Seasonal Variation Of Water Quality Research Articles

A Comparative Physical Parameters of Sri Kurmanadha Temple Pond and Sri Maninageswara Temple Pond, Srikakulam District, Andhra Pradesh, India

Data collected on certain physical parameters of Sri Kurmanadha, Srikurmam and Sri Maninageswar, Kallepalli, Temple Ponds, Srikakulam District, Andhra Pradesh from May 2014 to April 2016. The seasonal variations in water quality were recorded on monthly basis for a period of two years and correlation studies were also conducted among different physical parameters of both temple ponds. Water samples were analyzed for Physical Parameters like air temperature (28.250 C, 27.40 C), water temperature (240C, 24.350 C), transparency (32.1cm., 20.35cm.), EC (621μs/cm., 513.5μs/cm.), TSS (27mg/l., 35.5mg/l.) TDS (367mg/l., 298mg/l), pH (7.35, 7.5), DO (6.75mg/l, 6.5mg/l), COD (10.63mg/l, 10.36mg/l), BOD (3.31mg/l., 2.86mg/l.) total alkalinity (132.5mg/l., 128.5mg/l.), total hardness (80mg/l., 87.5mg/l.). Inter relationship between physical parameters (Pearson’s Correlation matrix) was also recorded. In this observation temperature showed strong positive correlation with COD (r=0.91, r=0.88), BOD (r=0.96, r=0.89), and negative correlation with DO (r=-0.84, r=-0.97). EC showed significant positive correlation with TDS (r=0.85, 0.89), and negative correlation with DO (r= -0.82, r=-0..84), TDS showed positive correlation with pH (r=0.77, r=0.72), and total hardness (r=0.81, 0.78), pH showed positive correlation with COD (r=0.77, r=0.84), total alkalinity (r=0.94, r=0.86), total hardness (r=0.81, r=0.84), and negative correlation with DO (r= -0.87, r=-0.77), Dissolved Oxygen showed negative correlation with COD (r= -0.88, r=-0.93), BOD (r= -0.95, r=-0.93). Chemical Oxygen Demand showed positive correlation with BOD (r= 0.92, r=0.91) and total alkalinity (r= 0.75, r=0.79). Biological Oxygen Demand showed positive correlation with total alkalinity (r= 0.74, r=0.63). Total Alkalinity showed positive correlation with total hardness (r= 0.90, r=0.87). These observations could useful in the water quality monitoring and regulation in order to enhance the quality of water with better sustainable management of Sri Kurmanadha, Srikurmam and Srimaninageswar, Kallepalli, Temple Ponds.

Seasonal Variation of Water Quality of Taiping Lake in Eastern China

Lakes and reservoirs are an important sources of drinking water for human life. However, numerous water quality indexes show seasonal fluctuation under different climatic conditions. We conducted a one-year investigation of Taiping Lake in year 2022 to construct relationship between water quality parameters and water quality. High water temperature promotes the growth of algae, and the existence of N species could provide the essential nutrient substance for the growing of algae. Under the irradiation of sunlight, algae will consume carbon dioxide through photosynthesis and release oxygen which can raise oxygen levels in the water. However, the rapid growth of algae could influence the acid-base balance in water through the consumption of carbon dioxide; thus, resulting in the increasing of pH values. These pH changes may pose a threat to drinking water.

Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on Machine Learning

Water parameter estimation based on remote sensing is one of the common water quality evaluation methods. However, it is difficult to describe the relationship between the reflectance and the concentration of non-optically active substances due to their weak optical characteristics, and machine learning has become a viable solution for this problem. Therefore, based on machine learning methods, this study estimated four non-optically active water quality parameters including the permanganate index (CODMn), dissolved oxygen (DO), total nitrogen (TN), and total phosphorus (TP). Specifically, four machine learning models including Support Vector Machine Regression (SVR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and K-Nearest Neighbor (KNN) were constructed for each parameter and their performances were assessed. The results showed that the optimal models of CODMn, DO, TN, and TP were RF (R2 = 0.52), SVR (R2 = 0.36), XGBoost (R2 = 0.45), and RF (R2 = 0.39), respectively. The seasonal 10 m water quality over the Zhejiang Province was measured using these optimal models based on Sentinel-2 images, and the spatiotemporal distribution was analyzed. The results indicated that the annual mean values of CODMn, DO, TN, and TP in 2022 were 2.3 mg/L, 6.6 mg/L, 1.85 mg/L, and 0.063 mg/L, respectively, and the water quality in the western Zhejiang region was better than that in the northeastern Zhejiang region. The seasonal variations in water quality and possible causes were further discussed with some regions as examples. It was found that DO would decrease and CODMn would increase in summer due to the higher temperature and other factors. The results of this study helped understand the water quality in Zhejiang Province and can also be applied to the integrated management of the water environment. The models constructed in this study can also provide references for related research.

Variaciones fisicoquímicas del agua de una gran presa Hidroeléctrica Mexicana, Región Centro semi-árida

The Zimapan hydropower plant built in 1995 was the first project to take advantage of Mexico's City wastewater for electric power generation. This tropical reservoir receives pollutants that affect water quality from municipal, agricultural, and industrial wastewater through the Tula and San Juan rivers. The study considered the changes in the physicochemical parameters (surface to 20 m depth) for May (wet warm), November (wet cold-after rains), and February (dry cold) in seven dam sites: two lotic, two transitional, and three lentic sites. Mean values ranges were temperature 20.71-24.38 °C, 1.59-7.56 mg/L dissolved oxygen, Secchi disk transparency 2.26-3.98 m, pH 7.12-8.40, electrical conductivity 48-1334 µS/cm, total nitrogen 14.20-30.74 mg/L, total phosphorus 10.45-15.83 mg/L, and dissolved organic carbon 9.11-20.63 mg/L. In November, all the reservoir surface water was hypoxic due to increased dissolved organic carbon by river input. Even though dissolved oxygen has a seasonal variation, this reservoir has a sustainable fishery of tilapia and black bass (~400 tons/y). The dam is meromictic and hypereutrophic, with seasonal water quality variations with no significant spatial variations. Water quality variation observed in this study can be useful to Mexican decision-makers on water and fisheries management, prevent massive fish kills, and be a support guide for commercial and sport fishers.

Impact of source water quality on total organic carbon and trihalomethane removal efficiency in a water treatment plant: A case study of Upper Awash, Ethiopia.

This study addresses the limited understanding of factors affecting the efficiency of water treatment plants in reducing trihalomethane (THM) formation through total organic carbon (TOC) removal, highlighting significant challenges in improving treatment effectiveness. The aim of this study was to examine the influence of water quality on the efficiency of water treatment plants to remove TOC and reduce THM formation. Linear regression and correlation analyses were conducted to examine the relationship between water quality parameters and THM concentrations. The results showed that there was a negative relationship between turbidity, metals, and TOC concentration with TOC removal efficiency. Positive correlations were found between parameters and the formation of THMs in water. Of these parameters, water temperature was observed to have relatively less influence on THM formation. It was observed that seasonal variations in water quality affect the efficiency of TOC removal and THM content in treated water. THM levels in chlorinated water were found to be within the permissible range of the World Health Organization's drinking water quality guidelines. However, it is still important to maintain continuous monitoring and take measures to reduce THMs. The model demonstrated a strong correlation (R2 = 0.906) between predicted and measured THM values.

Assessment of seasonal variation of water quality of Agartala City, Tripura through PCA, PcoA approach & Water Quality Index

Assessment of seasonal variation of water quality of Agartala City, Tripura through PCA, PcoA approach & Water Quality Index

Seasonal differences in water quality of highland lakes and its influencing factors: A case study of Dianchi Lake

Abstract Water quality is of great significance to human survival and development. It is of good theoretical value to study seasonal water quality variation and driving factors in plateau lakes. This paper studied the variation of water quality parameters in different seasons and their relationship with land use and climate factors in Dianchi Lake, Yunnan Province from 2001 to 2019. The results show that the factors restricting water environment in different seasons are different, but basically close. The water quality parameters of multiple water quality monitoring stations in different seasons showed a decreasing or insignificant trend. In the rainy season, the temperature and precipitation were positively correlated with most water quality parameters, while the driving effect of climate factors was not significant in the dry season. Different land types have different effects on water quality indexes in different seasons. The water quality score was higher in the rainy season than in the dry season. The scores of water quality stations in the south and middle of Dianchi Lake are higher than those in the north. In this study, the relationship between climate, land, and water quality is established, which provides a way for the research of water quality parameters.

