scholarly journals Relationship between macrobenthos and abiotic characteristics of river Alaknanda in a stretch from Chamoli to Devprayag in Garhwal Himalayan region of Uttarakhand, India

2021 ◽  
Vol 13 (3) ◽  
pp. 1135-1142
Author(s):  
Garima Tomar ◽  
D. S. Malik ◽  
C. K. Jain
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
River Water ◽  
Anthropogenic Activities ◽  
Health Assessment ◽  
High Water ◽  
Water Velocity ◽  
Water Current ◽  
Important Relationship ◽  
Pollution Indicator

Macrobenthos is the best water quality indicator for ecosystem health assessment. The present study aimed to examine the interrelationship between macrobenthos and different water quality parameters of the river Alaknanda at Garhwal Himalaya. Four demarcated sampling zones viz. zone-A (Chamoli to Nandprayag), zone-B (Karanprayag to Rudraprayag), zone-C (Rudraprayag to Srinagar) and zone-D (Srinagar to Devprayag) were taken from its approximately 170 km long stretch during 2016-2018.  River water characteristics were analyzed for the important parameters viz. substratum, water temperature (WT), water velocity, pH, electrical conductivity (EC), total dissolved solids (TDS), calcium (Ca), and magnesium (Mg) using standard methods. The results indicated that the river water velocity was the highest 1.02 m/s at zone-C, TDS of 114.19 mgl-1 was maximum at zone-A ; and Ca and Mg were recorded highest 23.17 mgl-1 and 5.44 mgl-1 at zone-A and zone-B, respectively. All abiotic parameters (pH, EC, TDS, DO, Ca and Mg) were recorded to be below BIS/WHO limits. A total of 27 macrobenthos taxa belonging to the five orders such as Coleoptera (6 ind./m2), Diptera (5 ind./m2), Ephemeroptera (8 ind./m2), Hemiptera (4 ind./m2),  and Odonata (4 ind./m2) were recorded. Macrobenthos represented an important relationship between the water current and water temperature. The lowest number was reported at zone-C due to the river's high water velocity (1.02 m/s). The changes like biota loss, presence of some  pollution indicator species (Cloeon sp., Bateis sp., Emphemera sp.) at zone-C, in sediment structure of habitat were due to the anthropogenic activities on the riverbank of different zones. The study will help in the conservation of macrobenthos diversity of the river Alaknanda.              

scholarly journals Pengembangan Sistem Pemetaan Status Mutu Air Sungai Berbasis Web Menggunakan Extreme Programming

2020 ◽  
Vol 4 (3) ◽  
pp. 36
Author(s):  
Shofwatul Uyun
Keyword(s):  
Water Quality ◽  
River Water ◽  
Information Disclosure ◽  
System Development ◽  
Pollution Index ◽  
High Water ◽  
Extreme Programming ◽  
Programming System ◽  
Water Pollution Index ◽  
The Government

The high water pollution index causes a decrease in water quality so that it can interfere with the health of living things. In order to overcome this, the government has tried to monitor water quality whose results can be known by the community. However, information disclosure and ease of accessing information are felt to be lacking. This study aims to present information about the quality status of river water and its relatively up-to-date and easily accessed by the public online. The storet method is used to determine the status of river water quality with seven parameters: temperature, EC, TDS, pH, DO, BOD and E.coli. The features provided will be explained in the results and discussion presented in several UML diagrams. In order to get results that match user expectations, this system was developed with extreme programming system development methods.

scholarly journals Role of humic substances as refractory organic matter in sustainable water quality assessment and management

2019 ◽  
Vol 20 (2) ◽  
pp. 538-549
Author(s):  
Maoqing Duan ◽  
Xia Du ◽  
Wenqi Peng ◽  
Cuiling Jiang ◽  
Shijie Zhang
Keyword(s):  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Humic Substances ◽  
River Water ◽  
Anthropogenic Activities ◽  
Water Quality Management ◽  
National Development ◽  
Oxygen Demand ◽  
Study Results ◽  
The Impact

Abstract In northern China, river water originating from or flowing through forests often contains large amounts of oxygen-consuming organic substances, mainly humic substances. These substances are stable and not easily biodegradable, resulting in very high detection values of chemical oxygen demand. However, under natural conditions, the dissolved oxygen demand is not as high. Using experimental values to evaluate river water quality and the impact of human activities on water quality is thus unscientific and does not meet national development goals. In this study, the potential sources of high-concentration chemical oxygen demand in river water in two areas exposed to virtually no anthropogenic activities and strongly affected by humic substances, were analysed. The chemical oxygen demand contributed by humic substances (COD-HSs) was quantified using three methods. The results of water quality monitoring in 2017 and 2018 revealed that the chemical oxygen demand concentrations (5–44 mg/L) predominantly exceeded the standard (15 mg/L). The study results suggest that COD-HSs should be considered separately for objective evaluation and management of water quality, particularly in areas that are seriously affected by COD-HSs, to provide a scientific basis for formulating sustainable water quality management policies.

scholarly journals Spatio-Temporal Assessment of Zooplankton Fauna of Uta Ewa Estuary, Akwa Ibom State, Nigeria.

