Lake Water Pollution Research Articles

Climate change driven land use evolution and soil heavy metal release effects in lakes on the Qinghai Tibet Plateau.

In recent decades, global warming has intensified hydrological cycles, raising concerns about the impacts of climate change on hydrological processes, water quality, and water resources across various temporal and spatial scales. These changes significantly affect water resource management and environmental protection policies and may also influence the ecological health and socio-economic well-being of lake regions. Qinghai Lake, the largest inland lake and a major water source reservoir in China, plays a crucial role in the ecological security of the Qinghai-Tibet Plateau. However, in recent years, with the ongoing development of the economy and society throughout the province, there has been an increase in algal blooms in the nearshore area of Qinghai Lake, with the affected area expanding annually. There is currently no clear consensus on the causes of eutrophication in lakes, and comprehensive, in-depth research on how different land use types-critical to the material migration and transformation processes of natural water bodies-affects water quality and ecological security, as well as the interactions between nutrients and heavy metals, is lacking. Therefore, it is essential to monitor and understand the effects of climate change on lakes and to develop adaptive strategies to mitigate and respond to these impacts amidst rapid economic and social development. The lake environmental pollution early warning system developed in this study provides a scientific research paradigm for lake water pollution control and offers valuable data support for policymakers in formulating ecological protection and development strategies.

Spatiotemporal Analysis and Risk Prediction of Water Quality Using Copula Bayesian Networks: A Case in Qilu Lake, China

Lake water pollution under anthropogenic influences exhibits characteristics of high uncertainty, rapid evolution, and complex control challenges, presenting substantial threats to ecological systems and human health. Quantitative risk prediction provides crucial support for water quality deterioration prevention and management. This study employed the Copula Bayesian Network model to conduct a comprehensive risk assessment of water quality in Qilu Lake, China (2010–2020), incorporating inter-indicator correlations and multiple uncertainty sources. Analysis revealed generally “worse” water quality conditions (5.10 ± 1.35) according to established index classifications, with predicted probabilities of reaching “deteriorated” status ranging from 11.80% to 47.90%. Significant spatial and temporal variations in water quality and pollution risk were observed, primarily attributed to intensive agricultural non-point source loading and water resource deficiency. The study established early warning thresholds through key indicator concentration predictions, particularly for the southern region where “deteriorated” risk levels corresponded to specific ranges: TN (3.42–8.43 mg/L), TP (0.07–1.29 mg/L), and CODCr (27.75–67.19 mg/L). This methodology effectively characterizes lake water quality evolution while enabling risk prediction through key indicator monitoring. The findings provide substantial support for water pollution control strategies, risk management protocols, and regulatory decision-making for lake ecosystem administrators.

Recovering NDVI over lake surfaces: Initial insights from CYGNSS data enhanced by ERA-5 inputs

The escalating water pollution in many lakes has led to more frequent occurrences of algal bloom disasters in recent decades. The severity of these disasters can be assessed through remote sensing techniques, specifically using the Normalized Difference Vegetation Index (NDVI) for measurement. However, NDVI observations using optical sensors are often affected by cloud and fog in areas with numerous water bodies, such as Taihu Lake. Sensors operating in the microwave band can effectively mitigate this issue, particularly the emerging Global Navigation Satellite System Reflectometry (GNSS-R), which offers high temporal resolution and cost-effectiveness. In this paper, we propose a new method to recover lake-surface NDVI on cloudy days, utilizing GNSS-R observables and auxiliary meteorological data in conjunction with a machine learning regression algorithm called Bagging Tree. We also examine the effective range of GNSS-R data within this application scenario. Meanwhile, the Weighted Linear Regression-Laplacian Prior Regulation Method (WLR-LPRM) image gap-filling algorithm is used as a benchmark to evaluate recovery accuracy. The regression coefficient of NDVI retrieved using the proposed method is 0.95, with a root mean square error (RMSE) of 0.021 and a mean absolute error (MAE) of 0.010. Compared to the previous work on GNSS-R algal bloom detection with overall accuracy of 0.82, this work shows significant improvement in both accuracy and utility. The recovery of lake surface NDVI provides detailed insights into algal blooms, including quantifiable metrics such as the amount and spatial distribution, which are crucial for effective monitoring and management. Additionally, the recovered image textures exhibit high clarity and closely resemble the reference NDVI images. Experimental evaluation using simulated and actual cloud blocks indicates the model’s robustness to recover NDVI under varying cloud cover conditions. In summary, this study demonstrates the capability of GNSS-R aided by supplementary data for recovering missing NDVI values on lake surfaces when optical observations are absent for the first time.