Assessment of the Seasonal Variations of Lakes Water Quality in Bangladesh

The study was conducted to assess the seasonal variations of water quality in Hatirjheel Lake and Dhanmondi Lake during the period from August, 2019 to January, 2020. The water samples were collected monthly during the monsoon and postmonsoon seasons from five sampling stations of both lakes. Comparative analysis revealed that mean pH was near the standard level in both lakes where DO concentration was much lower in Hatirjheel Lake than Dhanmondi Lake which could be due to the direct dumping of nearby residential and commercial waste, and domestic sewages from the city drainage system as well. The BOD concentration in Hairjheel Lake water exceeded the standard in both seasons and there was no significant change over seasons. In contrast, the Dhanmondi Lake water showed relatively lower BOD concentrations in both seasons where mean concentration slightly exceeded the standard in some stations. The EC and TDS contents showed positive relations but exceeded the standard limit throughout seasons in both lakes. The nutrient contents (NO3 -, NO2 - and NH4 +) of Hatirjheel Lake water highly exceeded the standard during the study that tends the lake water prone to eutrophication. The study revealed that the physicochemical parameters and nutrient status of Dhanmondi Lake water were within the standard limit except EC indicating a rich habitat for aquatic organisms and sounds for recreational activities than Hatirjheel Lake which should be monitored throughout the year to maintain the productivity of lake water systems.

Effects of comprehensive landscape patterns on water quality and identification of key metrics thresholds causing its abrupt changes

Comprehensive landscape patterns influence water quality with multiple factors, complex processes, and scale dependence. However, studies identifying landscape thresholds causing abrupt water quality changes and characterizing the contribution of topography to water quality are still limited. Exploring the impact mechanisms of natural geographical and landscape characteristics on spatial and seasonal water quality variations is conducive to watershed water resource protection and ecosystem restoration. Based on water quality monitoring data of Minjiahe River in the typical headwater area of the upstream Dan River in China from 2019 to 2021, we employed redundancy analysis, partial redundancy analysis, and nonparametric change-point analysis to analyze the relationship between stream water quality and multi-spatial scale comprehensive landscape patterns, to obtain the interactive and independent contributions of different landscape categories at multi-spatial scales on water quality, and to find the key landscape threshold leading to abrupt changes in water quality. Results showed that landscape configuration, landscape composition, and topographic factors collectively explain over 89.1% of water quality variation. Most seasonal variations in water quality were primarily caused by landscape configuration. The landscape composition was mainly responsible for the differences in water quality variations among spatial scales. The topographic factors made the least independent contribution and had a potential impact on overall water quality variation. In order to protect the water quality of streams, it is more reasonable to regulate the landscape at different scales. At the sub-catchment scale, interspersion and juxtaposition index (IJI) and landscape shape index (LSI) should be controlled below 82% and 22. At the 100 m riparian scale, farmland, urban land, IJI, and LSI should be controlled below 29%, 6.5%, 92%, and 26, respectively. Our results provide important guidance for optimizing landscape patterns and water conservation in the watershed.

Seawater quality assessment of the marine ecosystem of Punta Galeta in Panama

Seawater quality was described in the Caribbean coast of Panama based on water physicochemical parameters and biological monitoring studies. Samples of water and benthic macroinvertebrates were collected near Punta Galeta, Province of Colón, Panama. The sampling area was sheltered from the action of waves and located between the coral reef and mangroves. Class Polychaeta was themost abundant with 90 % overall presence in Punta Galeta. Taxonomic classes of Bivalvia, Malacostraca and Ophiuroidea only represented 10 % altogether. Overall, seawater quality was suitable for the collected species of macroinvertebrates, even though concentrations of nitrateand phosphate were above the recommended value. Recorded values of temperature, pH and dissolved oxygen indicated that the site is far from reaching hypoxic conditions. Water quality index indicates a good water quality at Punta Galeta. Further studies with more robust and intense sampling programs are required to properly define the seasonal variations of water quality and its link to benthic macroinvertebrates. Similar studies in the Caribbean of Panama are scarce even though they offer valuable information for water resource administrators.

