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Raj M. P, Philip R. S. Unravelling the Seasonal Dynamics of Limnological Parameters and Assessment of Ecological Health: A Case Study of Lingadheeranahalli Lake in Bangalore North, Karnataka, India. Biotech Res Asia 2024;21(3).
Manuscript received on : 13-05-2024
Manuscript accepted on : 19-09-2024
Published online on:  03-10-2024

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Reviewed by: Dr. Hiren B. Soni

Second Review by: Dr. Neha Jamwal

Final Approval by: Dr. Md Sarwar Hossain

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Unravelling the Seasonal Dynamics of Limnological Parameters and Assessment of Ecological Health: A Case Study of Lingadheeranahalli Lake in Bangalore North, Karnataka, India

Mathews P. Raj1* and Reena Susan Philip2

1Department of Microbiology and Botany, School of Sciences. JAIN Deemed to be University, Bangalore, India

2Department of Forensic Sciences, School of Sciences. JAIN Deemed to be University, Bangalore, India

Corresponding Author E-mail:pr.mathews@jainuniversity.ac.in

DOI : http://dx.doi.org/10.13005/bbra/3288

ABSTRACT: The present study investigates the seasonal dynamics of limnological variables and the developmental response of D. rerio in the wetland ecosystem of Lingadheeranahalli in the northern clutches of Bangalore in Karnataka. Once a vital water source for agriculture and replenishing groundwater, the lake faces degradation due to anthropogenic activities and the need for more awareness. A yearlong analysis was conducted with five sampling seasons and three sampling stations identified within the wetland. Parameters viz. physical, chemical, and biological were analyzed following American Public Health Association (APHA) guidelines. Somite development was studied using embryos while the heart rate was counted during the torpedo stage of D. rerio. The results of this comprehensive study revealed unique and significant seasonal variations over limnological parameters, providing novel insights into the dynamics of the wetland ecosystem. pH values are slightly acidic and influenced by precipitation and terrestrial vegetation. Turbidity spiked during winter due to colloidal dispersions, while conductivity peaked in spring due to sewage disposal. Reduced dissolved oxygen, high biochemical and chemical oxygen demand indicated organic pollution and microbial activity, particularly affecting the inlet station. Elevated phosphate and nitrate levels in spring indicated eutrophication potential. The influence of rains and mineral leaching during monsoons affected parameters such as alkalinity, total dissolved solids, total hardness, and Magnesium. Analysis of D. rerio demonstrated delayed development and decreased heart rates in the inlet and deposit stations, indicative of potent stressors in the wetland ecosystem. All-inclusive Lingadheeranahalli Lake exhibited poor water quality, focusing on the need for adaptive management strategies to mitigate pollution and safeguard wetland ecosystems. Continued wetland research gives more insights into water quality and seasonal dynamics, paving the way for its conservation.

KEYWORDS: Bangalore North; Lingadheeranahalli Lake; Limnology; Wetland ecology; Zebrafish Development

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Raj M. P, Philip R. S. Unravelling the Seasonal Dynamics of Limnological Parameters and Assessment of Ecological Health: A Case Study of Lingadheeranahalli Lake in Bangalore North, Karnataka, India. Biotech Res Asia 2024;21(3).

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Raj M. P, Philip R. S. Unravelling the Seasonal Dynamics of Limnological Parameters and Assessment of Ecological Health: A Case Study of Lingadheeranahalli Lake in Bangalore North, Karnataka, India. Biotech Res Asia 2024;21(3). Available from: https://bit.ly/3ZXzmxc

Introduction

Lakes, a precious resource on our planet, are subjected to continuous chemical change due to the inflow and outflow of materials. Reduced mobility and increased sedimentation contribute to high biological activity1. These lakes hold significant economic value, providing food through fish and aquatic products 2. Bangalore, the capital city of Karnataka in southern India, was renowned for its serene lakes and landscapes. However, the city’s unplanned development has caused a gradual decline of these wetlands that play a significant role in supplying water for irrigation and drinking, supporting fish culture, replenishing groundwater, and mitigating natural calamities3. A balanced environment maintains the effectiveness of the water quality, encompassing the physical, chemical, and biological variables within these inland water resources4. Rapid urbanization, anthropogenic activities, and dumping of untreated sewage and waste have led to the degradation of lakes, reducing them into cesspools5.  The weathering of rocks generates ions within the catchment area that serve as natural pollutants6. Lake chemistry is reflected in the seasons and catchment characters7. These wetlands quickly pile pollutants from various industrial and domestic sources, leading to the deterioration of water quality and loss of biodiversity, making them a fragile ecosystem8.

The limnological approach to assess physical, chemical, and biological variables comprehends a region’s water quality and seasonal landscape9,10. Declining water quality causes increased waterborne diseases and disrupts the sustenance of an ecosystem11,12. Solid waste disposal causes havoc in water percolation and impacts groundwater recharge13. Population outbreaks, sewage discharge, and agricultural practices have resulted in the inflow of nutrients within these lakes, causing drastic eutrophication and creating an imbalance in natural functioning14, 15. Variations in water quality parameters compromise the ecological health of these wetlands and signify the influence of urbanization16. Parameters such as Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), and Chemical Oxygen Demand (COD) help researchers understand the pollution levels of lakes17. In addition, the Most Probable Number analysis focuses on microbial ecology18. Overgrowth of aquatic weeds like Eichorrnia crassipes has degraded these inland water resources19. These indicate the threatened survival of lakes and call for immediate conservation efforts20. Physico-chemical and microbial analysis of a few lakes in Bangalore emphasizes immediate conservation13.

