scholarly journals ANALISIS KONDISI LAMUN (SEAGRASS) DI PERAIRAN PULAU PRAMUKA, KEPULAUAN SERIBU

2015 ◽  
Vol 13 (1) ◽  
pp. 22-32
Author(s):  
Septi Dwi Fajarwati ◽  
Asma Irma Setianingsih ◽  
Muzani Muzani
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
Ph Value ◽  
Secondary Data ◽  
Quality Analysis ◽  
Quality Data ◽  
Primary Data ◽  
Seagrass Habitat ◽  
Percentage Cover ◽  
Water Quality Data

ABSTRACT This research aims to analyze the condition of seagrass ecosystem to see water quality data of the seagrass habitat and percentage cover of seagrass in the waters of the Pramuka Island, Seribu Islands. The research was conducted over two months from October to November 2014.This research used a descriptive method with field survey approach. The population in this study is the seagrass in Waters Pramuka Island. Determining the location with purposive sampling of the sampling is divided into three stations is North, East and South. Data collection techniques include primary data and secondary data. Primary data is data of seagrass (type, percentage cover and density of seagrass) and data of seagrass habitat environmental parameters (water temperature, current speed, brightness, depth, salinity, substrate, TSS, DO, pH) were obtained by direct measurement in the field, while secondary data include the general state of the research sites. Data analysis techniques used in this study using analysis of community structure of seagrass and water quality analysis. The results showed that seagrass species found in the Pramuka Island there are 6 types of seagrass Cymodocea rotundata, Cymodocea serrulata, Enhalus acoroides, Halophila ovalis, Halodule uninervis, Thalassia hemprichii. Conditions of seagrass in the waters of the Pramuka Island included into the category of less healthy-poor seagrass. At station 1 percentage by 31% classified seagrass less healthy conditions, while the other two stations are stations 2 and 3 belong to the category of the poor condition of seagrass, with each percentage cover of seagrass 19.4% and 20.3%. Of all water quality parameters measured, all the parameters are still in normal circumstances, but there are some parameters whose value is high at some stations TSS and pH value is high at station 2 with a value of TSS 18 mg/l and a pH value of 8.2. Water quality and seagrass communities in station 1 is still in good condition for the growth of seagrass, because at this station is an unspoiled area away from human activity, while the stations 2 and 3 have undergone changes in community structure of seagrass because at this station has several anthropogenic activities that disrupt the lives of seagrass, mostly from human activities such as domestic sewage and hoarding/reclamation, which affects the condition of seagrass at station 2 and 3 are poor seagrass. Keyword: Seagrass, Water Quality, Pramuka Island

scholarly journals PERENCANAAN ARTIFICIAL REEF SEBAGAI RESTORASI TERUMBU KARANG DAN PENGAMAN PANTAIDI PULAU LEMUKUTAN KABUPATEN BENGKAYANG

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Dhiecho Mahar Dhiecha
Keyword(s):  
Water Quality ◽  
Coral Reefs ◽  
Life Quality ◽  
Artificial Reef ◽  
Thick Layer ◽  
Secondary Data ◽  
Quality Analysis ◽  
Quality Data ◽  
Coastal Protection ◽  
Water Quality Data

ABSTRACT Damage that occurs around the area Lemukutan Island caused the use of chemicals or cyanide to catch fish and coral reefs by local people, but it is also often made use of bombs surrounding communities to take beautiful corals that will be sold to destroy coral reef ecosystems in the waters .Artificial reef planning methods (Artificial reef ) as the restoration of coral reefs and coastal protection is to conduct a field survey using a measuring instrument GPS topographic, marine water quality data and using secondary data, statistical data, tidal, wave height, bathymetry map, direction of flow and wind direction. Water quality analysis carried out in-situ, parameter test in the brightness of the water, currents, salinity, temperature, pH. Analysis of the function of Artificial reefs for reef restoration and as coastal protection is to use a hollow dome type or reef balls. Appropriate placement location and located at coordinates N 00 45 '33.8 ", E 1080 42' 19.5" up to N 00 45 '29.2 "E 1070 15' 49.0", and the average depth of 3 meters. Results of water quality testing based on parameters salinity, current velocity, pH, turbidity, light intensity and temperature qualify coral life quality standards in Indonesia based on PERMEN LH No. 51 TAHUN 2004. The dimensions of Artificial reef s diameter of 1.80 m, height 1.50 m with a thick layer of 10 cm and a hole located on the sides of the Artificial reef for 34 holes with a diameter of 15 cm. Filler material used is concrete with a volume of 0.916 m3, equivalent to 2,198 tons. Binder or cement used type V, which is resistant to high sulfate levels. The amount of reef balls used is 834 pieces. Keywords: Artificial reef , Seawater Quality, Reef balls and coral reefs,.

