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Tytuł:
Use of high spatial resolution satellite data for monitoring and characterization of drought conditions in the Northwestern Algeria
Autorzy:
Abbes, M.
Hammed, A.
Lafrid, A.
Mahi, H.
Nehal, L.
Powiązania:
https://bibliotekanauki.pl/articles/89204.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
drought
Northwestern Algeria
SPI
NDVI
linear regression
satellite imagery
Opis:
Over the last decades, Algeria has witnessed intense and persistent drought periods characterized by a significant rainfall deficit. The Northwestern Algeria, such as the most south Mediterranean regions, is marked by alternating wet and dry periods and mixing between Atlantic and Mediterranean airs. In a climate context increasingly disturbed by anthropogenic activities, it is essential to analyze the dry episodes at spatial and temporal scales. In order to understand this problem, this work aims to use the potential of Landsat satellite imagery for monitoring drought conditions in the Cheliff watershed in the northwestern Algeria. As known, the behavior of vegetation is strongly related to climate changes. On this basis, a comparison of the variations in the standardized normalized difference vegetation index (NDVI) and those of the drought indices calculated from meteorological data was implemented. In fact, the rainfall series from fifty meteorological stations were analyzed. The standardized precipitation index (SPI) was calculated for the years 1987, 2000, 2006, 2011 and 2015, corresponding to the acquisition dates of Landsat images. Similarly, an extraction of the NDVI values was performed for each meteorological station. The linear regression between SPI and NDVI showed a good correlation. Thus, the obtained results enabled establishing a new drought index based essentially on satellite data. This index represents the advantage for monitoring spatially the drought phenomena and can solve the problem of climatic data lack.
Źródło:
Mining Science; 2018, 25; 71-99
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling Pollution Index Using Artificial Neural Network and Multiple Linear Regression Coupled with Genetic Algorithm
Autorzy:
Abdulkareem, Iman Ali
Abbas, Abdulhussain A.
Dawood, Ammar Salman
Powiązania:
https://bibliotekanauki.pl/articles/2068477.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
Shatt Al-Arab river
comprehensive pollution index
multiple linear regression
artificial neural network
genetic algorithm
Opis:
Shatt Al-Arab River in Basrah province, Iraq, was assessed by applying comprehensive pollution index (CPI) at fifteen sampling locations from 2011 to 2020, taking into consideration twelve physicochemical parameters which included pH, Tur., TDS, EC, TH, Na+, K+, Ca+2, Mg+2, Alk., SO4-2, and Cl-. The effectiveness of multiple linear regression (MLR) and artificial neural network (ANN) for predicting comprehensive pollution index was examined in this research. In order to determine the ideal values of the predictor parameters that lead to the lowest CPI value, the genetic algorithm coupled with multiple linear regression (GA-MLR) was used. A multi-layer feed-forward neural network with backpropagation algorithm was used in this study. The optimal ANN structure utilized in this research consisted of three layers: the input layer, one hidden layer, and one output layer. The predicted equation of the comprehensive pollution index was created using the regression technique and used as an objective function of the genetic algorithm. The minimum predicted comprehensive pollution index value recommended by the GA-MLR approach was 0.3777.
Źródło:
Journal of Ecological Engineering; 2022, 23, 3; 236--250
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Pseudo Bayesian and Linear Regresssion Global Thresholding
Autorzy:
Aboura, K.
Powiązania:
https://bibliotekanauki.pl/articles/226162.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
classification
image thresholding
probability
linear regression
Opis:
Classification is an important task in image analysis. Simply recognizing an object in an image can be a daunting step for a computer algorithm. The methodologies are often simple but rely heavily on the thresholding of the image. The operation of turning a color or gray-scale image into a black and white image is a determining step in the effectiveness of a solution. Thresholding methods perform differently in various problems where they are often used locally. Global thresholding is a difficult task in most problems. We highlight a pseudo Bayesian and a linear regression global thresholding methods that performed well in an engineering problem. The same approaches can be used in biomedical applications where the environment is better controlled.
Źródło:
International Journal of Electronics and Telecommunications; 2010, 56, 1; 63-72
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting the properties of corrugated base papers using multiple linear regression and artificial neural networks
Autorzy:
Adamopoulos, S
Karageorgos, A.
Rapti, E.
Birbilis, D.