Using the vertebrate model system, zebrafish (Danio rerio) provides valuable insights to assess the ecological health of a water body10. Organic and inorganic pollutants accumulate within the fish organs, leading to structural abnormalities21, 22, 23. Thus, ecological responses and their influence on heart rate, behavior, physiology, and neurotransmission can be assessed24, 25, 26. The integration of limnological analysis and D. rerio assessments has proven to be a valuable tool in monitoring the ecological health of a lake and has alerted sustainable water management 24. In this context, the present research aims to understand the water chemistry, its influence over seasons, and its impact on a biotic system focusing on three grab sampling stations named Open surface (O), Deposit (D), and Inlet (I) over a time frame of one year in the distinct setting of Lingadheeranahalli Lake located in north Bangalore.

Materials and Methods

Study area – Lingadheeranahalli Lake

Lingadheeranahalli Lake is a small wetland near the D group employee’s layout in Bangalore North. It is 870 meters long and located at 13.0035° N latitude and 77.4827° E longitude. The lake offers walkers a pathway and a serene landscape for nearby residents. Mongooses, peacocks, and snakes are frequent sights in and around the lake.

Limnological Assessments

Water samples were collected, and limnological sampling was conducted between June 2022 and July 2023. Three sample stations were marked within the lake, namely, Open Surface (O), characterized by its direct atmospheric exposure and minimal obstruction at 13.003° N latitude and 77.482° E longitude. Deposit (D) station marked for high sedimentation and plant growth with coordinates 13.002° N latitude, 77.482° E longitude, and Inlet (I) station where treated water is discharged into the water body located at 13.002° N latitude, 77.483° E longitude. Water samples were analyzed in triplicates, and the mean value was considered. Temperature, humidity, and pH were measured on-site, and dissolved oxygen (DO) was fixed at the site. Water samples were collected in sterilized bottles and further transported to the laboratory for subsequent analysis of chemical and biological parameters. American Public Health Association 27 standard procedures were followed to analyze various parameters.

Physical Parameters

Physical parameters such as pH, temperature, atmospheric humidity, turbidity, and conductivity were measured using calibrated instruments such as a pH meter, thermometer, hygrometer, turbidimeter, and conductivity meter. The total dissolved solids were measured using a TDS meter.

Chemical Parameters

Dissolved oxygen (DO) was fixed at the site using manganous sulfate and measured using a DO meter. Biochemical oxygen demand (BOD) was determined via the DO meter and Winkler’s method. The ferrous ammonium sulfate method was used to measure Chemical oxygen demand (COD). Alkalinity, total hardness, calcium, and magnesium levels were determined using titration. Sodium and potassium were measured using a flame photometer. The silver chloride method was used to detect chlorides, the barium chloride method was used to quantify sulfate, phosphate concentration was analyzed using the Fiske Subbarow method, and a UV spectrophotometer was used to screen nitrates. Prescribed techniques outlined in APHA 2017 were followed.

Most Probable Number (MPN) Analysis

MPN analysis was conducted to detect the presence of coliforms in the water sample utilizing standardized techniques 28.

Statistical Validation

Descriptive statistics, mean and standard deviation, were determined for the physical, chemical, and biological parameters. Data distribution was measured using the Shapiro-Wilk and Kruskal-Wallis tests, following which the post-hoc analysis was conducted using the Dwass-Steel-Critchlow-Fligner (DSCF) comparison.

Zebra Fish Analysis

Aquaculture and Spawning

D. rerio and its embryos were chosen as the model organism and its embryos because of their genetic relatability to humans and the advantage of having transparent embryos 26. Healthy D. rerio was maintained in temperature-regulated aquarium tanks with good ventilation and lighting.  Spawning was facilitated during the day with a male and three female fishes confined in breeding tanks equipped with a mesh 29. Fresh embryos collected were used for developmental assessments and to count the heartbeat.

Experimental Setup

Three embryos were introduced into small glass tanks with Reverse osmosis (RO) water; like-wise, three were introduced into the lake water samples from the three stations. Embryos treated within the RO water setup were considered a control sample.

Embryo Analysis

Vital characteristics, such as tube formation, somite development, and overall embryo structure, were examined using a compound microscope in the control and test sample setups. Heartbeat was counted during the torpedo stages 30, 25.

Results

Seasonal pH, temperature, humidity, and alkalinity variation for the three sampling stations are recorded in Table 1.

Table 1: Seasonal variation in pH, temperature, humidity, and alkalinity for the sampling station Open Surface water, Deposit, and Inlet sampled between June 2022 and July 2023