scholarly journals Dampak Limbah Penambangan Emas Tanpa Izin (Peti) Terhadap Kualitas Air Sungai Limun Kabupaten Sarolangun Propinsi Jambi - The Impact Of Illegal Gold Mining Activity To The Water Quality Of Limun River, Sarolangun District, Jambi Province

2017 ◽  
Vol 14 (3) ◽  
pp. 251
Author(s):  
Rita Yulianti ◽  
Emi Sukiyah ◽  
Nana Sulaksana
Keyword(s):  
Water Quality ◽  
Gold Mining ◽  
Quality Standard ◽  
Water Levels ◽  
Quality Analysis ◽  
Quality Data ◽  
Mining Activities ◽  
Water Quality Data ◽  
The Impact

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

scholarly journals GRQA: Global River Water Quality Archive

2021 ◽  
Author(s):  
Holger Virro ◽  
Giuseppe Amatulli ◽  
Alexander Kmoch ◽  
Longzhu Shen ◽  
Evelyn Uuemaa
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Quality Measurement ◽  
Observation Time ◽  
Quality Analysis ◽  
Quality Data ◽  
Observation Data ◽  
Water Quality Data ◽  
Spatial Coverage ◽  
Global Datasets

Abstract. A major problem related to global water quality analysis and modelling has been the lack of available good quality and consistent water quality measurement datasets with a global spatial coverage. Current study aims to contribute into improving the global datasets on water quality by aggregating and harmonizing five national, continental and global datasets: CESI, GEMSTAT, GLORICH, WATERBASE and WQP. The GRQA compilation involved converting observation data from the five sources into a common format and harmonizing the corresponding metadata, flagging outliers, calculating time series characteristics and detecting duplicate observations from sources with a spatial overlap. The final dataset extends the spatial and temporal coverage of previously available water quality data and contains 42 parameters and over 16 million measurements around the globe covering the 1898–2020 time period. Metadata in the form of statistical tables, maps and figures are provided along with observation time series. The GRQA dataset, supplementary metadata and figures are available for download on the DataCite and OpenAire enabled repository of the University of Tartu, DataDOI, http://dx.doi.org/10.23673/re-273 (Virro et al., 2021).

scholarly journals STUDY OF ENVIRONMENTAL IMPACT ON SCHOOL BUILDING CONSTRUCTION (CASE STUDY: SDN HARJAMUKTI 5, DEPOK CITY)

ASTONJADRO ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 80
Author(s):  
Alimudin Alimudin
Keyword(s):  
Environmental Impact ◽  
Environmental Impacts ◽  
Secondary Data ◽  
Green Building ◽  
Ambient Air ◽  
Quality Data ◽  
Primary Data ◽  
Survey Method ◽  
Water Quality Data ◽  
The Impact

<p class="ListParagraph1">Improvement of education building facilities and infrastructure is needed to improve services to the community. In line with the green building planning, Housing and Settlements Department, Depok City plans to build SDN Harjamukti 5 Public with due regard to environmentally friendly development. The activity is predicted to cause environmental impacts, so a study of environmental impact analysis is needed. The purpose of this study is to determine the baseline condition of the study site and analyze the environmental impacts and obtain ways to overcome the results of the analysis in an effort to minimize the impact that will then be used as a reference in order to properly protect the environment. The method used is survey method. This research uses primary data and secondary data. Primary data include water quality data, ambient air quality and noise data, and flora and fauna data while secondary data include climate data and socio-economic data. The results of the study obtained an analysis of environmental impacts that occur and how to minimize impacts with good handling in order to create a construction that is green building concept.</p>

scholarly journals INDEKS KUALITAS AIR RAWA LEBAK DELING UNTUK BUDIDAYA PERIKANAN ALAMI

2018 ◽  
Vol 6 (2) ◽  
pp. 123-128
Author(s):  
Irkhamiawan Ma’ruf ◽  
Rahmad Kurniawan ◽  
Khusnul Khotimah
Keyword(s):  
Water Quality ◽  
Fisheries Management ◽  
Economic Benefits ◽  
Quality Analysis ◽  
Quality Data ◽  
Water Quality Data ◽  
Temperature Parameter ◽  
Vegetation Water ◽  
The One ◽  
Quality Measurements

