scholarly journals Impact of Water Quality Detorioration in Mangrove Forest in Semarang Coastal Area

2021 ◽  
Vol 2 (2) ◽  
pp. 37-48
Author(s):  
Kenanga Sari ◽  
Tri Retnaningsih Soeprobowati

The fast-growing development and industrialization have caused various impacts on nature including heavy metal pollution, especially in the coastal area. Tambakredjo, located in the North Semarang city, is home to a large number of mangrove and animal species. Therefore, water quality is important. This study was conducted to analyze water quality in the coastal area of Tambakredjo based on physical and chemical measurements. Water quality data were collected from different sites. Physical parameters (temperature, pH, DO, EC, TDS, ORP and salinity) and chemical parameters (Total N, Total P, Pb, Cr, Cd) were observed. Multivariate statistical techniques, including Principal Component Analysis (PCA), was applied to evaluate water quality. The results showed first principal component is 76.27%, where the highest conductivity, total dissolved solids and salinity are associated with site 1. Content of Lead 1.289 ppm, Cadmium 0.021 ppm, and Chromium 0.352 ppm exceeds the water quality standard PP. No. 82/2001. It indicated that Site 1 was characterized as the most heavily polluted site because the location received pollutants from rivers and oceans. This study also examined the short-term changes of the mangrove-covered area at the side of Banjir Kanal Timur using historical map satellite images. The results show that mangrove coverage in Tambakredjo near the aquaculture area had decreased from 1,875m2 to 1,401m2. Meanwhile, on the other site, the mangrove planting effort as a restoration program is carried out, especially in the estuary of Banjir Kanal Timur to anticipate more environmental changes.

2017 ◽  
Vol 9 (1) ◽  
pp. 235-246
Author(s):  
Etty Riani ◽  
Harry Sudrajat Johari ◽  
Muhammad Reza Cordova

Seribu Islands located in the north of Jakarta Bay; it is potentially polluted by heavy metal such as Cd and Pb. The aims of this study is to prove contamination presumption, by analyzing and determine correlation Cd and Pb concentration in the sediment, in the water and on milkfish Chanos chanos cultured in this area. On this study, we collected water quality data (pH, temperature, dissolve oxygen and salinity) and heavy metals contamination (Cd and Pb) in the sediment, in the water and on milkfish.  We compare collected data with quality standar and correlate heavy metal concentration between in the water and in the sediment; in the water and on milkfish organ; and, in the sediment and on milkfish organ.  In general, water quality is sufficient enough to support the life of farmed milkfish. Cd and Pb contamination level in the water lied below the quality standard of Ministry of Environment decree No. 51/2004 in the last April and July. However, the contamination exceeds the standard in the last October. The contamination in sediment lied below RNO (1981), EPA (1999) and IACD/CEDA (1997). Gills, viscera and the meat of the milkfish are contaminated with Cd and Pb, yet, still lied below the quality standard of Ministry of Environment Decree No. 51/2004. The results showed that farmed milkfish in Thousand Islands are safe to eat. We also found that the correlation of Cd and Pb contamination between water and sediment is positive. The correlation of Cd is much higher than Pb. The correlation of Cd between water and viscera as well as between sediment and viscera are the most closely related than any other organ.  Keywords: contamination, Cd, farming, milkfish, Pb, Seribu Islands


2017 ◽  
Vol 9 (1) ◽  
pp. 235
Author(s):  
Etty Riani ◽  
Harry Sudrajat Johari ◽  
Muhammad Reza Cordova

<p><em>Seribu Islands located in the north of Jakarta Bay; it is potentially polluted by heavy metal such as Cd and Pb. The aims of this study is to prove contamination presumption, by analyzing and determine correlation Cd and Pb concentration in the sediment, in the water and on milkfish <span style="text-decoration: underline;">Chanos</span> <span style="text-decoration: underline;">chanos</span></em> <em>cultured in this area. On this study, we collected water quality data (pH, temperature, dissolve oxygen and salinity) and heavy metals contamination (Cd and Pb) in the sediment, in the water and on milkfish.  We compare collected data with quality standar and correlate heavy metal concentration between in the water and in the sediment; in the water and on milkfish organ; and, in the sediment and on milkfish organ.  In general, water quality is sufficient enough to support the life of farmed milkfish. Cd and Pb contamination level in the water lied below the quality standard of Ministry of Environment decree No. 51/2004 in the last April and July. However, the contamination exceeds the standard in the last October. The contamination in sediment lied below RNO (1981), EPA (1999) and IACD/CEDA (1997). Gills, viscera and the meat of the milkfish are contaminated with Cd and Pb, yet, still lied below the quality standard of Ministry of Environment Decree No. 51/2004. The results showed that farmed milkfish in Thousand Islands are safe to eat. We also found that the correlation of Cd and Pb contamination between water and sediment is positive. The correlation of Cd is much higher than Pb. The correlation of Cd between water and viscera as well as between sediment and viscera are the most closely related than any other organ. </em></p><p><strong><em> </em></strong></p><strong><em>Keywords: </em></strong><em>contamination, Cd, farming, milkfish, Pb, Seribu Islands</em>


