaminants, while total or faecal coliform tests may
give positive results for non-faecal, naturally occurring bacterial species (Hill, 2003). Although many
cities have advanced wastewater treatment facilities that effectively reduce microbial contaminant
loads to near zero values, there remains a very large proportion of the world’s population, primarily
in developing countries, without access to improved sanitation facilities, where wastewaters are
discharged directly to the environment without treatment. In fact, an estimated 2.6 billion people
lacked access to improved sanitation facilities in 2002 (WHO/Unicef, 2005). A study of the physico-
chemical parameters of the minor water bodies around Kottayam by Abraham and Madanakumar
(2001) revealed that only 6.94% of them were fairly clear enough to be used for domestic purpose.
The rest were polluted in one form or the other.
Minor water bodies are characterised by relatively quiet waters and abundant vegetation. Large numbers of micro and macro organisms dwell in these water bodies. The richness of the fauna is dependent mainly on the presence of respiratory gases, the amount of sunlight penetration and turbidity.
The proposed project was aimed at improving the water quality of the study region, (Fig.1),
canals of Meenachil river in the upper Kuttanad (connecting Karippel to Maniaparambu, which
lies between 9°37'23” and 9°38'42” N latitude and 76° 28'33” and 76° 30'6” E longitude),
Arpookara Panchayat, Kottayam District, connected to the river Meenachil in central Kerala,
southwest coast of India through implementation of low cost purification strategies. The
drainage areas of this river basin is about 1250 sq.km with a length of 78km, has a steep
gradient, is fast flowing and is normally fed by the Indian monsoon rains. This river finally
debouches into the Arabian Sea through one of the largest backwater systems in the west coast
of India, called Vembanad lake, after traversing through quite a number of small canals and
distributaries. The annual average discharge is about 1190 million m3. But the percentage of
annual discharge during the lean season is only 13%. This chain of canals support inland
To identify natural herbs that have the sediment holding capacity to control bank erosion during flooding which would limit the transport of suspended sediments into the canals which in turn would impair light transparency and clogging of fish gills.
To make a feasibility study on the effectiveness of these natural materials to improve the water quality and erosion control measures.
To make a demonstration of the identified low cost practices for water quality and navigational improvement
Initially during the project, to set up baseline environmental conditions, seasonal
water quality monitoring of the river system in the study area was planned and
implemented. The results of this monitoring establish the extent of pollution and also
the need to control/remediate the pollution in identified stretches of the water body.
From the evaluation of report findings of observations obtained from the GIS spatial
analysis and field investigations it was clear that 10.01% of the total area of the
selected river portion is falling in the unsuitable zone and rest is in moderately suitable
zone.
From the field observation it was established that waste disposal is/was the main
cause of pollution. The plastic waste disposal and almost flat nature of the terrain will
decelerate the self purifying capacity of the river.
A buffer zone of 500 m is generated around the unsuitable zone and overlaid on the
landuse map. From the overlay analysis it was is shown that the buffer zone falls
mainly on the settlement with mixed crop, rubber and mixed crop. This shows that
the source of pollutants is mainly concentrated in this region. The absence of
unsuitable zone near to paddy region indicates the power of clay in paddy fields to
reduce the adverse effect of pollutants. So it is very much understood that the
clayey and clayey lateritic terrains are important to purify the river and point towards
the importance of rejuvenation of clayey and lateritic terrains. This can only be
achieved by planting trees especially on the tropical lateritic terrains.
Annex 2: Identification and selection of low cost water purification materials
Annex3: Bio-wall construction to control bank erosion
Annex 4: Phytoremediation techniques
Annex 5: Awareness campaigns
Annex 6: Geospatial analysis of water quality of the study region
Annex 7: Biodiversity improvement
Appendix 4:Summary
Appendix 5:Bibliography
Annexure 1- Baseline information on water quality of the study region
3.1.2.1 Physico – chemical characteristics of the water body
Water quality analyses helped to identify the hot spots within the study region that requires
attention in the context of water quality improvement. The region closer to downstream
stretches of the canal is environmentally critical in terms of BOD, COD and hardness. The
presence of salt water during January in almost all the stations have been noticed but it is
within the prescribed limits of WHO standards for irrigation and life support for freshwater
organisms (WHO, 2004). But all the stations are deprived of sufficient amount of dissolved
oxygen.
CHEMICAL OXYGEN DEMAND (COD)
COD is a measure of the oxygen equivalent of the organic matter in a water sample that is
susceptible to oxidation by a strong chemical oxidant, such as dichromate (Chapman, 1996).
It was found that during post monsoon season the COD was high in stations 1,2,5,6,7,13,15
with the peak found in stations 2 and 7with COD of 213mg O2 / l and 190 mg O2 / l
respectively. This high COD can be attributed to the untreated heavy organic load entering in
to the waters from the nearby areas.
PARAMETER : COD (mgO2/l)
25
Station Post Monsoon Pre Monsoon Monsoon
Station 1 116.67 30.00 38.40
Station 2 213.33 40.00 48.00
Station 3 53.33 20.00 28.80
Station 4 90.00 10.00 57.60
Station 5 160.00 30.00 38.40
Station 6 123.33 20.00 28.80
Station 7 190.00 50.00 57.60
Station 8 63.33 20.00 28.80
Station 9 56.67 30.00 28.80
Station 10 35.00 30.00 86.40
Station 11 40.00 10.00 19.20
Station 12 66.67 20.00 28.80
Station 13 123.33 30.00 38.40
Station 14 45.00 20.00 28.80
Station 15 116.67 70.00 76.80
Station 16 46.67 50.00 86.40
26
In minor water bodies, household and industrial wastes may cause high concentrations of
BOD, COD, nitrates, organic chemicals and bacteria (Todd et al., 1976). The tolerance limit of
COD set for inland surface waters subject to pollution is 250 mg /l (US EPA, 1997). As per
this value, the COD values of all the stations during all seasons were within the acceptable
range. The highest COD was noted during the post monsoon season. The closure of the
bund with subsequent accumulation of organic wastes in the water body along with lack of
circulation of the water could be the reasons for high COD. During monsoon and pre-
monsoon seasons, the bund remains open and there is exchange of water and wastes
between the backwater and the inland water bodies, leading to a reduction in COD.
