scholarly journals Análisis multisensor para el estudio de los patrones de turbidez en el estuario del Guadalquivir

2016 ◽  
pp. 1 ◽  
Author(s):  
I. Caballero ◽  
G. Navarro
Keyword(s):  
Water Quality ◽  
Suspended Solids ◽  
Water Quality Management ◽  
Quality Parameters ◽  
In Situ Data ◽  
Nao Index ◽  
Del Rio ◽  
Different Characteristics

<p>A detailed study of the mechanisms generated through the turbidity plume and its variability at the Guadalquivir estuary has been carried out with remote sensing and in situ data. Several sensors with different characteristics have been required (spatial, temporal and spectral resolution), thereby providing information for a multi-sensor analysis. The main objective was to determine the water quality parameters (suspended solids and chlorophyll) and implement the methodology to define the empirical and semi-analytical algorithms from satellite data (MODIS, METIS, Deimos-1). The processes occurred in the estuary and adjacent region have been examined identifying those involved in the different variability scales. The forcings associated with rainfall and discharge from Alcalá del Río dam in addition to the climatic NAO index control seasonal and inter-annual fluctuations, while tide effects (semi-daily and fortnightly cycles) modulate the plume at the mouth throughout the year with significant variability. Special emphasis is focused on diagnosing the role of these mechanisms on the continental shelf ecosystems, constituting a powerful tool for the water quality management and coastal resources.</p>

scholarly journals Estimation of water quality parameters from space images

2021 ◽  
Author(s):  
A.K. Popova
Keyword(s):  
Water Quality ◽  
Lake Baikal ◽  
Spatial Dynamics ◽  
Quality Parameters ◽  
Pollution Level ◽  
Space Images ◽  
Chl A ◽  
In Situ Data ◽  
Sentinel 2

Water quality affects many human activities. Remote sensing is efficient and economical instrument for water monitoring. The paper investigates the problem of choosing an algorithm for Chl-a concentration determination. In this study, we made calculations for Multispectral Instrument (MSI) on Sentinel-2 for Lake Baikal by different empirical algorithms and C2RCC tool. We choose 3 band combination that have high correlation with in situ data of Chl-a. Resultant distribution map display spatial dynamics of Chl-a in the lake. Our research is intended to help environmental scientist to assess pollution level of the Lake Baikal and interpret the ecological meaning of results

scholarly journals Estimating Environmental Preferences of Freshwater Pelagic Fish Using Hydroacoustics and Satellite Remote Sensing

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2226 ◽  
Author(s):  
Triantafyllia-Maria Perivolioti ◽  
Michal Tušer ◽  
Jaroslava Frouzova ◽  
Petr Znachor ◽  
Pavel Rychtecký ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Machine Learning Techniques ◽  
Observation Data ◽  
Biomass Distribution ◽  
In Situ Data ◽  
Longitudinal Gradients

In this study, a remote sensing-based method of mapping and predicting fish spatial distribution in inland waters is developed. A combination of Earth Observation data, in-situ measurements, and hydroacoustics is used to relate fish biomass distribution and water-quality parameters along the longitudinal transect of the Římov Reservoir (Czech Republic) using statistical and machine learning techniques. Parameter variations and biomass distribution are estimated and validated, and apparent trends are explored and discussed, together with potential limitations and weaknesses. Water-quality parameters exhibit longitudinal gradients along the reservoir, while calculations reveal a distinct fish assemblage pattern observed as a patchy overall biomass distribution. Although the proposed methodology has a great potential for sustainable water management, careful planning is needed to ensure the simultaneous acquisition of remote sensing and in-situ data to maximize calibration accuracy.

scholarly journals Parâmetros de Qualidade de Água em Nascentes no Município de Olho D’Água do Casado, Semiárido Alagoano

2020 ◽  
Vol 12 (6) ◽  
pp. 2271
Author(s):  
Ana Paula Lopes da Silva ◽  
Gabriel Do Nascimento Alves ◽  
Anderson Marques Araújo do Nascimento ◽  
Álvaro Dos Santos
Keyword(s):  
Water Quality ◽  
Urban Areas ◽  
Coastal Region ◽  
Quality Parameters ◽  
Physical Analysis ◽  
Rural And Urban Areas ◽  
In Situ Data ◽  
Rural And Urban ◽  
Natural Dynamics