PARAMETER/SAMPLING STATION Open MONSOONJuly – September AUTUMNOctober – November WINTERDecember- January SPRINGFebruary- March SUMMERApril – June
pH 5.83±0.52 6.09±0.36 6.18±0.52 6.13±1.45 6.13±0.33
Temperature 25.83±0.76 26.17±0.47 22±0.76 25.70±1.27 30.27±1.32
Humidity 59.67±2.89 65.00±7.07 35.60±2.89 37.40±1.70 42.27±10.46
Phenolphthalein alkalinity 0.00 0.00 0.00 2.50±3.54 0.00
Methyl Orange alkalinity 69.33±46.70 49.67±27.81 35.00±46.70 67.00±60.81 68.00±10.58
Hydroxide alkalinity 0.00 0.00 0.00 0.00 0.00
Carbonate alkalinity 0.00 0.00 0.00 5.00±7.07 0.00
Bicarbonate alkalinity 69.33±46.70 49.67±27.81 35±46.70 62±53.74 68±10.58
PARAMETER/SAMPLING STATION Deposit
pH 5.90±0.64 5.96±0.09 5.74±0.12 6.46±0.45 6.37±0.76
Temperature 25.57±0.75 25.73±0.24 21.65±0.35 26±0.57 30.33±1.02
Humidity 66.23±4.76 72±4.24 37.15±0.92 38.90±0.42 41.40±11.21
Phenolphthalein alkalinity 0.00 0.00 0.00 0.00 8.00±13.86
Methyl Orange alkalinity 66.67±46.19 48.33±25.93 20±14.14 52.50±31.82 66.67±37.86
Hydroxide alkalinity 0.00 0.00 0.00 0.00 0.00
Carbonate alkalinity 0.00 0.00 0.00 0.00 16.00±27.71
Bicarbonate alkalinity 66.67±46.19 48.33±25.93 20±14.14 52.50±31.82 50.67±11.02
PARAMETER/SAMPLING STATION Inlet
pH 5.73±0.60 6.09±0.50 5.89±0.12 6.88±0.30 6.39±0.45
Temperature 25.50±0.62 25.60±0.14 21.55±0.21 25.90±0.28 29.90±1.15
Humidity 64.53±2.84 73±7.07 40.25±0.64 39.90±2.40 43.83±8.94
Phenolphthalein alkalinity 0.00 0.00 0.00 7.50±10.61 0.00
Methyl Orange alkalinity 122.67±76.04 77.33±64.11 23±4.24 82±2.83 127.33±50.21
Hydroxide alkalinity 0.00 0.00 0.00 0.00 0.00
Carbonate alkalinity 0.00 0.00 0.00 15±21.21 0.00
Bicarbonate alkalinity 122.67±76.04 77.33±64.11 23±4.24 67±24.04 127.33±50.21

The mean values for limnological parameters and the standard deviation for various seasons and sampling stations are represented in Figures 1- 4, respectively.

Figure 1: Graphs representing turbidity, conductivity, and total dissolved solids for the sampling station Open Surface water, Deposit, and Inlet sampled between June 2022 and July 2023

Click here to view Figure

Figure 2: Graphs representing dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand for the sampling station open surface water, deposit, and inlet sampled between June 2022 and July 2023

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Figure 3: Graphs representing total hardness, dissolved oxygen saturation percentage, calcium, and magnesium for the sampling station open surface water, deposit, and inlet sampled between June 2022 and July 2023

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Figure 4: Graphs representing anions for the sampling station open surface water, deposit, and inlet sampled between June 2022 and July 2023

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Data statistically validated through the Kruskal Wallis test for turbidity and MPN showing significance for the sampling stations are depicted in Table 2.

Table 2: Kruskal Wallis Statistics indicating significance for Turbidity and Most Probable Number MPN Test *p<0.05

Variables Sample Station N Mean SD Kruskal-Wallis
Turbidity  Deposit 12 5.86 4.46 8.91*
Inlet 12 29.33 31.43
Open Water 12 4.31 4.11
MPN index Deposit 12 691.67 1076.58 8.30*
Inlet 12 854.25 1141.97
Open Water 12 67.67 67.85

Table 3 represents pair-wise comparisons done through the Dwass Steel Critchlow Fligner (DSCF) post hoc test for turbidity and MPN index analysis between sampling stations.

Table 3: Dwass-Steel-Critchlow-Fligner pairwise comparisons for Turbidity and MPN Index *p<0.05

Turbidity MPN index
Pair Wise Comparison W p Pair Wise Comparison W p
Deposit Inlet 3.19 0.062 Deposit Inlet 2.87 0.106
Deposit Open Water -1.23 0.660 Deposit Open Water 2.01 0.330
Inlet Open Water -3.84 0.018 Inlet Open Water -4.02 0.012

Table 4 depicts significant data **p<0.001 and *p<0.05 for seasons through the Kruskal Wallis test for various limnological parameters. Table 5 represents pairwise season comparisons for various limnological parameters done through DSCF post hoc analysis **p<0.001 and *p<0.05. Table 6 represents the somite embryonic development stage of D. rerio. Figure 5 graphically represents the heartbeat changes recorded in D. rerio.

Table 4: Kruskal Wallis Statistics indicating significance for various limnological parameters **p<0.001 and *p<0.05

