Dal Lake Research Articles

Pollution status of microplastics in the sediments of warm monomictic Dal Lake, India: abundance, composition, and risk assessment

Pollution status of microplastics in the sediments of warm monomictic Dal Lake, India: abundance, composition, and risk assessment

Age-Dependent Enhancement in Fecundity and Ova Diameter of <i>Schizopyge niger</i> (Heckel, 1838) in Dal Lake, Kashmir

Understanding the reproduction and recruitment pattern is essential for successful conservation of a species. Accurate estimates of fecundity plays acrucial role in comprehending fish population dynamics. The snowtrout, Schizopyge niger, is a Cyprinid fish widely distributed throughout the lakes of Kashmir valley and is one of the most important commercial fish species. In this study, we examined the age-dependent reproductive perfor-mance of female S. niger, aiming to gain insights into its breeding characteristics for the development of an optimal brood-stock management plan. The study involved 78 female S. niger specimens collected from Dal Lake during the spawning season, representing age groups of 2+, 3+, 4+, 5+, and 6+ years. Fecundity and ova diameter showed an increasing trend from age 2+ (3,971 eggs; 1.45 mm) to age 6+ (10,501 eggs; 2.00 mm). Total fecundity exhibited positive correlations with age, total weight, ovary weight, and ova diameter. Additionally, there was a positive correlation between ova diameter and fish age, with the highest fecundity and largest ova diameter observed in the 6+ years age group. Among each age group, fecundity and ova diameter varied significantly (p <0.05). Based onthese findings, for optimal broodstock management of S. niger, it is recommended to use females of the6+ years age group after assessing the quality of eggs.

Physiological traits and population dynamics of Schizothorax niger (Heckel, 1838): Insights from Dal Lake and the Jhelum River, Kashmir, Himalayan region.

This study examines the physicochemical characteristics, morphometric features, biometric growth parameters, biological indices, physiological parameters, and biochemical profiles of Schizothorax niger population. The physicochemical analysis revealed a maximum temperature of 12.93 ± 1.33°C and hardness of 156.53 ± 12.82 mg/L in Dal Lake, whereas the Jhelum River had a minimum level of 10.94 ± 1.12°C temperature and 128.31 ± 11.62 mg/L of hardness. Dal Lake had a neutral pH (7.5 ± 0.2) and lower dissolved oxygen (6.8 ± 0.4 mg/L) compared to the Jhelum River (pH 7.2 ± 0.3; dissolved oxygen 7.5 ± 0.5 mg/L). Morphometric analysis showed significant differences (p < 0.05) in fish length (Dal Lake: 18.4 ± 2.1 cm; the Jhelum River: 21.0 ± 1.8 cm) and weight (Dal Lake: 74.5 ± 9.8 g; the Jhelum River: 92.2 ± 7.4 g) between the sites. Biometric growth parameters demonstrated a positive allometric growth pattern, with Dal Lake having a steeper slope (b = 3.15) than the Jhelum River (b = 2.98). Biological indices revealed gender-based variations in the gonado-somatic index (GSI) and hepato-somatic index (HSI), with GSI being higher in Dal Lake (0.21 ± 0.02) and HSI in the Jhelum River (1.04 ± 0.09). Haematological and biochemical analyses showed significant differences in parameters such as haematocrit (Dal Lake: 29.2 ± 2.1%; the Jhelum River: 32.4 ± 1.8%), glucose (Dal Lake: 85.3 ± 5.4 mg/dL; the Jhelum River: 68.1 ± 4.2 mg/dL), and total protein (Dal Lake: 6.2 ± 0.4 g/dL; the Jhelum River: 5.8 ± 0.3 g/dL) between sites. These findings provide valuable insights into the physiological traits and population dynamics of S. niger, informing species-specific conservation strategies and ecosystem management practices.