Evaluation of the efficacy of implementing Ecosystem-Based Management (EBM) strategies within fisheries across the middle and lower Yangtze River basin lakes in China

To mitigate the decline of fishery resources and the exacerbation of water pollution in Chinese lakes and to enhance the potential and sustainable use of lake fisheries, the Chinese government has actively implemented principles and models of ecosystem-based lake fishery management. This includes promoting ecological aquaculture techniques and the “retiring pens to restore lakes” policy. To assess the effects of ecosystem-based management on Chinese lake fisheries, data from 2007 to 2020 were collected for the Qiandao Lake, Tai Lake, Hongze Lake, Luoma Lake, and Gaobao Lake in the middle and lower reaches of the Yangtze River. The study employed Data Envelopment Analysis (DEA) to assess fishing efficiency through a static input-output efficiency model. Additionally, the Malmquist index and distance functions were used for a dynamic comparison of total factor productivity (TFP) across the five lake management models. The results indicate that trends in technological progress, scale efficiency, and TFP were consistent across the lakes from 2013 to 2020. Qiandao Lake, Tai Lake, and Hongze Lake showed a positive average annual growth rate in TFP, with Qiandao Lake having the highest average annual growth rate of 13.2%. In contrast, Gaobao and Luoma Lakes experienced a negative growth rate in TFP. Furthermore, Qiandao Lake exhibited significantly higher technical efficiency than the other four lakes, effectively achieving an efficient state, followed by Hongze Lake. The study demonstrates that technological progress and variations in scale efficiency are the primary factors driving the increase in TFP in fisheries. Promoting ecosystem-based “fishing for water conservation” aquaculture techniques and restricting aquaculture scale through the “retiring pens to restore lakes” policy contribute to enhancing TFP in ecological fisheries.

Microplastics increase the microbial functional potential of greenhouse gas emissions and water pollution in a freshwater lake: A metagenomic study

Aquatic ecosystems are being increasingly polluted by microplastics (MPs), which calls for an understanding of how MPs affect microbially driven biogenic element cycling in water environments. A 28-day incubation experiment was conducted using freshwater lake water added with three polymer types of MPs (i.e., polyethylene, polypropylene, polystyrene) separately or in combination at a concentration of 1 items/L. The effects of various MPs on microbial communities and functional genes related to carbon, nitrogen, phosphorus, and sulfur cycling were analyzed using metagenomics. Results showed that Sphingomonas and Novosphingobium, which were indicator taxa (genus level) in the polyethylene treatment group, made the largest functional contribution to biogenic element cycling. Following the addition of MPs, the relative abundances of genes related to methane oxidation (e.g., hdrD, frhB, accAB) and denitrification (napABC, nirK, norB) increased. These changes were accompanied by increased relative abundances of genes involved in organic phosphorus mineralization (e.g., phoAD) and sulfate reduction (cysHIJ), as well as decreased relative abundances of genes involved in phosphate transport (phnCDE) and the SOX system. Findings of this study underscore that MPs, especially polyethylene, increase the potential of greenhouse gas emissions (CO2, N2O) and water pollution (PO43−, H2S) in freshwater lakes at the functional gene level.

Analysis of the role of local government in the prevention of environmental damage of Lake Toba, North Sumatra, Indonesia

This study aims to investigate the evaluation of the Lake Toba Priority Tourism Master Plan (LTPTMP) for the year 2022. Employing a qualitative research design, the research utilizes a thematic approach. Data collection involves interviews, observations, focus group discussions (FGDs), and document studies. The selection of informants is done through purposive sampling. Thematic analysis is employed for data analysis. Findings indicate that key stakeholders, such as local governments and ministries, exhibit a good understanding and implementation of the LTPTMP. However, the community and Micro, Small, and Medium Enterprises (MSMEs) in the Lake Toba region lack awareness and knowledge regarding the LTPTMP. Challenges in implementing the plan include issues like lake water pollution, deforestation, the presence of waste, especially in tourist-frequented areas, low public understanding and awareness of resource conservation, and inadequate management by the Regional Government. Furthermore, the incomplete infrastructure network hampers visitors’ ability to explore various sites.