Omni-Akuatika ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 151
Author(s):  
Udeme Effiong Jonah ◽  
Emeka Donald Anyanwu ◽  
Diane Akudo Avoaja
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Anthropogenic Activities ◽  
Water System ◽  
Zooplankton Community ◽  
Dominant Group ◽  
Significant Difference ◽  
Spatio Temporal ◽  
Taxonomic Groups ◽  
Temporal Assessment

Estuaries are influenced by the mixture of river water with seawater; creating unique ecosystems with several physical and chemical processes affecting the water quality. Spatial and temporal assessment of the composition, abundance, and distribution of zooplankton fauna of Uta Ewa Estuarine water system was carried out between May 2019 and February 2020 to assess the effects of anthropogenic activities on the zooplankton assemblage. Water and Zooplankton samples were collected from three (3) stations using standard procedures. Some parameters like water temperature, dissolved oxygen, hydrogen-ion, electrical conductivity, and turbidity were determined in-situ. The ranges of the physico-chemical parameters were: water temperature (24.9-25.3oC), EC (62.3-70.9mS/m), pH (6.5-6.7), turbidity (12.0-28.0NTU), DO (3.8-4.7mg/L), BOD (2.3-3.2mg/L), phosphate (3.2-5.2mg/L), and nitrate (3.0-6.3mg/L). ANOVA showed a significant difference (p<0.05) in the spatial and temporal means values of some parameters. A total of 1,067 individuals from 30 zooplankton taxa and 4 taxonomic groups were recorded. Rotifers (33.4%) were the dominant group, followed by protozoa (32.9%), copepods (20.9%) and cladocerans (13.8%). Station 1 had the highest abundance (388 individuals), station 2 (303 individuals) and station 3(375 individuals). The higher number of individuals (193) was recorded in August 2019. The biodiversity indices pointed to slightly polluted to stable environment. This study showed that the water quality and zooplankton community was influenced by anthropogenic activities both spatially and temporally but season also played a major role in the temporal variation. In conclusion, the water quality was deteriorating due to anthropogenic activities, which in turn affected the structure of zooplankton community. Keywords: Abundance, Assessment, Zooplankton, Physicochemical, Estuary

scholarly journals Water quality and zooplankton community of the Eme River, Umuahia, Southeast Nigeria

2021 ◽  
pp. 1186-1194
Author(s):  
E.D. Anyanwu ◽  
◽  
O.G. Adetunji ◽  
S.N. Umeham ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
Human Activities ◽  
Anthropogenic Activities ◽  
Zooplankton Community ◽  
Sand Mining ◽  
Sample Collection ◽  
Zooplankton Community Structure ◽  
Filtration Method ◽  
Pollution Indicator

Abstract. Aquatic ecosystems and biota are often adversely affected by anthropogenic activities. Consequently, zooplanktons have been used to monitor anthropogenic impacts because of their sensitivity to their environment. Water quality and zooplankton community of the Eme River, Umuahia, was assessed between December 2017 and November 2018. The study was carried out in six stations in relation to human activities. Human activities in the watershed were dominated by sand mining. A quantitative filtration method was used for the zooplankton sample collection while standard sample collection and analytical methods were used for the water samples. The zooplankton species recorded were 27 while the most abundant zooplankton group was Rotifera. A known pollution indicator, Daphnia pulex, had the highest number of individuals. The effects of human activities in the watershed were reflected in the results of some of the physicochemical parameters of the river. The zooplankton assemblage and community structure also reflected the effects of human activities in the river. Combined effects of human activities and season contributed to the relatively low zooplankton abundance recorded particularly in some downstream stations. The impacts of sand mining on water quality and zooplankton were more remarkable in the downstream stations (4 6) where the activity was intense while a large number of children swimming and related activities during the dry season had some impacts in station 1. The dominance of indicator and tolerant species indicated that the river was undergoing eutrophication. Sand mining among other observed anthropogenic activities was a major contributor to the nutrient enrichment in the river. The major water quality parameters influencing the zooplankton community structure was revealed by canonical correspondence analysis.

