scholarly journals A Machine Learning Approach for Estimating the Trophic State of Urban Waters Based on Remote Sensing and Environmental Factors

2021 ◽  
Vol 13 (13) ◽  
pp. 2498
Author(s):  
Shijie Zhu ◽  
Jingqiao Mao
Keyword(s):  
Remote Sensing ◽  
Environmental Factors ◽  
Water Temperature ◽  
Trophic State ◽  
Trophic Levels ◽  
Water Bodies ◽  
Trophic State Index ◽  
Urban Water ◽  
Estimation Model ◽  
Input Variables

To improve the accuracy of remotely sensed estimates of the trophic state index (TSI) of inland urban water bodies, key environmental factors (water temperature and wind field) were considered during the modelling process. Such environmental factors can be easily measured and display a strong correlation with TSI. Then, a backpropagation neural network (BP-NN) was applied to develop the TSI estimation model using remote sensing and environmental factors. The model was trained and validated using the TSI quantified by five water trophic indicators obtained for the period between 2018 and 2019, and then we selected the most appropriate combination of input variables according to the performance of the BP-NN. Our results demonstrate that the optimal performance can be obtained by combining the water temperature and single-band reflection values of Sentinel-2 satellite imagery as input variables (R2 = 0.922, RMSE = 3.256, MAPE = 2.494%, and classification accuracy rate = 86.364%). Finally, the spatial and temporal distribution of the aquatic trophic state over four months with different trophic levels was mapped in Gongqingcheng City using the TSI estimation model. In general, the predictive maps based on our proposed model show significant seasonal changes and spatial characteristics in the water trophic state, indicating the possibility of performing cost-effective, RS-based TSI estimation studies on complex urban water bodies elsewhere.

Trophic State Index derivation through the remote sensing of Case-2 water bodies in the Mediterranean region

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Christiana Papoutsa ◽  
Evangelos Akylas ◽  
Diofantos Hadjimitsis
Keyword(s):  
Remote Sensing ◽  
Regression Model ◽  
Regression Models ◽  
Mediterranean Region ◽  
Trophic State ◽  
Landsat Tm ◽  
Water Bodies ◽  
Trophic State Index ◽  
State Index ◽  
The Mediterranean

AbstractThe main goal of this study is the derivation of Carlson’s Trophic State Index (TSI) through the remote sensing of four different Case-2 waters in the Mediterranean region such as Cyprus and Greece. TSISD is derived through extensive field ground campaign of Secchi Disk Depth measurements for the Asprokremmos Dam, located in Paphos District in Cyprus; Alyki Salt Lake, located in Larnaca District in Cyprus; and in Karla Lake, located in Volos District in Greece; and finally to three coastal water areas in the Limassol coastal area. Several regression models have been applied in order to develop the best regression model between the TSISD and in-band reflectance values for Landsat TM/ETM derived from spectroradiometric measurements using a GER-1500 field spectroradiometer over the main case study area in Asprokremmos Dam in Cyprus. Finally, we apply several regression models for Asprokremmos Dam for retrieving the suitable Landsat TM/ETM band or band combinations (obtained from field spectroradiometric measurements) in which TSISD can be determined. Indeed, the best regression model has been obtained by correlating ‘TSI Versus Band2/Band3’, with R2=0.89. All field TSISD and in-band reflectance values from the four different water bodies have been used to develop the best fitted model for the established TSI SD Versus Band2/Band3 model. We find that the exponential regression model provides the best fitted equation over the four different water bodies.

scholarly journals Epiphytic metazoans on emergent macrophytes in oxbow lakes of the Krapina River, Croatia: differences related to plant species and limnological conditions

2012 ◽  
Vol 71 (1) ◽  
pp. 125-138 ◽  
Author(s):  
Maria Špoljar ◽  
Jelena Fressl ◽  
Tvrtko Dražina ◽  
Matija Meseljević ◽  
Zlatko Grčić
Keyword(s):  
Plant Species ◽  
Trophic State ◽  
Food Resource ◽  
Significant Negative Correlation ◽  
Eutrophic Lake ◽  
Trophic Levels ◽  
Trophic State Index ◽  
Total Density ◽  
Oxbow Lakes ◽  
Emergent Macrophytes