Significance **p<0.001
Variables Seasons N Mean SD Kruskal-Wallis
Temperature Autumn 6 25.83 0.36 27.73**
Monsoon 9 25.63 0.64
Spring 6 25.87 0.65
Summer 9 30.17 1.03
Winter 6 21.73 0.42
Humidity Autumn 6 70.00 6.23 26.72**
Monsoon 9 63.48 4.30
Spring 6 38.73 1.74
Summer 9 42.50 8.94
Winter 6 37.67 2.27
Total Hardness Autumn 6 274.56 39.92 26.69**
Monsoon 9 272.44 55.58
Spring 6 54.67 16.57
Summer 9 72.44 23.74
Winter 6 72.50 19.43
Calcium Hardness Autumn 6 26.91 7.01 21.87**
Monsoon 9 31.82 13.80
Spring 6 9.60 1.60
Summer 9 78.58 46.21
Winter 6 29.17 11.46
Magnesium Hardness Autumn 6 247.64 42.62 28.1**
Monsoon 9 240.62 57.83
Spring 6 45.07 16.18
Summer 9 -6.13 46.64
Winter 6 43.33 26.79
Phosphates Autumn 6 0.09 0.03 18.99**
Monsoon 9 0.07 0.06
Spring 6 1.10 0.53
Summer 9 0.39 0.29
Winter 6 0.48 0.51
Nitrates Autumn 6 1.19 0.94 28.98**
Monsoon 9 0.91 0.19
Spring 6 3.95 2.37
Summer 9 0.11 0.27
Winter 6 2.30 0.09
Significance *p<0.05
Variables Seasons N Mean SD Kruskal-Wallis
Conductivity Autumn 6 504.89 196.87 17.78*
Monsoon 9 558.44 468.39
Spring 6 1001.83 350.56
Summer 9 859.22 301.64
Winter 6 368.83 89.69
DO Autumn 6 1.80 1.48 10.75*
Monsoon 9 2.13 2.74
Spring 6 4.18 1.58
Summer 9 4.28 2.28
Winter 6 4.55 1.64
BOD Autumn 6 -5.84 7.12 14.9*
Monsoon 9 0.19 1.82
Spring 6 2.18 0.73
Summer 9 1.82 2.18
Winter 6 0.43 1.06
COD Autumn 6 63.47 23.36 15.34*
Monsoon 9 78.93 48.90
Spring 6 153.50 22.00
Summer 9 101.07 89.44
Winter 6 282.67 120.44
Methyl Orange alkalinity Autumn 6 58.44 36.41 11.72*
Monsoon 9 86.22 57.21
Spring 6 67.17 33.43
Summer 9 87.33 43.78
Winter 6 26.00 10.20
Bicarbonate alkalinity Autumn 6 58.44 36.41 11.62*
Monsoon 9 86.22 57.21
Spring 6 60.50 30.64
Summer 9 82.00 43.60
Winter 6 26.00 10.20
Total Dissolved/Settleable Solids Autumn 6 253.83 98.31 17.84*
Monsoon 9 279.67 235.15
Spring 6 496.83 176.12
Summer 9 431.67 152.79
Winter 6 184.83 44.70
Potassium Autumn 6 0.14 0.30 10.76*
Monsoon 9 0.39 0.69
Spring 6 0.00 0.00
Summer 9 0.09 0.07
Winter 6 0.00 0.00
Chlorides Autumn 6 33.69 23.36 10.21*
Monsoon 9 54.59 22.09
Spring 6 81.89 3.00
Summer 9 54.12 26.20
Winter 6 54.43 23.19

Table 5: Dwass-Steel-Critchlow-Fligner pairwise comparisons for various limnological parameters **p<0.001 and *p<0.05

Temperature Nitrates
Season Season W p Season Season W P
Autumn Summer 4.500 0.013 Autumn Spring 4.08 0.032
Autumn Winter -4.083 0.032 Autumn Winter 4.08 0.032
Monsoon Summer 5.060 0.003 Monsoon Spring 4.50 0.013
Monsoon Winter -4.508 0.013 Monsoon Summer -5.06 0.003
Spring Summer 4.500 0.013 Monsoon Winter 4.50 0.013
Spring Winter -4.083 0.032 Spring Summer -4.50 0.013
Summer Winter -4.504 0.013 Summer Winter 4.50 0.013
Humidity Magnesium Hardness
Autumn Spring -4.083 0.032 Autumn Spring -4.076 0.032
Autumn Summer -4.500 0.013 Autumn Summer -4.504 0.013
Autumn Winter -4.076 0.032 Autumn Winter -4.076 0.032
Monsoon Spring -4.516 0.012 Monsoon Spring -4.500 0.013
Monsoon Summer -5.065 0.003 Monsoon Summer -5.060 0.003
Monsoon Winter -4.512 0.012 Monsoon Winter -4.500 0.013
Conductivity Bicarbonate alkalinity
Spring Winter -4.076 0.032 Monsoon Winter -3.865 0.049
Summer Winter -4.167 0.03 Summer Winter -4.425 0.015
BOD Total Hardness
Autumn Spring 4.076 0.032 Autumn Spring -4.0833 0.032
COD Autumn Summer -4.5081 0.013
Autumn Spring 4.120 0.029 Autumn Winter -4.1050 0.030
Methyl Orange alkalinity Monsoon Spring -4.5081 0.013
Monsoon Monsoon -3.865 0.049 Monsoon Summer -5.0654 0.003
Summer Monsoon -4.425 0.015 Monsoon Winter 4.5202 0.012
Total Dissolved/Settleable Solids Calcium Hardness
Spring Winter -4.076 0.032 Autumn Spring -4.120 0.029
Summer Winter -4.167 0.027 Autumn Summer 3.851 0.051
Chlorides Monsoon Spring -4.512 0.012
Autumn Spring 4.0762 0.032 Spring Summer 4.512 0.012
Phosphates Spring Winter 3.984 0.039
Autumn Spring 4.08 0.032 Chlorides
Monsoon Spring 4.52 0.012 Autumn Spring 4.0762 0.032

The pH of the lake water showed significant seasonal variations; a low pH of 5.73 ± 0.60 was recorded in the inlet station during the monsoon, while the highest was observed in the spring (6.88 ± 0.30). The pH remained slightly acidic throughout the year. The temperature of the study site that is deposit recorded the lowest temperature of 21.55 ± 0.21°C due to high plant growth, while the open water station recorded the maximum temperature of 30.33 ± 1.02°C. A usual seasonal trend in temperature was observed across all stations. The lowest humidity of 35.60 ± 2.89 was recorded during the winter in the open station, while the highest of 73 ± 7.07 was recorded during the autumn in the inlet. The water remained turbid throughout, and the lowest and highest levels were noticed during winter. 1.00 ± 7.23 NTU was recorded in the open station, and the inlet was recorded with 80 ± 36.77 NTU. The conductivity of water highlights salinity and dissolved ion concentration; the lowest conductivity was recorded during the winter in the inlet station (340 ± 70.71 µS/cm), while the highest (1314 ± 528.92 µS/cm) was also in the inlet during the spring.

