Investigation of the spatial variation of sediments heavy metals along the Nun River using kriging interpolation technique

2021 ◽  
Vol 4 (2) ◽  
pp. 108-118
Author(s):  
I. R. Ilaboya ◽  
J. O. Ehiorobo ◽  
N. Onwo
Keyword(s):  
Heavy Metals ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Critical Parameters ◽  
Kriging Interpolation ◽  
Suitable Model ◽  
Mean Square ◽  
High Concentration ◽  
Cadmium Lead

This study employs geospatial statistical technique to assess the spatial distribution of heavy metals along the Nun River. Core sediment samples were collected from relatively undisturbed areas (twenty-five different stations) using Uwitec Triple sediment cutter. The rectangular coordinates of the sediment sample location were determined with the aid of Germin handheld GPS receiver. The concentrations of cadmium, lead chromium and zinc present in the sediments was determined with the aid of an atomic absorption spectrophotometer. For geospatial analysis, five semi-variogram models (stable, circular, spherical, exponential and K-Bessel) were fitted for each of the four critical parameters (heavy metals). In addition, four goodness-of-fit statistics (mean square error, root mean square error, root mean square standardized error and average standard error) were utilized to decide the most suitable model used to develop the final prediction map for each parameter. From the results obtained, it was observed that; regions with red color codes signify higher concentrations of cadmium, lead, chromium and zinc. Further assessment of the results showed that Otuan, Obeleli, Angiama, Odobio, Kasama, Akedda and Akele experienced high concentration of cadmium while Tombia, Ewoi, Abilabio, Agudama and Yenikpa experienced high concentration of lead.

scholarly journals Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland

Atmosphere ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 43 ◽  
Author(s):  
Dariusz Młyński ◽  
Andrzej Wałęga ◽  
Andrea Petroselli ◽  
Flavia Tauro ◽  
Marta Cebulska
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Daily Precipitation ◽  
Probability Distributions ◽  
Random Variables ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Probability Of Exceedance

The aim of this study was to determine the best probability distributions for calculating the maximum annual daily precipitation with the specific probability of exceedance (Pmaxp%). The novelty of this study lies in using the peak-weighted root mean square error (PWRMSE), the root mean square error (RMSE), and the coefficient of determination (R2) for assessing the fit of empirical and theoretical distributions. The input data included maximum daily precipitation records collected in the years 1971–2014 at 51 rainfall stations from the Upper Vistula Basin, Southern Poland. The value of Pmaxp% was determined based on the following probability distributions of random variables: Pearson’s type III (PIII), Weibull’s (W), log-normal, generalized extreme value (GEV), and Gumbel’s (G). Our outcomes showed a lack of significant trends in the observation series of the investigated random variables for a majority of the rainfall stations in the Upper Vistula Basin. We found that the peak-weighted root mean square error (PWRMSE) method, a commonly used metric for quality assessment of rainfall-runoff models, is useful for identifying the statistical distributions of the best fit. In fact, our findings demonstrated the consistency of this approach with the RMSE goodness-of-fit metrics. We also identified the GEV distribution as recommended for calculating the maximum daily precipitation with the specific probability of exceedance in the catchments of the Upper Vistula Basin.

scholarly journals Adaptação transcultural Portugal-Brasil do Inventário de Burnout de Maslach para estudantes

2012 ◽  
Vol 46 (5) ◽  
pp. 816-824 ◽  
Author(s):  
Juliana Alvares Duarte Bonini Campos ◽  
João Maroco
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Fit Index