A Case Study on Investigation of Physico-chemical Properties of Dal Lake, Kashmir, India

A Case Study on Investigation of Physico-chemical Properties of Dal Lake, Kashmir, India

Stock assessment of rosy barb, Pethia conchonius (Hamilton, 1822) in Dal Lake of Kashmir Himalayas

For management of fish stocks, assessing the various parameters of population dynamics are regarded as being extremely important. Under this backdrop the population dynamics parameters viz. growth, mortality and recruitment of Pethia conchonius, inhabiting the Dal Lake of Kashmir Himalayas were analysed using FiSAT II software. The analysed specimens were collected from five different sites within the lake and exhibited a total weight range of 0.3 to 6.4 g and a total length range of 3.1 to 7.8 cm. The relative condition factor for the fish was reported to be 1.11. The growth parameter i.e., asymptotic length, age at zero length, growth performance index and growth constant were reported to be 10.0 cm, –0.75 years, 1.48 and 0.30 year–1 respectively. The total mortality of 1.49 year–1, consisting of natural mortality of 0.88 year–1 and fishing mortality of 0.61 year–1 was reported. An exploitation rate of 0.41 is suggestive of a less exploited state of the fish. The length at first maturity was found to be higher than the length at first capture, a condition that can disturb the stock, as such the utility of a net with relatively larger mesh size is advisable. The current research on the population dynamics of P. conchonius can be used as the baseline data for its management practices.

The present state of leech fauna (Annelida: Hirudinea) in Dal Lake, Jammu &amp; Kashmir, India

Dal Lake supports a diverse group of fauna, including fishes, aquatic birds, zooplankton, and macrobenthic invertebrates. This study is the first taxonomic documentation of the leech fauna of Dal Lake. A total of nine leech taxa belonging to four families were identified and described: Glossiphoniidae – Alboglossiphonia weberi, A. heteroclita, Glossiphonia complanata, Helobdella stagnalis, Hemiclepsis marginata asiatica, and Theromyzon sp.; Erpobdellidae – Erpobdella octoculata; Hirudinidae – Poecilobdella granulosa; and Haemopidae – Haemopis indicus. Leeches play key roles in prey-predator dynamics and host-parasite relationships in freshwater ecosystems and as bioindicators of water pollution. This study provides essential data for taxonomic accounts and the diversity of leech fauna in Dal Lake.

Deciphering the Chronological Dynamics of Azolla invasion in Dal Lake, Srinagar: Insights from Sediment eDNA and 210Pb/137Cs Dating Techniques

Deciphering the Chronological Dynamics of Azolla invasion in Dal Lake, Srinagar: Insights from Sediment eDNA and 210Pb/137Cs Dating Techniques

Understanding water dynamics in Dal Lake: a comprehensive analysis of physiological parameters and seasonal variations.

Maintaining the standard of water quality in an aquatic habitat necessitates continual assessment of its physicochemical properties. The purpose of this study was to evaluate physicochemical properties and to discuss the causes of spatiotemporal variability in key physicochemical parameters at five different locations of Dal Lake. Water samples were collected in four seasons for 3 years (i.e., January 2019-December 2021) to evaluate various physicochemical properties using standard methods. The analysis shows that the macrophytic development has increased due to organic and inorganic load, leading to the Lake's deterioration. The analysis indicates positive and negative correlations among various parameters across five sampling sites. Principal component analysis shows that two components (PC1 and PC2) explain 47.35, 47.54, and 48.11% of the variability in the years 2019, 2020, and 2021, respectively. From 2019 to 2021, the continuous decrease in dissolved oxygen and increased levels of magnesium, conductivity, alkalinity, total hardness, calcium hardness, total phosphorus, and nitrate-nitrogen suggest a trend toward eutrophication in the lake.

Bifunctional Zirconium Phosphate with Greigite for Electrochemical Detection and Simultaneous Removal of Heavy Metal Ions and Nitro Compounds.

Electrochemical sensing is emerging as a method of choice for the sensing and monitoring of contaminants in water. Various sensing platforms have been designed for sensing heavy metal ions and organic pollutants in water bodies. Herein, we report a new electrochemical platform that can be used for the detection of both heavy metal ions and nitro-based organic contaminants in water bodies. The electrochemical sensor uses a modified electrode based on Fe3S4-impregnated zirconium phosphate (ZrP) nanoparticles synthesized by a simple ultrasonication method. The ZrP@Fe3S4 nanoparticles were thoroughly characterized by power X-ray diffraction (PXRD), X-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM), scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDX), and ζ-potential studies. The material exhibits an excellent electrochemical performance for the detection of Pb2+, Hg2+, nitrophenol, nitroaniline, and picric acid with low limits of detection of ca. 0.93, 0.70, 0.98, 1.10, and 1.53 ppm, respectively. Since ZrP@Fe3S4 nanoparticles are magnetically recyclable, their adsorption capacity and recyclability have been thoroughly investigated for the uptake of Pb2+ and Hg2+ ions from contaminated water. We observed that the adsorption of Pb2+ and Hg2+ ions on ZrP@Fe3S4 is best described by the Langmuir isotherm and pseudo-second-order kinetic models, with adsorption capacities of 219.44 and 118.4 mg/g, respectively. Similarly, the removal efficiency of ZrP@Fe3S4 was found to be 91, 57.6, and 31.3% for nitrophenol, nitroaniline, and picric acid, respectively. Furthermore, the theoretical calculations using density functional theory (DFT) were carried out to find the adsorption energy, affinity, and point of adsorption, which are in line with the experimental results. DFT calculations further suggest that the incorporation of Fe3S4 on ZrP improves the surface charge density and promotes efficient electron transfer between the electrode and the analyte. We have shown the real-time analysis of Dal lake water as a proof of concept, and the synthesized composite exhibits good recovery and promising results for metal ion sensing. ZrP@Fe3S4 demonstrated an excellent cycling stability and long-term stability without noticeable degradation for 1 week.