ABSTRACTAs a common properti, fisheries management in swamps need to be made to provides economic benefits for the parties on the one side (especially the community), and the sustainability of the ecosystem itself on the other side. Current conditions need to be obtained to formulate swamp resource management in a sustainable manner by reducing fishing activities with aquaculture activities. Aquaculture, besides providing greater income, can also control fishing activities and reduce pressure on the swamp ecosystem. The study was conducted in Rawa Deling, Deling Village, Pangkalan Lampam Sub-District, OKI District. Water quality measurements are carried out for 5 months, from March 2018 to July 2018 in 4 stations with differences depth and vegetation. Water quality analysis is carried out to get an overview of the swamp condition. Water quality data will determine the feasibility and treatment needed for aquaculture. The results of water quality measurements showed that temperature parameter values ranging from 28.1 - 32.2 oC, depths of 0.7 - 5 m, brightness of 20 - 50 cm, TDS 17 - 35 mgL-1, pH 4.1 - 5, DO 1 , 7 - 4.1 mgL-1, phosphate <0.060 - <0.090 mgL-1, total nitrogen 12.50 - 38.90 mgL-1, ammonia 0.68 - 0.93 mgL-1. Measuring water quality shows the potential for deling swamps to be developed in an effort to increase fish stocks and aquaculture activities.Keywords : lebak lebung swamps, sustainable fisheries management, swamp water quality

scholarly journals Integration of sensors for dam water quality analysis – a prototype

2021 ◽  
Author(s):  
Lina Rose ◽  
X. Anitha Mary ◽  
C. Karthik
Keyword(s):  
Water Quality ◽  
Pure Water ◽  
Quality Parameters ◽  
Water Bodies ◽  
Quality Analysis ◽  
Quality Data ◽  
Major Portion ◽  
Water Quality Analysis ◽  
Water Quality Control ◽  
Water Quality Data

Abstract Water consumed is stored in several water bodies in and around us, out of which dams accommodate a major portion of water. The quantity and quality monitoring of water in Dams is troublesome due to its large surface area and high depths. Though groundwater resources are the primary water source in India, Dams plays a vital role in water distribution and storage network. Central Water Commission in India has identified more than 5,000 dams of which a major portion is persistently consumed by the rural and urban population for drinking and irrigation. The water quality of these reservoirs is of serious concern as it would not only affect the socio-economic status of the nation but the aquatic systems as well. Water quality control and management are vital for delivering clean water supply to the common society. Because of their size, collecting, assessing, and managing a vast volume of water quality data is critical. Water quality data is primarily obtained through manual field sampling; however, real-time sensor monitoring is increasingly being used for more efficient data collection. The literature depicts that the methodsinvolving remote sensing and image processing of water quality analysis consume time, require sample collection at various depths, analysis of collected samples, and manual interpretations. The objective of this study is to propose a novel cost-effective method to monitor water quality devoid of considerable human intervention. The sensor-based online monitoring aids in assessing the sample with limited technology, at various depths of water in the dam to analyze turbidity which gives the major indication of pure water. The quality analysis of the dam water is worthy if the water is assessed at the distribution end before consumption. Hence, to enhance the water management system, other quality parameters like pH, conductivity, temperature are sensed and monitored in the distribution pipeline. The unstable pH can alter the chemical and microbiological aspects of water resulting in a variation of other water quality parameters Temperature variations affect the amount of dissolved oxygen in the water bodies which results in unstable quality parameters. The change in dissolved solvents and the ionic concentration alters the electrical conductivity of the water and the increased concentration of salts also results in turbidity. The data from all the sensors are processed by the microcontroller, transmitted, and displayed in a mobile application comprehensible to the layman.

scholarly journals Impacts of Land-Use Changes on Water Quality by an Application of GIS Analysis: a Case Study of Nerus River, Terengganu, Malaysia

2018 ◽  
Vol 7 (3.14) ◽  
pp. 155 ◽  
Author(s):  
Mohd Ekhwan Toriman ◽  
Hassan Mohammed Ali Alssgeer ◽  
Muhammad Barzani Gasim ◽  
Khairul Amri Kamarudin ◽  
Mabroka Mohamed Daw ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
Quality Standard ◽  
Statistical Technique ◽  
Quality Analysis ◽  
Quality Data ◽  
Water Quality Data ◽  
The Impact

The impact of land use change on water quality of Nerus River Kuala Terengganu is an event that needs to be taken seriously in this study. The objectives of the study area are to carried out 13 parameters water quality samplings and analysis of Nerus River as well as to classify water quality concentration based on NWQS and WQI classifications; to interpret 2000 and 2013 land use/land cover maps of Nerus River Basin and to evaluate water quality data by statistical technique such as similarities and dissimilarities between sampling stations to determine pollution sources. Methods that were used in study area GIS will use to classify land cover/land use changes in the catchment between 2000 and 2013 land use maps. Water quality analysis and monitoring were done based on three sampling stations during both dry and wet seasons, involving analysis 13 water quality parameters. Water quality classification is using the National Water Quality Standard (NWQS) and the Water Quality Index (WQI). Statistical analysis such as similarities and dissimilarities between sampling stations was applied. Results of the study show that the river was classified as class II (slightly polluted), III (moderately polluted) in accordance with previous studies.  

