Monitoring and identification of pollutant groups of the Lagoa Mirim

Located on the Atlantic coast of South America, the Lagoa Mirim watershed occupies an area of 47,362 km2 of direct contribution and 55,110 km2 including the coastal strip. It has a high pollution index of agricultural origin because of the territorial extension of the areas used for this purpose. Another important factor that contributes to the pollution of this lagoon is the launching of untreated urban and industrial sewage into the São Gonçalo watercourse, where Lagoa Mirim interconnects with Lagoa dos Patos. This study aimed to use multivariate statistical methods, such as FA/PCA, to analyze the water quality of this water resource. Water samples were collected in 2014, 2015 and 2016 at eight monitoring points of Lagoa Mirim. Ten parameters of water quality were analyzed. In general, the variables showed a strong correlation with each other. There were four main components of quality for the water body studied with an accumulated explained variance of 80.24%. These components are mainly related to agricultural and urban pollution. The results attest to the relevance of using statistical methods for the monitoring of this lagoon. They also provide an idea of the processes that influence the water quality.

Download Full-text

WATER QUALITY STUDY BASED ON MEIOFAUNA ABUNDANCE AND POLLUTION INDEX IN THE COASTAL ZONE OF LOSARI BEACH, MAKASSAR

Jurnal Ilmu Lingkungan ◽

10.14710/jil.17.1.172-180 ◽

2019 ◽

Vol 17 (1) ◽

pp. 172

Author(s):

Muhammad Sri Yusal ◽

Muh Aris Marfai ◽

Suwarno Hadisusanto ◽

Nurul Khakhim

Keyword(s):

Water Quality ◽

Coastal Zone ◽

Pollution Index ◽

Anthropogenic Activity ◽

Migration Flow ◽

Poor Water Quality ◽

High Pollution ◽

Quantitative Descriptive ◽

Meiofauna Abundance

The coastal zone of Losari Beach is located in a strategic position and rich in potential coastal resources, but the high density of human activities has decreased the quality of the surrounding waters.This study aimed to examine water quality based on meiofauna abundance and pollution index in the coastal zone of Losari Beach, Makassar. It employed a quantitative descriptive approach with purposive sampling method. The identified total meiofauna abundance was117,176 individuals/m2consisting of 138 species from 13 phyla. Ostracoda, olygochaeta, sarcomastigophora, ciliophora, and polychaetawere phyla with the highest abundance because of their high adaptability to polluted aquatic conditions. Meanwhile, tardigrada and aelosomatidaewere found in very low abundance because both phyla only thrive in pollution-free environments and have a pattern of high migration flow from one habitat to another. As for aelosomatidae, the habitat of its speciesis limitedto brackish or saline waters. A good-quality aquatic environment is a habitat for all benthic organisms and enables their even distribution. It explains the discovery of true and temporary meiofauna with uniform or even compositions in the bottom of the waters. The waters in the coastal zone of Losari Beach are heavily polluted. The stationslocated around the traditional Paotere harbor, hotels, restaurants, Losari Beach Platforms, the waste disposal outlets of Stella Maris Hospital, Fort Rotterdam canals, and Jeneberang River mouthhad very high pollution index. Some of these stations had low meiofauna abundance levels, and the poor water quality in their surroundings was caused by anthropogenic activity. Even though the area around TanjungMerdeka Beach had relatively low pollution index, it was categorized as severely contaminated because the index score was >10.

Download Full-text

Use of water quality index and multivariate statistical methods for the evaluation of water quality of a stream affected by multiple stressors: A case study

Environmental Pollution ◽

10.1016/j.envpol.2020.115417 ◽

2020 ◽

Vol 266 ◽

pp. 115417

Author(s):

Memet Varol

Keyword(s):

Water Quality ◽

Statistical Methods ◽

Water Quality Index ◽

Quality Index ◽

Multiple Stressors ◽

Multivariate Statistical Methods ◽

Multivariate Statistical

Download Full-text

Assessment of the Water Quality of the Mirim Lagoon and the São Gonçalo Channel Through Qualitative Indices and Statistical Methods

Water Air & Soil Pollution ◽

10.1007/s11270-021-05160-w ◽

2021 ◽

Vol 232 (5) ◽

Author(s):

Vitória Rovel da Silveira ◽

Marlon Heitor Kunst Valentini ◽

Gabriel Borges dos Santos ◽

Willian Cezar Nadaleti ◽

Bruno Muller Vieira

Keyword(s):

Water Quality ◽

Statistical Methods

Download Full-text

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.295-298.755 ◽

2013 ◽

Vol 295-298 ◽

pp. 755-758 ◽

Cited By ~ 1

Author(s):

Ya Yun Liu ◽

Zhi Hong Li ◽

Xiao Jian Liang ◽

Yan Peng Lin ◽

Rong Hao Wu ◽

...

