scholarly journals Abundance of Meiofauna and Physical-Chemical Parameters as Water Quality Indicator

2019 ◽  
Vol 24 (2) ◽  
pp. 81
Author(s):  
Muh Sri Yusal ◽  
Muh Aris Marfai ◽  
Suwarno Hadisusanto ◽  
Nurul Khakhim

The zone of Losari Coast is an icon of Makassar city, however increase activity of surrounding communities causes a decrease in the water quality. Meiofauna is an effective benthic organism used as an indicator of water quality. This study assessed the meiofauna abundance and physical-chemical parameters as water quality indicator in the Losari Coast, Makassar. The sampling method in this study was purposive sampling. The resuts showed that total meiofauna abundance identified was 66791 indv.m-2, composed of 12 phylum and 91 species or genera. Stations at the estuary of the Jeneberang and Tallo River are two sites with high level of abundance, this condition allows presence of organic contaminants triggers the high growth of meiofauna in these locations. Dissolved Oxygen is below its supposed level in waters. Acidity, phosphate and nitrate content at some of research stations exceed the threshold of their allowed presence in waters set by Indonesia government. Ostracoda, oligochaeta, polychaeta, tunicata and ciliophora are phylums with a high level of abundance, because the phylum has  high adaptability to pollutant. Good water quality is indicated by a variety of biota living in the waters, the range of diversity and uniformity indices shows that meiofauna species are categorized highly diverse and evenly distributed. The dominance index shows that there is no species was dominant, except stations around  Losari reclamation project. Temperature, current velocity, depth, brightness, salinity, pH, DO, nitrate-seawater, and phosphate-seawater correlate with meiofauna abundance. The results as a consideration for the management or monitoring of coastal environments.

2021 ◽  
Vol 23 (1) ◽  
pp. 25-32
Author(s):  
Isnaini Nurul Maya Evita ◽  
Riche Hariyati ◽  
Jafron Wasiq Hidayat

Sayung coast is a area with a growing residential, sea ranching, and industrial area. Those aspects produce create waste that could harm the environment, directly or indirectly. Plankton is a biologic component that is used to indicate the changes of water quality in waters that has been polluted. These goals of this research are to know the water quality in Sayung coast area from the abundance of the plankton,  physical-chemical parameter of the water, and also the status of water saprobity. The samples are taken in July 2017 and April 2018, in Sayung coast waters, Demak. Plankton sampling and water from 5 sampling stasions are considered to represent the diversity of the plankton and water stability. Plankton is sampled using plankton net No.25, then preserved using 70% alcohol + 4% formaldehyde. The abiotic data measureted is nitrate content, temperature, pH, salinity, DO, and turbidity. Data analysis are done using Shannon Weiner’s diversity index (H’), diversty index (e), domination index (C), saprobic index. The result shows that there are 49 species of planktons are found, which are 38 fitoplankton, and 11 zooplankton. The highest group is Bacillariophyta which is 14,24%. The diversty index value of H’ 1,58 – 2,45; therefore the Sayung coast waters is catagorized as stable. The index value of e ranges from 0,64 – 1; index C values ranges from 0,08 – 0,22; and the saprobirity index value is in β-Meso/Polisaprobik to α-Mesosaprobik phase with a very light to very high pollution levels. The physical-chemical parameter analysis of Sayung coast waters in overall is still suitable to support plankton’s life.


2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Masaaki Kitajima ◽  
Hannah P. Sassi ◽  
Jason R. Torrey

2017 ◽  
Vol 31 (3) ◽  
pp. 827-837 ◽  
Author(s):  
Jing Li ◽  
Husam Ali Abdulmohsin ◽  
Samer Sami Hasan ◽  
Li Kaiming ◽  
Belal Al-Khateeb ◽  
...  

2021 ◽  
Vol 9 (3) ◽  
pp. 248-261
Author(s):  
A. M. F. de Souza ◽  
S. F. P. Pereira ◽  
L. P. Santos ◽  
C. S. e Silva ◽  
R. M. Rocha ◽  
...  

The quality of the water in the Amazon's reservoirs is of fundamental importance for natural ecosystems, biota, and for the region's population. Maintaining the water quality involves long-term monitoring programs established by the requirements of Brazilian legislation. A web interface may facilitate the use of monitoring results routinely, which allows periodic insertion of previously selected water quality parameters results, to finally provide a simple and direct way to evaluate the water quality. The general objective of this study was to develop a software based on a water quality indicator (WQI) system considering chemical, physical-chemical, and biological parameters evaluated in four seasonal periods in Samuel dam. Multivariate analysis was used to select 10 significant variables (oxidation-reduction potential, dissolved oxygen, total dissolved solids, chlorophyll a, phosphate, Ba, Ca, Fe, Na, and Sn). The web software added innovation to the project, enabling to storage of data from analysis of field-collected samples in an organized and safe way in a database, in addition to speeding up the calculation of the WQI, making it possible to classify the water quality more quickly and accurately.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Fatmawati Patang ◽  
Agoes Soegianto ◽  
Sucipto Hariyanto

The objectives of this study were to clarify and evaluate the water quality of a number of rivers in East Kalimantan province of Indonesia. For this purpose, our study successfully utilized the benthic macroinvertebrates diversity as well as physical-chemical parameters of river’s water. For instance, based on the values of Average Score per Taxon (ASPT) and the National Sanitation Foundation-Water Quality Index (NSF-WQI), Karang Mumus River was categorized as polluted with Chironomus sp. and Melanoides tuberculata as codominant taxa. In addition, Jembayan River exhibited doubtful or moderate quality containing M. tuberculata and A. parvula as codominant taxa. However, Pampang River was found to be the cleanest river with Odonata and Baetidae families as codominant taxa.


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