scholarly journals Estimation of Water Quality Parameters with High-Frequency Sensors Data in a Large and Deep Reservoir

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2632
Author(s):  
Cunli Li ◽  
Cuiling Jiang ◽  
Guangwei Zhu ◽  
Wei Zou ◽  
Mengyuan Zhu ◽  
...  
Keyword(s):  
Water Quality ◽  
High Frequency ◽  
Environmental Influence ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
High Temporal Resolution ◽  
Regression Equations ◽  
Chemical Parameters ◽  
Frequency Sensor

High-frequency sensors can monitor water quality with high temporal resolution and without environmental influence. However, sensors for detecting key water quality parameters, such as total nitrogen(TN), total phosphorus(TP), and other water environmental parameters, are either not yet available or have attracted limited usage. By using a large number of high-frequency sensor and manual monitoring data, this study establishes regression equations that measure high-frequency sensor and key water quality parameters through multiple regression analysis. Results show that a high-frequency sensor can quickly and accurately estimate dynamic key water quality parameters by evaluating seven water quality parameters. An evaluation of the flux of four chemical parameters further proves that the multi-parameter sensor can efficiently estimate the key water quality parameters. However, due to the different optical properties and ecological bases of these parameters, the high-frequency sensor shows a better prediction performance for chemical parameters than for physical and biological parameters. Nevertheless, these results indicate that combining high-frequency sensor monitoring with regression equations can provide real-time and accurate water quality information that can meet the needs in water environment management and realize early warning functions.

Assessement of Water Quality Parameters in Some Potential Pollutant Areas from Romania

2018 ◽  
Vol 69 (8) ◽  
pp. 2045-2049
Author(s):  
Catalina Gabriela Gheorghe ◽  
Andreea Bondarev ◽  
Ion Onutu
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Chemical Parameters ◽  
Water Quality Data ◽  
Pollutant Sources ◽  
Water Quality Forecasting

Monitoring of environmental factors allows the achievement of some important objectives regarding water quality, forecasting, warning and intervention. The aim of this paper is to investigate water quality parameters in some potential pollutant sources from northern, southern and east-southern areas of Romania. Surface water quality data for some selected chemical parameters were collected and analyzed at different points from March to May 2017.

scholarly journals Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Wei Chen ◽  
Xiao Hao ◽  
JianRong Lu ◽  
Kui Yan ◽  
Jin Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Real Time ◽  
Monitoring System ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Environment Monitoring ◽  
Long Distance ◽  
Internet Of Things Technology

In order to solve the problems of high labor cost, long detection period, and low degree of information in current water environment monitoring, this paper proposes a lake water environment monitoring system based on LoRa and Internet of Things technology. The system realizes remote collection, data storage, dynamic monitoring, and pollution alarm for the distributed deployment of multisensor node information (water temperature, pH, turbidity, conductivity, and other water quality parameters). Moreover, the system uses STM32L151C8T6 microprocessor and multiple types of water quality sensors to collect water quality parameters in real time, and the data is packaged and sent to the LoRa gateway remotely by LoRa technology. Then, the gateway completes the bridging of LoRa link to IP link and forwards the water quality information to the Alibaba Cloud server. Finally, end users can realize the water quality control of monitored water area by monitoring management platform. The experimental results show that the system has a good performance in terms of real-time data acquisition accuracy, data transmission reliability, and pollution alarm success rate. The average relative errors of water temperature, pH, turbidity, and conductivity are 0.31%, 0.28%, 3.96%, and 0.71%, respectively. In addition, the signal reception strength of the system within 2 km is better than -81 dBm, and the average packet loss rate is only 94%. In short, the system’s high accuracy, high reliability, and long distance characteristics meet the needs of large area water quality monitoring.