Monsoon season is the time of maximum flushing and cleansing in the water body. But the
anomaly in the COD value could be explained in terms of the time of sampling. During peak
monsoon, the entire study area was flooded with water and the flow rate was high making it
difficult for sampling. So sampling was done after the rains subsided and the flow rate
normalized. Station 10 and 16 which recorded high COD during monsoon season are located
in such a position that the wastes washed out along the river gets accumulated in these
pockets.
4.2 HARDNESS
Hardness is a water quality parameter that is most influenced by the geology of the surrounding
drainage basin, in lake and river monitoring stations worldwide. It is a water-quality indication of 27
the concentration of alkaline salts in water, mainly calcium and magnesium. According to
International standards, the scale of water hardness, measured by weight of dissolved salts (in
milligrams) per unit (in litres) of water is as follows:
Soft — 0–60 mg/l
Moderately Hard — 61–120 mg/l
Hard — 121–180 mg/l
Very Hard — over 180 mg/l
PARAMETER : HARDNESS (Ca2+, Mg2+) (mg CaCo3/l)
Station Post Monsoon Pre Monsoon Monsoon
Station 1 63.31 59.42 6.40
Station 2 63.31 52.68 15.00
Station 3 64.90 55.28 26.00
Station 4 109.33 52.79 33.20
Station 5 119.88 48.11 44.00
Station 6 115.41 53.63 52.20
Station 7 127.86 60.17 64.00
Station 8 149.64 54.59 71.20
Station 9 165.49 108.25 80.00
Station 10 162.25 102.73 87.20
Station 11 211.43 146.05 8.20
Station 12 189.29 122.90 16.60
Station 13 194.84 124.08 26.40
Station 14 210.95 144.67 33.80
28
Station 15 185.55 60.82 41.80
Station 16 240.55 49.68 53.80
During post monsoon season, hard water is found in all stations. Todd et al. (1976) are of
the opinion that solid waste influx during non-monsoon months increases the hardness,
alkalinity and total dissolved salts of underground water. Here also, the closure of bund
during post monsoon season results in accumulation of wastes in the study area increasing
hardness of the surface water. Stations 1, 2 and 3 which are the riverine stations recorded
only moderate hardness.
Contrary to this, during pre monsoon season, typical hard water was seen only in stations
11-14 and during monsoon, due to efficient flushing, water was not hard in any part of the
study area. The hardness of water has a direct effect on aquatic life affecting their
osmoregulation .With increased hardness, the water become more concentrated thus
stressing the aquatic life as they have to spend more energy to regulate their body fluid
concentration, i.e., to prevent the efflux of their body fluids.
BIOCHEMICAL OXYGEN DEMAND (BOD)
BOD is a measure of the amount of oxygen removed from aquatic environments by aerobic
micro-organisms for their metabolic requirements during the breakdown of organic matter,
and systems with high BOD tend to have low dissolved oxygen concentrations. 29
Microbial consumption of oxygen, measured as BOD, tends to increase with water temperature.
Higher water temperatures affect plant life by increasing growth rates, resulting in a shorter
lifespan and species overabundance (i.e., algal blooms). Increases in algae and macrophyte
abundance further reduce oxygen saturation in the water column. The loss of oxygen-sensitive
but highly valued trophy species like trout and the aesthetic degradation caused by ‘weedy’
receiving waters can impact the use of the system as a recreational resource (Taylor and Helwig,
1995).
PARAMETER : BOD (mg O2 / l)
Station Post Monsoon Pre Monsoon Monsoon
Station 1 49.53 2.53 3.80
Station 2 57.50 2.74 7.49
Station 3 29.09 2.53 9.30
Station 4 14.64 5.61 8.70
Station 5 38.97 6.17 12.91
Station 6 44.58 1.93 11.65
Station 7 26.97 3.51 7.68
Station 8 24.24 2.29 14.71
Station 9 30.64 14.31 14.85
Station 10 5.61 17.04
Station 11 19.97 3.83 10.47
Station 12 32.30 2.46 10.89
Station 13 74.40 38.68 8.79
Station 14 31.21 2.20 13.07
Station 15 27.73 6.12 8.35
30
Station 16 26.01 6.02 14.01
During the post monsoon season, BOD was found to be high in all the stations , with the
highest value of 74.4 mg O2 / l in station13.The high BOD represents increased biological
activity, wherein all the dissolved oxygen are used to degrade the organic matter. This may
be attributed to fertilizer runoff from the fields to the waters thus promoting the growth of
algae. When algae die, plenty of dissolved oxygen is used up to decompose the organic
matter leading to anoxic conditions and consequent fish kills.
During the premonsoon season, BOD at all stations, except 9 and 13, was found to be
between 2-8 mg/l, which is considered as the indication of moderate water pollution.
During monsoon season also, according to the BOD values, water appears to be polluted.
Study by Abraham and Madanakumar (2001) on the minor water bodies around Kottayam
has also recorded high BOD values ranging between 40.13 and 68.24. They have attributed it
to the discharge of sewage, waste and the subsequent increase in the microbial population.
As part of the National Programme of Monitoring of Indian National Aquatic Resources
(MINARS), CPCB found that the numbers of water bodies (river stretches and lentic water
bodies) exceeding the level of 6 mg/l BOD are 86 and among them 71 are river stretches and
15 are lentic water bodies (lakes/tanks and ponds) (Bharadwaj, 2005).
pH
31
The pH of an aquatic ecosystem is important because it is closely linked to biological
productivity. Although the tolerance of individual species varies, pH values between 6.5 and
8.5 usually indicate good water quality and this range is typical of most major drainage
basins of the world. Variation in pH is related to the fluctuations in temperature. A
decrease in pH would occur if temperature increases, since there would be a greater
decrease of CO2 level due to the high rate of decomposition of organic matter
(Dineshkumar, 1997).
