A Novel Combination of Gradient Boosted Tree and Optimized ANN Models for Forecasting Ground Vibration Due to Quarry Blasting     

Peng  Kang  Zeng  Jie  Armaghani  Danial Jahed  Hasanipanah  Mahdi  Chen  Qiusong 《Natural Resources Research》2021,30(6):4657-4671

Natural Resources Research - An ensemble technique namely gradient boosted tree (GBTs) and several optimized neural network models were hybridized to predict peak particle velocity (PPV) caused by...  相似文献   

A Combination of Fuzzy Delphi Method and ANN-based Models to Investigate Factors of Flyrock Induced by Mine Blasting     

Li  Diyuan  Koopialipoor  Mohammadreza  Armaghani  Danial Jahed 《Natural Resources Research》2021,30(2):1905-1924

Natural Resources Research - The identification of parameters that affect mining is one of the requirements in executive work in this field. Due to the dangers of flyrock, studying the role of the...  相似文献   

Random Forest and Bayesian Network Techniques for Probabilistic Prediction of Flyrock Induced by Blasting in Quarry Sites     

Han  Han  Jahed Armaghani  Danial  Tarinejad  Reza  Zhou  Jian  Tahir  M. M. 《Natural Resources Research》2020,29(2):655-667

Natural Resources Research - Flyrock is one of the most important environmental and hazardous issues in mine blasting, which can affect equipment and people, and may lead to fatal accidents....  相似文献   

Evaluation and Optimization of Prediction of Toe that Arises from Mine Blasting Operation Using Various Soft Computing Techniques     

Sadeghi  Farhang  Monjezi  Masoud  Jahed Armaghani  Danial 《Natural Resources Research》2020,29(2):887-903

Natural Resources Research - Drilling and blasting operations are one of the most effective techniques for rock removal in mines. However, these operations are associated with some environmental...  相似文献   

A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock     

Murlidhar  Bhatawdekar Ramesh  Kumar  Deepak  Jahed Armaghani  Danial  Mohamad  Edy Tonnizam  Roy  Bishwajit  Pham  Binh Thai 《Natural Resources Research》2020,29(6):4103-4120

Natural Resources Research - Blasting is an economical technique for rock breaking in hard rock excavation. One of its complex undesired environmental effects is flyrock, which may result in human...  相似文献   

Juvenile Winter Flounder (<Emphasis Type="Italic">Pseudopleuronectes americanus</Emphasis>) and Summer Flounder (<Emphasis Type="Italic">Paralichthys dentatus</Emphasis>) Utilization of Southern New England Nurseries: Comparisons Among Estuarine,Tidal River,and Coastal Lagoon Shallow-Water Habitats     

David L. Taylor  Jason McNamee  John Lake  Carissa L. Gervasi  Danial G. Palance 《Estuaries and Coasts》2016,39(5):1505-1525

This study evaluated the relative importance of the Narragansett Bay estuary (RI and MA, USA), and associated tidal rivers and coastal lagoons, as nurseries for juvenile winter flounder, Pseudopleuronectes americanus, and summer flounder, Paralichthys dentatus. Winter flounder (WF) and summer flounder (SF) abundance and growth were measured from May to October (2009–2013) and served as indicators for the use and quality of shallow-water habitats (water depth <1.5–3.0 m). These bioindicators were then analyzed with respect to physiochemical conditions to determine the mechanisms underlying intraspecific habitat selection. WF and SF abundances were greatest in late May and June (maximum monthly mean?=?4.9 and 0.55 flounder/m² for WF and SF, respectively) and were significantly higher in the tidal rivers relative to the bay and lagoons. Habitat-related patterns in WF and SF abundance were primarily governed by their preferences for oligohaline (0.1–5 ppt) and mesohaline (6–18 ppt) waters, but also their respective avoidance of hypoxic conditions (<4 mg DO/L) and warm water temperatures (>25 °C). Flounder habitat usage was also positively related to sediment organic content, which may be due to these substrates having sufficiently high prey densities. WF growth rates (mean?=?0.25?±?0.14 mm/day) were negatively correlated with the abundance of conspecifics, whereas SF growth (mean?=?1.39?±?0.46 mm/day) was positively related to temperature and salinity. Also, contrary to expectations, flounder occupied habitats that offered no ostensible advantage in intraspecific growth rates. WF and SF exposed to low salinities in certain rivers likely experienced increased osmoregulatory costs, thereby reducing energy for somatic growth. Low-salinity habitats, however, may benefit flounder by providing refugia from predation or reduced competition with other estuarine fishes and macroinvertebrates. Examining WF and SF abundance and growth across each species’ broader geographic distribution revealed that southern New England habitats may constitute functionally significant nurseries. These results also indicated that juvenile SF have a geographic range extending further north than previously recognized.  相似文献   

Deriving an intelligent model for soil compression index utilizing multi-gene genetic programming     

Danial Mohammadzadeh S  Jafar Bolouri Bazaz  S. H. Vafaee Jani Yazd  Amir H. Alavi 《Environmental Earth Sciences》2016,75(3):262

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Artificial Neural Network and Firefly Algorithm for Estimation and Minimization of Ground Vibration Induced by Blasting in a Mine     

Bayat  Parichehr  Monjezi  Masoud  Rezakhah  Mojtaba  Armaghani  Danial Jahed 《Natural Resources Research》2020,29(6):4121-4132

Natural Resources Research - It is of a high importance to introduce intelligent systems for estimation and optimization of blasting-induced ground vibration because it is one the most unwanted...  相似文献   

Use of Intelligent Methods to Design Effective Pattern Parameters of Mine Blasting to Minimize Flyrock Distance     

Zhou  Jian  Koopialipoor  Mohammadreza  Murlidhar  Bhatawdekar Ramesh  Fatemi  Seyed Alireza  Tahir  M. M.  Jahed Armaghani  Danial  Li  Chuanqi 《Natural Resources Research》2020,29(2):625-639

Flyrock is one of the most important environmental issues in mine blasting, which can affect equipment, people and could cause fatal accidents. Therefore, minimization of this environmental issue of blasting must be considered as the ultimate objective of many rock removal projects. This paper describes a new minimization procedure of flyrock using intelligent approaches, i.e., artificial neural network (ANN) and particle swarm optimization (PSO) algorithms. The most effective factors of flyrock were used as model inputs while the output of the system was set as flyrock distance. In the initial stage, an ANN model was constructed and proposed with high degree of accuracy. Then, two different strategies according to ideal and engineering condition designs were considered and implemented using PSO algorithm. The two main parameters of PSO algorithm for optimal design were obtained as 50 for number of particle and 1000 for number of iteration. Flyrock values were reduced in ideal condition to 34 m; while in engineering condition, this value was reduced to 109 m. In addition, an appropriate blasting pattern was proposed. It can be concluded that using the proposed techniques and patterns, flyrock risks in the studied mine can be significantly minimized and controlled.

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Application of Tree-Based Predictive Models to Forecast Air Overpressure Induced by Mine Blasting     

Ramesh Murlidhar  Bhatawdekar  Yazdani Bejarbaneh  Behnam  Jahed Armaghani  Danial  Mohammed  Ahmed Salih  Tonnizam Mohamad  Edy 《Natural Resources Research》2021,30(2):1865-1887

Natural Resources Research - In surface mines and underground excavations, every blasting operation can have some destructive environmental impacts, among which air overpressure (AOp) is of major...  相似文献