Water Quality Parameters and Macroinvertebrates Index of Biotic Integrity of the Jimma Wetlands, Southwestern Ethiopia

2010 ◽  
Vol 3 ◽  
pp. 79-99 ◽  
Author(s):  
Hayal Desta Yimer ◽  
Seyoum Mengistou
Keyword(s):  
Water Quality ◽  
Human Disturbance ◽  
Ecological Status ◽  
Quality Parameters ◽  
Index Of Biotic Integrity ◽  
Water Quality Parameters ◽  
Biotic Integrity ◽  
Chemical Parameters ◽  
Southwestern Ethiopia ◽  
Physico Chemical

The wetlands located at the periphery of Jimma town, southwestern Ethiopia, have critical roles in providing a range of ecological and socio-economic benefits, yet they are subject to increasing anthropogenic disturbances, notably through agriculture, settlement, intensive grazing and brick-making. This study assessed the ecological status of these wetlands, and examined the scale of the human disturbances that local communities might impose on them. Macroinvertebrate communities, water quality parameters, and human disturbance scores were assessed. Except for electrical conductivity and water temperature, no significant difference (P < 0.05) was found in physico-chemical parameters between the sampled sites. Nitrate was the only parameter that correlated with significant influence on species richness of the sampled macroinvertebrates. A total of 10 metrics were used to generate the index of biotic integrity (IBI). This IBI was then tested based on macroinvertebrate data collected. Ways of assessing and evaluating the existing ecological status of the wetlands are discussed in the context of physico-chemical parameters, IBI based on macroinvertebrates and human disturbance scales. Key Words: Catchments land use; Water quality; Macroinvertebrate; Index of Biotic Integrity; Wetland DOI: 10.3126/jowe.v3i0.2265 Journal of Wetlands Ecology, (2009) Vol. 3, pp 77-93

scholarly journals Assessment of Water Quality Parameters of Meghna River Kishoreganj, Bangladesh

2020 ◽  
pp. 29-37
Author(s):  
Romana Rima ◽  
Abdullah Al Ryhan ◽  
Sony Ahmed ◽  
Rafiq Islam ◽  
Sharif Hossain Munshi ◽  
...  
Keyword(s):  
Water Quality ◽  
Winter Season ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Chemical Parameters ◽  
Potential Threat ◽  
Three Rivers ◽  
The Ganges

The Meghna River is one of the most important rivers in Bangladesh, one of the three rivers, the Ganges delta, and the largest delta in the world in the Bay of Bengal. The water quality of Meghna has become a matter of concern due to serious levels of pollution. The present study was conducted to assess the surface water quality of upstream of the Meghna River using physic-chemical parameters in summer and winter season at five different points. Water quality was evaluated by laboratory analysis considering a total of six water quality parameters, pH, DO, BOD, COD, salinity and TDS and water samples were collected from five stations. The study indicates that some parameters exceed the permissible limit for drinking purpose, it may cause potential threat to the human, but the water of this river is not immediate threat to human or ecosystem.

scholarly journals Variation in palladium and water quality parameters and their relationship in the urban water environment

2020 ◽  
Author(s):  
Yuyan Liu ◽  
Fangfang Ding ◽  
Caiye Ji ◽  
Dan Wu ◽  
Lin Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Correlation Coefficient ◽  
Water Body ◽  
Wet Deposition ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Urban Water ◽  
Rainfall Runoff ◽  
Receiving Water

Abstract Palladium (Pd) is widely used in vehicle exhaust catalysts (VECs) to reduce toxic emissions from motor vehicles. The study aimed to quantitatively determine Pd content and water quality parameters, to analyze the variation differences and to explore the effect of water quality parameters on Pd content in the urban water environment system (wet deposition–rainfall runoff–receiving water body–estuary) of the city of Haikou, Hainan Island, China. The method used in this study included microwave digestion under high pressure and temperature, analysis by inductively coupled plasma mass spectrometry, quality control of the experimental procedure and guaranteed recovery (85% −125%). The results showed that the dissolved Pd average content in the urban water environment system was the highest in rainfall runoff (4.93 ng/L), followed by that in the receiving water body (4.56 ng/L), and it was the lowest in wet deposition (0.1 ng/L). The suspended Pd average content was the highest in the estuary (2.83 ng/L), followed by that in rainfall runoff (1.26 ng/L), and it was the lowest in wet deposition (6 × 10−4 ng/L). The particle–water partition ratio of the estuary Pd was the highest (1.26), followed by that of Pd in rainfall runoff (0.26). The particle–water partition ratio of the wet deposition Pd was the lowest (6 × 10−3). The dissolved Pd was correlated with the pH, Cl−, and total suspended solids (TSS) (correlation coefficient = 0.52, −0.68, 0.39, p &lt; 0.05; regression coefficient = 1.27, −1.39, 0.01). The suspended Pd was only correlated with Cl− and TSS (correlation coefficient = −0.36, 0.76, p &lt; 0.05; regression coefficient = −1.45, 0.01). Cl− and TSS were the most closely related to Pd in the water environment system. Although individual factors such as pH, Cl−, and TSS had certain migration and transformation effects on Pd in the wet deposition–rainfall runoff–receiving water body–estuary system, the probability of strong correlations was not high. In particular, Eh was not related to the dissolved nor suspended Pd content (correlation coefficient = 0.14, 0.13), which may be due to the synergistic effect of the multiple physical factors on Pd. This study was helpful to better understand the environmental behavior of Pd and provided important theoretical support for the prevention and protection against urban water environmental pollution.