PARAMETER : pH
Station Post Monsoon Pre Monsoon Monsoon
Station 1 6.46 6.23 6.07
Station 2 6.41 6.27 6.23
Station 3 6.38 6.23 5.99
Station 4 6.38 6.29 5.97
Station 5 6.77 6.07 6.33
Station 6 6.36 6.13 6.05
Station 7 6.43 6.20 5.98
Station 8 6.71 6.15 5.90
Station 9 6.16 6.02 5.72
Station 10 6.15 6.17 6.05
Station 11 5.82 6.20 5.88
Station 12 6.09 6.06 5.88
Station 13 5.77 6.15 5.92
Station 14 5.88 6.00 5.93
Station 15 6.19 6.19 5.92
Station 16 5.99 6.23 5.70
32
The pH for all stations during the post monsoon, premonsoon and monsoon seasons was
found to be around 6.00.This is found to be in acceptable pH range of 6-8 for lakes, ponds
and streams. In the upper basins of the Meenachil river, land use varies from evergreen
forests and plantation crops like rubber and tea in the highland regions to crops like rice and
coconut in the midland (Gopakumar and Takara, 2008, ICMAM, 2002).
DISSOLVED OXYGEN
PARAMETER: DISSOLVED OXYGEN, DO
(mg O2 / l)
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 2.67 5.93 6.12
Station 2 2.51 4.63 4.85
Station 3 2.40 3.41 4.39
Station 4 1.85 2.35 4.52
Station 5 1.91 3.14 5.01
33
Station 6 2.18 3.17 5.17
Station 7 1.58 3.04 5.03
Station 8 1.85 3.46 5.01
Station 9 2.34 2.68 4.69
Station 10 2.07 2.92 4.37
Station 11 1.69 3.11 4.70
Station 12 2.12 4.12 4.71
Station 13 1.90 3.53 4.37
Station 14 2.18 3.04 4.10
Station 15 2.02 2.55 4.52
Station 16 2.07 4.05 1.88
During the post monsoon season, the DO is found to be almost constant in all the stations
(around 2.00). This DO level is much below the recommended level of DO of 4.0 – 5.0 mg/L
to support aquatic life. The decrease in DO may be indicative of bacteria coming from
untreated sewage or organic discharges; thereby resulting in increased BOD.
34
During the premonsoon season, the DO level is highly variable among the stations studied.
Except for stations 4, 9, 10, 15 all other stations have a minimal DO level to support aquatic
life.
During the monsoon season, the DO level is found to be within acceptable standards to
support life for all stations except for station16.
PARAMETER : SUSPENDED SEDIMENTS (TSS) (mg/l)
Station Post Monsoon Pre Monsoon Monsoon
Station 1 2.18
Station 2 5.41
Station 3 1.60
Station 4 1.66
Station 5 6.51
Station 6 1.51
Station 7 3.52
Station 8 3.19
Station 9 8.35
Station 10 6.18
Station 11 6.70
Station 12 3.70
Station 13 5.84
Station 14 3.58
Station 15 7.06
Station 16 3.97
35
During the pre monsoon season, suspended sediments were measured for all stations in
terms of total suspended solid concentration (mg per litre of water).It was found that
suspended sediments was very low for all stations , compared to 25-80 mg/L which is the
average TSS concentration for moderate water quality.
PARAMETER : TOTAL Coliforms
(MPN index / 100 ml)
Station Post Monsoon Pre Monsoon Monsoon
Station 1 747.67 780.00 28.00
Station 2 181.00 413.25 240.00
Station 3 337.67 803.33 1100.00
Station 4 191.00 177.75 240.00
Station 5 106.00 155.10 240.00
Station 6 254.33 379.00 93.00
Station 7 69.67 174.50 210.00
Station 8 350.00 521.33 43.00
Station 9 571.50 564.00
Station 10 141.50 93.00 93.00
Station 11 237.00 587.50 210.00
Station 12 211.00 240.00 1100.00
Station 13 188.00 600.00 150.00
Station 14 253.33 116.50 460.00
Station 15 84.00 225.00 240.00
Station 16 39.50 82.50 1100.00
36
During the post monsoon and premonsoon seasons, total coliform was found to be within
the acceptable standards. But during the monsoon season, stations 3, 12 and 16 showed an
increase in the total coliform compared to the advisable safe limits. The increase in total
coliform is indicative of the pathogenic organisms present in water. This may be attributed
to indiscriminate discharge of untreated sewage and human, animal faecal matter in to the
water (Tang, 2009).
PARAMETER : SALINITY (Chlorosity mg / l x0.0018)
Station Post Monsoon Pre Monsoon Monsoon
Station 1 0.008 0.002 0.11
Station 2 0.007 0.004 0.019
Station 3 0.009 0.01 0.031
Station 4 0.011 0.011 0.025
Station 5 0.011 0.006 0.032
Station 6 0.011 0.006 0.024
37
Station 7 0.017 0.012 0.031
Station 8 0.008 0.006 0.021
Station 9 0.010 0.008 0.024
Station 10 0.010 0.009 0.025
Station 11 0.038 0.052 0.042
Station 12 0.007 0.008 0.023
Station 13 0.009 0.013 0.025
Station 14 0.01 0.008 0.018
Station 15 0.01 0.013 0.025
Station 16 0.03 0.019 0.039
PARAMETER : Na (mg / l)
Station Post Monsoon Pre Monsoon Monsoon
38
Station 1 16.27 64.50 3.85
Station 2 59.57 42.81 5.90
Station 3 18.37 43.75 7.20
Station 4 22.37 39.68 8.40
Station 5 22.27 34.58 5.10
Station 6 16.77 34.75 5.80
Station 7 21.07 37.96 8.20
Station 8 23.50 42.75 4.90
Station 9 34.53 98.21 5.65
Station 10 47.97 89.60 5.50
Station 11 47.80 155.89 10.05
Station 12 40.87 98.54 5.45
Station 13 42.33 113.73 4.65
Station 14 52.53 88.49 4.35
Station 15 27.87 45.60 6.90
Station 16 38.87 43.53 9.85
39
During all the seasons, the sodium level of water was low compared to the desirable range
of 200 mg/l for drinking purposes. Since the percentage of sodium in water also determines
the suitability of water for irrigation, it was found that the Na+ level of water in stations 11
and 13 was high compared to the maximum tolerance limit of 60% for irrigation purposes.