Powiązania:
https://bibliotekanauki.pl/articles/52433.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
Tematy:
prediction
paper property
multiple linear regression
artificial neural network
linerboard
recovered fibre
Źródło:
Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2016, 59, 198
1644-3985
Pojawia się w:
Drewno. Prace Naukowe. Doniesienia. Komunikaty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Leadership and project success in development sector
Autorzy:
Ahmed, Saghir
Abdullahi, Abdullahi M.
Powiązania:
https://bibliotekanauki.pl/articles/522535.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Development sector
Multiple linear regression
Project success
Opis:
Aim/purpose – The study aims to investigate the relationship among the leadership, operational efficiency and project success in general and the impact of transformational leadership and operational efficiency on project success in particular. Design/methodology/approach – Mean comparison from descriptive statistics and multiple linear regression from inferential statistics was used to determine the association between variables and further impact of the transformational leadership and operational efficiency on project success in the development sector. The paper presents the results of a survey conducted among 200 employees from the top, middle & lower management levels of various national & international development organizations working in Pakistan like Microfinance Banks and other Rural Support Programs. Statistical Package for Social Sciences (SPSS) was used to process data. Findings – The result shows positive association among transformational leadership, operational efficiency and project success. In addition, it was found that transformational leadership and operational efficiency have a positive and statistically significant impact on the project success. It is concluded that both transformational leadership and operational efficiency are vital to achieving the optimum level of success in any project, especially in the development sector. Research implications/limitations – The integral limitation of the study was the respondents because most of the development organizations have their operations in rural areas where access was difficult because of limited time and resources. In addition, such organizations are always reluctant to provide survey feedback. Originality/value/contribution – The paper contribution is in the theoretical and practical knowledge of the project success factors in the development sector which is still a somehow unexplored area. Regulators of the development sector may be benefited from this study.
Źródło:
Journal of Economics and Management; 2017, 30; 5-19
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An investigation of the effects of moderator variables on the lower heating value estimation of lignite deposits in Turkey
Badanie wpływu zmiennych moderatora na szacowanie wartości opałowej złóż węgla brunatnego w Turcji
Autorzy:
Aksoy, Mehmet
Powiązania:
https://bibliotekanauki.pl/articles/27311661.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN
Tematy:
lignite deposit
lower heating value
multiple linear regression
moderator analysis
proximate analysis
węgiel brunatny
wartość opałowa
wielokrotna regresja liniowa
analiza moderatora
analiza techniczna
Opis:
Turkey has 19.3 billion tons of lignite reserves and the vast majority of these Neogene lignite deposits are preferred for use in thermal power plants due to their low calorific value. The calorific value of lignite used in thermal power plants for electricity generation must be kept under constant control. In the control of calorific value, the estimation of the lower and higher heating values (LHV and HHV) of lignite is of great importance. In the literature, there are many studies that establish a relationship between the heating values of coal and proximate and ultimate analysis variables. In the studies dealing with proximate analysis data, it is observed that although the coefficients of the obtained multiple linear regression models (MRM) are statistically insignificant, these models are used to predict heating values because of the meaningful correlation coefficient. In this study, it is investigated whether moderator variables are effective on LHV estimation with proximate analysis data collected from forty-one lignite basins in different regions of Turkey, and a moderator variable analysis (MVA) model is developed to be used for the prediction of LHV. As a result of the study, it is found that the proposed MVA model is in accordance with observation values (coefficient of determination R2 = 0.951), and absolute and standard errors are also small. Therefore, it is concluded that the use of MVA to estimate the LHV of Turkey’s lignite is found to be more statistically meaningful.
Turcja posiada 19,3 mld ton zasobów węgla brunatnego, a zdecydowana większość tych neogeńskich złóż węgla brunatnego jest preferowana do wykorzystania w elektrowniach cieplnych ze względu na ich niską wartość opałową. Wartość opałowa węgla brunatnego wykorzystywanego w elektrowniach ciepłowniczych do produkcji energii elektrycznej musi być stale kontrolowana. W procesie kontroli wartości opałowej bardzo ważne jest oszacowanie wartości opałowej i ciepła spalania węgla brunatnego. W literaturze istnieje wiele badań, które ustalają związek między wartościami opałowymi węgla a zmiennymi analizy przybliżonej (technicznej) i końcowej. W badaniach dotyczących danych analizy technicznej zaobserwowano, że chociaż współczynniki uzyskanych modeli wielokrotnej regresji liniowej (MRM) są statystycznie nieistotne, modele te są wykorzystywane do przewidywania wartości opałowych ze względu na znaczący współczynnik korelacji. W niniejszym artykule zbadano, czy zmienne moderatora są skuteczne w szacowaniu wartości opałowej (LHV) na podstawie danych z analizy technicznej zebranych z czterdziestu jeden zagłębi węgla brunatnego w różnych regionach Turcji, a także opracowano model analizy zmiennych moderatora (MVA), który ma być wykorzystywany do przewidywania LHV. W wyniku badań stwierdzono, że proponowany model MVA jest zgodny z wartościami obserwacji (współczynnik determinacji R2 = 0,951), a błędy bezwzględne i standardowe są również niewielkie. W związku z tym stwierdzono, że wykorzystanie MVA do oszacowania LHV tureckiego węgla brunatnego jest statystycznie uzasadnione.
