scholarly journals Ekologi Perairan Pulau Tunda Serang Banten: Keadaan Umum Hutan Mangrove

2020 ◽  
Vol 4 (1) ◽  
pp. 53
Author(s):  
Syahrial Syahrial ◽  
Dandi Saleky ◽  
Agus Putra Abdul Samad ◽  
Ilham Antariksa Tasabaramo
Keyword(s):  
Water Quality ◽  
Distribution Patterns ◽  
Quality Parameters ◽  
Anthropogenic Pressure ◽  
Mangrove Forests ◽  
The South ◽  
Mangrove Vegetation ◽  
Future Data ◽  
Line Transects

Mangrove forests now face serious threats, where human anthropogenic pressure has increased rapidly in coastal areas around mangrove areas. The ecological study of the waters of Tunda Serang Banten Island, especially the general condition of its mangrove forests, was carried out in January 2014. This was intended as a baseline in evaluating mangrove management in Indonesia (especially Tunda Serang Banten Island) and the presence of Indonesian mangrove forests could be maintained in the future. Data on the condition of the mangrove vegetation of Tunda Serang Banten Island was collected by making line transects and plots drawn from the reference point (outermost mangrove stands) and perpendicular to the coastline to the mainland. While the measurement of water quality is done in-situ. The results showed that the growth of the mangrove forest of Tunda Serang Island in Banten on the East (Station 1) was younger than that in the South (Station 2). Then the density is also higher in the East than in the South, but the condition of the mangrove forests of both stations is still relatively good and very dense. In addition, the environmental quality of Tunda Island's mangrove vegetation is still relatively high, the diversity and dominance of mangrove forests is low, uniformity in a somewhat balanced condition, regular distribution patterns and water quality parameters are not a barrier to the growth of mangroves.

scholarly journals STRUKTUR DEMOGRAFI POPULASI Rhizophora apiculata DI KAWASAN INDUSTRI PERMINYAKAN PROVINSI RIAU

2018 ◽  
Vol 5 (2) ◽  
pp. 189
Author(s):  
Syahrial Syahrial ◽  
Dietriech G Bengen ◽  
Tri Prartono ◽  
Bintal Amin
Keyword(s):  
Water Quality ◽  
Sea Water ◽  
Quality Parameters ◽  
Line Transect ◽  
Marine Biota ◽  
Mangrove Forests ◽  
Vegetation Density ◽  
Transect Line ◽  
Rhizophora Apiculata ◽  
Mangrove Vegetation

The decline in mangrove vegetation density and the area of mangrove forests in the coastal province of Riau occurred due to the logging of mangrove forests and the conversion of mangrove forests into other uses such as industrial estates. This study aims to collect a database of mangrove ecosystems which includes the ecological structure of R. apiculata in Riau Province. Collecting data of mangrove vegetation condition was done by transect line and plot. The line transect was drawn from the reference point (the outer mangrove stand) with the direction perpendicular to the coastline to the mainland and made plots according to the category. The results showed that the population of R. apiculata was found in large numbers at Station 3 (350 ind) and a small/small amount was found at Station 1 (137 ind). In addition, Stations 1, 2 and 4 have only one grouping population of R. apiculata based on the Bhattacharya method, while Station 3 has two groupings. Furthermore, the highest R. apiculata density for tree category was obtained at Station 4 (1433.33 ind/m2), saplings category at Station 3 (10488.89 ind/m2) and seedlings category at Station 4 (3666667 ind/m2). Furthermore the water temperature ranged from 28.3 – 30.7°C, salinity 27.3 – 31.3, pH 7.3 – 7.9, DO 5.2 – 6.4 and redox potential ranged from 102 – 124 mV. Based on the standard criteria and guidelines for determining mangrove damage according to the Decree of the Minister of Environment No. 201 of 2004, the population density of R. apiculata at the research location is still classified as medium and refers to the Decree of the State Minister of Environment No. 51 of 2004 concerning Sea Water Quality Standards for Marine Biota, as a whole the range of measured water quality parameters is still within tolerance limits for life mangroves.

scholarly journals Evaluasi Lahan Pembudidayaan Rumput Laut di Perairan Kampung Sakabu, Pulau Salawati, Kabupaten Raja Ampat

2014 ◽  
Vol 2 (3) ◽  
Author(s):  
Wihelmina Dimara ◽  
Edwin D Ngangi ◽  
Lukas L.J.J Mondoringin
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Environmental Condition ◽  
Protection Factor ◽  
Environment Factors ◽  
Research Results ◽  
Bottom Substrate ◽  
Seaweed Culture