2017 ◽  
Vol 14 (3) ◽  
pp. 251
Author(s):  
Rita Yulianti ◽  
Emi Sukiyah ◽  
Nana Sulaksana

Daerah penelitian terletak di desa Muaro Limun, Kecamatan Limun Kabupaten Sarolangun Provinsi Jambi. Sungai limun, salah satu sungai besar di daerah kabupaten sarolangun yang dimanfaatkan oleh mayarakat sekitarnya sebagai sumber penghidupan. Penelitian bertujuan untuk mengetahui pengaruh kegiatan penambangan terhadap kualitas air sungai Batang Limun, dan perubahan sifat fisik dan  kimia yang diakibatkan   kegiatan penambangan.Metode yang digunakan adalah  metode grab sampel, serta stream sedimen untuk dianalis di laboratorium. Sejumlah sampel diambil di beberapa lokasi Penambangan Emas berdasarkan Aliran Sub-DAS dan dibandingkan dengan beberapa sampel lain yang diambil pada lokasi yang belum terkontaminasi oleh kegiatan penambangan. Analisis kualitas air mengacu pada  SMEWWke 22 tahun 2012 dan standar baku mutu air kelas II dalam PP No 82 yang dikeluarkan oleh Menteri Kesehatan No. 492/Menkes/Per/IV/2010. Diketahui sungai Batang Limun telah mengalami perubahan karakteristik fisika dan kimia. Dari grafik  kosentrasi kekeruhan, pH, TSS, TDS  Cu, Pb, Zn, Mn, Hg terlihat bahwa penambang emas tanpa izin (PETI) dengan cara amalgamasi yang menyebabkan terjadinya penurunan kualitas air sungai. Sejak tahun 2009 sampai tahun 2015  sungai Limun dan sekitarnya terus mengalami penurunan kualitas air. Penurunan kualitas yang cukup tinggi terjadi  yaitu peningkatan nilai Rata-rata konsentrasi merkuri pada sungai Batang Limun dari 0,18ppb (0,00018 mg/l)  menjadi 0,3ppb (0,0003 mg/l), peningkatan tersebut dipengaruhi oleh proses kegiatan penambangan dan nilai tersebut masih dibawah standar baku mutu air kelas II  pp nomor 82 tahun 2010.Kata kunci :   Kualitas Air, Sungai Limun,TSS, Merkuri, PETI Limun river is one of the major rivers in the area of Sarolangun, which utilized by the society as a source of livelihood. The aim of study  to analyze the effect of mining activities on  the water quality of Batang Limun River, and the changes of physical and chemical properties of water. The method used are grab  and stream samples to  sediment analyzed in the laboratory. A number of samples were taken at several locations based Flow Gold Mining Sub-watershed and compared to some other samples taken at the location that has not been contaminated by mining activities. Water quality analysis referring to SMEWW, 22nd edition 2012 and refers to Regulation No 82 that issued by Minister of Health No. 492 / Menkes / Per / IV / 2010.The results showed that the Limun river has undergone chemical changes in physical characteristics. These symptoms can be seen from the discoloration of clear water in the river before the mine becomes brownish after mining, based on graphic of muddiness concentration: pH, TSS, TDS Cu, Pb, Zn, Mn, Hg have seen that  the illegal miner which used amalgamation caused deterioration in water quality, data from 2009 to 2015 Limun river and surrounding areas continue to experience a decrease in water quality. The decreasing of water quality showed in the TSS parameter which found in the area is to high based on  the standard of water quality class II pp number 82 of 2010. An increase in the value of average concentrations of mercury in the Batang Limun river before mine 0,18ppb (0.00018 mg / l) into 0,3ppb (0.0003 mg / l) on the river after the mine. The increase was affected by the mining activities and the value is still below the air quality standard Grade II pp numbers 82 years 2010, although the value is still below with the standards quality standard, the mercury levels in water should still be a major concern because if it accumulates continuously in the water levels will increase and will be bad for health. In contrast to the concentration of mercury in sediments that have a higher value is 153 ppb (0,513ppm ) .Key Words :   Water Quality, Limun River, Mercury, Illegal gold mining


2017 ◽  
Vol 4 (1) ◽  
pp. 65
Author(s):  
I Komang Dianto ◽  
I Wayan Arthana ◽  
Ni Made Ernawati

