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.

scholarly journals ASSESSMENT OF SEAGRASS PERCENT COVER AND WATER QUALITY USING UAV IMAGES AND FIELD MEASUREMENTS IN BOLINAO, PANGASINAN

2019 ◽  
Vol XLII-4/W19 ◽  
pp. 233-240
Author(s):  
M. K. M. R. Guerrero ◽  
J. A. M. Vivar ◽  
R. V. Ramos ◽  
A. M. Tamondong
Keyword(s):  
Water Quality ◽  
Regression Analysis ◽  
Chlorophyll A ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Support Vector ◽  
Percent Cover ◽  
Chl A ◽  
Relationship Of ◽  
The Relationship

Abstract. The sensitivity to changes in water quality inherent to seagrass communities makes them vital for determining the overall health of the coastal ecosystem. Numerous efforts including community-based coastal resource management, conservation and rehabilitation plans are currently undertaken to protect these marine species. In this study, the relationship of water quality parameters, specifically chlorophyll-a (chl-a) and turbidity, with seagrass percent cover is assessed quantitatively. Support Vector Machine, a pixel-based image classification method, is applied to determine seagrass and non-seagrass areas from the orthomosaic which yielded a 91.0369% accuracy. In-situ measurements of chl-a and turbidity are acquired using an infinity-CLW water quality sensor. Geostatistical techniques are utilized in this study to determine accurate surfaces for chl-a and turbidity. In two hundred interpolation tests for both chl-a and turbidity, Simple Kriging (Gaussian-model type and Smooth- neighborhood type) performs best with Mean Prediction equal to −0.1371 FTU and 0.0061 μg/L, Root Mean Square Standardized error equal to −0.0688 FTU and −0.0048 μg/L, RMS error of 8.7699 FTU and 1.8006 μg/L and Average Standard Error equal to 10.8360 FTU and 1.6726 μg/L. Zones are determined using fishnet tool and Moran’s I to calculate for the seagrass percent cover. Ordinary Least Squares (OLS) is used as a regression analysis to quantify the relationship of seagrass percent cover and water quality parameters. The regression analysis result indicates that turbidity has an inverse relationship while chlorophyll-a has a direct relationship with seagrass percent cover.

scholarly journals Effect of Maritime Traffic on Water Quality Parameters in Santa Marta, Colombia

2021 ◽  
Vol 9 (5) ◽  
pp. 474
Author(s):  
René Rodríguez-Grimón ◽  
Nestor Hernando Campos ◽  
Ítalo Braga Castro
Keyword(s):  
Water Quality ◽  
Petroleum Hydrocarbons ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Maritime Traffic ◽  
Natural Park ◽  
High Concentrations ◽  
The Impact ◽  
The Relationship ◽  
Multiple Chemical

Since 2013, there has been an increase (>23%) in naval traffic using maritime routes and ports on the coastal fringe of Santa Marta, Colombia. Of major concern, and described by several studies, is the relationship between maritime traffic and coastal contamination. This study proposed a maritime traffic indicator considering the simultaneous effects of several relevant measurements of water quality parameters to estimate the impact of naval activity. The approach involved developing a model including the number of vessels, hull length, and permanence time in berths. In addition, water quality variables, considering climatic seasons, were used to verify association with maritime traffic and touristic activities. The high concentrations of total coliforms (TC) and dissolved/dispersed petroleum hydrocarbons in chrysene equivalents (DDPH) reported by the International Marina of Santa Marta (SM) were affected by the local anthropic activities, including tourism, naval traffic, and urban wastewater discharges. Moreover, our results suggest the occurrence of multiple chemical impacts within Tayrona National Natural Park (PNNT) affecting conservation goals. The estimation of the maritime traffic indicator proposed in this study may be an easy and more complete tool for future studies evaluating the impact of naval activities on environmental quality.

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.

scholarly journals The role of annual periodic behavior of water quality parameters in primary production – Chlorophyll-a estimation

2017 ◽  
Vol 78 ◽  
pp. 311-321 ◽  
Author(s):  
József Kovács ◽  
Péter Tanos ◽  
Gábor Várbíró ◽  
Angéla Anda ◽  
Sándor Molnár ◽  
...  
Keyword(s):  
Water Quality ◽  
Primary Production ◽  
Chlorophyll A ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Periodic Behavior

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 < 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 < 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.

Correlation of Water Quality Parameters in Tolo Harbour, Hong Kong

1992 ◽  
Vol 26 (9-11) ◽  
pp. 2555-2558 ◽  
Author(s):  
K. W. Chau ◽  
Y. S. Sin
Keyword(s):  
Water Quality ◽  
Hong Kong ◽  
Chlorophyll A ◽  
Secchi Depth ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Phosphorus Concentration ◽  
Control Zone ◽  
Chlorophyll A Concentration ◽  
Tolo Harbour

In this paper, long-term biweekly measurements on the various water quality parameters in Tolo Harbour from year 1982 to 1990, subsequent to the declaration of the area as water control zone, were analyzed and correlated. Correlations have been demonstrated between surface chlorophyll-a concentration with secchi depth and with total nitrogen concentration (TN) in the three sub-zones of Tolo Harbour in Hong Kong with different water quality objectives. The correlation between chlorophyll-a concentration and total phosphorus concentration (TP) is less significant which can be explained by the TN/TP ratio. The correlations are useful for water management, planning and effective pollution control on the land-locked estuary.

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 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.

scholarly journals Exploring the Influence Mechanism of Meteorological Conditions on the Concentration of Suspended Solids and Chlorophyll-a in Large Estuaries Based on MODIS Imagery

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 375
Author(s):  
Cheng He ◽  
Youru Yao ◽  
Xiaoman Lu ◽  
Mingnan Chen ◽  
Weichun Ma ◽  
...  
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Suspended Solids ◽  
Quality Parameters ◽  
Meteorological Conditions ◽  
Water Bodies ◽  
Water Quality Parameters ◽  
Yangtze River Estuary ◽  
Modis Imagery ◽  
Chla Concentration

In estuary areas, meteorological conditions have become unstable under the continuous effects of climate change, and the ecological backgrounds of such areas have strongly been influenced by anthropic activities. Consequently, the water quality of these areas is obviously affected. In this research, we identified periods of fluctuation of the general meteorological conditions in the Yangtze River Estuary using a wavelet analysis. Additionally, we performed a spatiotemporal evaluation of the water quality in the fluctuating period by using remote sensing modeling. Then, we explored how the fluctuating meteorological factors affect the distribution of total suspended solids (TSS) and chlorophyll-a (Chla) concentration. (1) The results show that from 2000 to 2015, temperature did not present significant fluctuations, while wind speed (WS) and precipitation (PR) presented the same fluctuation period from January 2012 to December 2012. (2) Based on the measured water sample data associated with Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, we developed a water quality algorithm and depicted the TSS and Chla concentrations within the WS and PR fluctuating period. (3) We found that the TSS concentration decreased with distance from the shore, while the Chla concentration showed an initially decreasing trend followed by an increasing trend; moreover, these two water quality parameters presented different inter-annual variations. Then, we discussed the correlation between the changes in the TSS and Chla concentrations and the WS and PR variables. The contribution of this research is reflected in two aspects: 1. variations in water quality parameters over a wide range of water bodies can be evaluated based on MODIS data; 2. data from different time periods showed that the fluctuations of meteorological elements had different impacts on water bodies based on the distance from the shore. The results provide new insights for the management of estuary water environments.

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