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Quality Index ◽

Oxygen Demand ◽

Pollution Index ◽

Ammonia Nitrogen ◽

Single Parameter ◽

Water Quality Parameter ◽

National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

Download Full-text

Assessing water quality of Nen River, the neighboring section of three provinces, using multivariate statistical analysis

Journal of Water Supply Research and Technology—AQUA ◽

10.2166/aqua.2018.050 ◽

2018 ◽

Vol 67 (8) ◽

pp. 779-789 ◽

Cited By ~ 2

Author(s):

Duoying Zhang ◽

Guochen Zheng ◽

Shufeng Zheng ◽

Wenbo Guan ◽

Wenjun Zhao ◽

...

Keyword(s):

Water Quality ◽

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Multivariate Statistical

Download Full-text

Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index

Environmental Monitoring and Assessment ◽

10.1007/s10661-017-6171-4 ◽

2017 ◽

Vol 189 (9) ◽

Cited By ~ 18

Author(s):

Shahla Soltani ◽

Asghar Asghari Moghaddam ◽

Rahim Barzegar ◽

Naeimeh Kazemian ◽

Evangelos Tziritis

Keyword(s):

Water Quality ◽

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Multivariate Statistical ◽

Nw Iran

Download Full-text

Analisis Kualitas Air Laut di Area Alur Pelayaran Barat Surabaya di Selat Madura (Quality Analysis of the Saltwater in West Surabaya Fairway in Madura Strait)

Jurnal Rekayasa Sipil dan Lingkungan ◽

10.19184/jrsl.v1i01.3743 ◽

2016 ◽

Vol 1 (01) ◽

pp. 42

Author(s):

Ririn Endah Badriani

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Quality Index ◽

Pollution Index ◽

Quality Analysis ◽

Disposal Site ◽

Marine Biota ◽

Sampling Points ◽

Do Concentration

AbstractPelabuhan Tanjung Perak Surabaya merupakan pelabuhan terbesar di kawasan Indonesia bagian timur. PT PELINDO III melakukan pengembangan Arus Pelayaran Barat Surabaya (APBS). Akibatnya aktivitas sekitar APBS meningkat yang berpotensi menimbulkan pencemaran di perairan. Tujuan penelitian ini untuk menentukan kualitas air berdasarkan baku mutu biota laut dan indek kualitas air di sekitar APBS. Indeks kualitas air yang digunakan adalah Indeks Pencemaran (IP) dan National Sanitation Federation Water Quality Index (NSF WQI). Hasil penelitian menunjukkan bahwa perairan di sekitar APBS dan lokasi pembuangan material keruk mengalami penurunan kualitas air laut dengan beberapa parameter tidak memenuhi baku mutu yaitu TSS 30 mg/l (ST 1), kekeruhan 19 NTU (ST 1), nitrat (0,7 mg/l di ST1dan 0,5 mg/l di ST2) dan di semua titik sampling diperoleh kadar DO (3 mg/l), fosfat 0,02 – 0,6 mg/L dan kecerahan (0,55 - 1.70 m). Indeks kualitas air di sekitar APBS dan lokasi pembuangan material keruk dengan metode IP dihasilkan tercemar sedang (ST 1, S2 dan ST 4 ) dan tercemar ringan (ST 3, ST 5 dan ST 6). Nilai kualitas perairan berdasarkan NSF WQI diperoleh dua kategori yaitu baik ( ST 3, ST 4, ST 5) dan sedang (ST 1, ST 2 dan ST 6).Keywords: aktivitas sekitar APBS, kualitas air, indeks pencemaran, NSF WQI AbstrakTanjung Perak Surabaya is the biggest harbor in the Eastern part of Indonesia. PT Pelindo III implemented the development of the eastern fairway Surabaya (APBS). Consequently, the activities arround them increased. It had potential to cause water polllution. This study is aim to determine the water quality based on standart quality of marine biota and the index of water quality arround APBS. Index of water quality are pollution index (IP) and National Sanitation Federation Water Quality Index (NSF WQI). The result of the study showed that the water harbor arround APBS and the location of dreging material were decreasing in the term of the quaity of the saltwater . The quality of saltwater did not reach the standart quality, which was TSS 30 mg/l (ST 1), the turbidity of 19 NTU (ST 1), nitrate (0.7 mg / l in ST1dan 0.5 mg / l in ST2) and at all sampling points obtained DO concentration (3 mg / l), phosphate from 0.02 to 0.6 mg / L and brightness (from 0.55 to 1.70 m) .Index of water quality arround APBS and dregging material disposal site that was used IP method was medium polluted (ST 1, S2 and ST 4) and lightly polluted (ST 3, ST 5 and ST 6). Values of water quality by NSF WQI obtained two categories: good (ST 3, ST 4, ST 5) and medium (ST 1, ST 2 and ST 6).Kata kunci: the activities arround APBS, water qualiy, pollution index, NSF WQI

