Indicators Of Organic Pollution Research Articles

Monitoring and Environmental Assessment of Seawater in West Central Africa: Case of the Kribi Industrial and Urban Port Complex in Cameroon, Guinea Gulf

This study is the first of a series of a project on the development and implementation of environmental protection policies, before, during and after the construction of the Kribi Industrial and Urban Port Complex (KIPC). The results will equip the State and scientific structures concerned with the protection of people, water resources and the environment as a whole. This includes reference data on the state of marine pollution in the region dating from the end of realization of the first phase of KIPC known as Kribi Deep-Water Harbor (KDWH). Accordingly, the aim of this work is to assess the current state of KIPC and its surrounding by quantifying the preliminary parameters of suspended matter (SM); to analyze the physical and chemical parameters, chemical pollution indicators for anions and major cations and organic pollution indicators of four water samples taken from four different sites in the project area by filtration and weighing, pH meter, turbid meter, titration, colorimetry and titrimetric methods. The analysis of these samples and these parameters provides results which are slightly similar to international standards. This suggests that the environment remains relatively healthy. Hence, continuous management and monitoring of the parameters and pollution factors is strongly recommended.

The First Finding of Radiolaria Arachnocorys circumtexta Haeckel, 1860 and the Bottom Microalgae in Brown Alga Cystoseira barbata (Stackhouse) C.A. Agardh Epiphyton (Crimea, Black Sea)

The planktonic species Radiolaria of Arachnocorys circumtexta Haeckel, 1860 (Radiolaria, class Nasseillaria, family Lophophaenidae Haeckel, emend. Petrushevskaya, 1971) in the epiphyton of the brown alga Cystoseira barbata (Stackhouse) C.A. Agardh in August 2002 in Martynov Bay (Sevastopol, Crimea) at a depth of 2.5 m at a water temperature of 24.4°C and a salinity of 18‰ was the first time in the Black Sea. Before, this species was indicated by E. Haeckel in the Mediterranean Sea plankton. For the Black Sea, this species is probably invasive. The sizes of Radiolaria blacksea specimens the correspond to the literature data. In addition to Radiolaria and microalgae have been found in the epiphyton of C. barbata, including 14 species of Bacillariophyta and one species of Dinophyta from the genus Prorocentrum Ehrenb. Marine species predominate (67%) and 53% of all species encountered are β-mesosaprobionts – indicators of moderate organic water pollution. 33% of cosmopolites are found in all geographical zones from the Arctic to the Antarctic waters. The aim of this report is presentation of new information about a rare modern Radiolaria and the taxa of benthic microalgae Cystoseira barbata epiphyton from the Black Sea.

Environmental variables and macrophytes of lakes of the Chitwan National Park, Central Nepal

Abstract Wetlands are areas where water is the primary factor controlling the environment, associated plant and animal life. The present study has been conducted to investigate the environmental variables of water and to make a quantitative analysis of aquatic macrophytes. Five lakes, i.e. Tamor, Beeshazar, Kingfisher, Athaieshazar and Chepang of the Chitwan National Park were studied during the post-monsoon season. Four different sites were studied for each lake. 12 replica of water samples were collected from each site of the lakes and environmental variables of water i.e. pH, temperature, dissolved oxygen, total alkalinity, conductivity, total hardness, nitrate, inorganic phosphorus, total solid matter and free CO2 were analyzed. Macrophyte floras were collected during field sampling with the help of a 1m×1m light wooden quadrat and herbaria were prepared following the standard technique. Altogether 10 quadrats (five paired quadrats) were plotted in each site of the study area. Data obtained from water analysis and macrophytes were analyzed by SPSS statistics 20 and CANACO version 4.5. Higher values of nitrate and inorganic phosphorus were found in Beeshazar Lake and Tamor Lake, i.e. 4.41 ±0.52 mg dm–3 and 2.93 ±0.29 mg dm–3, respectively. In most of the lakes, macrophyte species, mostly Eichhornia crassipes was found to be dominant in terms of the importance value index (IVI), whereas in Tamor Lake, Spirodela polyrhiza was dominant. All the studied lakes were in the hypereutrophic category on the basis of nitrate and phosphorus concentration. Runoff of polluted water with agricultural fertilizers, pesticides and untreated industrial discharge as well as domestic wastes from the Khageri canal and excessive growth of invasive macrophytes are major threats to the studied lakes. The luxuriant growth of invasive macrophytes like Eichhornia crassipes also revealed the productive nature of the lakes and they can be taken as ecological indicators of organic pollution.