OBJETIVO: Realizar a adaptação transcultural da versão em português do Inventário de Burnout de Maslach para estudantes e investigar sua confiabilidade, validade e invariância transcultural. MÉTODOS: A validação de face envolveu participação de equipe multidisciplinar. Foi realizada validação de conteúdo. A versão em português foi preenchida em 2009, pela internet, por 958 estudantes universitários brasileiros e 556 portugueses da zona urbana. Realizou-se análise fatorial confirmatória utilizando-se como índices de ajustamento o χ²/df, o comparative fit index (CFI), goodness of fit index (GFI) e o root mean square error of approximation (RMSEA). Para verificação da estabilidade da solução fatorial conforme a versão original em inglês, realizou-se validação cruzada em 2/3 da amostra total e replicada no 1/3 restante. A validade convergente foi estimada pela variância extraída média e confiabilidade composta. Avaliou-se a validade discriminante e a consistência interna foi estimada pelo coeficiente alfa de Cronbach. A validade concorrente foi estimada por análise correlacional da versão em português e dos escores médios do Inventário de Burnout de Copenhague; a divergente foi comparada à Escala de Depressão de Beck. Foi avaliada a invariância do modelo entre a amostra brasileira e a portuguesa. RESULTADOS: O modelo trifatorial de Exaustão, Descrença e Eficácia apresentou ajustamento adequado (χ²/df = 8,498; CFI = 0,916; GFI = 0,902; RMSEA = 0,086). A estrutura fatorial foi estável (λ: χ²dif = 11,383, p = 0,50; Cov: χ²dif = 6,479, p = 0,372; Resíduos: χ²dif = 21,514, p = 0,121). Observou-se adequada validade convergente (VEM = 0,45;0,64, CC = 0,82;0,88), discriminante (ρ² = 0,06;0,33) e consistência interna (α = 0,83;0,88). A validade concorrente da versão em português com o Inventário de Copenhague foi adequada (r = 0,21;0,74). A avaliação da validade divergente do instrumento foi prejudicada pela aproximação do conceito teórico das dimensões Exaustão e Descrença da versão em português com a Escala de Beck. Não se observou invariância do instrumento entre as amostras brasileiras e portuguesas (λ:χ²dif = 84,768, p < 0,001; Cov: χ²dif = 129,206, p < 0,001; Resíduos: χ²dif = 518,760, p < 0,001). CONCLUSÕES: A versão em português do Inventário de Burnout de Maslach para estudantes apresentou adequada confiabilidade e validade, mas sua estrutura fatorial não foi invariante entre os países, apontando ausência de estabilidade transcultural.

scholarly journals One-Dimensional Pollutant Transport Modelling of Cadmium (Cd), Chromium (Cr) and Lead (Pb) in Saguling Reservoir

2020 ◽  
Vol 148 ◽  
pp. 07009
Author(s):  
Wiguna Sudiartha Gede Adi ◽  
Oginawati Katharina ◽  
Sofyan Asep ◽  
Ardiwinata ◽  
Kurnia Asep ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Relative Error ◽  
Mean Square ◽  
Transport Modelling ◽  
Test Models ◽  
Verification Test ◽  
Cadmium Lead

The existing conditions of the Saguling Reservoir are reported to have suffered severe heavy metal pollution due to the presence of wastewater inputs from various types of industries flowing into Citarum River and then accumulating in the Saguling Reservoir. From the results of calibration tests of heavy metal models on water using the Root Mean Square Error (RMSE) analysis and Relative Error (RE) analysis, obtained dispersion coefficients on Cadmium, Chromium, and Lead metals sequentially 1 m2 / second (with RMSE 0,00515 and 34% relative error); 1 m2 / second (with RMSE 0.00595 and relative error 26%); and 2.5 m2 / second (with RMSE 0.028205 and relative error 41.25%) which shows that the model has good capability to simulate the concentration of heavy metals approaching the actual data both in the dry and wet seasons. From the results of the verification test models of concentration of cadmium, lead and chromium in sediments using the Root Mean Square Error (RMSE) analysis and Relative Error (RE) analysis, obtained sequentially 18.53 and 77%; 10.43 and 47.15%; 2.789 and 33%. Error values in sediment concentrations are quite large because of the difficulty of making assumptions that are close to natural conditions.

DRYING KINETICS AND MOISTURE DIFFUSIVITY OF FOUR VARIETIES OF BAMBARA BEANS

2021 ◽  
Vol 6 (1) ◽  
pp. 30-33
Author(s):  
E.O. Awotona ◽  
A.O. Alade ◽  
S.A. Adebanjo ◽  
O. Duduyemi ◽  
T.J. Afolabi
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Moisture Diffusivity ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Fit Statistics ◽  
Drying Behavior ◽  
Maximum Coefficient

Drying of bambara beans was studied at 40oC at every 30 minutes in a Laboratory oven. Effective moisture diffusivity ranges between 5.886 x 10-10 m2/s – 4.354 x 10-10 m2/s respectively. The statistical criteria used in evaluation of the model were maximum coefficient of determination R2 and minimum root mean square error [RMSE]. Determination for goodness of fit statistics for drying of the beans was carried out. Midilli model was used to predict the drying curve. The Midili model was found to produce accurate predictions for all the four varieties of bambara beans and the model was shown to be an excellent model for predicting drying behavior of TVSU-47 and the R2 value was 0.9971 and the value of root mean square error was 0.0149 respectively.