scholarly journals Technical Note: Testing an improved index for analysing storm discharge–concentration hysteresis

2016 ◽  
Vol 20 (2) ◽  
pp. 625-632 ◽  
Author(s):  
C. E. M. Lloyd ◽  
J. E. Freer ◽  
P. J. Johnes ◽  
A. L. Collins
Keyword(s):  
Water Quality ◽  
Nutrient Transport ◽  
Quality Parameters ◽  
Technical Note ◽  
Water Quality Parameters ◽  
High Temporal Resolution ◽  
Data Sets ◽  
Storm Events ◽  
The Impact ◽  
Process Controls

Abstract. Analysis of hydrochemical behaviour during storm events can provide new insights into the process controls on nutrient transport in catchments. The examination of storm behaviours using hysteresis analysis has increased in recent years, partly due to the increased availability of high temporal resolution data sets for discharge and water quality parameters. A number of these analyses involve the use of an index to describe the characteristics of a hysteresis loop in order to compare storm behaviours both within and between catchments. This technical note reviews the methods for calculation of the hysteresis index (HI) and explores a new more effective methodology. Each method is systematically tested and the impact of the chosen calculation on the results is examined. Recommendations are made regarding the most effective method of calculating a HI which can be used for comparing data between storms and between different water quality parameters and catchments.

scholarly journals Hubungan Kemelimpahan Chlorella sp Dengan Kualitas Lingkungan Perairan Pada Skala Semi Masal di BBBPBAP Jepara

2016 ◽  
Vol 14 (2) ◽  
pp. 77 ◽  
Author(s):  
Siska Aprilliyanti ◽  
Tri Retnaningsih Soeprobowati ◽  
Bambang Yulianto
Keyword(s):  
Water Quality ◽  
Environmental Quality ◽  
Water Environment ◽  
Quality Parameters ◽  
Mass Scale ◽  
Regression Equation ◽  
Water Quality Parameters ◽  
Coefficient Of Determination ◽  
Culture Vessel ◽  
Chlorella Sp