Źródło:
Gospodarka Surowcami Mineralnymi; 2023, 39, 3; 199--216
0860-0953
Pojawia się w:
Gospodarka Surowcami Mineralnymi
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of genetic expression programming to optimize the parameters of the Muskingum method comparison with numerical methods, Euphrates river a case study
Autorzy:
Al-Bedyry, Najah
Mergan, Maher
Rasheed, Maha
Al-Khafaji, Zainab
Al-Husseinawi, Fatimah Nadeem
Powiązania:
https://bibliotekanauki.pl/articles/27312169.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
trasowanie rzeczne
programowanie ekspresji genetycznej
regresja liniowa wykładnicza
metoda Runge – Kutta czwartego rzędu
river routing
genetic expression programming
exponential linear regression
forth-order Runge–Kutta method
Opis:
The Muskingham method uses two formulas to describe the translation of flow surges in a river bed. The continuity formula is the first formula, while the relationship between the reach’s storage, inflow, and outflow is the second formula (the discharge storage formula); these formulas are applied to a portion of the river between two river cross sections. Several methods can be utilized to estimate the model’s parameters. This section contrasts the conventional graphic approach with three numerical methods: Genetic algorithm, Exponential regression, and Classical fourth-order Runge-Kutta. This application’s most noticeable plus point was the need to employ a few hydrological variables, such as intake, output, and duration. The location of the Euphrates entrance to the Iraqi territory in Husaybah city was chosen with its hydrological data during the period (1993-2017) to conduct this study. The goal function is established by accuracy criterion approaches (Sum of squares error and sum of squared deviations). Depending on the simulation findings, the suggested predictive flood routing ideawas highly acceptable with the prospect of adopting the Genetic Expression Programming model as a suitable and more accurate replacement to existing methods such as the Muskingum model and other numerical models, where this method gave results (R2 = 0.9984, SSQ = 1.06, SSSD = 80.75), These results achieved a hydrograph that is largely identical to what was given by the hydrological method called Muskingham.
Źródło:
Archives of Civil Engineering; 2023, 69, 3; 507--519
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Measuring the relative importance of applying engineering solutions to urban traffic intersections: a planning perspective
Autorzy:
Alrawi, F.
Powiązania:
https://bibliotekanauki.pl/articles/197693.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
transportation planning
intersections
traffic light
roundabout
underpass
overpass
linear regression
planowanie transportu
skrzyżowania
sygnalizacja świetlna
rondo
przejście podziemne
wiadukt
regresja liniowa
Opis:
Summary. This research is an attempt to compare engineering solutions for traffic intersections from a planning viewpoint. In this research, various solutions have been discussed for traffic intersections (traffic light, roundabout, underpass and overpass). The research highlighted the importance of each of these solutions in urban environments and clarified all variables related to the pros, cons, costs, capacity and environmental compatibility of each of these solutions with the surrounding urban environment. Weights were developed for all these variables, then correlation was determined using the linear regression method. The analysis of statistical results shows that the creation of underpasses often achieves most of the designated goals when compared to other solutions, despite some technical difficulties and high construction costs.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2018, 100; 5-13
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling Microcystis Cell Density in a Mediterranean Shallow Lake of Northeast Algeria (Oubeira Lake), Using Evolutionary and Classic Programming
Autorzy:
Arif, Salah
Djellal, Adel
Djebbari, Nawel
Belhaoues, Saber
Touati, Hassen
Guellati, Fatma Zohra
Bensouilah, Mourad
Powiązania:
https://bibliotekanauki.pl/articles/2174666.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
microcystis cell density
Multiple Linear Regression
Support Vector Machine
Particle Swarm Optimization
Genetic Algorithm
Bird Swarm Algorithm
Opis:
Caused by excess levels of nutrients and increased temperatures, freshwater cyanobacterial blooms have become a serious global issue. However, with the development of artificial intelligence and extreme learning machine methods, the forecasting of cyanobacteria blooms has become more feasible. We explored the use of multiple techniques, including both statistical [Multiple Regression Model (MLR) and Support Vector Machine (SVM)] and evolutionary [Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Bird Swarm Algorithm (BSA)], to approximate models for the prediction of Microcystis density. The data set was collected from Oubeira Lake, a natural shallow Mediterranean lake in the northeast of Algeria. From the correlation analysis of ten water variables monitored, six potential factors including temperature, ammonium, nitrate, and ortho-phosphate were selected. The performance indices showed; MLR and PSO provided the best results. PSO gave the best fitness but all techniques performed well. BSA had better fitness but was very slow across generations. PSO was faster than the other techniques and at generation 20 it passed BSA. GA passed BSA a little further, at generation 50. The major contributions of our work not only focus on the modelling process itself, but also take into consideration the main factors affecting Microcystis blooms, by incorporating them in all applied models.