Evaluation of water quality of Mundeswari River in eastern India: a water quality index (WQI) based approach

The Mundeswari River is the western distributary of the Damodar River system in eastern India. The water of this river is extensively used for domestic purposes and agricultural irrigation. This study aimed to evaluate the spatial and temporal water quality variation of the Mundeswari River and assess the water quality status of this river using the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI). Water quality was monitored monthly at four selected sampling stations (M1, M2, M3, and M4) during 2020-2022, considering twelve selected water quality indicators. The obtained water quality data were analysed using different statistical techniques. Water quality at different monitoring stations was appraised through the use of CCME-WQI. The results revealed that the overall water quality of most of the monitoring stations based on CCME-WQI values was “marginal.” The highest WQI value (82.01) was observed at M1, and the lowest WQI (41.24) was recorded at M3. One-way ANOVA indicated a statistically significant difference in WQI values between sampling sites (P <0.05). The water quality of the M3 sampling station was found to be in degraded condition throughout the study period. Cluster analysis from the perspective of WQI values revealed two distinct clusters of the sampling stations. Substantial seasonal variation in water quality was also observed. This river had putrid water quality during the pre-monsoon period, and relatively better water quality was evident after the monsoon. This study revealed that the water of the Mundeswari River is utterly unsafe for human consumption and it requires significant treatments before it can be safely used for domestic purposes like cooking, washing etc.

Seasonal Variation in Water Quality of River Subin in Kumasi

Seasonal Variation in Water Quality of River Subin in Kumasi

Environmental isotopes (δ18O–δ2H, 222Rn) and electrical conductivity in backtracking sources of urban pipe water, monitoring the stability of water quality and estimating pipe water residence time

This study demonstrates the use of environmental tracers (Water isotopes-δ18O–δ2H, Radon-222Rn, and Electrical Conductivity-EC) as complementary tools for backtracking the water source, estimating pipe water residence time, and monitoring the instability of the water quality. Using the capital of Ethiopia, Addis Ababa, as a case study site, we demonstrate that water isotopes (δ18O andδ2H) effectively backtrack the tap water to its source (springs, reservoirs, shallow aquifers, or deep aquifers). 222Rn is shown to be effective for discriminating groundwater-sourced pipe networks from those that are dominated by surface waters. Our reconnaissance survey reveals that 222Rn, a tracer previously not considered to determine the pipe water residence time, can be used effectively to determine pipe water residence time in groundwater-sourced pipe networks. We recommend further research to explore the capability of 222Rn as a robust indicator of the pipe water residence time in an urban piped water network. The tracers reveal that 50% of the city obtains its water from groundwater and that the groundwater-sourced areas of the city show the highest water quality instability. The water quality in groundwater-sourced pipes varies depending on pumping stoppage owing to power interruptions. Surface water-sourced pipe water shows seasonal variations in water quality, with occasional large deviations from the normal trends following flow interruptions.

Shift of phytoplankton and microbial communities cause seasonal dynamics of odor compounds in Oncorhynchus mykiss cultured in a freshwater reservoir