scholarly journals Modelagem de Equações Estruturais e os testes de seleção – Caso do vestibular da Universidade Estadual do Ceará

2021 ◽  
Author(s):  
José Leudo Maia ◽  
Marcos Antonio Martins Lima
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Fit Index ◽  
Tucker Lewis Index

Resumo Este estudo teve como objetivo fazer uso da Modelagem de Equações Estruturais – MEE, para avaliar a qualidade do modelo empregado pela Universidade Estadual do Ceará (UECE), no processo de seleção de seus vestibulandos, o qual é baseado na Teoria Clássica dos Testes (TCT), assim como propor ajuste a esse modelo pelo uso da Análise Fatorial de Segunda Ordem e da Análise de Regressão, via MEE. Utilizou-se um banco de dados composto dos resultados das provas de 11.060 candidatos ao vestibular de 2018.1, cujo tratamento se deu por meio do software IBM SPSS Amos (2013, v.22), obtendo-se os seguintes indicadores de qualidade: CFI ( Comparative Fit Index ) = 0,925; GFI ( Goodness-of-fit Index ) = 0,965; TLI ( Tucker Lewis Index ) = 0,922, e RMSEA ( Root Mean Square Error of Aproximation ) = 0,019. Juntos, esses indicadores demonstraram que o modelo é robusto e bastante consistente, apresentando um R 2 (Coeficiente de Correlação de Pearson ) = 0,965, indicando que a proporção das covariâncias observadas entre as variáveis manifestas e explicada pelo modelo ajustado é bastante significativa. Todas as variáveis do modelo ajustado apresentaram elevados coeficientes de regressão com valores entre 0,87 e 0,99, permitindo uma boa discriminação entre as notas dos vestibulandos, principalmente aqueles com o mesmo número de questões respondidas corretamente.

scholarly journals Escala de Disposição para Perdoar: estrutura, consistência interna e invariância fatorial

2015 ◽  
Vol 32 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Valdiney Veloso Gouveia ◽  
Leogildo Alves Freires ◽  
Rildésia Silva Veloso Gouveia ◽  
José Farias de Souza Filho ◽  
Roosevelt Vilar Lobo de Souza ◽  
...  
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Fit Index

Este artigo teve como objetivo adaptar para o contexto brasileiro a Escala de Disposição para Perdoar, conhecendo evidências de validade (fatorial e convergente) e precisão (consistência interna, homogeneidade e confiabilidade composta). Nesse sentido, realizaram-se dois estudos. No estudo 1, participaram 220 estudantes universitários de uma instituição privada de João Pessoa, Paraíba, com idade média de 24 anos (81,7% do sexo feminino), que responderam à Escala de Disposição para Perdoar e a perguntas demográficas. Uma análise de componentes principais revelou uma estrutura unifatorial, explicando 44,3% da variância total, com alfa de Cronbach (α) de 0,88. No estudo 2, participaram 302 estudantes universitários de uma instituição pública da mesma cidade, apresentando idade média de 22 anos (52,3% do sexo masculino), tendo respondido aos mesmos instrumentos. Uma análise fatorial confirmatória corroborou a estrutura unifatorial (Goodness-of-Fit Index = 0,90, Root Mean-Square Error of Approximation = 0,09), que se mostrou invariante quanto ao gênero dos participantes (ΔRoot Mean-Square Error of Approximation <0,01). Além disso, observaram-se índices favoráveis de precisão (α = 0,85, homogeneidade = 0,30 e confiabilidade composta = 0,85), mostrando evidências de validade convergente (Variância Média Extraída = 0,82). Concluiu-se que a medida apresenta evidências de validade e precisão no contexto de pesquisa, porém são demandados novos estudos sobre sua estabilidade temporal e validade discriminante.

scholarly journals PENGEMBANGAN INSTRUMEN EVALUASI CIPP PADA PROGRAM PEMBELAJARAN TAHFIZ AL-QUR’AN DI PONDOK PESANTREN

2014 ◽  
Vol 18 (2) ◽  
pp. 215-233
Author(s):  
Muyasaroh Muyasaroh ◽  
Sutrisno Sutrisno
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Evaluation Model ◽  
Mean Square ◽  
Learning Program ◽  
Chi Square ◽  
Cronbach Alpha ◽  
Fit Index