The high Na % may be due to the sewage contribution from the neighbouring industries.
PARAMETER : K (mg / l)
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 2.20 5.00 1.05
Station 2 2.13 3.60 1.25
Station 3 2.23 3.70 1.70
Station 4 2.40 3.45 1.55
Station 5 2.97 3.23 1.15
Station 6 2.20 3.28 0.75
40
Station 7 2.37 3.60 1.70
Station 8 2.53 3.70 1.20
Station 9 3.23 6.03 1.45
Station 10 3.63 5.90 1.20
Station 11 4.70 8.70 2.00
Station 12 3.73 6.15 1.35
Station 13 3.27 5.28 1.15
Station 14 3.60 8.05 1.10
Station 15 2.70 4.08 1.90
Station 16 4.10 4.15 1.65
During all the seasons, potassium level of water was found to be low in all stations making it
unsuitable for irrigation, K+ being the essential nutrient element for plants (Dodds and
Oakes, 2004).
POST MONSOON PLOT FOR THE PHYSICAL PARAMETERS [SALINITY, HARDNESS , Na (mg/l), K
(mg/l)] OF ALL THE STATIONS
Stations Salinity Hardness Na K
41
Station1 0.008 63.307 16.267 2.200
Station2 0.007 63.307 59.567 2.133
Station3 0.009 64.900 18.367 2.233
Station4 0.011 109.333 22.367 2.400
Station5 0.011 119.880 22.267 2.967
Station6 0.011 115.407 16.767 2.200
Station7 0.017 127.860 21.067 2.367
Station8 0.008 149.640 23.500 2.533
Station9 0.010 165.487 34.533 3.233
Station10 0.010 162.253 47.967 3.633
Station11 0.038 211.427 47.800 4.700
Station12 0.007 189.293 40.867 3.733
Station13 0.009 194.840 42.333 3.267
Station14 0.010 210.953 52.533 3.600
Station15 0.010 185.547 27.867 2.700
Station16 0.030 240.553 38.867 4.100
42
PREMONSOON PLOT FOR THE PHYSICAL PARAMETERS [SALINITY, HARDNESS, Na (mg/l), K
(mg/l), Suspended sediments (mg/l)] OF ALL THE STATIONS
Station Salinity Hardness Na K
Station1 0.002 59.42 64.50 5.00
Station2 0.004 52.68 42.81 3.60
Station3 0.010 55.28 43.75 3.70
Station4 0.011 52.79 39.68 3.45
Station5 0.006 48.11 34.58 3.23
Station6 0.006 53.63 34.75 3.28
Station7 0.012 60.17 37.96 3.60
Station8 0.006 54.59 42.75 3.70
Station9 0.008 108.25 98.21 6.03
Station10 0.009 102.73 89.60 5.90
Station11 0.052 146.05 155.89 8.70
43
Station12 0.008 122.90 98.54 6.15
Station13 0.013 124.08 113.73 5.28
Station14 0.008 144.67 88.49 8.05
Station15 0.013 60.82 45.60 4.08
Station16 0.019 49.68 43.53 4.15
MONSOON PLOT FOR THE PHYSICAL PARAMETERS [SALINITY, HARDNESS, Na (mg/l), K (mg/l),] OF ALL THE STATIONS
Stations Salinity Hardness Na K
Station1 0.110 6.40 3.85 1.05
Station2 0.019 15.00 5.90 1.25
Station3 0.031 26.00 7.20 1.70
Station4 0.025 33.20 8.40 1.55
Station5 0.032 44.00 5.10 1.15
44
Station6 0.024 52.20 5.80 0.75
Station7 0.031 64.00 8.20 1.70
Station8 0.021 71.20 4.90 1.20
Station9 0.024 80.00 5.65 1.45
Station10 0.025 87.20 5.50 1.20
Station11 0.042 8.20 10.05 2.00
Station12 0.023 16.60 5.45 1.35
Station13 0.025 26.40 4.65 1.15
Station14 0.018 33.80 4.35 1.10
Station15 0.025 41.80 6.90 1.90
Station16 0.039 53.80 9.85 1.65
POSTMONSOON PLOT FOR THE CHEMICAL PARAMETERS (pH, COD) FOR ALL THE STATIONS
STATIONS pH COD
45
Station1 6.46 116.67
Station2 6.41 213.33
Station3 6.38 53.33
Station4 6.38 90.00
Station5 6.77 160.00
Station6 6.36 123.33
Station7 6.43 190.00
Station8 6.71 63.33
Station9 6.16 56.67
Station10 6.15 35.00
Station11 5.82 40.00
Station12 6.09 66.67
Station13 5.77 123.33
Station14 5.88 45.00
Station15 6.19 116.67
Station16 5.99 46.67
46
During the post monsoon season,
• pH is found to be in the acceptable range for all stations for a desirable water quality. • COD is found to be very high in stations 2, 5, 7 and 13 that can be accounted to the
untreated organic load entering the water from nearby places.