Download Full-text

Investigating the Impact of Anthropogenic and Natural Sources of Pollution on Quality of Water in Upper Indus Basin (UIB) by Using Multivariate Statistical Analysis

Journal of Chemistry ◽

10.1155/2019/4307251 ◽

2019 ◽

Vol 2019 ◽

pp. 1-13 ◽

Cited By ~ 2

Author(s):

Mansoor A. Baluch ◽

Hashim Nisar Hashmi

Keyword(s):

Water Quality ◽

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Quality Parameters ◽

Anthropogenic Source ◽

Indus River ◽

Multivariate Statistical ◽

Quality Of Water ◽

The Impact

Water quality of the Indus River around the upper basin and the main river was evaluated with the help of statistical analysis. In order to analyze the similarities and dissimilarities for identifying the spatial variations in water quality of the Indus River and sources of contamination, multivariate statistical analysis, i.e., principle component analysis (PCA), cluster analysis, and descriptive analysis, was done. Data of 8 physicochemical quality parameters from 64 sampling stations belonging to 6 regions (labeled as M1, M2, M3, M4, M5, and M6) were used for analysis. The parameters used for assessing the water quality were pH, dissolved oxygen (DO), oxygen reducing potential (ORP), electrical conductivity (EC), total dissolved solids (TDS), salinity (%), and concentration of arsenic (As) and lead (Pb), respectively. PCA assisted in extracting and recognizing the responsible variation factors of water quality over the region, and the results showed three underlying factors including anthropogenic source pollution along with runoff due to rain and soil erosion were responsible for explaining the 93.87% of total variance. The parameters which were significantly influenced by anthropogenic impact are DO, EC, TDS (negative), and concentration of Pb (positive), while the concentration of As, % salinity, and ORP are affected by erosion and runoff due to rain. The worst pollution situation for regions M1 and M6 was due to the concentration of As which was approximately 400 μg/l (i.e., 40 times higher than minimum WHO recommendation). Furthermore, the results also indicated that, in the Indus River, three monitoring stations and five quality parameters are sufficient to have a reasonable confidence about the quality of water in this most important reserve of Pakistan.

Download Full-text

Water Quality Assessment of Cimanuk River in West Java Using Pollution Index

E3S Web of Conferences ◽

10.1051/e3sconf/20186804009 ◽

2018 ◽

Vol 68 ◽

pp. 04009 ◽

Cited By ~ 2

Author(s):

Ihya Sulthonuddin ◽

Djoko Mulyo Hartono ◽

Suyud Warno Utomo

Keyword(s):

Water Quality ◽

Environmental Protection Agency ◽

Government Regulation ◽

Pollution Index ◽

Quality Standard ◽

World Health ◽

West Java ◽

Index Method ◽

Water Quality Standard

Cimanuk river is one of the seven rivers in West Java. Cimanuk river pollution is indicated to have suffered as a result of the activity of domestic waste, industrial and agricultural uncontrolled in the riparian area of Cimanuk river. This research aims to analize water quality of Cimanuk river based on water quality standard on Government Regulation of Republic of Indonesia (IDN), Regulation of the Governor of West Java (WJ), World Health Organization (WHO), Enviromental Standard of United Kingdom (UK), Environmental Protection Agency (EPA), Enviromental Quality Standard (EQS), and Department of Environment (DOE). This research used pollution index method. The result is water quality of Cimanuk river not meet water quality standard where the TSS (94.85±84,60 mg/L), BOD (9.61±3.16 mg/L), COD (37.69±14.01 mg/L), DO (5.12±1.22 mg/L), NH3N (0.25±0.24 mg/L). Degradation of water quality of Cimanuk river from upstream to downstream marked by increased pollution index value annually. Pollution index of Cimanuk river ranging from 1.25 to 20.31. Water quality status of Cimanuk river has been from lightly polluted to heavilypolluted.

Download Full-text