Studi ini bertujuan untuk: (1) menghasilkan model pengembangan evaluasi program pembelajar’an tahfiẓ al-Quran diberi nama Coni P2, (2) menghasilkan teknik pelaksanaan evaluasi program pembelajaran tahfiẓ al-Qur’an, dan (3) menghasilkan struktur komponen dan indikator model evaluasi. Studi ini merupakan penelitian dan pengembangan (R&D) dengan menggunakan sembilan langkah dari 10 langkah model Borg dan Gall. Jumlah subjek uji coba pertama 33 orang, uji coba kedua 49 orang, dan uji coba ketiga 224 orang. Komponen model evaluasi yang digunakan adalah model evaluasi Stufflebeam (CIPP). Langkah-langkah evaluasi yang digunakan adalah langkah Malcolm Provus. Teknik pengumpul data yang digunakan adalah Delphi, FGD, kuesioner, observasi, wawancara, dan studi dokumentasi. Validitas konstruk dianalisis menggunakan CFA dan Reliabilitas menggunakan Cronbach Alpha. Hasil penelitian: (1) model evaluasi program Coni P2 dikembangkan dengan cara kajian teori, temuan di lapangan, Delphi, FGD, uji coba sebanyak tiga kali; (2) evaluasi di tiga pondok pesantren: Al-Ittifaqiah, Raudhatul Ulum, dan Raudhatul Qur’an ditemukan kesenjangan sarana belajar, kinerja guru, dan motivasi belajar santri; (3) komponen konstruk model evaluasi Coni P2 terdiri atas konteks, input, proses, dan produk, yang terbagi menjadi 13 indikator. Hasil analisis CFA: (1) Chi Square (χ²) = kecil; (2) ρ-value > 0,05; (3) Root Mean Square Error of Approximation (RMSEA) < 0,08; dan (4) Goodness of Fit Index (GFI) < 0,90.Kata kunci: pengembangan, evaluasi, tahfiẓ al-Qur’an______________________________________________________________ DEVELOPING CIPP EVALUATION INSTRUMENT FOR TAHFIZ AL-QUR’AN IN PONDOK PESANTRENAbstract The study aimed to: (1) generate an evaluation development  model of tahfiz Al-Qur’an learning program entitled Coni P2; (2) generate a technique of tahfiz Al-Qur’an learning program evaluation implementation; and (3) generate component structures and an indicators of evaluation model. The study was a research and development (R&D) type by implementing 9 of 10 steps in Borg and Gall’s model. The subject for the first trial the 33 people, for the second trial were 49 people, and for the third trial were 224 people. The implemented component of evaluation model was Stufflebeam Evaluation Model (CIPP). The evaluation steps that the researchers implemented were the ones taken from Malcolm Provus. The data gathering techniques that the researchers implemented were Delphi, FGD, questionnaires, observation, interview and study of documentation. The construct validity was analyzed by implementing CFA and the construct reliability was analyzed by implementing Cronbach Alpha. The results of the research were as follows: (1) the model of Coni P2 evaluation program was developed by implementing theoretical review, field findings, Delphi, FGD and three-time experiments; (2) from the evaluations performed in three pondok pesantren, namely Al-Ittifaqiah, Raudhatul Ulum and Raudhatul Qur’an, the researchers found discrepancy in learning facilities, teacher performance and santri’s learning motivation; and (3) the construct components of Coni P2 evaluation model consisted of context, input, process and product that were divided into 13 indicators. The results of CFA analysis were as follows: (1) (1) Chi Square (χ²) = kecil; (2) ρ-value > 0.05; (3) Root Mean Square Error of Approximation (RMSEA) < 0.08; dan (4) Goodness of Fit Index (GFI) < 0.90.Keywords: development, evaluation, tahfiz Al-Qur’an

scholarly journals Next Generation Network Real-Time Kinematic Interpolation Segment to Improve the User Accuracy

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Mohammed Ouassou ◽  
Anna B. O. Jensen ◽  
Jon G. O. Gjevestad ◽  
Oddgeir Kristiansen
Keyword(s):  
Real Time ◽  
Mean Square Error ◽  
Thin Plate ◽  
Goodness Of Fit ◽  
Spline Interpolation ◽  
Computation Time ◽  
Absolute Error ◽  
Kriging Interpolation ◽  
Mean Square ◽  
Real Time Kinematic