PREMONSOON PLOT FOR THE CHEMICAL PARAMETERS (pH, COD) FOR ALL THE STATIONS
STATIONS pH COD
Station1 6.23 30.00
Station2 6.27 40.00
Station3 6.23 20.00
Station4 6.29 10.00
Station5 6.07 30.00
Station6 6.13 20.00
Station7 6.20 50.00
Station8 6.15 20.00
Station9 6.02 30.00
Station10 6.17 30.00
47
Station11 6.20 10.00
Station12 6.06 20.00
Station13 6.15 30.00
Station14 6.00 20.00
Station15 6.19 70.00
Station16 6.23 50.00
During premonsoon season,
• pH is found to be in the neutral range for all stations indicating neither acidic or alkaline water.
• COD is in a desirable range in all stations indicating the availability of water dissolved oxygen in these stations.
MONSOON PLOT FOR THE CHEMICAL PARAMETERS (pH, COD) FOR ALL THE STATIONS
STATIONS pH COD
Station1 6.07 38.40
Station2 6.23 48.00
Station3 5.99 28.80
Station4 5.97 57.60
48
Station5 6.33 38.40
Station6 6.05 28.80
Station7 5.98 57.60
Station8 5.90 28.80
Station9 5.72 28.80
Station10 6.05 86.40
Station11 5.88 19.20
Station12 5.88 28.80
Station13 5.92 38.40
Station14 5.93 28.80
Station15 5.92 76.80
Station16 5.70 86.40
During the monsoon season,
49
• pH is found to be in the neutral range maintaining the water quality standards. • COD is more or less the same in all stations compared to the premonsoon season
except for station 10 where there is a sudden rise in the COD level from 30 mg O2 / l to 86.40 mg O2 /l. This may be either due to discharge of untreated sewage or fertilizer runoff from the fields adding to the organic load of the water.
POSTMONSOON PLOT FOR THE BIOLOGICAL PARAMETERS [DO (mg O2/l), BOD (mgO2/l),T.
Coliform(MPN index/100ml)] FOR ALL THE STATIONS
STATION DO BOD T. Coliform
Station1 2.67 49.53 747.67
Station2 2.51 57.50 181.00
Station3 2.40 29.09 337.67
Station4 1.85 14.64 191.00
Station5 1.91 38.97 106.00
Station6 2.18 44.58 254.33
Station7 1.58 26.97 69.67
Station8 1.85 24.24 350.00
Station9 2.34 30.64 571.50
Station10 2.07 1375.88 141.50
Station11 1.69 19.97 237.00
Station12 2.12 32.30 211.00
Station13 1.90 74.40 188.00
Station14 2.18 31.21 253.33
Station15 2.02 27.73 84.00
Station16 2.07 26.01 39.50
50
During the post monsoon season,
• DO is found to be very low than the acceptable DO in all stations indicating highly polluted water.
• In relation to the low DO, BOD is high with the peak BOD found in station10 indicating severely polluted water.
• Total Coli form for all stations was well within the acceptable standards.
PREMONSOON PLOT FOR THE BIOLOGICAL PARAMETERS [DO (mg O2/l), BOD (mgO2/l),T.
Coliform (MPN index/100ml)] FOR ALL THE STATIONS
STATION DO BOD T. Coliform
Station1 5.93 2.53 780.00
Station2 4.63 2.74 413.25
Station3 3.41 2.53 803.33
Station4 2.35 5.61 177.75
Station5 3.14 6.17 155.10
Station6 3.17 1.93 379.00
Station7 3.04 3.51 174.50
Station8 3.46 2.29 521.33
51
Station9 2.68 14.31 564.00
Station10 2.92 5.61 93.00
Station11 3.11 3.83 587.50
Station12 4.12 2.46 240.00
Station13 3.53 38.68 600.00
Station14 3.04 2.20 116.50
Station15 2.55 6.12 225.00
Station16 4.05 6.02 82.50
During the premonsoon season,
• DO level have increased in all stations compared to the post monsoon season. • BOD is accordingly low during this season indicating the availability of dissolved
oxygen to oxidize the organic matter present. • Total coliform fall within the safe limits for all stations.
MONSOON PLOT FOR THE BIOLOGICAL PARAMETERS [DO (mg O2/l), BOD (mgO2/l), T. Coliform (MPN index/100ml)] FOR ALL THE STATIONS
STATION DO BOD T. Coliform
Station1 6.12 3.80 28.00
52
Station2 4.85 7.49 240.00
Station3 4.39 9.30 1100.00
Station4 4.52 8.70 240.00
Station5 5.01 12.91 240.00
Station6 5.17 11.65 93.00
Station7 5.03 7.68 210.00
Station8 5.01 14.71 43.00
Station9 4.69 14.85
Station10 4.37 17.04 93.00
Station11 4.70 10.47 210.00
Station12 4.71 10.89 1100.00
Station13 4.37 8.79 150.00
Station14 4.10 13.07 460.00
Station15 4.52 8.35 240.00
Station16 1.88 14.01 1100.00
53
During the monsoon season • DO was found to be low in all stations. • Owing to the low DO level of the water, there was a corresponding rise in the BOD. • Total coliform was found to be high in stations 3, 12 and 16 making the water unfit for
drinking or any other domestic purposes.