The objective of this research was to evaluate the suitability of several environment factors and water quality parameters for development of seaweed culture in Kampung Sakabu.  The research was conducted through observation at three stations while protection factor and bottom substrate of waters were observed visually. Water quality parameters including pH, salinity, current rate, temperature were measured in situ and the compared to Standard Water Quality Citeria by Bakosurtanal 1996.  Research results were divided into three suitability categories namely 1) very suitable, 2) suitable, and 3) less suitable.  In general, environmental condition and water quatily in Kampung Sakabu were categorized as suitable to very suitable. This results indicated that         waters of Kampung Sakabu was very potential for development of seaweed culture. Keywords:  Kampung Sakabu, seaweeds, area suitability, water quality

scholarly journals Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine Learning Approaches

2020 ◽  
Vol 12 (10) ◽  
pp. 1586
Author(s):  
Leonardo F. Arias-Rodriguez ◽  
Zheng Duan ◽  
Rodrigo Sepúlveda ◽  
Sergio I. Martinez-Martinez ◽  
Markus Disse
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Water Quality ◽  
Water Quality Monitoring ◽  
Temporal Variations ◽  
Quality Parameters ◽  
Parameters Estimation ◽  
Learning Approaches ◽  
Effects Of Drought

Remote-sensing-based machine learning approaches for water quality parameters estimation, Secchi Disk Depth (SDD) and Turbidity, were developed for the Valle de Bravo reservoir in central Mexico. This waterbody is a multipurpose reservoir, which provides drinking water to the metropolitan area of Mexico City. To reveal the water quality status of inland waters in the last decade, evaluation of MERIS imagery is a substantial approach. This study incorporated in-situ collected measurements across the reservoir and remote sensing reflectance data from the Medium Resolution Imaging Spectrometer (MERIS). Machine learning approaches with varying complexities were tested, and the optimal model for SDD and Turbidity was determined. Cross-validation demonstrated that the satellite-based estimates are consistent with the in-situ measurements for both SDD and Turbidity, with R2 values of 0.81 to 0.86 and RMSE of 0.15 m and 0.95 nephelometric turbidity units (NTU). The best model was applied to time series of MERIS images to analyze the spatial and temporal variations of the reservoir’s water quality from 2002 to 2012. Derived analysis revealed yearly patterns caused by dry and rainy seasons and several disruptions were identified. The reservoir varied from trophic to intermittent hypertrophic status, while SDD ranged from 0–1.93 m and Turbidity up to 23.70 NTU. Results suggest the effects of drought events in the years 2006 and 2009 on water quality were correlated with water quality detriment. The water quality displayed slow recovery through 2011–2012. This study demonstrates the usefulness of satellite observations for supporting inland water quality monitoring and water management in this region.

scholarly journals Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes

2020 ◽  
Vol 12 (11) ◽  
pp. 1745
Author(s):  
Michael Seidel ◽  
Christopher Hutengs ◽  
Felix Oertel ◽  
Daniel Schwefel ◽  
András Jung ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Water Column ◽  
Hyperspectral Imaging ◽  
Quality Parameters ◽  
Optically Active ◽  
Freshwater Lakes ◽  
Active Substances ◽  
Optically Active Substances

Freshwater lakes provide many important ecosystem functions and services to support biodiversity and human well-being. Proximal and remote sensing methods represent an efficient approach to derive water quality indicators such as optically active substances (OAS). Measurements of above-ground remote and in situ proximal sensors, however, are limited to observations of the uppermost water layer. We tested a hyperspectral imaging system, customized for underwater applications, with the aim to assess concentrations of chlorophyll a (CHLa) and colored dissolved organic matter (CDOM) in the water columns of four freshwater lakes with different trophic conditions in Central Germany. We established a measurement protocol that allowed consistent reflectance retrievals at multiple depths within the water column independent of ambient illumination conditions. Imaging information from the camera proved beneficial for an optimized extraction of spectral information since low signal areas in the sensor’s field of view, e.g., due to non-uniform illumination, and other interfering elements, could be removed from the measured reflectance signal for each layer. Predictive hyperspectral models, based on the 470 nm–850 nm reflectance signal, yielded estimates of both water quality parameters (R² = 0.94, RMSE = 8.9 µg L−1 for CHLa; R² = 0.75, RMSE = 0.22 m−1 for CDOM) that were more accurate than commonly applied waveband indices (R² = 0.83, RMSE = 13.2 µg L−1 for CHLa; R² = 0.66, RMSE = 0.25 m−1 for CDOM). Underwater hyperspectral imaging could thus facilitate future water monitoring efforts through the acquisition of consistent spectral reflectance measurements or derived water quality parameters along the water column, which has the potential to improve the link between above-surface proximal and remote sensing observations and in situ point-based water probe measurements for ground truthing or to resolve the vertical distribution of OAS.