ABSTRAKChlorella   sp merupakan salah satu mikroalga yang sering dibudidayakan untuk berbagai keperluan seperti obat-obatan, kosmetik, atau untuk alternatif  biodiesel Chlorella    sp  merupakan suatu agen bioremediasi yang baik, selain dapat hidup pada lingkungan yang tercemar juga dapat memakai logam berat sebagai logam esensial untuk metabolisme. Banyaknya manfaat yang akan dapat diambil apabila dapat mengembangkan Chlorella    sp pada skala masal. Dengan kemanfaatannya dari Chlorella    sp maka penulis melakukan penelitian dengan menggunakan Chlorella    sp sebagai objeknya. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara kemelimpahan Chlorella    sp dengan kualitas lingkungan perairan di Kabupaten Jepara. Chlorella      sp ini dikultivasi di luar ruangan dengan sumber cahaya berasal dari sinar matahari secara langsung, pengudaraan untuk pencampuran media menggunakan blower yang dialirkan melalui selang dan kran aerasi untuk mencampur media. Aerasi dalam penelitian ini digunakan dengan tujuan agar sel Chlorella   sp dapat memperoleh nutrisi dalam media kultivasi secara merata karena adanya sirkulasi air dalam wadah kultur (Amini, 2006). Dari hasil analisis data diperoleh nilai koefisien determinasi (R2) = 0,995. Hal ini memberikan gambaran bahwa terdapat hubungan yang sangat kuat antara variabel bebas yakni kelima parameter kualitas air (nitrat, fosfat, temperature, pH dan salinitas) dengan variabel terikat yakni kemelimpahan Chlorella   sp . Selanjutnya diperoleh persamaan regresi linier berganda sebagai berikut:Y =  -5323.54 -16.80 nitrat -60.78 fosfat   + 111.09 temperatur  + ; 997.26 pH -191.92 salinitas. Dari persamaan regresi tersebut memperlihatkan bahwa parameter kualitas air yang memiliki hubungan searah (berbanding lurus) adalah temperature  dan pH. Sedangkan parameter kualitas air yang memiliki hubungan berbanding terbalik yaitu; nitrat,fosfat dan salinitas. Hubungan kemelimpahan Chlorella   sp dengan kualitas lingkungan perairan skala semi masal kuat, hasil analisis regresi didapat nilai Adjusted R2 0,995, artinya persentase sumbangan pengaruh variabel nitrat ,fosfat,temperature, pH dan salinitas terhadap kemelimpahan Chlorella   adalah sebesar 99,5% dan sisanya dipengaruhi oleh faktor lain. Nilai koefisien / pengaruh tertinggi terdapat pada parameter pH yaitu (997,49).Kata kunci: Chlorella  sp, kualitas lingkungan, semi masal, Jepara ABSTRACTChlorella sp is one of the microalgae are often cultivated for various purposes such as pharmaceuticals, cosmetics, or for alternative biodiesel Chlorella sp an agent of bioremediation good, but can live in a polluted environment can also wear a heavy metal as the metal essential for metabolism. The many benefits that will be taken if it can develop Chlorella sp on a mass scale. With the emergence of Chlorella sp author conducted research using Chlorella sp as its object. The purpose of this study was to determine the relationship between the abundance of Chlorella sp with the quality of the water environment in the district of Jepara.Chlorella sp is cultivated outdoors with a light source coming from direct sunlight, aeration for mixing media using a blower that flowed through the hose and faucet aeration to mix media. Aeration used in this study with the aim of Chlorella sp cells can obtain nutrients evenly in cultivation media for their water circulation in the culture vessel (Amini, 2006). From the analysis of data obtained by the coefficient of determination (R2) = 0.995. This illustrates that there is a very strong relationship between the independent variables namely the five parameters of water quality (nitrates, phosphates, temperature, pH and salinity) with the dependent variable abundance of Chlorella sp. Furthermore, multiple linear regression equation as follows: Y = -5323.54 -16.80 -60.78 nitrate phosphate + 111.09 + temperature; 997.26 -191.92 pH salinity. From the regression equation shows that the water quality parameters that have a unidirectional relationship (proportional) is temperature and pH. While water quality parameters which have an inverse relationship, namely; nitrate, phosphate and salinity. Chlorella sp abundance relationships with water environmental quality semi massive scale strong, the results of the regression analysis obtained Adjusted R2 value of 0.995, meaning that the percentage contribution of variables influence nitrates, phosphates, temperature, pH and salinity of the abundance of Chlorella is 99.5% and the rest is influenced by factors other. The coefficient of impact / highest in pH parameters ie (997.49).Keywords:  Chlorella sp, environmental quality, semi-massive, JeparaCara sitasi: Apriliyanti, S., Soeprobowati, T. R., Yulianto, B. (2016). Hubungan Kemelimpahan Chlorella sp dengan Kualitas Lingkungan Perairan pada Skala Semi Masal di BBBPBAP Jepara. Jurnal Ilmu Lingkungan,14(2),77-81, doi:10.14710/jil.14.2.77-81

scholarly journals Keterkaitan Hubungan Parameter Kualitas Air Pada Budidaya Intensif Udang Putih (Litopenaeus vannamei)

2021 ◽  
Vol 12 (1) ◽  
pp. 18-28
Author(s):  
Heri Ariadi ◽  
Abdul Wafi ◽  
Muhammad Musa ◽  
Supriatna Supriatna
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Shrimp Farming ◽  
Water Quality Parameters ◽  
Test Results ◽  
Chemical Parameters ◽  
Shrimp Culture ◽  
Physical Chemical ◽  
Microbiological Parameters ◽  
The Relationship

Water quality parameters play an important role in intensive pond ecosystems. The purpose of this study was to determine the relationship between of water quality parameters in intensive shrimp farming of L. vannamei. This research was carried out for 95 days of intensive shrimp farming in PT. Menjangan Mas Nusantara Company, Banten, with the physical, chemical, and microbiological parameters of water as the main reference object of observation. The results showed that during the shrimp culture period the pond water quality parameter concentration was considered to be quite optimal with a stable fluctuation trend, except for the salinity and TOM parameters whose values ​​were above the water quality standard. Correlation test results state that between the physical chemical parameters have a strong and heterogeneous relationship, with the strongest parameters of pH, phosphate, nitrite, and TOM. As for the microbiological variables, the correlation of physical chemistry parameters of water is considered to be very weak, because from the correlation test results, only DO parameters showed the correlation with microbiological parameters. The conclusion of this study, that during intensive shrimp culture period, the physical and chemical parameters of water have a strong correlation of association between one another and the highest are pH, phosphate, nitrite, and TOM, but only dissolved oxygen parameters that show the relationship correlation with microbiological parameters.