Seaweed farming activity is now facing some problems caused by pest fish herbivore and ice-ice disease. To solve those and improve our seaweed quality, seaweed production management requires some ecological technique improvements. The purpose of this study was to determine the functions of seaweed H. durvillaei for improving the production of the seaweed E. spinosum in the coastal area of Geger Beach, Peminge Village, South Kuta subdistrict, Badung regency, Bali. The measured data includes parameter of weight, length and water quality. Data was measured every 10 days for up to 40 days. The best growth result was shown by the model of E. spinosum that were fenced by H. durvillaei of 456 g for E. spinosum. H. durvillaei showed good impact on increasing the production of E. spinosum up to 68.7% compared to the control. Water quality conditions on seaweed culture was good with temperature ranged from 27.7 to 30.1°C, salinity from 30 to 32.3 ppt, DO from 3.9 to 5.5 ppm, pH from 7.9 to 8.4, current 0.1 to 0.2 m/s, and clearness of 100%.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mochamad A. Pratama ◽  
Yan D. Immanuel ◽  
Dwinanti R. Marthanty

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.


Author(s):  
Rui Shi ◽  
Jixin Zhao ◽  
Wei Shi ◽  
Shuai Song ◽  
Chenchen Wang

Water quality is a key indicator of human health. Wuliangsuhai Lake plays an important role in maintaining the ecological balance of the region, protecting the local species diversity and maintaining agricultural development. However, it is also facing a greater risk of water quality deterioration. The 24 water quality factors that this study focused on were analyzed in water samples collected during the irrigation period and non-irrigation period from 19 different sites in Wuliangsuhai Lake, Inner Mongolia, China. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were conducted to evaluate complex water quality data and to explore the sources of pollution. The results showed that, during the irrigation period, sites in the middle part of the lake (clusters 1 and 3) had higher pollution levels due to receiving most of the agricultural and some industrial wastewater from the Hetao irrigation area. During the non-irrigation period, the distribution of the comprehensive pollution index was the opposite of that seen during the irrigation period, and the degree of pollutant index was reduced significantly. Thus, run-off from the Hetao irrigation area is likely to be the main source of pollution.


2020 ◽  
Vol 16 (4) ◽  
pp. 458-463
Author(s):  
Ateshan Msahir Haidr ◽  
Misnan Rosmilah ◽  
Sinang Som Cit ◽  
Koki Baba Isa

This study investigates the temporal water quality variations and pollution sources identification in Merbok River using principal component analysis. The variables analyzed include As, Cd, Pb, Fe, Cr, Mn, Zn, Ni, Ca, Mg, Na, K, NH4, F, Cl, Br, NO2, NO3, SO4, PO4, pH, BOD, DO, COD, turbidity, and salinity. These variables were analyzed using inductively coupled plasma mass spectrometry, ion chromatography, and YSI multiprobe. Principal component analysis (PCA) was utilized to evaluate the variations of the most significant water quality parameters and identify the probable source of the pollutants. From the results of PCA, 86% of the total variations were observed in the water quality data with strong dominance of toxic heavy metals (As, Pb, and Cr), parameters associated with industrial discharge, domestic inputs, overland runoff (NH4, pH, BOD, DO, COD), agrochemicals (NO2, NO3, SO4, PO4), and weathering of basement rocks (Ca, Mg, Cl, F, K, and Na). Most of these parameters were present in concentrations exceeded the reference standards limits used in this study, indicating pollution of the river water. Together with the presence of microbial contamination, the results suggest potential human health risk due to water uses, fish and shellfish consumption. Moreover, the results revealed that anthropogenic activities and weathering were the main sources of pollutants in Merbok River. 


Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3634
Author(s):  
Zoltan Horvat ◽  
Mirjana Horvat ◽  
Kristian Pastor ◽  
Vojislava Bursić ◽  
Nikola Puvača

This study investigates the potential of using principal component analysis and other multivariate analysis techniques to evaluate water quality data gathered from natural watercourses. With this goal in mind, a comprehensive water quality data set was used for the analysis, gathered on a reach of the Danube River in 2011. The considered measurements included physical, chemical, and biological parameters. The data were collected within seven data ranges (cross-sections) of the Danube River. Each cross-section had five verticals, each of which had five sampling points distributed over the water column. The gathered water quality data was then subjected to several multivariate analysis techniques. However, the most attention was attributed to the principal component analysis since it can provide an insight into possible grouping tendencies within verticals, cross-sections, or the entire considered reach. It has been concluded that there is no stratification in any of the analyzed water columns. However, there was an unambiguous clustering of sampling points with respect to their cross-sections. Even though one can attribute these phenomena to the unsteady flow in rivers, additional considerations suggest that the position of a cross-section can have a significant impact on the measured water quality parameters. Furthermore, the presented results indicate that these measurements, combined with several multivariate analysis methods, especially the principal component analysis, may be a promising approach for investigating the water quality tendencies of alluvial rivers.


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