Zatížení tekoucích vod organickým znečištěním v závislosti na ekonomickém vývoji v České republice

The relationship between economic development and stream water quality in the Czech Republic between 1975 and 2019 was assessed based on an Environmental Kuznets Curve (EKC) model using two main organic pollution indicators: Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD).

Biomarker responses in African sharptooth catfish, Clarias gariepinus (Burchell, 1822), as indicators of potential metal and organic pollution along the Vaal River system, South Africa

The Vaal River is of considerable economic and environmental importance. It flows through five provinces within South Africa and it is subject to numerous recreational and industrial activities, which often prove detrimental to the health of the system. To determine the extent of the impact that these anthropogenic stressors have on the river system, physiological effects in Clarias gariepinus were assessed during a 2016/2017 sample survey using a suite of biomarkers (exposure and effect). Inhibition of acetylcholinesterase and increased metallothionein concentrations were recorded in response to the increase in organic pollutants and metals. Oxidative stress biomarkers, such as superoxide dismutase, showed significant increases in response to possible recent pesticide exposures, whereas lipid peroxidation and protein damage were evident with increased malondialdehyde and protein carbonyl concentrations respectively. The data provide a novel account of the use of biomarkers to assess negative anthropogenic effects observed along the entire length of the Vaal River system.

Improved Water Quality Prediction with Hybrid Wavelet-Genetic Programming Model and Shannon Entropy

Prediction of biochemical oxygen demand (BOD) as the main pollution indicators of organic pollution in freshwater resources is necessary. In the present work, a hybrid wavelet-genetic programming (WGP) method was implemented to improve prediction of BOD. The Shannon entropy was used to identify the optimal input combinations of WGP. In addition, an investigation was done to find which functions of wavelet and decomposition levels have better results in conjunction with genetic programming (GP). For comparison of WGP efficiency, five machine learning methods consisting of WANN (wavelet-artificial neural network), ANN (artificial neural network), GP, DT (decision tree) and BN (Bayesian network) were considered. Experiments on wavelet-processed data revealed that the best results were obtained when the models WGP and WANN were calibrated at three levels of decomposition using the Dmey mother wavelet function. The WGP model created rational forecasts for the peak BOD values. The results show that the use of Shannon entropy is suitable for determining the optimal composition of inputs to machine learning methods. Comparison of the results indicate that the WGP model is superior to the GP, ANN, DT, BN and WANN models based on data from the Varian Hotel and Dam Input stations.

Macrophytes as biological indicators of organic pollution in the Lepenci River Basin in Kosovo