No Semiárido Alagoano os estudos sobre os parâmetros de qualidade de água ainda são pouco documentados e, em alguns casos, escassos, quando comparado à região costeira do estado, desta forma, análises esporádicas nesses corpos d’água tornam-se imprescindíveis. Objetivou-se no presente artigo analisar os parâmetros físico-químicos de qualidade de água em sete nascentes localizadas nas áreas rural e urbana do município de Olho D’Água do Casado, Semiárido Alagoano. Foram coletados dados in situ de pH, temperatura, sólidos totais e condutividade elétrica com auxílio de um sensor óptico. À exceção do parâmetro temperatura, constatou-se que a maioria das nascentes analisadas, nas duas áreas, apresentaram padrões de qualidade de água que extrapolam as diretrizes da Resolução CONAMA/2005. Comparativamente, as nascentes da área urbana apresentaram maior dinâmica e maiores níveis discrepantes nos parâmetros analisados. Faz-se necessário a elaboração de um quadro com medidas mitigadoras que abranjam tanto a esfera socioeconômica quanto a ambiental, visando dar a estes mananciais uma melhor proficiência para a população residente em seu entorno, tanto para fins de abastecimento quanto para criação e agricultura, e concomitantemente buscando o equilíbrio entre sua utilização e a reparação e preservação da dinâmica natural. É pertinente afirmar que o banco de dados obtido tem elevada relevância social, científica e ambiental no que concerne à qualidade de água no Semiárido Alagoano, servindo de base para o uso e manutenção consciente das nascentes estudadas e como subsídios para futuros trabalhos. Water Quality Parameters in Springs in the Municipality of Olho D'Água do Casado, Alagoas Semiarid A B S T R A C TIn the Alagoas Semiarid, studies about the parameters of water quality are still poorly documented and, in some cases, scarce when compared to the coastal region of the state, so sporadic analyzes in these bodies of water become essential. The aim of this study was to analyze the physical and chemical parameters of water quality in seven nascent located in the rural and urban areas of the municipality of Olho D'Água do Casado, Alagoas Semiarid. In situ data of pH, temperature, total solids and electrical conductivity were collected with the aid of an optical sensor. With the exception of the temperature parameter, it was verified that most of the nascents analyzed in both areas presented water quality standards that exceed the CONAMA/2005 Resolution guidelines. Comparatively, the nascents of the urban area presented greater dynamics and higher levels of discrepancy in the analyzed parameters. It is necessary to create a cadre with mitigating measures that cover both the socioeconomic and environmental spheres, aiming to give these sources a better proficiency for the population residing in their surroundings, both for sourcing purposes and for breeding and agriculture, and concomitantly seeking the balance between its use and the repair and preservation of the natural dynamics. It is pertinent to affirm that the database obtained has high social, scientific and environmental relevance regarding water quality in the Alagoas Semiarid, serving as a basis for the conscious use and maintenance of the nascents studied and as subsidies for future works.Keywords: Spring, Semiarid, chemical-physical analysis.

scholarly journals Biodiversitas dan sebaran mikroalga berbasis sistem informasi geografis (SIG) di Perairan Selatan Kabupaten Malang, Jawa Timur

DEPIK ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 478-483
Author(s):  
Umi Zakiyah ◽  
Mulyanto Mulyanto
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Coastal Region ◽  
Quality Parameters ◽  
Pollution Potential ◽  
In Situ Data ◽  
Index Value ◽  
Temperature Water ◽  
Microalgae Growth