Microbial contamination in surface water in urban lakes of Hanoi city, Vietnam

ABSTRACT Urbanisation and demographic growth are putting pressure on surface water quality in many large cities. Microbial water quality, as determined by the presence of fecal indicator bacteria (FIB) was investigated in 15 urban lakes in the inner city of Hanoi, Vietnam from 2021 to 2023. FIB (total coliforms, TC and Escherichia coli, EC) numbers exceeded the allowed values of the Vietnam technical regulation for surface freshwater QCVN 08-MT:2015/BTNMT in most studied lakes. High domestic sewage discharge from residential areas and surface runoff from surrounding areas were the major sources of lake water pollution. High FIB numbers in these lakes mean that the use of water for market gardening or leisure activities or the consummation of fish and other aquatic products from these lakes may pose a risk to the population. These results provide the base of a dataset on water quality, which is a necessary precursor for any scientifically based management plan.

Integration of satellite surveillance and metagenomics for the monitoring and protection of water basins from oil spills

The planetary crisis regarding water resources means that new methods are needed to monitor large areas of water basins that are threatened by chemical and natural pollutants, together with climate change. With the aim to detect oil spill, we applied an algorithm, which could consistently and reliably confirm the presence of oil in four polluted lake waters analyzed. Combined algorithm application and metagenomic analysis from the spill areas that had been detected by the satellite identified drivers of the microbial response to oil pollution. Based on ortholog abundances, metabolic pathway reconstruction carried out in PICRUSt2 highlighted the degradative capacity of these microorganism. These microorganisms could be suitable candidates for treatment of crude oil, aromatic hydrocarbons and the desulfurization of persistent petroleum substances like dibenzothiophene.Environmental changes have been analysed with the combination of satellite monitoring and metagenomic in other studies. Red snow phenomenon, in Franz Josef Land's Arctic observed by satellite, is the result of a microbial succession dominated by Chlamydomonas nivalis, a unicellular, red-colored photosynthetic green algae. Similarly, satellite monitoring and metagenomic monitoring were used to assess the impact on coral reefs of a huge quantity of mud spill from iron ore mining on the Abrolhos Bank reef in Brazil.In our study, the combination of satellite sensing and metagenomics analyses offer useful tools for the real-time monitoring of water bodies threatened by oil spills, as well as for the design of recovery strategies based on the use of valuable hydrocarbonoclastic microorganisms.

Reducing Lake Water Pollution Level With Media Filter Variations

Reducing Lake Water Pollution Level With Media Filter Variations

Reducing Lake Water Pollution Level With Media Filter Variations

Reducing Lake Water Pollution Level With Media Filter Variations

USAGE OF BILECIK LEFKE STONE AND BENTONITE CLAY FOR PHOSPHORUS REMOVAL IN WATER

The rapid increase in the world population, the development of the industry, the excessive usage of fertilizers in agriculture, and the increase in detergents and chemicals used for cleaning accelerate the pollution of water resources. Conservation and recovery of damaged water resources along with the deteriorated ecosystem is of great importance for living things. An important part of water pollution in lakes and rivers is the increase in the content of nutrients. Nutrient elements, especially phosphorus, cause the transparency of water to decrease gradually. Over time, this situation, called eutrophication, causes an algae bloom and the aquatic ecosystem is disrupted. Uncontrolled discharge of wastewater containing phosphorus in high concentrations accelerates this process. These nutrients must be removed in order to maintain water quality and reduce the risk of eutrophication. The main ways of removing phosphorus from water are physical, chemical and biological methods. Among these, as an alternative to settling with chemical substances, the usage of clay (based on fixation) has an important place. In this study, different dosages of bentonite, lefke stone and ferrous sulphate heptahydrate (FeSO4.7H2O) were used in water with three different pH values (4, 7 and 10) and three different phosphorus contents (20, 40, 60 ppm). The per cent yields of the phosphorus removed with ferrous sulphate heptahydrate, lefke stone and bentonite are 72%, 57% and 39%, respectively. In addition, it was determined that the dosage of additives used should be renewed depending on the phosphorus content of the environment and that the high pH value of the environment increased the efficiency, especially in the usage of ferrous sulphate heptahydrate. In conclusion, as an alternative to the usage of chemicals, it has been revealed that lefke stone can be used for phosphorus removal in water, and its effectiveness can be further increased with further studies.