Macrophytes represent one part of the biological quality elements defined by the European Water Framework Directive (WFD) as ‘macrophytes and phytobenthos’. The aim of this study was to evaluate the reliability of ecological status classification by the use of macrophytes for lowland rivers with different habitat conditions, corresponding to EWFD requirements. The classification of water quality is based on the Ecological Quality Ratios (EQRs) which is proposed for the purpose of macrophyte-based classification for the WFD. To determine the ecological quality ratio, we calculated the following indices: River Macrophyte Nutrient Index (RMNI), River Macrophyte Hydraulic Index (RMHI), Macrophyte Index for Rivers (MIR), Number of macrophyte taxa which are not helophytes (NTAXA). Water sources that supply Lepenci River are located in alpine and subalpine areas of the Sharri mountain, which are considered as ecologically clean. Our results show that the water in spring area is clean but as a result of the anthropogenic activities downstream, the river becomes polluted by different pollution substances. This fact is also confirmed by the presence or absence of macrophytes that we used in this work as a biological indicator of water pollution. River Macrophyte Hydraulic Index (RMHI), has shown the highest value at SP6-Gërlicë, with a value of 8.74 that classifies this station downstream the river as the most polluted. The water flow velocity in this station is smooth and as such it is characterized with Macrophyte species associated with this type of water flow. According to the assessment of ecological status with RMNI index, the stations SP7-Kaçanik and SP8-Hani i Elezit, have good water quality and high ecological status and belong to first class (I), whereas the station with poorest water quality (fourth class) and poorest ecological status is rated SP5-Nikë. MIR index classify the quality of water as very good at S8-Hani i Elezit, whereas the values of this index at stations S5-Nikë and S6- Gërlicë indicate the bad water quality and poor ecological status. The largest number of macrophyte species that were not heliophytes was recorded in SP8-Hani i Elezit. We can conclude that the presence of macrophyte species in river varies from nutrient levels in water. Our results show that values of macrophyte based indices reflect the water quality in sampling stations therefore we can consider them as a reliable instrument for the assessment of the ecological status of the rivers.

Distribution Patterns of the Organic Pollution Indicators at Subtidal on Coast Developments in Korea

Distribution Patterns of the Organic Pollution Indicators at Subtidal on Coast Developments in Korea

Phytoplankton as bioindicators of water quality in Nasarawa reservoir, Katsina State Nigeria

Abstract: Aim Phytoplankton monitoring as bioindicators to assess the health of the Nasarawa reservoir and also to evaluate the relationship between phytoplankton and reservoir environmental variables. Methods Phytoplankton and water samples from Nasarawa reservoir (Nigeria) were collected and analysed for ten months (February, 2018 to November, 2018) using standard methods at five sampling sites. Results A total of 38 genera belonging to five major families such as: Bacillariophyceae (42%), Chlorophyceae (24%) Cyanophyceae (13%), Deemidiaceae (18%) and Euglenophyceae (3%) were recorded. Four Phytoplankton classes; Bacillariophyta, Chlorophyta Cyanophyta, and Desmidiaceae show positive close relation with dissolved oxygen, pH, transparency, and total dissolved solids. The overall phytoplankton density in the reservoir was higher in dry season than the wet season. Palmer pollution index was employed to study the water quality of the reservoir. The total score was calculated to be 25, showing evidence of high organic pollution. Conclusions The presence of organic pollution indicators Closterium sp, Navicula sp, Nitzschia sp, Synedra sp, Chlamydomonas sp, Cyclotella sp and Anacystis sp is a warning sign of the deteriorating condition of the water quality in the reservoir. Measures need to be enforced to reduce the rate of pollution of the reservoir arising from the human activities in the catchment of the reservoir.

Floristic diversity of receiving environments polluted by effluent from agri-food industries

Till date, there are few studies on the flora found in receiving environments polluted by effluent from agri-food industries. Floristic inventories of ten receiving environments in Cameroon. were carried out using the line transect method from upstream to downstream discharge areas in the Littoral and Center regions during the dry and rainy season. The abundance/dominance (AD) of each floristic survey was assessed using Braun–Blanquet scale. Species richness of the different receiving environments is marked by higher and lower Shannon Weaver (H′) diversity index values, respectively in the rainy season and dry season from upstream to downstream. Regularity values (R) show that the maximum number of species is involved in the covering of the surface. In terms of floristic composition, the Simpson's diversity index (D) shows similarities between the different receiving environments. The Sorensen index (Q) shows similar number of common species between upstream and downstream zones of the same site. Nitrophilous species are abundant. Some could be organic pollution indicators, namely: Pennisetum purpureum, Cynodon dactylon, Commelina benghalensis, Lemna minor, Acroceras zizanoides, Echinochloa pyramidalis and Panicum maximum. The Poaceae family dominates the ten receiving environments.

