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Search results for: Abdolrasoul Telvari

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</div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Abdolrasoul Telvari</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Time Series Modelling and Prediction of River Runoff: Case Study of Karkheh River, Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Karim%20Hamidi%20Machekposhti">Karim Hamidi Machekposhti</a>, <a href="https://publications.waset.org/search?q=Hossein%20Sedghi"> Hossein Sedghi</a>, <a href="https://publications.waset.org/search?q=Abdolrasoul%20Telvari"> Abdolrasoul Telvari</a>, <a href="https://publications.waset.org/search?q=Hossein%20Babazadeh"> Hossein Babazadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Rainfall and runoff phenomenon is a chaotic and complex outcome of nature which requires sophisticated modelling and simulation methods for explanation and use. Time Series modelling allows runoff data analysis and can be used as forecasting tool. In the paper attempt is made to model river runoff data and predict the future behavioural pattern of river based on annual past observations of annual river runoff. The river runoff analysis and predict are done using ARIMA model. For evaluating the efficiency of prediction to hydrological events such as rainfall, runoff and etc., we use the statistical formulae applicable. The good agreement between predicted and observation river runoff coefficient of determination (R<sup>2</sup>) display that the ARIMA (4,1,1) is the suitable model for predicting Karkheh River runoff at Iran.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Time%20series%20modelling" title="Time series modelling">Time series modelling</a>, <a href="https://publications.waset.org/search?q=ARIMA%20model" title=" ARIMA model"> ARIMA model</a>, <a href="https://publications.waset.org/search?q=River%20runoff" title=" River runoff"> River runoff</a>, <a href="https://publications.waset.org/search?q=Karkheh%20River" title=" Karkheh River"> Karkheh River</a>, <a href="https://publications.waset.org/search?q=CLS%20method." title=" CLS method."> CLS method.</a> </p> <a href="https://publications.waset.org/10008874/time-series-modelling-and-prediction-of-river-runoff-case-study-of-karkheh-river-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10008874/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10008874/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10008874/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10008874/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10008874/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10008874/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10008874/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10008874/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10008874/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10008874/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10008874.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">799</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Flood Predicting in Karkheh River Basin Using Stochastic ARIMA Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Karim%20Hamidi%20Machekposhti">Karim Hamidi Machekposhti</a>, <a href="https://publications.waset.org/search?q=Hossein%20Sedghi"> Hossein Sedghi</a>, <a href="https://publications.waset.org/search?q=Abdolrasoul%20Telvari"> Abdolrasoul Telvari</a>, <a href="https://publications.waset.org/search?q=Hossein%20Babazadeh"> Hossein Babazadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Floods have huge environmental and economic impact. Therefore, flood prediction is given a lot of attention due to its importance. This study analysed the annual maximum streamflow (discharge) (AMS or AMD) of Karkheh River in Karkheh River Basin for flood predicting using ARIMA model. For this purpose, we use the Box-Jenkins approach, which contains four-stage method model identification, parameter estimation, diagnostic checking and forecasting (predicting). The main tool used in ARIMA modelling was the SAS and SPSS software. Model identification was done by visual inspection on the ACF and PACF. SAS software computed the model parameters using the ML, CLS and ULS methods. The diagnostic checking tests, AIC criterion, RACF graph and RPACF graphs, were used for selected model verification. In this study, the best ARIMA models for Annual Maximum Discharge (AMD) time series was (4,1,1) with their AIC value of 88.87. The RACF and RPACF showed residuals&rsquo; independence. To forecast AMD for 10 future years, this model showed the ability of the model to predict floods of the river under study in the Karkheh River Basin. Model accuracy was checked by comparing the predicted and observation series by using coefficient of determination (R<sup>2</sup>).</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Time%20series%20modelling" title="Time series modelling">Time series modelling</a>, <a href="https://publications.waset.org/search?q=stochastic%20processes" title=" stochastic processes"> stochastic processes</a>, <a href="https://publications.waset.org/search?q=ARIMA%20model" title=" ARIMA model"> ARIMA model</a>, <a href="https://publications.waset.org/search?q=Karkheh%20River." title=" Karkheh River."> Karkheh River.</a> </p> <a href="https://publications.waset.org/10008713/flood-predicting-in-karkheh-river-basin-using-stochastic-arima-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10008713/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10008713/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10008713/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10008713/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10008713/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10008713/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10008713/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10008713/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10008713/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10008713/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10008713.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1044</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> S-S Coupling of Thiols to Disulfides Using Ionic Liquid in the Presence of Free Nano-Fe2O3 Catalyst</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Askar%20Sabet">Askar Sabet</a>, <a href="https://publications.waset.org/search?q=Abdolrasoul%20Fakhraee"> Abdolrasoul Fakhraee</a>, <a href="https://publications.waset.org/search?q=Motahahre%20Ramezanpour"> Motahahre Ramezanpour</a>, <a href="https://publications.waset.org/search?q=Noorallah%20Alipour"> Noorallah Alipour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>An efficient and green method for oxidation of thiols to the corresponding disulfides is reported using ionic liquid [HSO3N(C2H4OSO3H)3] in the presence of free nano-Fe2O3 at 60&deg;C. Ionic liquid is selective oxidant for S-S Coupling variety aliphatic and aromatic of thiols to corresponding disulfide in the presence of free nano-Fe2O3 as recoverable catalyst. Reaction has been performed in methanol as an inexpensive solvent. This reaction is clean and easy work-up with no side reaction.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Thiol" title="Thiol">Thiol</a>, <a href="https://publications.waset.org/search?q=Disulfide" title=" Disulfide"> Disulfide</a>, <a href="https://publications.waset.org/search?q=Ionic%20liquid" title=" Ionic liquid"> Ionic liquid</a>, <a href="https://publications.waset.org/search?q=Free%20Nano-Fe2O3" title=" Free Nano-Fe2O3"> Free Nano-Fe2O3</a>, <a href="https://publications.waset.org/search?q=Oxidation" title=" Oxidation"> Oxidation</a>, <a href="https://publications.waset.org/search?q=Coupling." title=" Coupling."> Coupling.</a> </p> <a href="https://publications.waset.org/10000345/s-s-coupling-of-thiols-to-disulfides-using-ionic-liquid-in-the-presence-of-free-nano-fe2o3-catalyst" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10000345/apa" target="_blank" rel="nofollow" class="btn 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