scholarly journals Assessment of Physicochemical Parameters and Phytoplankton of Eme River, Umuahia, Southeast Nigeria

2021 ◽  
Vol 6 (2) ◽  
pp. 1-12
Author(s):  
Emeka Anyanwu ◽  
◽  
Onyinyechi Adetunji ◽  
Solomon Umeham ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
Phytoplankton Community ◽  
Anthropogenic Impacts ◽  
Anthropogenic Activities ◽  
Abundant Species ◽  
Sand Mining ◽  
Filtration Method ◽  
Pollution Indicator ◽  
The Impact

Aquatic ecosystems respond differently to diverse anthropogenic activities in their watersheds. Phytoplankton is sensitive to their environment and is used to monitor anthropogenic impacts. A study was carried out in a South-eastern Nigerian River between December 2017 and November 2018 in 6 stations; to assess the phytoplankton community, water quality, and anthropogenic impacts. Sand mining was a major activity in the river among others. The phytoplankton was sampled with the filtration method while water was collected and analyzed using standard methods. A total of 36 phytoplankton species were recorded with Chlorophyceae being the most abundant group. The most abundant species - Melosira granulata is a pollution indicator. The water quality and phytoplankton structure showed that the water was tending towards eutrophication. This is attributed to the observed anthropogenic activities and cumulative impacts of all the activities in the watershed. The impact of sand mining activities was observed more in the downstream stations (4 – 6) while perturbation from swimming children and related activities was observed in station 1. The community structure reflected the impacts of the activities while CCA showed the major water quality parameters that influenced the phytoplankton community structure.

scholarly journals Water Quality Index Score in River Water Treatment Plant at Upper Klang and Gombak River Catchment

2019 ◽  
Vol 8 (4) ◽  
pp. 6462-6467
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Anthropogenic Activities ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Class Iii ◽  
Target Class ◽  
River Catchment

National River Water Plants are located along upper Klang and Gombak river catchment to purify the polluted river using direct contact methods. As the current water quality situation in the study area is poor due to the contribution of anthropogenic activities on the water quality degradation in these urban rivers, the investigation was performed using the Water Quality Index. This paper gives the overall performance of RWTP using Water Quality Index (WQI) calculation methods. The WQI act as the basis of environment assessment towards to river water quality classification under Malaysia National Water Quality Standards. As an overall result, 57 percent from the total effluents achieve target Class II and above and another 43 percent achieve Class III and below regardless of two (2) RWTPs are under target from the average monitoring; RWTP Sg Gisir and RWTP Sg Sentul. However, the result for RWTP Sg Sentul is not yet conclusive since the monitoring duration is less than 2 years. Certainly, RWTP Sg Gisir needs to be taken into consideration for more frequent maintenance of the RWTP or upgrading of the RWTP oxidation tank as suggested in several MBBR/IFAS operation. As to improve the RWTP performance to score higher WQI, the introduction of recycling sludge in the biological tank so it will be a shorter reaction time. Additionally, the RWTP owner should implement a frequent maintenance work into RWTP component especially clarifier, sludge collector, biological oxidation tank and rubbish trap collector.

scholarly journals Impacts Assessment of Coastal Activities on Water Quality of Upper Segment of Qua Iboe River, Akwa Ibom State, South-South, Nigeria

2020 ◽  
Vol 24 (7) ◽  
pp. 1217-1222
Author(s):  
U.E. Jonah ◽  
E.S. Iwok ◽  
H.E. Hanson
Keyword(s):  
Water Quality ◽  
Impact Assessment ◽  
Water Temperature ◽  
Anthropogenic Activities ◽  
Water Quality Monitoring ◽  
Federal State ◽  
Human Consumption ◽  
Wet Season ◽  
Mean Values ◽  
Significant Difference