Индикаторные микроводоросли бентоса в оценке степени органического загрязнения вод на примере крымского прибрежья Азовского моря

Приведены данные по исследованию микрофитобентоса крымского прибрежья Азовского моря на 17 станциях в заливе Сиваш (восточный и западный), б. Камыш-Бурунская (г. Керчь) и бухтах м. Казантип в течение 2005–2006, 2008–2011 и 2014 гг. Обнаружено 200 видов и внутривидовых таксонов микроводорослей, относящихся к 77 родам. Среди них выделено 78 видов ― индикаторов сапробности с известными биоиндикационными свойствами органического загрязнения вод (относящихся к цианобактериям ― 17 %, к диатомовым водорослям ― 83 %), с использованием которых проведён анализ по экотопам и районам исследования. В составе микроводорослей ведущее место (31 вид) принадлежит индикаторной группе бетамезосапробионтов ― показателей III класса качества вод с умеренным органическим загрязнением с индексом сапробности S = 2,0. Второе место (10 видов) занимает группа олигосапробионтов II класса качества вод, которая является типичной для природных чистых вод с индексом S = 1,0. Установлено, что в изученном регионе отсутствуют негативные для биоты изменения качества вод, что свидетельствует о том, что антропогенное воздействие не превышает самовосстановительного потенциала морской экосистемы. Между тем наличие в бентосных сообществах видов ― индикаторов IV класса качества вод (17–21 %) указывает на постоянный приток органических веществ, которые постепенно утилизируются живой составляющей прибрежных экосистем. Обсуждаются сравнительные данные по соотношению состава индикаторных видов микроводорослей Азовского моря с таковыми в других морях умеренных широт.

Evaluation of Water quality in the Tigris River within Baghdad, Iraq using Multivariate Statistical Techniques

This research concentrated on the Tigris River water quality monitoring information. Some multivariate statistical techniques were applied like basic Ingredient (PC) test, discriminant analysis (DA), multiple linear regression analysis (MLRA) to evaluate important parameters affecting water quality during year 2017-2018. The study included 25 water quality parameters, viz., Temperature (T), Potential of Hydrogen (pH), Turbidity (Tur), Total Alkaline (TA), Full rigidity (TH), Calcium (Ca+2), Chloride (Cl-1), Magnesium (Mg+2), Electrical Conductivity (EC), Sulfate (SO4-2), Total Solids (TS), Suspended Solids (SS), Iron (Fe+2), Fluoride (F-1), Aluminum (Al+3), Nitrite (NO2-1), Nitrate (NO3-1), Silica (SiO2), Phosphate (PO4-3), Ammonia (NH3), Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD5), Chemical Oxygen Demand (COD), Sodium (Na+1), and Total Dissolved Solids (TDS). Generally, all the parameters were within the standards except Tur, TA, Ca+2, EC, SO4-2. The levels of Tur and EC are of critical factors influence upon the Tigris water quality. The PCA identified six principal components responsible for 78.12% of the variation caused by the industrial, domestic, municipal and agricultural runoff pollution sources. DA results produced the eight parameters; T, BOD5, EC, Mg+2, DO, Tur, Na+1, and COD as the most significant parameters differentiating the two parts of the year (the cold and warm seasons). The result of MLRA showed that BOD5, Na+1, T, DO, and PO4-3 are the important dependable factors for predicting the COD value as an indicator of organic and nonorganic pollution. This research demonstrated success importance utilizing Multivariate statistical methods like valuable instrument of administration, control, and preserve the water of the river.