Water Quality Evaluation, Spatial Distribution Characteristics, and Source Analysis of Pollutants in Wanquan River, China

Surface water quality assessment is an important component of environmental protection and sustainable development. In this study, 24 sampling sites were arranged in the Wanquan River area of Hainan Island, China, in 2021, and nine water quality indicators were measured. The water quality of the Wanquan River was assessed using the single factor pollution index method and the Nemerow pollution index method; the spatial distribution characteristics of pollutants were revealed, and the sources of pollution were further analyzed using factor analysis. The results show that the overall water quality of the Wanquan River basin is good, with the average values of all indicators meeting China’s Class III water quality standards. The results of the single factor pollution index method showed that 29% of the sampling sites were in the no pollution class, 38% in the slight pollution class, 25% in the light pollution class, and 8% in the moderate pollution class. The results of the Nemerow pollution index showed that 25% of the sampling sites were in the clean category, 17% in the cleaner category, 42% in the light category, and 17% in the moderate category. The results of the factor analysis show that agricultural activities and domestic sewage discharge are the main sources of pollution, with nitrogen and phosphorus being the most important factors affecting water quality. This paper proposes several measures to reduce water pollution in the Wanquan River, including improving agricultural activities, improving wastewater treatment, and strengthening environmental monitoring. The findings have practical implications for reducing water pollution in rivers and lakes and can provide a reference for policy decisions related to water resource management and environmental protection.

Biosorption potential of viable and dead Aspergillus flavus biomass on polluted pond water

The State Industries Promotion Corporation of Tamil Nadu Ltd (SIPCOT) Lake is never dry; it is always full of water and was recently used as a waste reservoir by the native peoples and industrialists. Thus, this investigation was performed to assess the quality of the lake water and evaluate the possible biosorption potential of Aspergillus flavus on this lake water sample through batch model biosorption study. The water quality parameters analyses revealed that the lake water has been polluted with number of contaminates which including organic and inorganic. The most of the parameters such as pH (9.5 ± 0.7), turbidity (38 ± 1.1 NT unit), TDS (2350.12 ± 31.24 mg L−1), BOD (40.21 ± 3.27 mg L−1), and COD (278.61 ± 11.84 mg L−1), Ca (212.85 ± 9.64 mg L−1), Fe (3.1 ± 0.8 mg L−1), NH3 (15.62 ± 0.5 mg L−1), NO3-(5.84 ± 0.14 mg L−1), Cl− (1257.85 ± 4.6 mg L−1),Cd (15.64 ± 0.29 mg L−1), Cr (6.86 ± 0.34 mg L−1), Pb (25.61 ± 3.41 mg L−1), and Hg (1.8 ± 0.024 mg L−1) content of water sample were beyond the acceptable limits. Fortunately, the A. flavus dead biomass showed considerable biosorption potential (Cd: 27.5 ± 1.1%, Cr: 13.48 ± 1.2%, Pb: 21.27 ± 1.5%, and Hg: 6.49 ± 0.86% in 180 min of contact time) than viable form on polluted lake water. Since, reduced the quantities of most of the parameters which beyond the permissible limit and also increased remarkable percentage of DO in the water sample in a short period of contact time. These findings suggest that A. flavus dead biomass can be used for bioremediation of polluted water in a sustainable manner.

Comparison of the Advantages and Disadvantages of Algae Removal Technology and Its Development Status

In recent years, the frequent outbreaks of cyanobacterial blooms have caused severe water pollution in many rivers and lakes at home and abroad, endangering drinking water safety and human health. How to remove cyanobacteria from water bodies safely, quickly, and economically has attracted the attention of many scientists. Currently, the typical treatment methods for algae in algae-bearing water bodies are physical, biological, and chemical methods. The physical method of algae removal is for both the symptoms and the root cause, but the workload is extensive, with high input costs, and should not be used on a large scale. The biological method is low-cost, but the removal efficiency is slow and unsuitable for the treatment of sudden water bloom. The chemical method can kill algae quickly, but it is easy to cause secondary pollution. These methods are relatively independent of each other, so the choice of a practical combination of technologies is essential for algal bloom removal and eutrophication management. This paper reviews the current application status and advantages and disadvantages of algae removal technologies at home and abroad; classifies them from physical, chemical, biological, and combined methods; and provides an outlook on the future development direction of algae removal technologies.