Generation of geolocated and radiometrically corrected true reflectance surfaces in the visible portion of the electromagnetic spectrum over large bodies of water using images from a sUAS

2020 ◽  
Vol 8 (3) ◽  
pp. 172-185
Author(s):  
Juan G. Arango ◽  
Brandon K. Holzbauer-Schweitzer ◽  
Robert W. Nairn ◽  
Robert C. Knox
Keyword(s):  
Water Quality ◽  
Near Infrared ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Electromagnetic Spectrum ◽  
Water Quality Data ◽  
Ground Control Points ◽  
Bodies Of Water

The focus of this study was to develop true reflectance surfaces in the visible portion of the electromagnetic spectrum from small unmanned aerial system (sUAS) images obtained over large bodies of water when no ground control points were available. The goal of the research was to produce true reflectance surfaces from which reflectance values could be extracted and used to estimate optical water quality parameters utilizing limited in-situ water quality analyses. Multispectral imagery was collected using a sUAS equipped with a multispectral sensor, capable of obtaining information in the blue (0.475 μm), green (0.560 μm), red (0.668 μm), red edge (0.717 μm), and near infrared (0.840 μm) portions of the electromagnetic spectrum. To develop a reliable and repeatable protocol, a five-step methodology was implemented: (i) image and water quality data collection, (ii) image processing, (iii) reflectance extraction, (iv) statistical interpolation, and (v) data validation. Results indicate that the created protocol generates geolocated and radiometrically corrected true reflectance surfaces from sUAS missions flown over large bodies of water. Subsequently, relationships between true reflectance values and in-situ water quality parameters were developed.

scholarly journals Effect of Silvofishery on Ponds Nutrient Levels (Pengaruh Silvofishery Terhadap Kandungan Nutrien di Tambak)

2014 ◽  
Vol 19 (2) ◽  
pp. 81 ◽  
Author(s):  
Anna Ida Sunaryo Purwiyatno ◽  
Fitri Agustriani
Keyword(s):  
Water Quality ◽  
National Parks ◽  
National Park ◽  
Sampling Method ◽  
Phosphorus Content ◽  
Nutrient Content ◽  
Pond Water ◽  
Quality Parameters ◽  
Mangrove Forests ◽  
Purposive Sampling

Taman Nasional Sembilang merupakan salah satu taman nasional yang terletak di Sumatera Selatan dan menjadi kawasan mangrove terbesar di barat Indonesia. Sebagian besar wilayah mangrovenya telah mengalami alih fungsi menjadi tambak pasang surut. Hal ini menyebabkan timbulnya kekhawatiran kerusakan mangrove di taman nasional. Salah satu upaya untuk mempertahankan wilayah mangrove adalah dengan melakukan sistem silvofishery, yaitu penanaman mangrove dan budidaya bandeng dilakukan secara bersamaan di tambak. Penelitian ini bertujuan untuk menganalisis kualitas air dan kondisi nutrien di tambak di daerah restorasi silvofishery di Taman Nasional Sembilang. Penelitian dilakukan dengan metode purposive sampling di tambak silvofishery, tambak non-silvofishery, dan badan air sungai di seluruh wilayah taman nasional. Pengukuran dilakukan terhadap parameter kualitas air dan kandungan nutrien khususnya nitrat dan fosfat. Hasil penelitian menunjukkan bahwa kehadiran tanaman mangrove di daerah tambak mampu memperbaiki kandungan oksigen dan pH air tambak. Mangrove juga menunjukkan kemampuan dalam mengikat nitrat yang secara tidak langsung akan mencegah air tambak dari polusi. Namun, kandungan fosfat tinggi menunjukkan bahwa tanaman mangrove muda di wilayah restorasi belum mampu mengikat nutrien ini secara signifikan. Hasil penelitian ini menunjukkan bahwa hutan mangrove sangat bermanfaat bagi kegiatan budidaya tambak karena kemampuannya dalam menyerap polutan nutrient. Kata kunci: silvofishery; kolam; nitrat; fosfat; Taman Nasional Sembilang Sembilang National Park is one of the national parks which is located in South Sumatera and became the largest mangrove area in western Indonesia. Most of the mangroves area in this national park has been experiencing conversion to be tidal ponds. This has resulted in concerns on mangrove forest destruction in the park. One of the efforts to maintain mangroves area is by applying silvofishery system, which is mangrove planting and cultivation of milkfish in ponds performed simultaneously. This study aims to investigate the water quality and nutrient condition in the ponds in the area of silvofishery restoration at Sembilang National Park. The study was conducted by purposive sampling method in the silvofishery ponds, non-silvofishery ponds, and river water bodies throughout the park. Measurements conducted on water quality parameters and nutrient content, especially nitrate and phosphate. The results showed that the presence of mangrove in the ponds area is able to improve the oxygen content and pH of pond water. Mangroves also demonstrated the ability to bind nitrates which indirectly will prevent the pond water from pollution. However, the high phosphorus content showed that young mangrove plants in the restoration area have not been able to significantly bind the of this nutrient. The results of this study showed that mangrove forests are very beneficial for aquaculture activities because of its ability to absorb nutrient pollutants. Keywords: silvofishery; ponds; nitrate; phosphate; Sembilang National Park