Species Diversity of Epilithon Diatoms and the Quality of the Waters of the Donuzlav Gulf Ecosystem (Crimea, the Black Sea)

In this work, the species diversity of epilithon diatoms of Donuzlav Gulf (Crimean coastal waters of the Black Sea) is presented for the first time. A total of 60 taxa of Bacillariophyta belonging to 3 classes, 18 families and 34 genera were found. The largest number of species (45) of diatoms was observed in summer, and the smallest number of species (12) in winter. A total of 25 saprobity indicator species of diatoms was found on the epilithon, 12 taxa of which belong to a group of betamesosaprobionts—indicators of moderate organic pollution of water. Marine species comprise 55% and brackish-marine ones make up 37% of them, but no freshwater species were identified. The diatom community was dominated by cosmopolites (32%) and arctic–boreal–tropical species (27%). The maximal abundance (186.2 × 103 cells cm−2) and biomass (0.083 mg cm−2) of diatoms was noted in June 2018 at salinity 16.58‰ and T = 24.4 °C with the dominant cosmopolites species of Licmophora abbreviata and Cocconeis scutellum. The minimum values, 14.8 × 103 cells cm−2 and 0.005 mg cm−2, were observed in January 2019 at salinity 16.86‰ and T = 9.0 °C with the dominant Berkeleya rutilans and Nitzschia hybrida f. hyalina. The high values of BOD5, oxidizability, silicon, Norg and Porg were noted, indicating a certain degree of water pollution by domestic sewage. It has been shown that the pollution in the southwestern part of the Donuzlav Gulf is greatest since this part of the coast was populated most densely in comparison with the northern coast of the Gulf where there are no coastal settlements except for two mariculture farms.

Non-pollen palynomorphs notes: 3. Phototrophic loricate euglenoids in paleoecology and the effect of acetolysis on Trachelomonas loricae

Algal palynomorphs are useful indicators of freshwater environments in the past and present, allowing reconstruction of such environmental characteristics as former pH, trophic stage, temperature and salinity. However, the using of algal palynomorphs in paleoecology is restricted by their resistance to natural degradation and acetolysis treatment. In this study, we evaluate the usefulness of the loricate euglenophyte genera Trachelomonas and Strombomonas as paleoecological indicators. In order to evaluate their resistance to degradation, loricae morphology of four Trachelomonas species from the Culture Collection of Algae at Göttingen University (SAG) were studied with and without acetolysis treatment. The experiment demonstrates a strong dissolution under acetolysis of the three species T. hispida, T. lefévrei, T. zorensis and a reduction in the loricae length by T. similis. In the Holocene records, Trachelomonas can be found in non-acetolyzed samples, occurring together with other eutrophication indicators such as cyanobacteria and ciliate Codonella cratera. A review of recent algological literature supports Trachelomonas being a good indicator of organic pollution.

Calidad de agua de los tributarios de la Laguna del Sauce, Maldonado, Uruguay, en base al Índice Diatomológico Pampeano (IDP)

A benthic bioindicator is applied for the first time in water quality monitoring in streams in Uruguay using diatoms. These microalgae are the most diverse group and usually constitute 80-90 % of periphyton. They are recognized throughout the world for their value as indicators of eutrophication and organic pollution because they respond quickly to environmental changes and provide information on the biotic integrity of aquatic ecosystems. Thanks to these characteristics, water quality indexes have been developed based on the presence of certain species in a site. The purpose of this work was to determine which water quality is present in the tributaries of the Sauce Lagoon basin (Maldonado, Uruguay) based on the application of the Pampean Diatom index (IDP). To achieve this, the periphyton in 11 sites of five tributaries of the Sauce Lagoon System was analyzed every two months from July 2015 to December 2016. Within the 238 species determined, 44 had a relative abundance greater than 4%, and of 26 of them, information on the indicator value for the Pampean Diatom Index (Idpi) was available. According to the correspondence analysis, the species were ordered by total nitrogen, total phosphorus and phosphate. The tributaries presented poor quality of water. However, towards the lagoon drain in Represa site and Potrero stream, water quality improved and was considered as acceptable. The water quality monitoring programs could be complemented with the incorporation of this tool and it would be very useful in the assessment of the trophic state of the lotic waters.