Economic valuation and characterization of heavy metal contamination in Dal Lake Srinagar, Kashmir, India

Dal Lake, the world-famous tourist attraction has been polluted by allochthonous and autochthonous sources, as a result the heavy metal (HMs) concentrations within the water body has reached the toxic levels which is endangering the lives of the people. A study was carried out during the year 2021 (i) to determine the concentration of HMs (molybdenum: Mo, arsenic: Ar, cadmium: Cd, lead: Pb) at the four designated sites of Dal Lake, and (ii) a public survey (400 persons) involving economic valuation of water body in terms of recreational use and other benefits. The highest values of biological oxygen demand (BOD) and chemical oxygen demand (COD) within the Dal Lake were recorded at site A, which were 31 ± 1.10 mg/l and 76 ± 0.64, respectively. Similarly, maximum nitrate nitrogen was found at site A (865 ± 0.86 μg/l). The highest value of Pb was reported (6.828 ± 0.003 ppb) from site A whereas, the lowest from site B (2.492 ± 0.002 ppb). The mean values of Mo concentrations (in ppb) were found to be 2.538 ± 0.002, 1.703 ± 0.003, 3.627 ± 0.004 and 4.787 ± 0.002 at the four sites respectively. The observed values of HMs (in ppb) were much higher than the permissible values (WHO, 2006) and those reported earlier. A huge amount of money (Rs 16,18,66,000/) is being generated from the floating gardens of Dal Lake, calculated by TCM and CVM methods. During the survey, 68 % of people showed a willingness to pay (WTP) for the restoration of the Dal Lake and improved services (mean value: Rs 62,852.20/). Thus, the monitoring and assessment were done to find out how the Dal Lake contributes to the economy of the state by way of its different services and the major attraction for tourists besides the possible reasons for the deterioration of water quality, in order to find a long-lasting solution for the sustainable conservation of Dal Lake.

Comprehensive batch studies on removal of fluoride from aqueous solution by acid and alkali-activated adsorbents prepared from Dal lake weeds: Mechanism, Kinetics and Thermodynamics

An efficient and economical way of eliminating fluoride from water is being investigated by employing the buoyant aquatic plant (Dal weed). Two post-pyrolysis chemical activation alteration techniques were implemented: acidic activation by employing sulfuric acid (H-activation) and alkaline activation using sodium hydroxide (OH-activation). The batch kinetic studies have been carried out considering varying starting fluoride levels such as 2–10 mg/L. The impact of diverse procedural factors, including dosage of Dal weed, starting fluoride level, pH and contact duration was observed to determine their influence on fluoride adsorption kinetics. Based on analyzed exploratory results, removal efficacy of 63% for the OH-activated carbon and 83% for H-activated carbon was achieved at commencing fluoride level of 10 mg/L, adsorbent dosage of 0.8 g, at 25 °C after 120 min. The maximal fluoride uptake capacity for H-activated carbon was observed to be 78.158 mg/g. Kinetic investigations showed that the Freundlich isotherm model provided a satisfactory match with an R2 value of 0.99. The reaction order nature adhered to kinetics resembling pseudo second order. Thermodynamic investigation revealed endothermic sorption, with negative ΔG indicating spontaneous fluoride uptake. In comparison, the positive number for ΔS suggested random behavior at the contact involving the adsorbent and adsorbate. The investigations into the regeneration capabilities of the adsorbent material revealed that even after undergoing for five consecutive cycles of adsorption and regeneration, the adsorbent exhibited an uptake potential of 45%. The presence of competing ions in the solution negatively impacted defluoridation efficacy, with the influence following the order of HCO3−< NO3−< Cl−< SO42−< PO43−.