The coastal region is a meeting point of land and sea. The coastal area utilization has developed intensively, which causes the sustainability or capacity of coastal ecosystems, and the pollution potential in this area exceeded due to various human activities. This condition affects the existence of microalgae, which play an important role not only in the food chain in the aquatic environment but also in humans at the end. This research was carried out in Sendang Biru Waters, South Malang Regency. The purpose of this study was to map and determine the biodiversity as well as the distribution of microalgae in coastal waters using in situ data. The data were analyzed using geographic information system techniques in the form of microalgae distribution and biodiversity maps. The results showed that the microalgae identified from the genera Chaetoceros and Navicula showing the highest frequency. The biodiversity index value at station 1 was 3,312, at station 2 was 3,184. These values indicate that the Sendang Biru waters were highly diverse in microalgae composition. The results of the temperature-water quality parameters are 27-29 ° C, salinity 32-35 ppt, and pH 7.8-8.2. The range of nitrate nutrients ranges from 0.0142 to 0.082 mg/l, while phosphate from 0.024 to 0.074 mg/l, silica showed values between 1.249 to 1.393 mg/l. Based on the analysis of chlorophyll-a, the range of chlorophyll-a values was between 1.773-1.777 mg/l. All parameters of water quality were classified as suitable for microalgae growth. Therefore, the microalgae biodiversity in this location can still be considered relatively high.Keywords:Coastal AreaBiodiversityMicroalgaeABSTRAKWilayah pesisir merupakan tempat bertemunya daratan dan lautan. Pemanfaatan wilayah pesisir secara intensif mengakibatkan terlampauinya daya dukung atau kapasitas berkelanjutan dari ekosistem pesisir dan meningkatnya potensi pencemaran pada perairan pesisir yang ditimbulkan dari berbagai aktivitas manusia. Pencemaran ini akan mempengaruhi keberadaan mikroalga yang mempunyai peranan penting bukan saja dalam rantai makanan di perairan namun manusia juga pada akhirnya.  Penelitian ini dilakukan di Perairan Sendang Biru, Kabupaten Malang. Tujuan penelitian untuk mengetahui dan memetakan biodiversitas dan sebaran mikroalga di perairan pantai selatan Kabupaten Malang, dengan data in situ. Data dianalisis menggunakan peta yang dihasilkan dari teknik sistem informasi geografis dari biodiversitas dan sebaran mikroalga. Hasil penelitian menunjukkan bahwa mikroalga yang teridentifikasi genus Chaetoceros dan Navicula memiliki kelimpahan tertinggi. Nilai index diversitas pada stasiun 1 adalah 3,312, sedangkan pada stasiun 2 adalah 3,184. Nilai tersebut menunjukkan bahwa mikroalga di perairan Sendang Biru memiliki keanekaragaman tinggi. Hasil parameter kualitas air suhu yaitu 27-29 0C, salinitas 32-35 ppt, dan pH 7,8-8,2. Kisaran nutrien nitrat adalah 0,0142 – 0,082 mg/l, fosfat 0,024 – 0,074 mg/l, dan silica berkisar 1.249 – 1.393 mg/l. Berdasarkan hasil analisis klorofil-a didapatkan kisaran nilai klorofil-a 1,773-1,777 mg/l. Seluruh parameter kualitas air masih tergolong dalam kategori baik untuk kehidupan mikroalga sehingga dapat disimpulkan biodiversitas mikroalga di lokasi penelitian relatif tinggi.Kata kunci:Wilayah PesisirKeanekaragamanMikroalga

Seagrass depth range and water quality in southern Moreton Bay, Queensland, Australia

1996 ◽  
Vol 47 (6) ◽  
pp. 763 ◽  
Author(s):  
EG Abal ◽  
WC Dennison
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Suspended Solids ◽  
Light Attenuation ◽  
River Mouth ◽  
Total Suspended Solids ◽  
Quality Parameters ◽  
Depth Range ◽  
Moreton Bay ◽  
A Site