Abundance and diversity of waterbirds around the Begnas Lake of Pokhara Valley, Nepal

We studied the seasonal abundance and diversity of waterbirds around the Begnas lake of Pokhara Valley. The status of waterbirds in Begnas wetland is not documented so; we monitored the waterbirds using the point count method in 12 different plots around the lake and compared the seasonal abundance and diversity during the 2019 Summer and 2020 winter with 24 hours of observation in each plot. A total of 585 individuals of 25 waterbird species from 10 families were recorded during the study period. Among the recorded species two species were globally threatened and the remaining were the least concerned categories. The greater abundance of waterbirds was recorded during winter (t = -5.98, p < 0.001). The abundance of all feeding guilds was found higher during winter. Cattle egret was recorded with the greatest abundance (N = 85) and Relative abundance (RA = 14.52), it was followed by great cormorant (N = 57, RA = 9.74) and common pochard was the least abundant (N = 2, RA = 0.34). There was no seasonal variation in the Shannon Wiener index (H’) and species evenness however, the species richness was higher during winter (W = 16.5, p < 0.01). Distance to the forest, road, and settlement did not affect the abundance and diversity of waterbirds however, the abundance of insectivore birds was increased with the decrease of distance to croplands (t = -3.13, p < 0.05). The Begnas wetland was found with a lower abundance and diversity of waterbirds in comparison to the Phewa and other wetlands of the Terai region of Nepal. The lake water pollution, infrastructural development, anthropogenic activities, recreational activities, and infestation of invasive plants like water hyacinth were the main threats to the waterbirds around Begnas lake. An awareness program about the conservation of waterbirds and regular monitoring of waterbirds in Begnas was recommended.

Assessment of Recreational Resources for the Development of Parasailing in Large Lakes of Mongolia

One of the basic concepts of tourism is the issue of natural conditions and resources. In the case of developing tourism based on any natural resource, it is important to evaluate the possibilities and potential of that resource. On the other hand, Mongolia’s tourism products are built on the same model, and have no differences from each other, and are not competitive. Therefore, there is a necessity to develop new types of adventure travel and special interest travel based on natural resources. In accordance with this need, this research work was carried out in order to determine whether there are natural conditions and resources for the development of parasailing based on the large lakes of Mongolia. Methodologically, a new recreational resource evaluation system was developed based on 7 criterias: the basic natural factors required for the development of parasailing, such as the area of lake, attractiveness, natural rapids, lake water temperature, air temperature, number of clear days, and the level of lake water pollution. By selecting and evaluating the 5 largest lakes in Mongolia with this system, it was found that Buir, Uvs, Khyargas, and Khar-Us lakes have the potential to develop parasailing. It is hoped that the research results will be valuable information for future studies related to the development of parasailing in Mongolia. Those include developing parasailing itinerary and programs, conducting research on competitor, attracting markets, and ensuring safety, etc.

Novel insights into aerobic denitrifying bacterial communities augmented denitrification capacity and mechanisms in lake waters

Scanty attention has been paid to augmenting the denitrification performance of polluted lake water by adding mix-cultured aerobic denitrifying bacterial communities (Mix-CADBCs). In this study, to solve the serious problem of nitrogen pollution in lake water bodies, aerobic denitrifying bacteria were added to lake water to enhance the nitrogen and carbon removal ability. Three Mix-CADBCs were isolated from lake water and they could remove >94 % of total nitrogen and dissolved organic carbon, respectively. The balance of nitrogen analysis shown that >70 % of the initial nitrogen was converted to gaseous nitrogen, and <11 % of the initial nitrogen was converted into microbial biomass. The batch experiments indicated that three Mix-CADBCs could perform denitrification under various conditions. According to the results of nirS-type sequencing, the Hydrogenophaga sp., Prosthecomicrobium sp., and Pseudomonas sp. were dominated genera of three Mix-CADBCs. The analysis of network indicated Pseudomonas I.Bh25.14 and Vogsella LIG4 were correlated with the removal of total nitrogen (TN) and dissolved organic carbon in the Mix-CADBCs. Compared with lake raw water, the addition of three Mix-CADBCs could promote the denitrification capacity (the removal efficiencies of TN > 78.72 %), microbial growth (optical density increased by 0.015–0.138 and the total cell count increased by 2 times), and organic degradation ability (the removal efficiency chemical oxygen demand >38 %) of lake water. In general, the findings of this study demonstrated that Mix-CADBCs could provide a new perspective for biological treatment lake water body.

