scholarly journals Assessing the Relationship between Pollution Sources and Water Quality Parameters of Sungai Langat Basin using Association Rule Mining

2020 ◽  
Vol 49 (10) ◽  
pp. 2345-2358
Author(s):  
Nurizah Abdul Hasib ◽  
Zalinda Othman
Keyword(s):  
Water Quality ◽  
Association Rule ◽  
Association Rule Mining ◽  
Quality Parameters ◽  
Pollution Sources ◽  
Water Quality Parameters ◽  
Rule Mining ◽  
The Relationship

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 Investigating Health Equity and Healthcare Needs among Immigrant Women Using the Association Rule Mining Method

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 195
Author(s):  
Ming-Hseng Tseng ◽  
Hui-Ching Wu
Keyword(s):  
Association Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Immigrant Women ◽  
Parental Knowledge ◽  
Physical Factors ◽  
Rule Mining ◽  
Socioeconomic Characteristics ◽  
Healthcare Needs ◽  
The Relationship

Equitable access to healthcare services is a major concern among immigrant women. Thus, this study investigated the relationship between socioeconomic characteristics and healthcare needs among immigrant women in Taiwan. The secondary data was obtained from “Survey of Foreign and Chinese Spouses’ Living Requirements, 2008”, which was administered to 5848 immigrant women by the Ministry of the Interior, Taiwan. Additionally, descriptive statistics and significance tests were used to analyze the data, after which the association rule mining algorithm was applied to determine the relationship between socioeconomic characteristics and healthcare needs. According to the findings, the top three healthcare needs were providing medical allowances (52.53%), child health checkups (16.74%), and parental knowledge and pre- and post-natal guidance (8.31%). Based on the association analysis, the main barrier to the women’s healthcare needs was “financial pressure”. This study also found that nationality, socioeconomic status, and duration of residence were associated with such needs, while health inequality among aged immigrant women was due to economic and physical factors. Finally, the association analysis found that the women’s healthcare problems included economic, socio-cultural, and gender weakness, while “economic inequality” and “women’s health” were interrelated.

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 Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Yang Ou ◽  
Zheng Jiang Liu ◽  
Hamid Reza Karimi ◽  
Ying Tian
Keyword(s):  
Genetic Algorithm ◽  
Resource Management ◽  
Association Rules ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Immune Genetic Algorithm ◽  
Coding Scheme ◽  
The Relationship ◽  
Multilevel Association Rules

This paper is concerned with the problem of multilevel association rule mining for bridge resource management (BRM) which is announced by IMO in 2010. The goal of this paper is to mine the association rules among the items of BRM and the vessel accidents. However, due to the indirect data that can be collected, which seems useless for the analysis of the relationship between items of BIM and the accidents, the cross level association rules need to be studied, which builds the relation between the indirect data and items of BRM. In this paper, firstly, a cross level coding scheme for mining the multilevel association rules is proposed. Secondly, we execute the immune genetic algorithm with the coding scheme for analyzing BRM. Thirdly, based on the basic maritime investigation reports, some important association rules of the items of BRM are mined and studied. Finally, according to the results of the analysis, we provide the suggestions for the work of seafarer training, assessment, and management.

Research on Method of Confirming Typical SWMM Water Quality Parameters

2011 ◽  
Vol 243-249 ◽  
pp. 5308-5313 ◽  
Author(s):  
Hai Yan Li ◽  
Li Tao Yue
Keyword(s):  
Water Quality ◽  
Rate Constant ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Model Parameters ◽  
Rainfall Runoff ◽  
Relationship Of ◽  
The Relationship ◽  
Swmm Model ◽  
Buildup Rate

Taking a roof in Shanghai for example, through the comparison of the relationship of rainfall and SS load in a single rainfall runoff obtained by experiment and SWMM simulation, typical water SWMM model parameters (maximum buildup possible C1, buildup rate constant C2, washoff coefficient S1 and washoff exponent S2) could be obtained. With this method, other cities’ water quality parameters for SWMM simulation could be confirmed, so as to provide basis for simulating water quality by SWMM.

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.

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