scholarly journals A Fusion Water Quality Soft-Sensing Method Based on WASP Model and Its Application in Water Eutrophication Evaluation

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Xiaoyi Wang ◽  
Jie Jia ◽  
Tingli Su ◽  
Zhiyao Zhao ◽  
Jiping Xu ◽  
...  
Keyword(s):  
Water Quality ◽  
Unscented Kalman Filter ◽  
Water Environment ◽  
Quality Analysis ◽  
Quality Data ◽  
Model Parameters ◽  
Water Quality Data ◽  
Soft Sensing ◽  
Water Eutrophication ◽  
Quality Indexes

Water environment protection is of great significance for both economic development and improvement of people’s livelihood, where modeling of water environment evolution is indispensable in water quality analysis. However, many water quality indexes related to water quality model cannot be measured online, and some model parameters always vary among different water areas. Thus, this paper proposes a water quality soft-sensing method based on the water quality mechanism model to simulate evolution of water quality indexes online, where unscented Kalman filter is utilized to estimate model parameters. Furthermore, a modified fuzzy comprehensive evaluation method is presented to evaluate the level of water eutrophication condition. Finally, the water quality data collected from Taihu Lake and Beihai Lake are used to validate the effectiveness and generality of the proposed method. The results show that the proposed soft-sensing method is able to describe the variation of related water quality indexes, with better accuracy compared to nonlinear least squares based method and traditional trial-and-error based method. On this basis, the water eutrophication condition can be also accurately evaluated.

scholarly journals DISTRIBUSI SPASIAL TINGKAT PENCEMARAN AIR DI DAS CITARUM

2010 ◽  
Vol 11 (2) ◽  
pp. 1 ◽  
Author(s):  
Andriati Cahyaningsih ◽  
Budi Harsoyo
Keyword(s):  
Water Quality ◽  
Secondary Data ◽  
Landsat Tm ◽  
Quality Data ◽  
Water Quality Data ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Gis Data ◽  
Pollutant Distribution ◽  
Water Pollutant

Penelitian ini bertujuan untuk menggambarkan distribusi spasial pencemar air di DASCitarum. Studi ini menggabungkan teknologi penginderaan jauh, Sistem InformasiGeografis (GIS) dan data kualitas air. Informasi tentang DAS Citarum dikumpulkandari interpretasi Landsat TM. Kualitas air dikumpulkan dari data sekunder dari 33 titiksampel nilai BOD. Semua informasi diproses oleh GIS. Data dianalisis dan diplot kedalam peta yang menggambarkan distribusi polutan air di DAS Citarum.This study was aimed to describe spatial distribution of water pollutant at Citarumwatershed. This study combined remote sensing technology, Geographic InformationSystem (GIS) and water quality data. Information on Citarum watershed was collectedfrom Landsat TM interpretation. Water quality was collected from secondary data of 33sample point BOD values. All information was procesed by GIS. The data were analysisand plotted into a map described water pollutant distribution at Citarum watershed.

scholarly journals Application of Rough Set Theory to Water Quality Analysis: A Case Study

Data ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. 50 ◽  
Author(s):  
Maryam Zavareh ◽  
Viviana Maggioni
Keyword(s):  
Water Quality ◽  
Quality Indicators ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Specific Conductivity ◽  
Quality Analysis ◽  
Quality Data ◽  
Water Quality Data ◽  
Water Quality Indicators

This work proposes an approach to analyze water quality data that is based on rough set theory. Six major water quality indicators (temperature, pH, dissolved oxygen, turbidity, specific conductivity, and nitrate concentration) were collected at the outlet of the watershed that contains the George Mason University campus in Fairfax, VA during three years (October 2015–December 2017). Rough set theory is applied to monthly averages of the collected data to estimate one indicator (decision attribute) based on the remainder indicators and to determine what indicators (conditional attributes) are essential (core) to predict the missing indicator. The redundant attributes are identified, the importance degree of each attribute is quantified, and the certainty and coverage of any detected rule(s) is evaluated. Possible decision making rules are also assessed and the certainty coverage factor is calculated. Results show that the core water quality indicators for the Mason watershed during the study period are turbidity and specific conductivity. Particularly, if pH is chosen as a decision attribute, the importance degree of turbidity is higher than the one of conductivity. If the decision attribute is turbidity, the only indispensable attribute is specific conductivity and if specific conductivity is the decision attribute, the indispensable attribute beside turbidity is temperature.

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