Epiphytic metazoans on emergent macrophytes in oxbow lakes of the Krapina River, Croatia: differences related to plant species and limnological conditionsThis study investigated the structure of the epiphytic metazoans on emerged macrophytes in the littoral zone of two oxbow lakes with different trophic levels. Differences in the diversity and density of the epiphytic metazoans were analyzed in relation to plant architecture (simple or complex stems), food resources (algae and detritus) and water characteristics (transparency and derived trophic state index). A significant negative correlation was found between detritus on plants as food resource, and diversity and density of epiphytic metazoans, indicating grazing of microphagous species. Rotifers dominated in diversity and density in the epiphyton on all habitats. Total density of metazoans, rotifers and copepods in epiphyton were significantly higher onMenthain mesotrophic lake than onIrisin a eutrophic lake. We presume that macrophyte belt width and trophic state governed biotic interactions and consequently epiphytic assemblages more strongly than macrophyte architecture. However, aMenthahabitat showed a slightly higher density and diversity of epiphytic metazoans in relation toIrisat the same site, but these differences were not significant.

scholarly journals Proposal for a remote sensing trophic state index based upon Thematic Mapper/Landsat images

2013 ◽  
Vol 8 (3) ◽  
Author(s):  
Luciana De Resende Londe ◽  
Evlyn Márcia Leão de Moraes Novo ◽  
Claudio Clemente Faria Barbosa ◽  
Carlos Alberto Sampaio de Araujo ◽  
Camilo Daleles Rennó
Keyword(s):  
Remote Sensing ◽  
Trophic State ◽  
Thematic Mapper ◽  
Trophic State Index ◽  
Landsat Images ◽  
State Index

scholarly journals Lagoon trophic state determination. Case of study Tecocomulco´s lagoon, Hidalgo, Mexico

DYNA ◽  
2019 ◽  
Vol 86 (209) ◽  
pp. 104-112
Author(s):  
FRANCISCO GARCIA GARCIA ◽  
Roberto Villagómez-Ibarra ◽  
Angélica E. Delgadillo-López ◽  
César A. González- Ramírez ◽  
Otilio A. Acevedo-Sandoval ◽  
...  
Keyword(s):  
Trophic State ◽  
Anthropogenic Impacts ◽  
Trophic Levels ◽  
Trophic State Index ◽  
Development Projects ◽  
Nitrogen And Phosphorus ◽  
Biological Condition ◽  
State Determination ◽  
State Index ◽  
Nitrogen Phosphorus

Because of anthropogenic impacts on the trophic state of Tecocomulco´s lagoon in Hidalgo, Mexico, the quantities of nitrogen, phosphorus, and other biologically useful nutrients are being increased in spite of they are the primary determinants of a body of water's trophic state index. Nutrients such as nitrogen and phosphorus tend to be limiting resources in standing water bodies, so increased concentrations tend to result in increased plant growth, followed by corollary increases in subsequent trophic levels. Consequently, a body of water's trophicindex may sometimes be used to make a rough estimate of its biological condition. Actually, in order to protect the environment, a new level of planning and execution of development projects have been originated by life cycle assessment, environmental impact researchesand evaluating economic financial researches due to the understanding that, environment will be irreversible damaged by any kind ofproject.

Macrophyte biometric features as an indicator of the trophic status of small water bodies

2015 ◽  
Vol 44 (1) ◽  
Author(s):  
Barbara Nagengast ◽  
Natalia Kuczyńska-Kippen
Keyword(s):  
Trophic State ◽  
Typha Latifolia ◽  
Water Bodies ◽  
Trophic State Index ◽  
Trophic Conditions ◽  
Trophic Effect ◽  
Small Water ◽  
Biometric Measurements ◽  
Biometric Features ◽  
Small Water Bodies