Current State of Flooding and Water Quality of Nokoue Lake in Benin (Ouest Africa)

A thorough literature review was conducted in order to discover the previous studies that have been done in relation to the problems of flooding and water pollution of Nokoue lake (Benin, West Africa), to identify the limitations of these previous studies, to draw lessons in order to propose how to overcome them. This bibliographic synthesis has shown that previous studies related to the flooding issue have focused on the dynamics of understanding the genesis of flooding. These studies range from the oldest conducted in 1979 to the most recent conducted in 2016. The major results of these studies in relation to floods are hydrodynamic techniques allowing to evaluate in a punctual way the hydrological regime of the Nokoue lake. In other words, they are solutions allowing to reconstitute the floods generated by the river waters. It appeared that these results of flood reconstitution are difficult to generalize because of the complexity of the hydrographic network of Nokoue lake. The hydrodynamics of Nokoue lake is influenced differently by its main water tributaries (the Sô River, the Ouémé River, the Porto Novo Lagoon and the Atlantic Ocean). Therefore, a decision-making issue on planning and flood management must be motivated by a decision support tool. It is moreover recommended in these studies the resumption of the process of hydraulic techniques periodically during the period of high water in order to take advantage of the hydrological behavior of Nokoue lake in terms of overflow which are at the origin of the floods. The need for innovative decision-making solutions on flood planning and management in order to reduce disasters is still a priority for decision-makers. These innovative solutions are undoubtedly the flood forecasting. On the water quality of Nokoue lake, the oldest study conducted dates back to 1987 and the most recent one in 2018. In these studies, water quality is evaluated in two seasons: the low water season (December to mid-May) and the high-water season. It was found that the salinity of the lake increased significantly with an average of 16 ppt during the low water period while during the high-water period, freshwater inflows from the tributaries invaded the lake and prevented water from the Atlantic Ocean from entering. The concentrations of inorganic nutrients in the lake increase from low water to high water. However, the quantification to date of nutrient loads from external sources as well as internal sources to the lake have not been quantified. This implies that further research on the water quality of the lake could be conducted. Prevention actions should consider a predictive monitoring of the water quality index of Nokoue lake.

Applying synchronous fluorescence spectra with Gaussian band fitting and two-dimensional correlation to characterize structural composition of DOM from soils in an aquatic-terrestrial ecotone

Dissolved organic matter (DOM), the primary participant of carbon and nitrogen cycle, has a great impact on the behavior and fate of organic pollutants and heavy metals in eutrophic lakes. The dynamic spectral properties of DOM fractions were revealed in an aquatic-terrestrial ecotone under the different types of land use. Composite soil samples of different depths (0–20, 20–40 and 40–60 cm) were collected from four different land uses along a disturbed-impact gradient in Taihu Lake, China, i.e., grassland (GRL), forest land (FOL), paddy field (PAF), and vegetable field (VEF). DOM mainly consisted of tyrosine-like material (TYLF), tryptophan-like material (TRLF), microbial humic-like material (MHLF), fulvic-like material (FLF) and humic-like material (HLF) within all soil profiles, where TRLF was the dominant component (61.30 %) using synchronous fluorescence spectroscopy (SFS) combined with principal component analysis and Gaussian band fitting. Based on two-dimensional correlation spectroscopy with SFS and Fourier transform infrared, the variation order of DOM fractions was FLF → MHLF → HLF → TRLF → TYLF within the GRL soil profile, and MHLF exhibited an oppositive change with aliphatic OH and amide I in protein. The order of DOM fractions was MHLF → FLF → HLF → TYLF → TRLF within the FOL soil profile, and the change trend of MHLF remained oppositive with aliphatic OH and CO in ester. The order of DOM within the PAF soil profile fractions was TRLF → MHLF → HLF → TYLF → FLF, and changing trends of TYLF were oppositive to aliphatic OH, CH bending vibration, CH bending vibration and CO in ester. The order of DOM fractions was HLF → TYLF → TRLF → FLF → MHLF within the VEF soil profile, where the changing trend TYLF remained oppositive to aliphatic OH, CH deformations in lignin and aliphatic group and amide I in protein. This study may provide important support for alleviating lake water eutrophication or pollution.

The Characteristics Clustering of Lake Water Pollution Based on Machine Learning Algorithm

The Characteristics Clustering of Lake Water Pollution Based on Machine Learning Algorithm