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 Long-Term Change of the Secchi Disk Depth in Lake Maninjau, Indonesia Shown by Landsat TM and ETM+ Data

2019 ◽  
Vol 11 (23) ◽  
pp. 2875
Author(s):  
Fajar Setiawan ◽  
Bunkei Matsushita ◽  
Rossi Hamzah ◽  
Dalin Jiang ◽  
Takehiko Fukushima
Keyword(s):  
Water Quality ◽  
Lake Management ◽  
Landsat Tm ◽  
Quality Data ◽  
Atmospheric Effects ◽  
Secchi Disk ◽  
Secchi Disk Depth ◽  
Water Quality Data ◽  
Using Data

Most of the lakes in Indonesia are facing environmental problems such as eutrophication, sedimentation, and depletion of dissolved oxygen. The water quality data for supporting lake management in Indonesia are very limited due to financial constraints. To address this issue, satellite data are often used to retrieve water quality data. Here, we developed an empirical model for estimating the Secchi disk depth (SD) from Landsat TM/ETM+ data by using data collected from nine Indonesian lakes/reservoirs (SD values 0.5–18.6 m). We made two efforts to improve the robustness of the developed model. First, we carried out an image preprocessing series of steps (i.e., removing contaminated water pixels, filtering images, and mitigating atmospheric effects) before the Landsat data were used. Second, we selected two band ratios (blue/green and red/green) as SD predictors; these differ from previous studies’ recommendation. The validation results demonstrated that the developed model can retrieve SD values with an R2 of 0.60 and the root mean square error of 1.01 m in Lake Maninjau, Indonesia (SD values ranged from 0.5 to 5.8 m, n = 74). We then applied the developed model to 230 scenes of preprocessed Landsat TM/ETM+ images to generate a long-term SD database for Lake Maninjau during 1987–2018. The visual comparison of the in situ-measured and satellite estimated SD values, as well as several events (e.g., algal bloom, water gate open, and fish culture), showed that the Landsat-based SD estimations well captured the change tendency of water transparency in Lake Maninjau, and these estimations will thus provide useful data for lake managers and policy-makers.

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 PEMODELAN SEBARAN BOD DI SUNGAI KAPUAS KECIL BAGIAN HILIR MENGGUNAKAN WASP

2019 ◽  
Vol 8 (2) ◽  
pp. 148
Author(s):  
Rizki Purnaini ◽  
Sudarmadji Sudarmadji ◽  
Suryo Purwono
Keyword(s):  
Water Quality ◽  
Secondary Data ◽  
Industrial Effluents ◽  
Water Quality Monitoring ◽  
Dry Season ◽  
Quality Data ◽  
Water Quality Data ◽  
Administrative Area ◽  
Dominant Influence

The Kapuas Kecil River must be maintained for its water quality so that it can still be utilized in accordance with its designation. The purpose of this study is to predict water quality changes due to incoming waste from various sources of pollutants to the concentration of BOD in Kapuas Kecil River using WASP model as an effort to water quality monitoring and water pollution control.The study area to be simulated is Kapuas Kecil River passing through Pontianak City over ± 22 km from upstream to downstream (estuary) that divided into 42 segments. Water quality data were collected from several monitoring station locations in Kapuas Kecil River downstream, Landak River, effluent trenches located within the administrative area of Pontianak City, as well as secondary data on industrial effluents located along the study area. Water sampling method refers to the SNI 03-7026-2004, sampling was done once at each sample point with variations of the rainy and dry season, and at high and low tide conditions. Hydrometry data and river discharge can be obtained from primary and secondary data.The results showed that domestic and non-domestic of urban discharges that entering the river is very dominant influence on the water quality of the river. BOD concentration in rivers during the dry season is higher than rainy season both in high and low tide conditions. The simulation results of spatial distribution with all scenarios show that the accumulation of BOD pollution load begins after a distance of 5 km from the upstream boundary and then a significant increase in concentration occur at  segment 27 with loads originating from the Landak River and Pekong Trench. The BOD concentration then tends to fluctuate to a distance of 5 km before heading downstream, and after that it continues to decline towards the downstream.

Water-quality data collected at Lake Anne, Reston, Virginia, 1997-1999

2000 ◽  
Author(s):  
Kathryn M. Conko ◽  
Margaret M. Kennedy ◽  
Karen C. Rice
Keyword(s):  
Water Quality ◽  
Quality Data ◽  
Water Quality Data
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