AbstractThe aim of the study was to determine whether biometric features of plants collected from single-species phytocoenoses developing in ponds can be used to describe habitat conditions of these water bodies. The biometric measurements were carried out in 148 field small water bodies at a total of 198 sites. The length of plants, their dry biomass, and volume of plant shoots were analyzed, converted to 1000 dm3 of water. The biometric measurements showed very large differences in individual parameters of different macrophyte species. The biggest differences were found in the length of elodeids and helophytes (from 1 cm to > 900 cm), regardless of trophic conditions. Although the Polish flora is dominated by plants having a wide ecological range, there are species whose parameters correspond to specific habitat fertility. The highest biometric parameters were found for Ceratophyllum submersum, Sparganium erectum, Typha latifolia and Schoenoplectus lacustris in ponds characterized by increased trophic conditions. In contrast, Myriophyllum spp. alone showed a negative correlation with trophic state indices. The trophic effect on the studied parameters becomes more apparent for species with optima in fertile water bodies. The parameters of Ceratophyllum submersum can be considered as the trophic state index (TSI).

scholarly journals Determinação da Concentração de Clorofila-a por Sensoriamento Remoto no Reservatório de Chapéu d’Úvas (Mg), Brasil

2021 ◽  
Vol 14 (6) ◽  
pp. 3561
Author(s):  
Larissa Ferreira Serbeto ◽  
George Mendes ◽  
Celso Bandeira de Melo Ribeiro ◽  
Renata De Oliveira Pereira
Keyword(s):  
Remote Sensing ◽  
Water Supply ◽  
Chlorophyll A ◽  
Trophic State ◽  
The Body ◽  
Component Concentration ◽  
Public Water Supply ◽  
Trophic State Index ◽  
Chlorophyll A Concentration ◽  
Sentinel 2

Na atualidade, um grande impacto nos reservatórios de água doce é a eutrofização, que afeta diretamente o tratamento e uso da água para abastecimento público, navegação, fauna e flora aquática e impacto visual. A clorofila-a é um dos indicadores de estado trófico da água e pode ser determinada utilizando sensoriamento remoto. Desta forma, este estudo objetivou determinar a concentração de clorofila-a na barragem de Chapéu d’Uvas em Juiz de Fora (Brasil), um dos principais mananciais de abastecimento público da cidade. Através de um modelo utilizando imagens do satélite Sentinel-2 foi avaliado o comportamento espaço-temporal da concentração do componente, foi correlacionado com dados de pluviosidade, temperatura, evaporação e uso e ocupação do solo em torno da barragem. Também foi aplicado um modelo para determinar o índice de estado trófico, que apresenta o grau de trofia que o corpo hídrico se encontra, classificando Chapéu d’Uvas como estado mesotrófico. Os resultados se mostraram satisfatórios para a espacialização e análise temporal da concentração de clorofila-a, a correlação com os dados de evaporação nos permitiu observar uma compatibilidade direta com a concentração do componente e verificou-se valores de clorofila-a acima da média do reservatório nas regiões de entradas de água pelos riachos e próximos as margens com menos cobertura de vegetação.Determination of Chlorophyll-a Concentration from Remote Sensing in Chapéu d’Úvas Reservoir (State of Minas Gerais, Brazil) A B S T R A C TCurrently, one of the great impacts on the freshwater reservoirs is eutrophication, which directly affects the treatment and use of water for public water supply, navigation, aquatic fauna and flora and visual impact. Chlorophyll-a is one of the water trophic state indicators and it can be determined using remote sensing. Thus, this study aimed to determine chlorophyll-a concentration in Chapéu d’Uvas dam, in Juiz de Fora (Brazil), one of the main water sources of public water supply for the city. From a model that uses Sentinel-2 satellite images, the spatial-temporal behavior of that component concentration was evaluated and correlated with data regarding rainfall, temperature, evaporation, and soil use and occupation around the dam. A model was also applied to determine trophic state index, which presents the body of water trophic state, classifying Chapéu d’Uvas as mesotrophic state. The results were satisfactory regarding spatialization and temporal analysis of chlorophyll-a concentration. The correlation with evaporation data permitted us to observe a direct correspondence with the component concentration. Chlorophyll-a values higher than the reservoir average were found in creek inlets and near the shore with lower vegetal cover.Keywords: eutrophication, Sentinel-2, quality of water, inland waters, trophic state

scholarly journals Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning

Water ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 585 ◽  
Author(s):  
Yang Chen ◽  
Rongshuang Fan ◽  
Xiucheng Yang ◽  
Jingxue Wang ◽  
Aamir Latif
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
High Resolution ◽  
Water Bodies ◽  
Urban Water ◽  
Remote Sensing Imagery
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