The presence of the odorous compounds geosmin (GSM) and 2-methylisoborneol (MIB) can cause off-flavor in aquacultural products and result in large economic losses. Here, we investigated the effects of various factors on the abundance of microorganisms that mediate the production of off-flavor compounds as well as the environmental conditions that promote the growth of these microorganisms. We monitored seasonal variation in water quality, odorous compounds, and phytoplankton and microbial communities in a cold freshwater reservoir with Oncorhynchus mykiss. All water quality parameters significantly differed among seasons with the exception of salinity and total suspended solids. The concentrations of GSM and MIB in fish varied among seasons, and the highest values were observed in the summer. Pearson correlation analysis revealed that Cyanophyta and Bacillariophyta in water were significantly related to both GSM and MIB concentrations in fish, and three genera in Cyanophyta, including Aphanizomenon, Oscillatoria, and Anabaena, were positively correlated with GSM and MIB concentrations (P < 0.05). Principal component analysis indicated that microbial communities were distinct among the four seasons. However, no significant correlations of both the order Myxococcales and phylum Actinobacteria with odorous compounds were detected (P > 0.05). Temperature, soluble reactive phosphorus (SRP), and total phosphorus (TP) were significantly positively correlated with the phyla and genera that were significantly positively correlated with GSM and MIB concentrations (P < 0.05). Various water quality parameters (SRP and TP) could be managed to reduce the presence of GSM and MIB-induced off-flavor in this reservoir as well as other cold freshwater systems used for aquaculture.

Groundwater quality and community health risk in Lalitpur Metropolitan City, Nepal – a geospatial analysis

Groundwater is the main source of drinking water in the Kathmandu Valley (Nepal). To assess the groundwater quality of Lalitpur Metropolitan City (LMC) of this valley, samples were collected in winter and post-monsoon seasons from 35 shallow dug wells and 16 parameters: pH, TDS, EC, Na+, K+, Ca2+, Mg2+, Total hardness, Clˉ, HCO3ˉ, NO3 ˉ, NH4 +, Fe, PO4 3-, SO4 2-, and Total Coliform were analysed. Hydrochemical analysis and GIS-based mapping have revealed spatial and seasonal variations in water quality. The concentration of most of the parameters was higher in the winter samples compared to the post-monsoon. Comparison with the WHO and NDWQS guidelines has revealed anomalous water chemistry. Zones hosting groundwater, suitable and unsuitable for drinking and irrigation were demarcated. However, the presence of pathogens in all the groundwater samples put the entire population of LMC under high health risk. This study bears importance in groundwater exploration, management, and prevention of water-borne diseases.

[Long-term Succession Patterns and Driving Factors of Water Quality in a Flood-pulse System Lake: A Case Study of Lake Luoma, Jiangsu Province].

Lake Luoma is an important storage lake for the Eastern route of the South-to-North Water Diversion Project (NSBD), which has many functions including flood control and irrigation, drinking water supply, and ecological maintenance. In order to understand the succession patterns and driving factors of water quality in Lake Luoma, we used monthly monitoring data from 2009 to 2020 in combination with historical data from 1996 to 2008. The long-term succession patterns, seasonal dynamics, and spatial patterns of total nitrogen (TN), total phosphorus (TP), permanganate index, and ammonia nitrogen (NH+4-N) were examined, and the influence of meteorological and hydrological factors on water quality was explored through correlation analyses and generalized additive models. The results showed that it remained in the status of grade Ⅳ-inferior Ⅴ over the past 25 years. The concentration of TN, which was the main pollutant, changed significantly (1.06-3.49 mg·L-1), experiencing three stages of gradual decline (1996-2002), significant interannual fluctuation (2002-2015), and significant increase (2015-2020). Permanganate index decreased significantly (2.97-6.38 mg·L-1), whereas TP and NH+4-N concentration fluctuated slightly, ranging from 0.024-0.076 mg·L-1 and 0.11-0.69 mg·L-1, respectively. The concentration of TN and TP increased abnormally in the summer of 2017-2020, reaching 3.30 mg·L-1 and 0.14 mg·L-1 in August, respectively, which was approximately 1.5 and 2.4 times the annual average. In terms of seasonal dynamics, the seasonal variation in water quality between summer/autumn and winter/spring reversed after 2015, with water quality in summer/autumn being worse than that in winter and spring, indicating the exacerbation of eutrophication. The water quality in the southern area was obviously better than that in the northern area. The input of pollutants from the Yihe River and Middle Canal increased with water quantity since 2015, which drove the water quality deterioration through nutrients. Our results suggested that the water quality of Lake Luoma should be improved by strengthening exogenous pollution reduction, endogenous control, polder dismantling, and ecological restoration.