NUTRIENTS
Nitrite (umol/l)
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 0.41 0.15 0.10
Station 2 0.52 0.16 0.15
Station 3 0.25 0.21 0.30
Station 4 0.15 0.29 0.19
Station 5 0.24 0.22 0.20
Station 6 0.08 0.28 0.14
Station 7 0.15 0.35 0.18
Station 8 0.14 0.26 0.21
Station 9 0.23 0.25 0.40
Station 10 0.16 0.32 0.22
Station 11 0.27 0.36 0.23
Station 12 0.11 0.22 0.14
Station 13 0.19 0.21 0.15
Station 14 0.23 0.16 0.16
Station 15 0.61 0.29 0.18
54
Station 16 0.26 0.27 0.31
Phosphate(umol/l)
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 0.54 0.28
Station 2 0.44 0.45 0.23
Station 3 0.18 0.32 0.10
Station 4 0.09 0.33 0.16
Station 5 0.22 0.67 0.43
Station 6 0.07 0.43 0.10
Station 7 0.26 0.39 0.16
Station 8 0.13 0.53 0.15
Station 9 0.15 0.74 0.31
55
Station 10 0.09 1.40 0.29
Station 11 0.22 0.73 0.17
Station 12 1.00 0.29 0.20
Station 13 0.09 0.40 0.10
Station 14 0.20 0.36 1.37
Station 15 0.77 0.72 0.24
Station 16 0.41 0.59 0.23
Nitrate(umol/l)
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 30.17 6.67 23.86
Station 2 20.55 16.93 17.82
Station 3 7.50 7.37 47.55
56
Station 4 9.36 9.25 28.21
Station 5 18.76 7.00 18.43
Station 6 12.93 7.67 24.58
Station 7 11.88 2.59 17.20
Station 8 7.94 5.26 28.70
Station 9 22.67 6.78 19.51
Station 10 10.80 5.68 25.22
Station 11 1.36 1.27 20.79
Station 12 15.86 8.40 24.86
Station 13 12.04 4.44 34.26
Station 14 10.40 6.24 6.50
Station 15 13.62 4.20 33.72
Station 16 2.12 4.06 16.08
57
Chlorophyll pigments
Chl a - ug/l
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 2.74 2.60 2.07
Station 2 3.14 1.96 1.84
Station 3 3.42 2.53 1.12
Station 4 1.12 3.53 1.58
Station 5 2.81 2.95 1.36
Station 6 0.80 1.80 1.34
Station 7 2.07 2.68 1.21
Station 8 4.80 1.69 1.34
Station 9 1.87 8.47 1.12
Station 10 3.47 1.38 1.02
Station 11 1.89 7.61 3.31
Station 12 1.71 2.86 2.48
Station 13 1.08 5.13 1.25
Station 14 3.61 3.03 1.14
Station 15 1.95 3.54 1.15
Station 16 1.32 4.42 0.66
58
Chl b - ug/l
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 0.49 1.19 0.91
Station 2 1.18 1.60 1.12
Station 3 0.15 1.06 0.41
Station 4 1.69 0.16
Station 5 0.66 1.86 0.14
Station 6 0.01 1.20 0.60
Station 7 0.22 1.12 0.53
Station 8 0.88 0.24
Station 9 2.52 0.66 0.17
Station 10 0.48 0.46 0.06
Station 11 0.41 2.39 0.33
Station 12 0.55 0.78 0.89
Station 13 0.64 1.83 0.07
59
Station 14 0.30 1.55 0.34
Station 15 0.63 0.80
Station 16 0.02 2.02 0.25
Chl C - ug/l
Station Post Monsoon
Pre Monsoon Monsoon
Station 1 1.03 1.49 2.28
Station 2 0.89 1.19 1.33
Station 3 0.12 1.58 0.51
Station 4 0.18 2.44 0.61
Station 5 0.78 2.21 0.72
Station 6 3.64 1.61 0.65
Station 7 1.31 0.59
Station 8 0.32 0.40 0.89
60
Station 9 5.67 1.86 0.76
Station 10 0.21 0.12 0.97
Station 11 0.35 3.14 0.87
Station 12 1.21 1.46 1.23
Station 13 1.06 1.62 1.21
Station 14 1.29 0.56 0.78
Station 15 0.46 1.47 0.87
Station 16 0.47 1.47 0.54
61
Annexure 2
Identification and selection of low cost water purification materials
Other water purification methods
Coconut shell charcoal packed in gunny bags were immersed in polluted waters of the study
area. Coconut shell charcoal is the product obtained after carbonizing coconut shell with a
limited supply of air. (This is the raw material for the manufacture of activated carbon).The
yield varies from 25-33% of the mass of raw shell. The activated carbon is the key raw
material used for the purification of water sources and removal of organic substances.
Recently coconut shell charcoal (CSC) has been developed into one of the promising
options for heavy metal removal from contaminated wastewater (kurniawan and Sillanpaa,
2009). They have shown that the exchange/sorption properties of coconut shell are due to
the presence of some functional groups, such as carboxylic, hydroxyl, and lactone, which
have a high affinity for metal ions (Babel et al., 2004). Coconut shell, a hard and thick bony
endocarp material, which presents serious disposal problems for local environment, is an
abundantly available agricultural waste from households and local coconut industry. In
their studies, Babel et al. (2004) reported the technical applicability of coconut shell
charcoal to remove toxic chromium from contaminated wastewater. After pretreatment
with oxidizing agents, their performances are comparable to that of commercial activated
carbon.
62
Coconut shell charcoal. Coconut shell charcoal packed in gunny bags
Annexure-3
Erosion control measures- Biowall construction
The natural plant species “Neerkoova” in local dialect with botanical name Lagenandra toxicaria
was identified for the canal embankment protection work. Lagenandra thrives well in stagnant,
shallow water bodies like ponds, tanks, channels and temporary water sources like marshes, where
they dominate the submerged vegetation. Among many plants which forms the natural vegetation
along the banks of the stream, L. toxicaria was found to hold the soil tightly and prevent erosion.
Thus it was used for bank protection studies and we had obtained fruitful results.
Embank erosion Embank protection work with “Neerkoova”
63
Erosional features of the water way and bank protection works
Desilting of canals
64
Desilting work in progress in the inland waterways
Siltation of water bodies poses dangers of flash flood to the community, especially during the
monsoon seasons (Kumar, 2007). In addition, the obstructed waterways and the continuous fallow
of rice fields have created breeding grounds for disease vectors such as mosquitoes and rodents
respectively (MSSRF 2007). Therefore desilting was a necessity as part of the cleaning up of the
canals. Desilting was done by manually removing the silt from the canals. This was done along the
entire stretch of the study area. Desilting improved the water movement through the canals,
prevented floods and made them fit for inland transportation. The idea has been implemented in
the present study based on the reports that Rs. 36 crores have been earmarked for desilting the
canals, rivers, tanks and other water resources under the Kuttanad package designed by the famous
agricultural scientist M. S. Swaminathan (MSSRF Annual report, 2009).