This paper demonstrates that automatic selection of the right interpolation/smoothing method in a GNSS-based network real-time kinematic (NRTK) interpolation segment can improve the accuracy of the rover position estimates and also the processing time in the NRTK processing center. The methods discussed and investigated are inverse distance weighting (IDW); bilinear and bicubic spline interpolation; kriging interpolation; thin-plate splines; and numerical approximation methods for spatial processes. The methods are implemented and tested using GNSS data from reference stations in the Norwegian network RTK service called CPOS. Data sets with an average baseline between reference stations of 60–70 km were selected. 12 prediction locations were used to analyze the performance of the interpolation methods by computing and comparing different measures of the goodness of fit such as the root mean square error (RMSE), mean square error, and mean absolute error, and also the computation time was compared. Results of the tests show that ordinary kriging with the Matérn covariance function clearly provides the best results. The thin-plate spline provides the second best results of the methods selected and with the test data used.

scholarly journals Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery

2019 ◽  
Vol 11 (10) ◽  
pp. 1145 ◽  
Author(s):  
Yoseline Angel ◽  
Rasmus Houborg ◽  
Matthew F. McCabe
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Composite Likelihood ◽  
Kriging Interpolation ◽  
Mean Square ◽  
Geostatistical Model ◽  
Covariance Functions ◽  
Spatiotemporal Interpolation ◽  
Cloud Removal

One of the major challenges in optical-based remote sensing is the presence of clouds, which imposes a hard constraint on the use of multispectral or hyperspectral satellite imagery for earth observation. While some studies have used interpolation models to remove cloud affected data, relatively few aim at restoration via the use of multi-temporal reference images. This paper proposes not only the use of image time-series, but also the implementation of a geostatistical model that considers the spatiotemporal correlation between them to fill the cloud-related gaps. Using Hyperion hyperspectral images, we demonstrate a capacity to reconstruct cloud-affected pixels and predict their underlying surface reflectance values. To do this, cloudy pixels were masked and a parametric family of non-separable covariance functions was automated fitted, using a composite likelihood estimator. A subset of cloud-free pixels per scene was used to perform a kriging interpolation and to predict the spectral reflectance per each cloud-affected pixel. The approach was evaluated using a benchmark dataset of cloud-free pixels, with a synthetic cloud superimposed upon these data. An overall root mean square error (RMSE) of between 0.5% and 16% of the reflectance was achieved, representing a relative root mean square error (rRMSE) of between 0.2% and 7.5%. The spectral similarity between the predicted and reference reflectance signatures was described by a mean spectral angle (MSA) of between 1° and 11°, demonstrating the spatial and spectral coherence of predictions. The approach provides an efficient spatiotemporal interpolation framework for cloud removal, gap-filling, and denoising in remotely sensed datasets.

scholarly journals KONSTRUK KINERJA KEPALA SEKOLAH DASAR DI DAERAH ISTIMEWA YOGYAKARTA

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Samsul Hadi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Second Order ◽  
Mean Square ◽  
Confirmatory Factor ◽  
Fit Index

Penelitian ini bertujuan untuk mengetahui model konstruk dan struktural kinerja kepala sekolah. Hasil penelitian ini diharapkan dapat memberi sumbangan terhadap pengukuran kinerja kepala sekolah di masa yang akan datang. Penelitian ini merupakan penelitian expost facto dengan populasi guru dan kepala sekolah dasar di Daerah Istimewa Yogyakarta. Sampel sebanyak 1239 guru dan 208 kepala sekolah dasar dipilih secara acak. Data guru dan kepala sekolah dianalisis dengan Second-Order Confirmatory Factor Analysis (Second-Order CFA) secara terpisah dan divalidasi silang dengan multi-sample CFA. Pengujian kecocokan model dilakukan menggunakan χ2 Satorra-Bentler dengan taraf signifikansi 5%, Comparative Goodness of Fit Index (CFI), dan Root Mean Square Error Approximation (RMSAE). Hasil penelitian menunjukkan hal-hal sebagai berikut. 1) Kinerja kepala sekolah mempunyai dimensi kepemimpinan, manajemen, dan kepribadian. 2) Berdasarkan data kepala sekolah, koefisien jalur dari dimensi dan muatan faktor dari indikator yang ada dalam model cukup tinggi, bernilai positif, dan signifikan. 3) Hasil validasi silang model konstruk kinerja kepala sekolah menggunakan data guru dan data kepala sekolah menunjukkan tidak ada perbedaan model. Kata kunci: model konstruk, persamaan pengukuran, persamaan struktural, kinerja kepala sekolah

Sign in / Sign up

Export Citation Format

Share Document