The inlet recorded the lowest DO of 0.53 ± 0.92 mg/L during the monsoon, while the open station showed 5.50±0.28 mg/L during the spring. Overall, the DO of the wetland was found to be lesser than the APHA standard values. The saturation percentage of DO is represented in Figure 4; the percentage of DO saturation fluctuates across seasons and sampling stations, Peaking in spring (67.9%) and dipping in autumn (42.83%) in the open station. An increase in DO was seen during the winter (60.91%). It was low during the autumn (14.44%) in the deposit station, while in the inlet station, the highest was in summer (68.02%) and the lowest was during the monsoon (6.54%). BOD significantly varied within the lake. High organic pollution and high microbial activity were observed. A negative BOD was seen in all three stations during the autumn, indicating oxygen surplus due to microbial load, while a high BOD of 3.10 ± 3.28 mg/L was recorded in the inlet station. All stations recorded a very high COD exceeding the permissible limits, indicating pollution throughout all seasons. High COD was observed during the spring, while the highest of 384 ± 45.25 mg/L was recorded with the inlet station during winter. Alkalinity due to hydroxides was zero across all seasons and stations; carbonate alkalinity was recorded in the open 5.00±7.07 mg/L and inlet 15±21.21 mg/L stations during the spring, 16.00±27.71 mg/ L was recorded during the summers in the deposit station. Majorly, alkalinity was due to bicarbonates across seasons, with the highest range between 122.67±76.04 – 127.33±50.21 mg/L during the monsoon and summer in the inlet station. At the same time, low values were recorded during the winter.

The total hardness was within the permissible range during the winter, spring, and summer. In contrast, it increased during the monsoon and autumn. 324±31.75 mg/L was the highest value recorded in the inlet station. TDS was within the permissible value in the open and deposit station, while in the inlet, it surpassed the permissibility with values ranging between 171±32.53 mg/l and 658±265.87 mg/L. High values were recorded during the spring across all stations. Calcium ions increased during the spring and summer, with the highest value of 93.33±38.44 mg/L recorded in the open station and the lowest of 9.20±1.70 mg/L recorded in Deposit and inlet stations. 50mg/L being the permissible limit as per APHA, the wetland recorded very high magnesium content during the monsoon and the autumn, with values ranging from 172.13±42.20 to 290.40±11.78 mg/L. Sodium and potassium levels remained consistently low across all seasons. Chloride concentrations were within the APHA standards; values increased during the spring. 83.09±0.98 mg/L was the maximum value recorded in the inlet station, while the lowest of 28.16±29.79 mg/L was seen in the deposit. Sulfate concentrations ranged between 8.32±6.98 mg/L and 34.92±25.38 mg/L, within the permissible limit (400 mg/L) as per APHA.

Nitrate concentrations were within the permissible value. A slight increase was found during the spring, with a maximum value of 5.36±4.29 mg/L recorded in the open station. Phosphate concentration ranged between 0.05±0.05mg/L to 1.33±0.30mg/L, with 0.05mg/l being the permissible value the open surface water recorded highest during the autumn. A low MPN index was observed during the spring and the summer, while MPN values exceeded the permissible range during the monsoon, with the Deposit and the inlet station showing the highest values. Significant variations between sampling stations and across seasons were observed through Kruskal Wallis statistics.

Table 6: Effect of lake water on somite embryonic developmental stage of the D. rerio

LINGADHEERANAHALLI SAMPLING STATIONS SOMITE DEVELOPMENTAL STAGE D. rerio
CONTROL 16 HOURS – 14 SOMITE
OPEN 16 HOURS – 14 SOMITE
DEPOSIT 16 HOURS – 14 SOMITE
INLET 16 HOURS – 10 SOMITE

Somite developmental stages and heart rates in D. rerio embryos showed the following results. The embryos reached the 14th somite stage after 16 hours in the open and the deposit station, similar to the control, while embryos reached only the 10th somite stage in the inlet station. This delay in growth is due to pollutants. The heart rate recorded was 125 bpm in the control and 96-102 bpm in the open station. A gradual decrease in the number of beats (90-97 bpm) was recorded in the deposit station, while the inlet station recorded a drastically meager heart rate (64 bpm).

Figure 5: Effect of lake water on Heartbeat count in D. rerio Note: bpm stands for Beats per MinuteClick here to view Figure

Discussion

The study on Lingadheeranahalli Lake revealed significant seasonal dynamics insights into its physicochemical parameters and the developmental responses of D. rerio. Similar studies on other urban lakes have shown comparable trends. Seasons and anthropogenic activities have affected water chemistry. The pH of the lake water showed significant seasonal variations overall. The pH across all sampling stations remained slightly acidic throughout all seasons. Reduced water content and over vegetation were noticed in the study area. Previous studies indicate that drought or reduced water content results in the acidification of lake water 31, and inundated terrestrial vegetation can result in acidic pH 32. Previous studies on Sankey Tank Mallathahalli Lake in Bangalore have similar findings. A usual seasonal trend in temperature was observed across all stations. Season trends are forecasted for freshwater wetlands33, 34.

Humidity is attributed to water quality imbalance 35. The findings suggest higher humidity during autumn and summer; previous research suggests that the higher the temperature, the higher the moisture 36. Water turbidity consistently remained high, peaking during the winter. This is attributed to colloidal dispersions, common in lake ecosystems 13 and could be the reason for the study sites. Water conductivity was the lowest during the winter and the highest in the inlet during the spring. The peak in conductivity is due to waste disposal and sewage inflow 37, 13. Previous studies on Kumaun Himalayan Lake indicated that seasons and human influence significantly affect pH, conductivity, and nutrient concentrations1.