SentiLake - Sentinel-2 satellite data-based service for monitoring of Latvian lakes

2020 ◽  
Author(s):  
Dainis Jakovels ◽  
Agris Brauns ◽  
Jevgenijs Filipovs ◽  
Tuuli Soomets
Keyword(s):  
Water Quality ◽  
Satellite Data ◽  
Ecological Status ◽  
Quality Parameters ◽  
Water Bodies ◽  
Water Quality Parameters ◽  
Chl A ◽  
Regular Monitoring ◽  
Sentinel 2

<p>Lakes and water reservoirs are important ecosystems providing such services as drinking water, recreation, support for biodiversity as well as regulation of carbon cycling and climate. There are about 117 million lakes worldwide and a high need for regular monitoring of their water quality. European Union Water Framework Directive (WFD) stipulates that member states shall establish a programme for monitoring the ecological status of all water bodies larger than 50 ha, in order to ensure future quality and quantity of inland waters. But only a fraction of lakes is included in in-situ monitoring networks due to limited resources. In Latvia, there are 2256 lakes larger than 1 ha covering 1.5% of Latvian territory, and approximately 300 lakes are larger than 50 ha, but only 180 are included in Inland water monitoring program, in addition, most of them are monitored once in three to six years. Besides, local municipalities are responsible for the management of lakes, and they are also interested in the assessment of ecological status and regular monitoring of these valuable assets. </p><p>Satellite data is a feasible way to monitor lakes over a large region with reasonable frequency and support the WFD status assessment process. There are several satellite-based sensors (eg. MERIS, MODIS, OLCI) available specially designed for monitoring of water quality parameters, however, they are limited only to use for large water bodies due to a coarse spatial resolution (250...1000 m/pix). Sentinel-2 MSI is a space-borne instrument providing 10...20 m/pix multispectral data on a regular basis (every 5 days at the equator and 2..3 days in Latvia), thus making it attractive for monitoring of inland water bodies, especially the small ones (<1 km<sup>2</sup>). </p><p>Development of Sentinel-2 satellite data-based service (SentiLake) for monitoring of Latvian lakes is being implemented within the ESA PECS for Latvia program. The pilot territory covers two regions in Latvia and includes more than 100 lakes larger than 50 ha. Automated workflow for selecting and processing of available Sentinel-2 data scenes for extracting of water quality parameters (chlorophyll-a and TSM concentrations) for each target water body has been developed. Latvia is a northern country with a frequently cloudy sky, therefore, optical remote sensing is challenging in or region. However, our results show that 1...4 low cloud cover Sentinel-2 data acquisitions per month could be expected due to high revisit frequency of Sentinel-2 satellites. Combination of C2X and C2RCC processors was chosen for the assessment of chl-a concentration showing the satisfactory performance - R<sup>2</sup> = 0,82 and RMSE = 21,2 µg/l. Chl-a assessment result is further converted and presented as a lake quality class. It is expected that SentiLake will provide supplementary data to limited in situ data for filling gaps and retrospective studies, as well as a visual tool for communication with the target audience.</p>