Control of water weeds
Organic wastes accumulating in the water bodies give rise to eutrophication that leads to
proliferation of water weeds like Salvinea and Eichornia. The Thanneermukkom barrage can be cited
as the major reason for the explosive growth of alien aquatic weeds, due to a shift in the salinity
gradient towards north of the bund. Other than saline water pumping, there has been no effective
method for removal of these water weeds. Therefore, water weeds were also removed manually
and the collected weeds were dumped under coconut trees in plantations. It is believed that these
water weeds retain moisture in the surface soil for longer duration saving efforts of frequent
watering. The women self-help groups were educated about using water weeds as a supplementary
65
substrate in addition to hay for the cultivation of mushrooms, but the study remained at the
experimental level itself.
Annexure 4 Phytoremediation
Phytoremediation was tried as a low cost method for water purification. Phytoremediation is the use
of living green plants for in situ risk reduction and/or removal of contaminants from contaminated
soil, water, sediments, and air. One of the main advantages of Phytoremediation is that of its
relatively low cost compared to other remedial methods. Vetiver System was first developed by the
World Bank for soil and water conservation and now being used in over 100 countries. In this study
also, Vetiver grass was cultivated and transplanted into the polluted canals. This was selected on the
basis of the review on Vetiver system ecotechnology for water quality improvement and
66
environmental enhancement by Lavania et al. (2004). The Vetiver System (VS) is a system of soil and
water conservation whose main component is the vetiver plant Chrysopogon zizanioides - formerly
Vetiveria zizanioides. This plant, commonly known as vetiver grass, is a clump grass originating in
south India. There are many cultivars of vetiver grass but those originating in south India are sterile
and non invasive. The Vetiver grass will tolerate high levels of nitrates, phosphates, heavy metals,
and agricultural chemicals. The Vetiver Grass System is low cost and efficient system for erosion
control and water conservation, soil stabilization, pollution control, waste water treatment,
mitigation and prevention of storm damage and many other applications. Vetiver grass was
transplanted into vetiver grass pots. After letting them harden for a while, the potted grass were
replanted onto cut bamboo floats. Being hydrophytic, the plants do not require a separate medium
to grow in water. The only arrangement required to make vetiver plants survive in water properly is a
float to maintain the balance between roots and shoot and to make the plant stand erect. In the
present study, coir ropes were wound criss-cross in the bamboo frames and the seedlings were
transplanted onto this float. These floats were put in the polluted canals and it was found that the
water quality improved within 40 days period (table V1 and V2)
Vetiver grass cultivation Bamboo floats with vetiver plants introduced in canals
Water purification studies were conducted in selected stations of the study area i.e., stn. 3 and 7.
Station 7 was selected as a representative station to conduct embankment protection studies along
with the water purification studies, as it was in the centre of the study area. Station 3 was selected
based on the convenience of transplanting the floats from nurseries to the site.
TABLE V1. Effect of phytoremediation using Vetiver on water sample from stn.3 for 40days
TABLE V2. Effect of phytoremediation using Vetiver on water sample from stn.7 for 40days
treatment
Parameter Pre-treated
(20/2/09)
Vetiver (Post treated) (31/3/09)
COD(mg/l) 112 96
BOD(mg/l)
0.326531
0.326531
DO(mg/l) 0.979592 ---
Phosphate (umol/l) 0.374 0.374
nitrite umol/l 0.09 0.085
Ammonia umol/l 48.45 43.22
Potassium mg/l 2.3 2.3
Sodium mg/l 102.5 98
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Annexure 5
Awareness campaigns
Total of 4 awareness campaigns were conducted in the study area against the indiscriminate
dumping of wastes and highlighting the need to protect the water.
69
Date Details of programme conducted
Location where the programme was held
Local organisations involved in the programme
27-10-2007 Seminars, poster exhibition, video show, quiz contest and slogan contest for school and college students.
Cherupushpam Parish Hall (Stn. 5)
Arpookara Grama Vikas Kendra
Yuva Deepthi Christian community organisation
18-5-2008 Clean-up campaign Entire study area (Stn. 1-16)
22-5-2008 Solid waste management by ‘Vermicomposting’.
Between stn. 2 and 3 Rajagiri ‘Outreach’ Service Society, Ernakulam
22-4-2009 ‘Jala sandesa yatra’ Entire study area (Stn. 1-16)
Local administration
Self-help groups
1) A one-day awareness campaign on the protection of waterways and wetlands was held on Saturday, 27 October 2007, at Cherupushpam Parish Hall in the project area, with the cooperation of the local administration and the Arpookara Grama Vikas Kendra, Yuva Deepthi and other community organisations in and around this region. Programme comprised of seminars, poster exhibition, video show, quiz contest and slogan contest for school and college students. Prominent personalities from different disciplines of life in the region and Dr. P. S. Joseph, Executive Director of the Centre for Earth Research and Environment Management (CEREM) made felicitatory talks on the occasion. Prof. N.R. Menon, eminent Marine Biologist (former Director, School of Marine Sciences, Cochin University of Science and Technology delivered a lecture on the topic ‘Issues and solutions in the Vembanad backwater and connected
70
water bodies’. The programme was well attended by the public and students from the nearby schools and colleges.
Inauguration Inaugural talk
Lecture by Prof. N. R. Menon Quiz programme
71
Prize distribution – slogan contest Prize distribution – slogan contest
2) A waterway cleanup campaign was also organised in May 2008 to educate the people of the dangers in dumping wastes into the adjacent waterbody and to create an awareness in them about the need to conserve the water body. During this period, the participants of this cruise collected and removed large quantity of solid wastes, especially plastic carry bags and bottles weighing approximately 75kgs along the stretch of the canal.