A study was carried out at the supper segment of Qua Iboe River from November, 2018 to August, 2019 in four sampling stations to assess the  impacts of coastal activities on water quality. Water samples were collected monthly and analyzed using standard procedures of Associations of Official Analytical Chemist and American Public Health Association. The stations comparisons and location of significant differences were carriedout using ANOVA and Least Significant Difference (LSD) test, while paired sample t-test were employed to compare the seasonal difference. The mean ranged values of water temperature were (25.03 – 25.330C), pH (5.8 –6.6 mg/l), DO(3.11 - 5.45 mg/l), TDS (18.63 – 32.53mg/l), EC  (8.33-13.16􀀁s/cm), Turbidity (7.61 – 18.32 NTU), TSS (90.80 - 165.63 mg/L), NO3 -1(33.02 – 78.33mg/l), P04 3-(4.44 – 7.39mg/l), Cl-(43.60 – 63.21mg/l), COD(35.96 – 113.05mg/l), NH3(0.33 – 0.62 mg/l). Mean values of TSS, EC, TSS, NO3, PO4 3-, NH3 and turbidity were higher in wet season, while water temperature, pH, DO, Cl- and COD values obtained were higher in dry season. Spatial variations in parameters were ascribed to levels of  anthropogenic activities and wastes discharged within the stations; the seasonal variations were emanated from influx of wastes, and dilution as result of surface run-offs during wet season. Based on the findings, the WQI values were poor for human consumption; especially from station 2 to4.These calls for urgent attention by Federal / State Ministry Health and Environment regards to its effects on human health and consistent water quality monitoring should be put into consideration. Keywords: Impact, Assessment, Coastal activities, Water Quality, Qua Iboe River Keywords: Impact, Assessment, Coastal activities, Water Quality, Qua Iboe River

scholarly journals Irrigation And Risk Of Saline Pollution. Example: Groundwater Of Annaba Plain (North East Of Algeria)

2016 ◽  
Vol 12 (6) ◽  
pp. 241
Author(s):  
Halimi Samia ◽  
Baali Fethi ◽  
Kherici Nacer ◽  
Zairi El moncef ◽  
Bouhsina Saad
Keyword(s):  
Water Quality ◽  
Anthropogenic Activities ◽  
High Water ◽  
North East ◽  
Groundwater Samples ◽  
The Us ◽  
Plain Region ◽  
Analysis Of Results ◽  
Economic Future

In the Annaba plain (Northeast of Algeria), the anthropogenic activities have imposed serious unfavorable impacts on hydraulic, hydrochemical and biological balances that influence the socio-economic future of this area. A hydrochemical analysis was performed in 29 wells distributed over the whole of the plain region during the period of high water (December 2013) to assess the quality of groundwater for its suitability for irrigation. Several parameters were analyzed such as pH, TDS, Ca +2, Mg +2, Na+ , K+ , HCO3 - , Cl- and SO4 - . Analysis of results suggests that groundwater in the study area has the same qualities; however the observed degradation reflects a change in the water quality, and the SAR values vary from 0.08 to 16 with an average of 1.3. The US salinity laboratory, Wilcox, and percentage Na+ it suggest that the majority of groundwater samples are not good for irrigation.

scholarly journals Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

2020 ◽  
Vol 12 (13) ◽  
pp. 5374 ◽  
Author(s):  
Stephen Stajkowski ◽  
Deepak Kumar ◽  
Pijush Samui ◽  
Hossein Bonakdari ◽  
Bahram Gharabaghi
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Temperature ◽  
Real Time ◽  
River Water ◽  
Time Window ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Lstm Network ◽  
River Water Temperature

Advances in establishing real-time river water quality monitoring networks combined with novel artificial intelligence techniques for more accurate forecasting is at the forefront of urban water management. The preservation and improvement of the quality of our impaired urban streams are at the core of the global challenge of ensuring water sustainability. This work adopted a genetic-algorithm (GA)-optimized long short-term memory (LSTM) technique to predict river water temperature (WT) as a key indicator of the health state of the aquatic habitat, where its modeling is crucial for effective urban water quality management. To our knowledge, this is the first attempt to adopt a GA-LSTM to predict the WT in urban rivers. In recent research trends, large volumes of real-time water quality data, including water temperature, conductivity, pH, and turbidity, are constantly being collected. Specifically, in the field of water quality management, this provides countless opportunities for understanding water quality impairment and forecasting, and to develop models for aquatic habitat assessment purposes. The main objective of this research was to develop a reliable and simple urban river water temperature forecasting tool using advanced machine learning methods that can be used in conjunction with a real-time network of water quality monitoring stations for proactive water quality management. We proposed a hybrid time series regression model for WT forecasting. This hybrid approach was applied to solve problems regarding the time window size and architectural factors (number of units) of the LSTM network. We have chosen an hourly water temperature record collected over 5 years as the input. Furthermore, to check its robustness, a recurrent neural network (RNN) was also tested as a benchmark model and the performances were compared. The experimental results revealed that the hybrid model of the GA-LSTM network outperformed the RNN and the basic problem of determining the optimal time window and number of units of the memory cell was solved. This research concluded that the GA-LSTM can be used as an advanced deep learning technique for time series analysis.

Sign in / Sign up

Export Citation Format

Share Document