Variation of Surface Water Quality at Bung Binh Thien Reservoir, An Giang Province, Vietnam Using Principal Component Analysis

This study was conducted to assess surface water quality at Bung Binh Thien reservoir, An Giang province, Vietnam. Sixty inhabitants living around the reservoir were interviewed to identify pollution sources. Nine water samples were collected in the dry and rainy seasons and then analyzed for eighteen variables (temperature, pH, electrical conductivity (EC), total dissolved solids (TDS), total suspended solids (TSS), turbidity (Turb), dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), sulfate (SO₄²⁻), chloride (Cl⁻), ammonia (NH4+-N), nitrate (NO3--N), total nitrogen (TN), orthophosphate (PO43--P), total phosphorus (TP), and coliform). Principal component analysis (PCA) was used to identify the primary parameters influencing water quality. The results indicated that the major concerns for water quality in the reservoir were suspended solids, organic matters and fecal microbes. There were significant seasonal variations in water quality. While organic pollution was mainly observed in the dry season, the microbial problem was recorded in the rainy season. This pollution was associated with domestic wastes, agricultural production, livestock, and aquaculture. The PCA results also revealed that DO, BOD, COD, N-NH₄⁺, N-NO₃⁻, P-PO₄³⁻, TP, Cl⁻, and coliform greatly influenced water quality variations, thus requiring these parameters in the monitoring program. The local authority should apply proper measures to improve water quality in the reservoir, and inhabitants should not directly use water for their domestic activities without adequate treatment.

Assessment on seasonal variation in water quality of Tuirial River Aizawl, Mizoram, India

Assessment on seasonal variation in water quality of Tuirial River Aizawl, Mizoram, India

Contribution of self-organizing maps in the classification of water resources in the production of drinking water by ultrafiltration

The ultrafiltration process has become essential in most drinking water production facilities. However, the variation in water quality remains difficult to manage, especially during major fouling phenomena. For this reason, the objective of this study is to develop a membrane fouling prediction tool based on seasonal water quality variation. For this, monthly monitoring of 6 water resources in Poitiers and Paris over 8 months was carried out, in which a filtration test was carried out on all the resources to assess their fouling potential and 13 physico-chemical parameters were measured. The collected data were used to build a self-organizing map (SOM) to classify water resources according to their fouling potential. The resulting SOM is able to classify the water resources according to the measured parameters into four clusters: (1) Waters with high TOC and turbidity with high fouling tendency, (2) Waters with average TOC and turbidity with average fouling tendency, (3) Waters with low TOC and turbidity that induce negligible fouling and (4) Very good quality waters that do not cause fouling.

Assessment of Surface Water Quality of Huai Luang River in Udon Thani, Thailand, Using the Water Quality Index

This study aimed to analyze the surface water quality of the Huai Luang River using the water quality index (WQI) method. Five parameters were analyzed to assess the water quality of the Huai Luang River; they were dissolved oxygen (DO), biochemical oxygen demand (BOD), total coliform bacteria (TCB), fecal coliform bacteria (FCB), and ammonia (NH3). The Huai Luang River is the municipality’s primary consumption water source in Udon Thani province, Thailand. WQI classifications were calculated by using the surface water quality standards program of Thailand’s Pollution Control Department (PCD-WQI). The results showed that the water quality in the Huai Luang River was bad status, in the WQI range of 54-60 scores. The major sources of pollutants in the Huai Luang River were wastewater from communities, agriculture, and animal farms are the main contributors to water pollution. Seasonal water quality variations were observed at each monitoring site from March 2022 to February 2023. WQI concentration in the rainy season (March to June) was generally among the highest (57 score) compared with other seasons (56 score in winter and 54 score in summer). While the WQI concentration of the upstream sampling site (domestic wastewater) had the lowest (55 score) compared with the other sites (59 score for midstream and 60 score for downstream). Therefore, this research study presented valuable information on WQI for the Huai Luang River for water quality management by administrators and local community participation.