Microphytobenthos as an indicator of water quality and organic pollution in the western coastal zone of the Sea of Azov

Abstract Bioindication of organic pollution and seawater quality was carried out for the first time in the western part of the Sea of Azov on the basis of species composition and quantitative characteristics of microphytobenthos. A total of 229 algal samples were collected at 17 sites over the period of 2005-2014 on three different substrates in three areas under study: Sivash Gulf, the Kerch Strait and Cape Kazantip. In total, 200 taxa of algae were found, which belong to six taxonomic divisions with a predominance of diatoms. Among those, 108 taxa are indicators of substrate, water temperature, salinity, water pH, trophic state, the type of nutrition and organic pollution of water. It has been shown that the most active self-purification of water takes place in communities on stony substrates. The largest number of algae species (50%) occurs in the cleanest waters of the Kazantip Nature Reserve (Water Quality Classes I–II). The species composition of organic pollution indicators in Sivash Gulf corresponds to waters of Classes III–IV, which are more polluted than those of the Kerch Strait and Cape Kazantip. All the studied areas of the Sea of Azov are cleaner compared to some waters of the Eastern Mediterranean and the Sea of Japan.

Diatoms (Bacillariophyta) as bio-indicators

Bio-indicators such as diatoms from algae considered to be key factors in ecological studies as an assessment of freshwater ecology. Algae are very sensitive to environmental changes and reflect the spatiotemporal changes on exists or biomass of diatoms in waters. Diatoms have been used not just for the assessment of water quality, but also can be used as an organic pollution indicator in the freshwater ecosystems, such as algal water bloom. The reason for using diatoms as bio-indicators was for several characteristics such as rapid growth, and represent high biomass in the freshwater ecosystem. Also, diatoms have high biodiversity among the other aquatic biota and energy flow and cycling. Compared with the other aquatic biota, diatoms reflect ecological disturbance due to high sensitivity to light, temperature, water flow, pH, and oxygen content. Additionally, diatoms are used as an assessment of eutrophication, organic pollution and climate change.

Predicting biochemical oxygen demand in European freshwater bodies

Biochemical Oxygen Demand (BOD) is an indicator of organic pollution in freshwater bodies correlated to microbiological contamination. High BOD concentrations reduce oxygen availability, degrade aquatic habitats and biodiversity, and impair water use. High BOD loadings to freshwater systems are mainly coming from anthropogenic sources, comprising domestic and livestock waste, industrial emissions, and combined sewer overflows. We developed a conceptual model (GREEN+BOD) to assess mean annual current organic pollution (BOD fluxes) across Europe. The model was informed with the latest available European datasets of domestic and industrial emissions, population and livestock densities. Model parameters were calibrated using 2008–2012 mean annual BOD concentrations measured in 2157 European monitoring stations, and validated with other 1134 stations. The most sensitive model parameters were abatement of BOD by secondary treatment and the BOD decay exponent of travel time. The mean BOD concentrations measured in monitored stations was 2.10 mg O2/L and predicted concentrations were 2.54 mg O2/L; the 90th percentile of monitored BOD concentration was 3.51 mg O2/L while the predicted one was 4.76 mg O2/L. The model could correctly classify reaches for BOD concentrations classes, from high to poor quality, in 69% of cases. High overestimations (incorrect classification by 2 or more classes) were 2% and large underestimations were 5% of cases. Across Europe about 12% of freshwater network was estimated to be failing good quality due to excessive BOD concentrations (>5 mg O2/L). Dominant sources of BOD to freshwaters and seas were point sources and emissions from intensive livestock systems. Comparison with previous assessments confirms a decline of BOD pollution since the introduction of EU legislation regulating water pollution.