Correlations between water quality parameters and seagrass depth penetration were developed for use as a biological indicator of integrated light availability and long-term trends in water quality. A year-long water quality monitoring programme in Moreton Bay was coupled with a series of seagrass depth transects. A strong gradient between the western (landward) and eastern (seaward) portions of Moreton Bay was observed in both water quality and seagrass depth range. Higher concentrations of chlorophyll a, total suspended solids, dissolved and total nutrients, and light attenuation coefficients in the water column and correspondingly shallower depth limits of the seagrass Zostera capricorni were observed in the western portions of the bay. Relatively high correlation coefficient values (r2 > 0.8) were observed between light attenuation coefficient, total suspended solids, chlorophyll a, total Kjeldahl nitrogen and Zostera capricorni depth range. Low correlation coefficient values (r2 < 0.8) between seagrass depth range and dissolved inorganic nutrients were observed. Seagrasses had disappeared over a five-year period near the mouth of the Logan River, a turbid river with increased land use in its watershed. At a site 9 km from the river mouth, a significant decrease in seagrass depth range corresponded to higher light attenuation, chlorophyll a, total suspended solids and total nitrogen content relative to a site 21 km from the river mouth. Seagrass depth penetration thus appears to be a sensitive bio-indicator of some water quality parameters, with application for water quality management.

scholarly journals Limnology of Merbok estuary, Kedah, Malaysia

2015 ◽  
Vol 41 (1) ◽  
pp. 13-19
Author(s):  
Kaniz Fatema ◽  
Wan Maznah Wan Omar ◽  
Mansor Mat Isa
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Suspended Solids ◽  
Total Suspended Solids ◽  
Quality Parameters ◽  
The Other ◽  
Wet Season ◽  
Hand Temperature ◽  
Do Concentration ◽  
Merbok Estuary

Water quality in three different stations of Merbok estuary was investigated limnologically from October, 2010 to September, 2011. Water temperature, transparency and total suspended solids (TSS) varied from 27.45 - 30.450C, 7.5 - 120 cm and 10 -140 mg/l, respectively. Dissolved Oxygen (DO) concentration ranged from 1.22-10.8 mg/l, while salinity ranged from 3.5-35.00 ppt. pH and conductivity ranged from 6.35 - 8.25 and 40 - 380 ?S/cm, respectively. Kruskal Wallis H test shows that water quality parameters were significantly different among the sampling months and stations (p<0.05). This study revealed that DO, salinity, conductivity and transparency were higher in wet season and TSS was higher in dry season. On the other hand, temperature and pH did not follow any seasonal trends.Bangladesh J. Zool. 41(1): 13-19, 2013

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 OPTMIZATION OF BIO-OPTICAL MODEL PARAMETERS FOR TURBID LAKE WATER QUALITY ESTIMATION USING LANDSAT 8 AND WASI-2D

2020 ◽  
Vol XLII-3/W11 ◽  
pp. 67-72
Author(s):  
A. Manuel ◽  
A. C. Blanco ◽  
A. M. Tamondong ◽  
R. Jalbuena ◽  
O. Cabrera ◽  
...  
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
The Philippines ◽  
Quality Data ◽  
Model Parameters ◽  
Landsat 8 ◽  
Water Quality Data ◽  
Chlorophyll A Concentration ◽  
In Situ Data

Abstract. Laguna Lake, the Philippines’ largest freshwater lake, has always been historically, economically, and ecologically significant to the people living near it. However, as it lies at the center of urban development in Metro Manila, it suffers from water quality degradation. Water quality sampling by current field methods is not enough to assess the spatial and temporal variations of water quality in the lake. Regular water quality monitoring is advised, and remote sensing addresses the need for a synchronized and frequent observation and provides an efficient way to obtain bio-optical water quality parameters. Optimization of bio-optical models is done as local parameters change regionally and seasonally, thus requiring calibration. Field spectral measurements and in-situ water quality data taken during simultaneous satellite overpass were used to calibrate the bio-optical modelling tool WASI-2D to get estimates of chlorophyll-a concentration from the corresponding Landsat-8 images. The initial output values for chlorophyll-a concentration, which ranges from 10–40 μg/L, has an RMSE of up to 10 μg/L when compared with in situ data. Further refinements in the initial and constant parameters of the model resulted in an improved chlorophyll-a concentration retrieval from the Landsat-8 images. The outputs provided a chlorophyll-a concentration range from 5–12 μg/L, well within the usual range of measured values in the lake, with an RMSE of 2.28 μg/L compared to in situ data.

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.

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