DO of the lake was low; comparative research on Bellandur and Varthur Lakes reported similar findings due to high organic pollution from untreated sewage 9, 10. DO saturation percentage suggests significant variations in the inlet station, emphasizing the need for monitoring. Organic pollution suggests the waste accumulation capacity of the wetland 38. Studies on Varthur Lake reported high levels of BOD, underscoring stress on aquatic life 39. Previous studies suggest that the lesser the DO, the higher the BOD 24. COD is reported to be high after the rainy season, reflecting a similar trend in Ulsoor Lake and other urban Lakes in Bangalore 40. Urban waste and anthropogenic activity lead to high values of COD 41.

Rainfall increases alkalinity 42, as indicated in the present study; alkalinity tends to increase during summers, and enhanced carbon sources due to bicarbonates facilitate algae growth 43. High values of bicarbonates reported in the study might be due to contact with carbonate rocks and atmospheric gases present in water 44. Past studies show increased hardness during the dry seasons 45. The present study indicates increased hardness during the monsoon, calcite, and dolomite dissolution due to rainfall might be the reason for the increase in hardness during the monsoon 20. TDS is mainly due to anions and cations 13 and depends on seasons 46. Calcium in fresh surface water could be due to gypsum, limestone, and calcium-containing rocks 47. Inflow retention of pollutants also leads to high calcium content 48. Leaching of dolomite and magnesite during the monsoon can cause high magnesium levels 49. High values observed during the winter at the inlet station are hypothesized to result from mineral leaching, drainage, and oxidation of sulfides 50. The presence of phosphates generally leads to eutrophication during the dry seasons, as suggested by past studies, which is similar to the current research 51. Nitrate concentration in surface water is high, and spikes are only due to agricultural runoff and animal wastes 52, 53, 54.  Previous studies on MPN indicate values go high after monsoon, similar to the current study 54.

Statistical validation suggests significant environmental pollution between the inlet point and the open station, which aligns with previous studies showcasing spatial heterogeneity in water quality due to anthropogenic activities 54.  Additionally, temperature, humidity, total hardness, calcium, magnesium, phosphates, and nitrates displayed seasonal differences with a significance level of p<0.001. Furthermore, DO, BOD, COD, alkalinity, TDS, potassium, and chlorides showed potent variations, with p<0.05 being the significance level. D. rerio data of the current study, in contrast with earlier studies conducted on Iblur and Mallathahalli Lakes in Bangalore, are similar 24, 55. The limnological parameters and the physiological responses indicate deficient water quality and highlight a detrimental effect on aquatic life, emphasizing stringent water quality management.

Conclusion 

Comprehending various limnological variables of the wetland and physiological responses by D. rerio, the current investigation reports the influence of summer, monsoon and winter seasons on limnological parameters. Physiological responses of D. rerio embryos highlighted potent stressors present in the lake ecosystem, with delayed somite development and decreased heart rates. The water quality remains poor and continuous ecological stress was observed. The study emphasizes the importance of seasonal dynamics as an adaptive strategy in wetland monitoring to mitigate pollution and consciously spread awareness in society.

Acknowledgement

The authors would like to acknowledge JAIN (Deemed to be University), Bangalore, for the infrastructural support rendered throughout the study.

Conflict of Interest

The authors do not have any conflict of interest

Funding Sources

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Data Availability Statement

This statement does not apply to this article.

Ethics Statement

This research did not involve human participants, animal subjects, or any material that requires ethical approval.

Author Contributions

Mathews P Raj: Conceptualization, Methodology, Writing – Original Draft, Supervision.

Reena Susan Philip: Data Curation, Formal Analysis, Writing – Review & Editing.

All authors have read and approved the final version of the manuscript.