Źródło:
Geomatics and Environmental Engineering; 2023, 17, 2; 31--68
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Correlation between air temperature and electricitydemand by linear regression and wavelet coherence approach: UK, Slovakia and Bosnia and Herzegovina case study
Autorzy:
Avdakovic, S
Ademovic, A.
Nuhanovic, A.
Powiązania:
https://bibliotekanauki.pl/articles/141710.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
power system
electricity demand
air temperature
linear regression
wavelet coherence
Opis:
In this paper, the results of correlations between air temperature and electricity demand by linear regression and Wavelet Coherence (WTC) approach for three different European countries are presented. The results show a very close relationship between air temperature and electricity demand for the selected power systems, however, the WTC approach presents interesting dynamics of correlations between air temperature and electricity demand at different time-frequency space and provide useful information for a more complete understanding of the related consumption.
Źródło:
Archives of Electrical Engineering; 2013, 62, 4; 521-532
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying the Wastewater Quality Index for Assessing the Effluent Quality of Recently Upgraded Meet Abo El-koum Wastewater Treatment Plant
Autorzy:
Ayoub, Mohamed
El-Morsy, Ahmed
Powiązania:
https://bibliotekanauki.pl/articles/1838434.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
assessment
evaluation
multiple linear regression
quality
wastewater
WWTP
wastewater treatment plant
Opis:
The wastewater quality index (WWQI) can be defined as a single value, which reflects the overall wastewater quality related to its input constituent parameters. The major objective of the present study was to investigate the suitability of the effluent quality from Meet Abo El-koum wastewater treatment plant in Egypt for safe disposal based on the wastewater quality index approach. Moreover, statistical analysis was applied to develop a simple model using multiple linear regression (MLR) for accurate prediction of WWQI depending on different wastewater quality parameters. The results indicate good quality of the treated wastewater for safe disposal in general. Moreover, it is apparent that about 17% of the WWQI values reached excellent quality referring to the classification of the WWQI levels. For greater simplicity, a relationship between BOD5 and COD was deduced using linear regression, so that the results of the BOD5 analyses that appear after five days can be skipped. This approximation can be used to calculate WWQI on a specific day given the results of the treated wastewater analyses on that day.
Źródło:
Journal of Ecological Engineering; 2021, 22, 2; 128-133
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parowanie potencjalne w wybranych obszarach Sudetów i Niżu Dolnośląskiego - prosta analiza potrzeb modelowania hydrologicznego
Potential evaporation in the Sudetes and Silesia Lowland - a simple analysis for the needs of hydrological modelling
Autorzy:
Bac, S.
Iwański, S.
Kuchar, L.
Powiązania:
https://bibliotekanauki.pl/articles/338214.pdf
Data publikacji:
2012
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
metoda najmniejszych kwadratów
parowanie potencjalne
regresja liniowa
field evaporation
least square method
linear regression
Opis:
W pracy wskazano możliwości aproksymacji przestrzennej wielkości parowania do celów modelowania hydrologicznego, z uwzględnieniem różnego kroku czasowego. Analizę współzależności parowania potencjalnego dla okresów miesięcznych wykonano za pomocą regresji liniowej. Wykorzystano unikalne dane, dotyczące parowania, uzyskane na podstawie dobowych i całorocznych (z okresów 1956-1964 i 1975-1979) wyników mierzonych za pomocą ewaporometrów Wilda. Wyniki z obserwacji tylko częściowo opublikowanych oraz archiwum obejmują informacje z dwóch stacji nizinnych oraz czterech położonych w Sudetach. Dane zebrano ze stacji na wysokościach nad poziomem morza w zakresie od 118 do 665 m oraz wzajemnych odległościach od 3 do 96 km. Istniejące zależności między parowaniem w różnych stacjach umożliwiają redukcję pomiarów w sieci oraz uzupełnianie i korektę odstających obserwacji. Analiza sugeruje też dalsze badania, uwzględniające redukcję kroku czasowego.
