Menu
Goldschmidt2017 gsa2017 agu2017 egu2017

Just Accepted Manuscripts

  • Afshin Partovian, Vahid Nourani, Mohammad Taghi Aalami. 2016. Optimizing Neural Network for Monthly Rainfall-Runoff Modeling with Denoised-Jittered Data. Journal of Tethys, Vol. 4, No. 4, 284-294.

Abstract:

Successful modeling of hydro-environmental processes widely relies on quantity and quality of accessible data and noisy data might effect on the functioning of the modeling. On the other hand in training phase of any Artificial Intelligence (AI) based model, each training data set is usually a limited sample of possible patterns of the process and hence, might not show the behavior of whole population. Accordingly in the present article first, wavelet-based denoising method was used in order to smooth hydrological time series and then small normally distributed noises with the mean of zero and various standard deviations were generated and added to the smoothed time series to form different denoised-jittered training data sets, for Artificial Neural Network (ANN) modeling of monthly rainfall – runoff process of the Pole Saheb(Anyan) station in Zarrineh River watershed, which is a portion of orumiyeh lake drainage basin, that is located in Iran. To evaluate the modeling performance, the obtained results were compared with those of multi linear regression and Auto Regressive Integrated Moving Average models. Comparison of the obtained results via the trained ANN using denoised- jittered data showed that the proposed data pre-processing approach could improve performance of the ANN based rainfall-runoff modeling of the case study up to 38% in the verification phase.

Full-Text


  • Gholamreza Ghadami. 2016. Geochemical and Petrogenesis of Granitoides rocks in South-East of Centeral Iranian Volcanic Belt, North-West of Share-Babak, Kerman Province, Iran. Journal of Tethys, Vol. 4, No. 4, 295-311.

Abstract:

In the Centeral Iranian Volcanic Belt (CIVB), north-west of Shahre-Babak, in area of Javazm, Dehaj and khabr, about 20 plutonic porphyritic tonalitic to granodioritic masses (1-50 km2) are intruded into a varity of rock sequences from Eocene to Early Miocene in age. Tonalitic and granodioritic rocks are some part of Dehaj-Sardoieh belt and having early Miocene age. The CIVB contains intrusive and extrusive rockes of Cretaceous-Quaternary age. Geochemical studied indicate that the subalkalic tonalitic to granodioritic masses belong to I-type granitoides and have an adakitic composition tendency with Na2O/K2O (1.82-2.57), high Sr (584-1040 ppm), Mg#=(0.2-0.52) and low Y (7.3-10.7ppm), low Yb (0.7-1.18ppm), and low HREE. Fractionated REE patterns show that, (Ce/Yb)N = 10-22, absence of negative Eu anomaly, low content of Y, Nb, Ti, and high Sr/Y (74-134) and (Ce/Yb)N ratios. Based on geochemical data the source of tonalitic and granodioritic magma was probably garnet-amphibolite or amphibole-eclogite, possibly generated during subduction of the Neo-Tethyan oceanic slab beneath the Central Iran microplate. The adakitic plutonism was followed by adakitic volcanism in Mio-Peliocene and eruption of alkaline magmatism in this area. The thermal needs for slab melting results the shear stress of oblique convergent. The tectonic setting of tonalitic and granodioritic masses are an active continental margin and belong to volcanic arc granitoides.

Full-Text


  • Ali Niroumand, Rouzbeh Dabiri, Firouz Baradare Razizadeh. 2016. Considering of Soil Liquefaction Hazard at the Downstream Area of Sattarkhan Dam Using Shear Wave Velocity during Ahar-Varzeghan Earthquake 2012. Journal of Tethys, Vol. 4, No. 4, 312-324.

Abstract:

One of the important problems in earthquake geotechnical engineering is liquefaction phenomenon that happens in loose saturated granular soils. In this study, 11 boreholes from Govanjik and dayalar area in downstream of Sattarkhan Dam collected and evaluated. Results of research are showed that with assuming cementation in soils, liquefaction potential is weak to moderate than non-cemented condition. Also, value of LPI based on Vs (both of cementation and non-cementation status) is more than SPT.

Full-Text

—————————————————————————————————————————————————————–