Application of Correlation and Regression Models in Predicting the Physico-chemical Quality of Groundwater from Insitu Measured Parameters

2021 ◽  
Vol 6 (6) ◽  
pp. 19-38
Author(s):  
J. E. Agori ◽  
H. U. Nwoke ◽  
B. C. Okoro ◽  
B. U. Dike
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Correlation Coefficient ◽  
Regression Models ◽  
Correlation Coefficients ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Analysis Tool ◽  
Regression Equations ◽  
Physico Chemical

Groundwater is the major source of municipal and private potable water supply for meeting the drinking, domestic, agricultural and industrial requirements on man around the world. The cost of analyzing water quality in the laboratory to ascertain its potability is usually high and sometimes not available. Groundwater samples were collected from fifty (50) spatially referenced bore well locations in Warri and its environs in the dry and wet seasons (November 2019 to January 2020) in the study area. The water samples were analyzed for twenty-six (26) physical, chemical and bacteriological parameters both in the field and laboratory in line with APHA standard procedures for testing water and waste water inorder to evaluate the status of potability of groundwater across Warri, Delta State Nigeria. The data analysis tool in Microsoft Excel was used to explore and study the interrelationship between some conservative parameters measured in the field (pH, EC, TDS, and DO) as independent variables and some cations, anions and heavy metals (Na, Mg, Ca, HCO3, SO4 Cl, Fe, Cd, Cr, Cu and Pb) analysed in the laboratory as dependent variables. The results obtained from the parameters analysed insitu in the field which are cheap to perform and easily affordable were used to check and evaluate and the inter-relationships with some cations, anions and heavy metals. Highly correlated water quality parameters were determined by correlation coefficient (R) values obtained from correlation matrix and related by Regression equations (models). The regression models can be adopted to predict the concentration of these cations, anions and heavy metals before the rigorous laboratory analysis, to serve as a quick check for concentration of most disease-causing pollutants and to save time, money and resources, especially the near absence of AAS for analysing heavy metals in a good number of laboratories. The regression models developed in the study can be used for monitoring the water quality parameters by knowing the concentration of independent parameters obtained in the field alone. There is a relationship between variables which show that one variable actually causes changes in another variable. It was observed that multiple regression models can predict most parameters at 5% level of significance. Significantly positive correlation at 1 and 5% was found between many parameters. This technique studied and calculated the correlation coefficients between various physico-chemical parameters of drinking water and provided an excellent device for the calculation of parameter values within realistic degree of accuracy. The results proved to be easiest, useful, and rapid means for monitoring of water quality with the help of systematic calculations of correlation coefficient. It is recommended to treat groundwater prior to domestic use.

Correlation Analysis between Primary Productivity Factors and Water Environment Factors

2013 ◽  
Vol 448-453 ◽  
pp. 902-907
Author(s):  
Shih Chieh Chen ◽  
Chao Cheng Chung ◽  
Wen Liang Lai ◽  
Chung Yi Chung ◽  
Hwa Sheng Gau ◽  
...  
Keyword(s):  
Water Quality ◽  
Correlation Analysis ◽  
Chlorophyll A ◽  
Primary Productivity ◽  
Explanatory Power ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Canonical Variables ◽  
The Relationship

In this study, we use canonical correlation analysis to interpret the relationship between water quality parameters (T, Alk, Cl, EC, TN, TP, UV-254, pH, HPC, DO) and primary productivity parameters (algae and chlorophyll-a). In these two sets of constructed canonical variables, the water quality parameters can account for 39.25% of the total variance of primary productivity. The majority of the explanatory power is from the first set of canonical variables, which has a correlation coefficient of 0.84. The main factors that control chlorophyll-a are HPC, Alk, T, TN, and pH.

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