This paper presents a spatial approximation of monthly evaporation for hydrological purposes. A simple analysis of the correlation of monthly evaporation between six climate stations from the Sudetes and Silesian Lowland was made with the linear model. The analysis was based on the unique observations from two periods 1956-1964 and 1975-1979 obtained with the Wild's measuring devices. Obtained correlation between evaporation in different meteorological stations revealed a possibility of reducing the number of measurements/stations, obtaining estimates or correcting the outliers. Moreover, the study suggested a possibility of similar analysis for data from a shorter time-frame.
Źródło:
Woda-Środowisko-Obszary Wiejskie; 2012, 12, 2; 7-18
1642-8145
Pojawia się w:
Woda-Środowisko-Obszary Wiejskie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimability of linear parametric functions in a one-dimensional linear model
Autorzy:
Baksalary, J. K.
Kala, R.
Powiązania:
https://bibliotekanauki.pl/articles/747567.pdf
Data publikacji:
1978
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Linear regression
Opis:
Artykuł nie zawiera streszczenia
In the general linear model Ey=Xξ, the vector Cξ is estimable whenever there exists a matrix L such that ELy=Cξ. Several characterizations of estimability are presented. The haracterizations concern matrix and rank equalities based on X and XX′.  Moreover, usefulness of such characterizations is discussed from a computational point of view. For new results on this subject see a paper by I. S. Alalouf and G. P. H. Styan
Źródło:
Mathematica Applicanda; 1978, 6, 12
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimability of linear parametric functions in a one-dimensional linear model with restrictions
Autorzy:
Baksalary, J. K.
Kala, R.
Powiązania:
https://bibliotekanauki.pl/articles/747611.pdf
Data publikacji:
1978
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Linear regression
Opis:
Artykuł nie zawiera streszczenia
The problem of estimability of the vector Cξ in the general linear model Ey=Xξ is discussed. It is assumed that the vector of parameters ξ is a linear manifold Ω given by Rξ=s, where the matrix R and the vector s are known. The vector Cξ is estimable if there exist matrices L and M such that ELy+Ms=Cξ for all ξ in Ω. Using the results of a paper by the authors [62046 above], necessary and sufficient conditions for estimability are presented with short and elegant proofs.
Źródło:
Mathematica Applicanda; 1978, 6, 12
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting and minimizing the blasting cost in limestone mines using a combination of gene expression programming and particle swarm optimization
Autorzy:
Bastami, Reza
Bazzazi, Abbas Aghajani
Shoormasti, Hadi Hamidian
Ahangari, Kaveh
Powiązania:
https://bibliotekanauki.pl/articles/1853861.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
kopalnia wapienia
wybuch detonacyjny
regresja nieliniowa
blasting cost
limestone mine
gene expression programming
non-linear multivariate regression
particle swarm optimization algorithm
environmental impacts
Opis:
Blasting cost prediction and optimization is of great importance and significance to achieve optimal fragmentation through controlling the adverse consequences of the blasting process. By gathering explosive data from six limestone mines in Iran, the present study aimed to develop a model to predict blasting cost, by gene expression programming method. The model presented a higher correlation coefficient (0.933) and a lower root mean square error (1088) comparing to the linear and nonlinear multivariate regression models. Based on the sensitivity analysis, spacing and ANFO value had the most and least impact on blasting cost, respectively. In addition to achieving blasting cost equation, the constraints such as frag-mentation, fly rock, and back break were considered and analyzed by the gene expression programming method for blasting cost optimization. The results showed that the ANFO value was 9634 kg, hole dia-meter 76 mm, hole number 398, hole length 8.8 m, burden 2.8 m, spacing 3.4 m, hardness 3 Mhos, and uniaxial compressive strength 530 kg/cm2 as the blast design parameters, and blasting cost was obtainedas 6072 Rials/ton, by taking into account all the constraints. Compared to the lowest blasting cost among the 146-research data (7157 Rials/ton), this cost led to a 15.2% reduction in the blasting cost and optimal control of the adverse consequences of the blasting process.
Źródło:
Archives of Mining Sciences; 2020, 65, 4; 835-850
0860-7001
Pojawia się w:
Archives of Mining Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 173

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