Water Quality Evaluation of Post-Tin Mining Ponds Tourism in Bangka Island Using Diatom as Bioindicator

Post tin mining pond in Bangka Island has been used as a tourism place, fishing, fish ponds, and agricultural areas that can reduce water. The purpose of this study is to evaluate quality of water post tin mining pond which is used as a tourist place based on physics, chemical and biotic indices of Diatoms as bioindicator . Sample water and Diatoms were take at 3 post tin mining pond (Itam, Pedindang, and Jangkang 2) and natural swamp (Rawa) as reference site . Sampling e ach pond and swamp was done in three stations as replications and then be observed physic s -chemical quality of water (pH, water temperature, turbidity, conductivity, COD, and phosphate) and also the Trophic Diatom Index (TDI) and Pollution Tolerant Value (% PTV) from Diatom as indicator of trophic status and organic pollution. The results of the study showed that all of the ponds and natural swamp had low pH range from 4.32-6.34. Turbidity of Itam and Pedindang higher (22-24 NTU) than Jangkang 2 and swamp (3.13-9.13 NTU). Jangkang 2 had the highest conductivity value (115,10 μS . cm -1 ) and swamp the lowest (10.64 μS . cm -1 ). The value of COD and total phosphate in all location still fullfilled government standard (COD < 20 mg . L -1 and total phosphate < 0.2 mg . L -1 ). Water quality in ti n mining pond s lower than natural swamps based on Diatom as bioindicator. All of the ponds were categorized as moderately polluted based on Shannon Wiener Diversity index of Diatom (H=1.2-1.6), however swamp have lightly polluted (H=2.6). Trophic status of water in post ti n mining pond s based on Trophic Diatom Index (TDI) included in the eutrophic while in swamp categorized as mesoeutrophic. Based on percentage pollution tolerant value (%PTV), the water in Itam and Pedindang included in heavily organic pollution and water in Jangkang 2 and also swamp have moderately organic pollution. Keywords: Bangka, Diatom , post tin mining pond , tourism, water quality .

Relationship between Macroinvertebrates and Physico-Chemical Parameters to Access Water Quality of the Affon River in B&amp;#233;nin

The Affon River is one of the important rivers of the Oueme River whose benthic diversity remained unknown. The present study aims to make the relationship between macroinvertebrates and physico-chemical parameters to access water quality of the Affon River. The measurement of physico-chemical parameters (temperature, pH, conductivity, transparency, depth and TDS, dissolved oxygen, ammonium, nitrite and phosphate) and the sampling of macroinvertebrates using a Surber net were carried out during floods in eight stations. A principal component analysis (PCA) and canonical correspondence analysis (CCA) were used. The indices of Shannon, Pielou, Simpson, Hilsenhoff, EPT and EPT/Chironomidae were used to assess the level of water pollution. The study identified 9755 macroinvertebrates divided into 4 classes, 14 orders and 49 families. Pollution-sensitive families (14 families) that are organic pollution indicators, as well as pollution-tolerant families (Chironomidae, Limnaeidae, Bithynidae, Physidae) were captured. Chironomidae were the most predominant and abundant family (FO = 100%). The predominance of Chironomidae coupled with the rarity of the Ephemeroptera, Trichoptera and Plecoptera would reflect the poor quality of the Affon River waters. The principal components analysis yielded groups of associations: The first group of stations Taneka 2 and 3 characterized by high values of ammonium and phosphate; and low values of conductivity and TDS; the second group of Taneka 1 and Kolokonde 1 stations with low values of pH, transparency, ammonium and phosphates; and the third group of stations Kolokonde 2, Kpebouko1, Kpebouko 2 and Affon marked by high values of conductivity, TDS, transparency, depth and temperature. The canonical correspondence analysis revealed a strong positive correlation between Nemouridae and ammonium as well as between Perlidae, Taeniopterygidae, Ephemeridae, Heptageniidae, Isonychiidae, Elmidae and phosphate. This study is a crucial step for any management and monitoring of this river.