Environmental risk assessment, spatial distribution, and abundance of heavy metals in surface sediments of Dal Lake-Kashmir, India

This study assesses the pollution levels of Dal Lake in Kashmir, India, focusing on the spatial distribution, abundance, and risk of heavy metals in surface sediments. Granulometric analysis revealed a complex interplay of sedimentation processes, characterized by a wide range of sand (1.25% to 47.03%), silt (2.65% to 58.21%), and clay (38.35% to 94.48%) contents across sediment samples. The average CaCO3 content of 18.65% is notably higher than observed in other regional and global lakes, indicating higher production or preservation of carbonates. The organic matter (OM) content within the sediment samples varied significantly, ranging from 3.9% to 25.01%, reflecting complex sedimentary dynamics. Utilizing environmental assessment indices (Contamination Factor, degree of contamination, Pollution Load Index, Potential ecological risk index, Enrichment Factor, and Geo-accumulation Index) and multivariate statistical analyses (Pearson's Correlation, Principal Component Analysis, Cluster Analysis), it examines the contamination by Iron, Manganese, Cobalt, Chromium, Copper, Nickel, Lead, and Zinc across 32 samples. Results indicate spatial variability in metal concentrations, with Cobalt ranging from 24.1178 ppm to 52.95 ppm and Iron from 25,800.99 ppm to 164,747.82 ppm, highlighting areas of significant contamination and potential ecological risks, especially from Nickel, which exceeds safe levels for benthic invertebrates. The Pollution Load Index suggests moderate contamination of the lake. These findings emphasize the urgent need for continuous monitoring and effective management to protect Dal Lake's ecological integrity.

Kinetic and biosorption analysis of ammonia‑nitrogen (NH3−N) by Bacillus subtilis strain ON358108, isolated from eutrophicated Dal Lake waters in Srinagar, India

Ammonia‑nitrogen (NH3-N) is pivotal in aquatic ecosystems, yet its excess poses ecological and health risks. Through batch experiments, this study investigates Bacillus subtilis' efficacy in degrading ammonia‑nitrogen (NH3-N) Bacillus subtilis adapted to concentrations up to 150 mg/L over days, influenced by temperature, pH, initial ammonia‑nitrogen (NH3-N) concentration, and biomass abundance. In the present investigation, the biosorption of ammonia nitrogen (NH3-N) (from 100 ppm concentration of ammonia nitrogen solution) was maximum (about 89 % ± 1.5 mgg) under conditions: pH 7, adsorbent dosage 0.5 g in 50 mL of ammonia‑nitrogen solution, and temperature of 30 °C. Analytical techniques including SEM, XRD, BET, TEM, and FTIR corroborated findings. Pseudo-second-order kinetics and Langmuir model fitting indicated physical and chemical involvement in biosorption. This study underscores Bacillus subtilis' potential for ammonia‑nitrogen (NH3-N) remediation, providing insights into optimized conditions and mechanistic understanding crucial for water quality management and ecosystem preservation.

Assessing the Health of Dachigam Stream: A Water Quality Analysis

As global populations rise and climate change impacts water cycles, the importance of water resources becomes increasingly critical for human sustenance. Streams, characterized by their unidirectional flow, are valuable systems for studying ecological phenomena across spatial and temporal scales. Maintaining good water quality is crucial for preserving biodiversity and ensuring individual and public health, environmental protection, and sustainable development. Analyzing water chemistry is a valuable tool for monitoring stream health, offering insights into pollutant levels and potential issues. This study assesses the spatiotemporal changes in water quality in the Dachigam stream in Kashmir, India. Data on various water quality parameters were collected over a year at six different sampling locations within the Dachigam National Park and surrounding areas up to the mouth of Dal lake. Parameters such as pH, dissolved oxygen, electrical conductivity, and nutrient concentrations were analyzed to evaluate stream health and identify potential sources of pollution. Results revealed significant spatiotemporal variability was evident in the sampled parameters, revealing notable differences in element concentrations across various sites. There was an observable trend of increasing concentrations from upstream to downstream locations. The observed escalation in pollution levels from upstream to downstream sites underscores heightened anthropogenic impacts in the downstream regions.