References

  1. Chakrapani G.J. Water and sediment geochemistry of major Kumaun Himalayan lakes, India. Environ Geol. 2002;43(1):99-107.
    CrossRef
  2. International Lake Environment Committee (ILEC). World Lake Vision: A Call to Action. Kusatsu, Japan: ILEC; 2003.
  3. Gurunathan A., Shanmugam C.R: Customary rights and their relevance in modern tank management: Select cases in Tamil Nadu. International Environmental Law Research Centre (IELRC); 2006.
  4. Yu F., Fang G., Ru X. Eutrophication, health risk assessment and spatial analysis of water quality in Gucheng Lake, China. Environ Earth Sci. 2010;59 (8):1741-1748. doi:10.1007/s12665-009-0221-3.
    CrossRef
  5. Ramchandra T.V., Malvikaa S. Ecological assessment of lentic water bodies in Bangalore. Technical Report No. 25. Bangalore, India: Indian Institute of Science; 2007. Available from:http://wgbis.ces.iisc. ernet.in/ energy/water/paper/ETR25.
  6. Das B.K. Environmental pollution impact on water and sediments of Kumaun lakes, Lesser Himalaya, India: A comparative study. Environ Geol. 2005;49(2):230-239.
    CrossRef
  7. Anshumali R., Ramanathan A.L. Seasonal variation in the major ion chemistry of Pandoh Lake, Mandi District, Himachal Pradesh, India. Appl Geochem. 2007;22(8):1736-1747.
    CrossRef
  8. Abida P.S., Keshavanath P., Ramachandra T.V. Impact of urbanization on lakes of Bangalore. Curr Sci. 2008;94(5):637-647.
  9. Ramachandra T.V., Bharath S., Han S.S. Urbanization and its impact on water bodies in Bangalore, India. Water Resour Manage. 2008;22(8):1255-1268. doi:10.1007/s11269-007-9236-0.
  10. Sharma B.K., Das S., Varghese G. A comprehensive study on limnology and water quality parameters of different lakes in Bangalore, Karnataka. Int J Fish Aquat Stud. 2017;5 (1):356-362.
  11. Shankar P., Mishra J., Singh S. Hepatitis A and E in potable water: A threat to health. In: Singh PP, Sharma V, eds. Water and Health. New Delhi: Springer; 2014:29-51.
    CrossRef
  12. Ramachandra T.V., Sudarshan P.B., Mahesh M.K., Vinay S. Spatial patterns of heavy metal accumulation in sediments and macrophytes of Bellandur wetland, Bangalore. J Environ Manage. 2018;206:1204-1210. doi:10.1016/j.jenvman.2017.10.014.
    CrossRef
  13. Ravikumar P., Aneesul Mehmood., Somashekar R.K. Water quality index to determine the surface water quality of Sankey Tank and Mallathahalli Lake, Bangalore Urban District, Karnataka, India. Appl Water Sci. 2013;3(1):247-261. doi:10.1007/s13201-012-0078-3.
    CrossRef
  14. Choudhary P., Routh J., Chakrapani G.J. Organic geochemical record of increased productivity in Lake Naukuchiyatal, Kumaun Himalayas, India. Environ Earth Sci. 2010;60:837-843. doi:10.1007/s12665-009-0221-3.
    CrossRef
  15. Zan F., Huo S., Xi B., et al. Phosphorus distribution in the sediments of a shallow eutrophic lake, Lake Chaohu, China. Environ Earth Sci. 2010. doi:10.1007/s12665-010-0649-5.
    CrossRef
  16. Gupta N., Pandey P., Hussain J. Effect of physicochemical and biological parameters on the quality of river water of Narmada, Madhya Pradesh, India. Water Sci. 2017;31. doi:10.1016/j.wsj.2017.03.002.
    CrossRef
  17. Kolo B.G., Ogugbuaja V.O., Dauda M. Seasonal variation in dissolved oxygen and organic pollution indicators of Lake Chad in Borno State, Nigeria. Cont J Water Air Soil Pollut. 2010;1:1-5.
  18. Rao S.D., Ganesh G. Limnological studies on some selected lakes of Bangalore, Karnataka, India. J Adv Zool. 2019;40(1):45-50.
  19. Raj M.P., Panicker S. Quantification of the flora and the study of ecological succession at Ibalur Lake, Bangalore using sequential aerial photography. Res J Pharm Biol Chem Sci. 2014;5(3):211.
  20. Cai W.J, Guo X., Chen C.T.A., et al. A comparative overview of weathering intensity and HCO3− flux in the world’s major rivers with emphasis on the Changjiang, Huanghe, Zhujiang (Pearl) and Mississippi. Cont. Shelf Res,Vol 28, Issue 12, 2008, Pages 1538-1549, ISSN 0278-4343,https://doi.org/10.1016/j.csr.2007.10.014.
    CrossRef
  21. Gupta P., Srivastava N. Effects of sub-lethal concentrations of zinc on histological changes and bioaccumulation of zinc by kidney of fish Channa punctatus (Bloch). J Environ Biol. 2006;27:211–215.
  22. Kumar A.R., Riyazuddin P. Chemical Speciation of Trace metals in aquatic environments—An overview. Res Chem Environ. 2006;10:93–103.
  23. Tilak K.S., Veeraiah K., Prema Raju J.M. Effects of ammonia, nitrite, and nitrate on hemoglobin content and oxygen consumption of freshwater fish, Cyprinus carpio (Linnaeus). J Environ Biol. 2007;28(1):45–47.
  24. Raj M.P., Abraham A.A., Reddy J. Effect of polluted water on Danio rerio (Zebrafish) as a vertebrate model: A case study of Ibalur Lake, Bangalore, India. South Asian J Exp Biol. 2015;5(2):48–54.
    CrossRef
  25. Truong L., Harper S.L., Tanguay R.L. Evaluation of embryotoxicity using the zebrafish model. Methods Mol Biol. 2011;691:271–279. doi:10.1007/978-1-60761-849-2_16. PMID: 20972759.
    CrossRef
  26. Ali S., Champagne D.L., Spaink H.P., Richardson M.K. Zebrafish embryos and larvae: A new generation of disease models and drug screens. Birth Defects Res C Embryo Today. 2011;93(2):115–133. doi:10.1002/bdrc.20206.
    CrossRef
  27. American Public Health Association. Standard Methods for the Examination of Water and Wastewater. 23rd ed. Washington DC: American Public Health Association; 2017.
  28. Aneja K.R. Experiments in microbiology, plant pathology, tissue culture, and mushroom production technology. 4th ed. New Delhi: New Age International Publications; 2003.