Determination of Heavy Metals and Other Water Quality Parameters from the South China Sea

2014 ◽  
Vol 48 (1) ◽  
pp. 204-212 ◽  
Author(s):  
Jingxi Li ◽  
Li Zheng ◽  
Xiaofei Yin ◽  
Junhui Chen ◽  
Bin Han ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
South China Sea ◽  
South China ◽  
Quality Parameters ◽  
The South China Sea ◽  
Water Quality Parameters ◽  
The South ◽  
China Sea

scholarly journals Spatial Distribution Patterns of the Hydro-Ecosystems’ Quality Indicators in the Ukrainian Carpathians

2021 ◽  
Vol 4 (1) ◽  
pp. 80-93
Author(s):  
Liudmyla Mykolayivna Arkhypova ◽  
Marta Vasylivna Korchemlyuk ◽  
Oleh Mуkolayovych Mandryk ◽  
Valery Grygorovych Omelchenko ◽  
Yuliya Stanislavivna Stakhmych
Keyword(s):  
Quality Indicators ◽  
Natural Waters ◽  
Statistical Processing ◽  
Distribution Patterns ◽  
Quality Parameters ◽  
Anthropogenic Pressure ◽  
Carpathian Region ◽  
Standard Values ◽  
First Time ◽  
Ecological Standard

This study is devoted to the two major hydro-ecosystems of the Carpathian region in Ukraine, the Dniester and Danube Rivers. For the first time, the patterns of changes in the ecosystems’ quality parameters were established by means of developing functional dependences among the ecological standard values of the composite quality indicators of natural waters and the river length and terrain altitude. Using the statistical processing of the data, the quality monitoring of the upper reaches of Dniester and Danube ecosystems in the Ukrainian Carpathians was conducted for the period from 2001 to 2019. The data on the Composite Potential Quality Indicators standard values was gathered for the heights of the Carpathian region: at 50 m interval for the altitude up to 1,000 m, and at 100 m interval for more than 1,000 m altitude. The acquired dependencies can be used as the territorial background standard values of the ecological indicators of basin ecosystems. It will help to scientifically substantiate the ecologically safe values of the anthropogenic pressure.

scholarly journals CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters

2015 ◽  
Vol 7 (2) ◽  
pp. 319-348 ◽  
Author(s):  
B. Nechad ◽  
K. Ruddick ◽  
T. Schroeder ◽  
K. Oubelkheir ◽  
D. Blondeau-Patissier ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Waters ◽  
Reference Data ◽  
Quality Parameters ◽  
Round Robin ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Data Sets ◽  
Ocean Colour

Abstract. The use of in situ measurements is essential in the validation and evaluation of the algorithms that provide coastal water quality data products from ocean colour satellite remote sensing. Over the past decade, various types of ocean colour algorithms have been developed to deal with the optical complexity of coastal waters. Yet there is a lack of a comprehensive intercomparison due to the availability of quality checked in situ databases. The CoastColour Round Robin (CCRR) project, funded by the European Space Agency (ESA), was designed to bring together three reference data sets using these to test algorithms and to assess their accuracy for retrieving water quality parameters. This paper provides a detailed description of these reference data sets, which include the Medium Resolution Imaging Spectrometer (MERIS) level 2 match-ups, in situ reflectance measurements, and synthetic data generated by a radiative transfer model (HydroLight). These data sets, representing mainly coastal waters, are available from doi:10.1594/PANGAEA.841950. The data sets mainly consist of 6484 marine reflectance (either multispectral or hyperspectral) associated with various geometrical (sensor viewing and solar angles) and sky conditions and water constituents: total suspended matter (TSM) and chlorophyll a (CHL) concentrations, and the absorption of coloured dissolved organic matter (CDOM). Inherent optical properties are also provided in the simulated data sets (5000 simulations) and from 3054 match-up locations. The distributions of reflectance at selected MERIS bands and band ratios, CHL and TSM as a function of reflectance, from the three data sets are compared. Match-up and in situ sites where deviations occur are identified. The distributions of the three reflectance data sets are also compared to the simulated and in situ reflectances used previously by the International Ocean Colour Coordinating Group (IOCCG, 2006) for algorithm testing, showing a clear extension of the CCRR data which covers more turbid waters.

Sign in / Sign up

Export Citation Format

Share Document