Synergistic Sb2S3-NiS2 heterostructure: A robust electrocatalyst for electrochemical sensing of Hg (II), As (III) ions and carbendazim fungicide

We developed a novel modified electrode based on Sb2S3-NiS2 heterostructure for the electrochemical detection of carbendazim, mercury (Hg2+), and arsenic (As3+). XRD, FESEM, HRTEM, and XPS characterization techniques were employed to confirm the formation of Sb2S3-NiS2 heterostructures. In comparison to other electrodes, the Sb2S3-NiS2 modified electrode has a strong electrocatalytic performance towards carbendazim, Hg2+, and As3+ detection. The Sb2S3-NiS2 nanocomposite's superior electrocatalytic activity is ascribed to its high conductivity, charge capacitance, synergistic effect, substantial number of active sites, and metal trap centres. Electrochemical studies such as cyclic voltammetry, LSV, and DPV depict excellent sensing capacity of Sb2S3-NiS2 for carbendazim, Hg2+, and As3+ with an ultralow detection limit calculated as 0.42 nM, 8.3 nM, and 92 nM, respectively. This is much below the upper limit established by the World Health Organization and the US Environmental Protection Agency. The chronoamperometry response and reusability up to weeks suggest excellent and superior stability. Furthermore, the modified electrode successfully detected carbendazim in real samples of apple and tomato juices and Hg2+ ions in the water of the Dal Lake. As far as we know, this is the first report on the Sb2S3-NiS2 heterostructure's electrocatalytic capability. Hopefully, this study will provide new insight into the future fabrication and development of novel electrocatalyst materials.

Length-Weight, Length-Length Relationships and Condition Factor of &lt;i&gt;Crossocheilus diplochilus&lt;/i&gt; (Heckel) from Dal Lake of Kashmir Himalayas

Length-Length Relationships (LLRs) and Length-Weight Relationships (LWRs) are vital tools in the management of fisheries to facilitate a proper understanding of the condition of fish species and the growth pattern from different environments. Despite numerous studies on LWRs and LLRs of fish species, the majority of those have focused on the food fish creating a lacuna in the biometric assessment studies of forage fish. Against this backdrop, the current work was undertaken to estimate the LLRs, LWRs and condition factor of Crossocheilus diplochilus, a forage fish from Dal Lake of Kashmir Himalayas. The fish was reported to show negative allometric growth, attaining a maximum length of 14.8 cm and a maximum weight of 17.19 g. The overall condition factor was reported to be 0.86 ± 0.10, reflecting a poor condition of growth. The fish forms a vital trophic link of the lake, as such timely biometric studies could help in managing its stock properly.

Impact of climate change and anthropogenic activities on lacustrine ecosystems of the Kashmir Valley, NW Himalaya, India

AbstractDue to the significant sedimentation and anthropogenic pressures, the Kashmir Himalaya lakes (Dal, Wular, Manasbal) located within and in the vicinity of urban settlements are experiencing massive degradation. The unique climate, geographic setting, and rock degradation owing to the tectonic uplift of the area, contribute to increased sedimentation in these lakes. The sewage and other anthropogenic pressures have also increased various minerals including nitrogen influx in these lakes. Total organic carbon levels in the Dal Lake are high and range from 2.72% to 25.12%, with nitrogen levels ranging from 0.92% to 9.81%. The total organic carbon of Wular and Manasbal Lakes ranges from 0.83% to 4.52%, and 3.11% to 13.74% with nitrogen ranging from 0.06% to 0.5% and 0.20% to 1.96%, respectively. The estimated sedimentation rates for the Wular, Manasbal, and Dal Lakes are 0.125 cm/yr, 0.44 cm/yr, and 0.93 cm/yr. Given these factors and the geographic setting of Kashmir Himalaya, it is believed that under the sustained threat of climate change and anthropogenic pressure, mitigation strategies to control sedimentation and pollution are unavoidable for the long‐term survival of these valuable ecosystems. This review examines contributing factors, explores potential consequences, and proposes mitigation measures, to save these important aquatic ecosystems from further deterioration.

Biofilm formation and EPS production enhances the bioremediation potential of Pseudomonas species: anovel study from eutrophic waters of Dal lake, Kashmir, India.