  29. Rahman O., Jaman A., Shahjahan M., Jaman A. Impact of sex ratio on the spawning success of zebrafish in the laboratory settings. Prog Agric. 2021;32:78–83. doi:10.3329/pa.v32i1.55718.
    CrossRef
  30. Engerer P., Plucinska G., Thong R., Trovò L., Paquet D., Godinho L. Imaging Subcellular Structures in the Living Zebrafish Embryo. J Vis Exp. 2016;(110):e53456. doi:10.3791/53456. PMID: 27078038; PMCID: PMC4841334.
    CrossRef
  31. Mosley L.M., Zammit B., Jolley A.M., Barnett L., Fitzpatrick R. Monitoring and assessment of surface water acidification following rewetting of oxidized acid sulfate soils. Environ Monit Assess. 2014;186(1):1–18. doi:10.1007/s10661-013-3350-9.
    CrossRef
  32. Araoye P.A. The seasonal variation of pH and dissolved oxygen (DO2) concentration in Asa lake Ilorin, Nigeria. Int J Phys Sci. 2009;4(5):271–274.
    CrossRef
  33. Kapembo M.L., Laffite A., Bokolo M.K., Mbanga A.L., Maya-Vangua M.M., Oté J. Evaluation of water quality from suburban shallow wells under tropical conditions according to the seasonal variation, Bumbu, Kinshasa, Democratic Republic of the Congo.
  34. Smith V.H., deNoyelles F.Jr., Dolman A.M. Eutrophication is a major threat to freshwater resources. Glob Environ Change. 2017;54:119–129.
  35. Sallam G., Elsayed E.A. Estimating the impact of air temperature and relative humidity change on the water quality of Lake Manzala, Egypt. J Nat Resour Dev. 2015. doi:10.5027/jnrd.v5i0.11.
    CrossRef
  36. Mawonike R., Mandonga G. The effect of temperature and relative humidity on rainfall in Gokwe region, Zimbabwe: A factorial design perspective. Int J Multidiscip Acad Res. 2017;5(2):352–361.
  37. Bhat S.A., Rather S.A., Pandit A.K. Impact of effluent from Sheri-Kashmir Institute of Medical Sciences (SKIMS), Soura, on Anchar Lake. J Res Dev. 2001;1:30–37.
  38. Srivastava N., Harit G.H., Srivastava R. A study of physicochemical characteristics of lakes around Jaipur. Indian J Environ Prot. 2009;30(5):889–894.
  39. Ramachandra TV, Asulabha KS, Sincy V, Vinay S, Bharath HA, Sudarshan PB, Mahapatra DM. Pathetic status of wetlands in Bangalore: Epitome of inefficient and uncoordinated governance. ENVIS Technical Report 93. CES, Indian Institute of Science; 2015.
  40. Rao G.S., Rao G.N. Study of groundwater quality in greater Visakhapatnam City, Andhra Pradesh (India). J Environ Sci Eng. 2010;52(2):137–146.
  41. Khuhawari M.Y., Mirza M.A., Leghari S.M., Arain R. Limnological study of Baghsar Lake district Bhimber, Azad Kashmir. Pak J Bot. 2009;41(4):1903–1915.
  42. Pandit J., Sharma A., Bhardwaj S. Impact of Urbanization on Ground Water Quality of Solan District of Himachal Pradesh. Adv Bioresearch. 2024;14:352–361. doi:10.15515/abr.0976-4585.14.6.352361.
  43. Hem JD. Study and interpretation of the chemical characteristics of natural water. U.S. Geological Survey Water-Supply Paper 2254. 1985.
  44. Khaiwal R., Ameena., Meenakshi., Monika., Rani., Kaushik A. Seasonal variations in physico-chemical characteristics of River Yamuna in Haryana and its ecological best-designated use. J Environ Monit. 2003;5:419–426. doi:10.1039/B301723K.
    CrossRef
  45. Vyas V., Sawant V.A. Seasonal Variations In Drinking Water Quality Of Some Borewell Waters In Urban Area Of Kolhapur City. Nat Environ Pollut Technol. 2008;7(2):261–266.
  46. Gyananath P., Islam S.R., Shewdikar S.V. Assessment of environmental parameters on groundwater quality. Indian J Environ Prot. 2000;21(4):289–294.
  47. Describe and statistically evaluate hydrochemical data on Karst phenomena in Jordan: Al-Dhaher Cave Karst Spring. IOSR J Appl Geol Geophys (IOSR-JAGG). 2014;2(3):23–42. doi:10.9790/0990-0232342.
    CrossRef
  48. HillbrichT-ilkowska A. Protection of lakes and lake district landscape – problems, processes, and perspectives. Kosmos. Problems of Biological Sciences. 2005;54(2–3):285–302.
    CrossRef
  49. Kolanek A., Kowalski T. On the contribution of biochemical processes and humic substances to calcium and magnesium concentrations in watercourses. Environ Prot. 2002;1(84):9–12.
    CrossRef
  50. Zak D., Hupfer M., Cabezas A., et al. Sulfate in freshwater ecosystems: A review of sources, biogeochemical cycles, ecotoxicological effects, and bioremediation. Earth Sci Rev. 2020. doi:10.1016/j.earscirev.2020.103446.
    CrossRef
  51. Sumathi M., Vasudevan N. Role of Phosphate in Eutrophication of water bodies and its Remediation. J Chennai Acad Sci. 2019;1:65–86.
  52. Nas B., Berktay A. Groundwater contamination by nitrates in the city of Konya, (Turkey): a GIS perspective. J Environ Manage. 2006;79:30–37.
    CrossRef
  53. Bijay-Singh, Craswell E. Fertilizers and nitrate pollution of surface and groundwater: an increasingly pervasive global problem. SN Appl Sci. 2021;3:518. doi:10.1007/s42452-021-04521-8
    CrossRef
  54. Sasikumar G., Krishnamoorthy M. Faecal indicators and sanitary water quality of shellfish harvesting environment: Influences of seasonal monsoon and river runoff. Indian J Mar Sci. 2010;39(3):434–444.
  55. Raj M.P., Satishchandra N. Physico-chemical and Microbiological Characterization of Recycled, Open and Eutrophicated Lake Water Grabs and Assessment of its Effects on A Vertebrate System Zebra Fish (Danio rerio): A Case Study of Mallathahalli Lake, Bangalore, India. Biosci Biotechnol Res Asia. 2015;12(Spl. Edn. 2):269–278. doi:10.13005/bbra/2036.
    CrossRef
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