Waterway clean up campaign Journey of “clean water “message
3) In the same month, on 22nd May 2008, another public awareness programme was conducted on solid waste management, with emphasis on vermicomposting. Ms. Treesa, a consultant of Rajagiri OUTREACH Service Society, Ernakulam conducted class on vermicomposting. She demonstrated how the bio-wastes like vegetable waste, paper, cattle feed waste etc are fed into the terracotta bio-compost tanks, how they are pre-treated to make the environment conducive for the growth of earthworms and how the tanks are maintained without any damage to the worms. The compost would be ready after 40 days of treatment in the tanks.
72
Ms. Treesa taking class Audience attending waste management class
Vermicompost class in progress Terracotta vermicompost tank with lid. 4) An awareness campaign entitled ‘Jala sandesa yatra’ (journey with a message for
water conservation) was conducted, with the cooperation of local administration, self help groups and student communities in the area. The procession was flagged off by Mr.Thomas Chazhikadan, the Hon. Member of Legislative Assembly of Kerala Government. The procession in country canoes through the inland waterway spread the message on the importance of water protection in a changing environment to improve health conditions. Handouts and pamphlets were distributed to communities in the region on different steps needed to taken for curtailing the spread of communicable diseases in the region.
73
Awareness campaigns helped in educating the locals the need for conservation of the
waterbodies. Adoption of solid waste management measures and phytoremediation in
selected areas of the study region has helped in bringing down the rate of aquatic
pollution. There has been considerable improvement in the water quality after the
implementation of these conservative measures. (Section 3.1.2.3).
74
Annexure 6: Geospatial analysis
Suitability area assessment of water quality parameters, its causes and remedies-
BOD
As far as BOD is concerned <10 mg/l is considered to be suitable for life existence according
to the International standards. So it can be observed that 56.83% of area of river in pre-monsoon,
24.45% in monsoon and all the areas in post monsoon is showing the BOD values above 10 mg/l. It
shows that the Biological Oxygen Demand is very high in post monsoon and is very low in monsoon
season. To prepare suitability areas of BOD the pre-monsoon, Monsoon and Post monsoon maps are
spatially overlaid.
75
From the overlaid map it is understood that nowhere in the river we are getting suitability zones in
all the three seasons and it can also be noticed that the moderately suitable areas having 88.55% of
total area of the river.
COD
COD values in all the seasons are all above advisable limit (>5mgo2/l) which shows the worse
scenario of the basin.
76
DO
90.45% of total area of the river in pre-monsoon, 37.23% of monsoon and all the areas in post
monsoon have less than 4 mg/l Dissolved Oxygen. This shows that DO is higher in Monsoon and very
low in post monsoon.
77
E. coli
The E. coli status shows that in pre-monsoon season 55.34% of total area is in suffer side
(<1000MPN index/100ml) and the rest in the unsafe. All the other seasons the E. coli distribution is
within the permissible limit.
Results and discussion
From the observations obtained from the GIS spatial analysis and field investigations it is very much
clear that the canals of Meenachil river even though looks clear for the naked eye facing high threat
for its life existence.
78
The spatial distribution of all the parameters is overlaid. From the overlaid map it is understood that
10.01% of the total area of the selected river portion is falling in the unsuitable zone and rest is in
moderately suitable zone.
It can be noticed that in the majority of unsuitable area the Ecoli status is moderately suitable and
some area it is suitable shows that the cause of pollution is not mainly by ecoli but by some other
reasons. From the field observation it’s very much clear that waste disposal is the main cause of
pollution. The plastic waste disposal and almost flat nature of the terrain will decelerate the self
purifying capacity of the river.
A buffer zone of 500m is generated around the unsuitable zone and overlaid on the landuse map.
From the overlay analysis it is understood that the buffer zone falls mainly on the settlement with
mixed crop, rubber and mixed crop. This shows that the source of pollutants is mainly concentrated
in this region. The absence of unsuitable zone near to paddy region indicates the power of clay in
paddy fields to reduce the adverse effect of pollutants. So it is very much understood that the clayey
and clayey lateritic terrains are important to purify the river and point towards the importance of
rejuvenation of clayey and lateritic terrains. This can only be achieved by planting trees especially on
the tropical lateritic terrains.
79
80
81
82
Annexure 7- BIODIVERSITY STUDIES
An assessment of the biodiversity of the study area was conducted based on the catch obtained by
local community. It was found that the improvement in water quality has resulted in
reviving the population of certain species of fishes whose numbers were steadily decreasing
with the deterioration of water quality.
Listed below are the fauna of the study region.
Scientific name Vernacular name (Malayalam)
Remarks
Labeo dussumieri Pullen Catch improved after water purification expts.
Danio malabaricus Paral Most dominant
Channa striatus Varaal Most dominant
Anabas testudineus Chempalli Less in numbers
Channa orientalis Vatton Available
Channa marulius Cherumeen Most dominant
Xenentodon cancila Kolan Catch improved after water purification expts.
Aplocheilus lineatus Poonjan Most dominant and distributed throughout the study area
Wallago attu Vaala Less but available at certain locations
Puntius sarana Kuruvaparal Catch improved after water purification expts. Especially in polluted spots.
Penaeus indicus Thelli Less, but improved availability
Xenochrophis piscator Neerkoli Increased
Macrobrachium Konchu Less, but availability increased.
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Appendix-2 -Pictures
The following pictures depict the environmental issues described above.
Ground water level during and after southwest monsoon (flood) 2007
88
The region during and after the floods in 2007
Country canoes-cheap way of inland transportation, fishing activity
Duck farming Agriculture
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Abstraction of contaminated water for domestic use
Water contamination due to waste dumping and waste water outflow
Acknowledgement
NERCI and CEREM gratefully acknowledge UNEP-APFED programme, 2010 for the financial support received for the conduct of this study.