The present study was conducted with the aim of isolation and identification of the biofilm-forming denitrifying Pseudomonas bacterial strains from eutrophic waters of Dal lake, India, followed by the study of inter-relation of biofilm formation and denitrification potential of Pseudomonas strains. The bacterial strains were characterized by morphological observations and identified using 16S rDNA sequencing followed by the quantification of biofilm formation of these st by crystal violet (CV) assay using 96-well microtiter plate and extracellular polymeric substance (EPS) extraction. Lastly, the nitrate-reducing potential of all Pseudomonas species was studied. Our evaluation revealed that four different Pseudomonas species were observed to have the biofilm-forming potential and nitrate-reducing properties and the species which showed maximum biofilm-forming potential and maximum EPS production exhibited higher nitrate-removing capacity. Moreover, P. otitis was observed to have the highest denitrification capacity (89%) > P. cedrina (83%) > P. azotoform (79%) and the lowest for P. peli (70%). These results clearly signify a positive correlation of biofilm-forming capacity and nitrate-removing ability of Pseudomonas species. This study has for the first time successfully revealed the bioremediation potential of P. otitis, P. cedrina, P. azotoform, and P. peli species, thus contributing to the growing list of known nitrate-reducing Pseudomonas species. Based upon the results, these strains can be extrapolated to nitrate-polluted water systems for combating water pollution.

Nitrate biodegradation by indigenous bacteria strain Bacillus subtilis obtained from eutrophic waters of Dal Lake Srinagar (India): Mechanisms and optimization

The presence of elevated nitrate concentrations in natural water bodies is a cause of significant concern, owing to its potential ecological and human health ramifications. Dal lake, a eutrophic lake situated in Srinagar, India, which bears a substantial burden of nutrient pollution stemming from various sources. To tackle high nitrate levels, an indigenous bacterial strain from Dal Lake, Srinagar, India, was used for its biodegradative abilities. To enhance biodegradation, the bacterial strain's efficiency was rigorously tested across various environmental conditions, including temperature, nitrate concentration, pH, contact time, and adsorbent quantity. The active isolate, identified through genetic analysis via 16S rRNA sequencing, was determined to be Bacillus subtilis ON358108. Fourier-transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM), BET (Brunauer–Emmett–Teller) analysis (BET), XRD (X-ray diffraction) was employed.These methodologies were employed to scrutinize various aspects of the adsorbent, including surface area, pore volume, crystalline structure, composition, and internal structure were used in characterizing and elucidating the behaviour of functional groups engaged in the biodegradation process, both prior to and post-nitrate uptake. Adsorption mechanisms were established from experiments using the Langmuir, Freundlich, and Temkin models. We analyzed adsorption kinetics using pseudo-first- and pseudo-second-order models. To optimize the nitrate biodegradation process, we applied Response Surface Methodology (RSM) based on a central composite design approach. This approach successfully removed 91 % (±1.5) of the effluent's nitrate with Bacillus subtilis ON358108.Furthermore, our study demonstrated that the selected isotherm models fit the adsorption process in the following sequence: Langmuir > Temkin > Freundlich. In addition, thermodynamic study revealed the process is spontaneous and endothermic.

Kinetic and thermodynamic investigations of copper (II) biosorption by green algae Chara vulgaris obtained from the waters of Dal Lake in Srinagar (India)

Intake of copper (II) heavy metal ions beyond certain permissible limit raises the risk of cancer, liver damage, stomach discomfort and kidney failure. In present study dead green algae Chara vulgaris was used as a sorbent for the elimination of copper (II) from eutrophicated water of Dal Lake in Srinagar India. The roles of pH, equilibrium time and initial copper (II) concentration were evaluated in the said biosorption process. Various analyses, including FTIR, FE-SEM/EDX, HR TEM, XRD, and BET tests, were conducted to understand the copper (II) biosorption mechanism. In present investigation the adsorption of copper (II) ions (from 100 ppm concentration of copper (II) solution) was maximum (about 70 %± 1.5) under conditions; pH 5, equilibrium time 60 min, adsorbent dosage 0.5 g in 50 mL of copper (II) solution, and temperature of 20 °C. The adsorption was better fitted by the pseudo-second-order rate model. The experimental findings indicated the Langmuir model was better suited to the given adsorption processes. The said model demonstrated the involvement of both physical and chemical factors underlying the mechanism of process. The values of thermodynamic parameters ΔG0, ΔH0, and ΔS0under given experimental conditions indicated the process to be spontaneous. Moreover, this work presents a fresh approach for environmentally friendly and affordable extraction of copper (II) from wastewater, utilizing algae Chara vulgaris as a biosorbent. The unique biochemical composition of Chara vulgaris demonstrates a remarkable affinity for copper (II) ions, offering a sustainable approach to mitigate copper pollution.