Ecology & Enviroment

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

The accuracy of Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), wavelet-ANN and wavelet-ANFIS in predicting monthly water salinity levels of northwest Iran’s Aji-Chay River was assessed. The models were calibrated, validated and tested using different subsets of monthly records (October 1983 to September 2011) of individual solute (Ca2?, Mg 2?, Na?, SO 4 2- and Cl-) concentrations (input parameters, meq L-1), and electrical conductivity-based salinity levels (output parameter, lS cm -1), collected by the East Azarbaijan regional water authority. Based on the statistical criteria of coefficient of determination (R2), normalized root mean square error (NRMSE), Nash–Sutcliffe efficiency coefficient (NSC) and threshold statistics (TS) the ANFIS model was found to outperform the ANN model.

Genetic diversity and population genetic structure of Wels (Silurus glanis Linnaeus, 1758) in the northwest of Iran

Genetic diversity and population genetic structure of Wels (Silurus glanis Linnaeus, 1758) in the northwest of Iran

The genetic diversity and genetic structure of four Silurus glanis (Linnaeus, 1758) populations were evaluated using ISSR markers in the northwestern Iran to understand the potential benefit of these populations for breeding purposes and/or any necessary conservation programs.

Long-term impacts from damming and water level manipulation on flow and salinity regimes in Lake Urmia, Iran

Long-term impacts from damming and water level manipulation on flow and salinity regimes in Lake Urmia, Iran

, the flow and salinity regimes were numerically simulated for the next four decades. The validity of the pseudo-three-dimensional hydrodynamic and advection-dispersion models was assessed through sensitivity analysis of the models and comparing the simulated results against field measurements.

The Drying of Iran's Urmia Lake and its Environmental Consequences

The Drying of Iran's Urmia Lake and its Environmental Consequences

Urmia Lake, drying of Iran's Urmia Lake and its environmental consequences, the main causes of decline, serious impacts of this crisis, and possible actions are the main subjects of this article.

Urmia Lake Crisis and Roadmap for Ecological Restoration of Urmia Lake Three Papers Submitted

 Urmia Lake Crisis and Roadmap for Ecological Restoration of Urmia Lake Three Papers Submitted

This paper explores the similarities, and dissimilarities, between the Great Salt Lake (GSL), Utah, USA and Lake Urmia, West Azerbaijan, Iran. The purpose of comparing the two lakes and their management is to identify areas of expertise, experience (successes as well as failures and mistakes), technology, strategic approaches, and outcomes that can be shared between experts, scientists and resource managers from Iran and the USA. he primary goal is to quickly and efficiently assist with the implementation of the Roadmap for Ecological Restoration of Lake Urmia. The condition of Lake Urmia at present is an indisputable crisis: the lake is in an absolutely dire condition and will become a tragedy and a disaster on a monumental scale if effective restoration measures are not enacted promptly and correctly.

Length-weight and length-length relationships and condition factor of six cyprinid fish species from Zarrineh River (Urmia Lake basin, Iran)

Length-weight and length-length relationships and condition factor of six cyprinid fish species from Zarrineh River (Urmia Lake basin, Iran)

This research was conducted to study the length-weight and length length relationships and condition factor of six cyprinid fish species viz. Alburnus atropatena, Barbus lacerta, Capoeta capoeta, Carrasius gibelio, Romanogobio macropterus and Pseudorasbora parva from Zarrineh River (Urmia Lake basin, Iran). A total of 188 specimens ranging from 2.9 to 21.4cm in total length and 0.22 to 176g in total weight were collected.

SAVING IRAN’S GREAT SALT LAKE By Richard Stone, at Urmia Lake, Iran

SAVING IRAN’S GREAT SALT LAKE By Richard Stone, at Urmia Lake, Iran

Urmia Lake, in Iran’s northwestern kilometers—a bit larger than the Great Salt Lake in Utah. Flamingos, egrets, and other waterfowl feasted on brine shrimp, and resorts catered to tourists who believed that bathing in the saline waters improves health. But after gradually receding for years, the water body that the local Azeri people once revered as their “turquoise solitaire” shriveled last year to a mere 10% of its maximum. Salt lakes pulse like lungs, swelling during wet periods and contracting during the dry season. But Urmia’s contraction at the end of 2014 was more like a death rattle.

Quality evaluation of Artemia urmiana Günther (Urmia Lake, Iran) with special emphasis on its particular cyst characteristics (International Study on Artemia LXIX)

Quality evaluation of Artemia urmiana Günther (Urmia Lake, Iran) with special emphasis on its particular cyst characteristics

Artemia urmiana cysts were collected from seven sites in Urmia Lake, Iran. Biometrical analysis revealed that the mean values
for the untreated cysts ranged from 262.7 to 286.6 μm, decapsulated cysts from 258.6 to 273.9 μm, and the chorion thickness
ranged from 1.2 to 9.3 μm. The cyst samples were tested for their buoyancy at salinities of 35, 50, 100, 150 and 200 g/l. Two cyst
batches from Great Salt Lake (Artemia franciscana) were also tested as reference material. It was found that the majority of Urmia
cysts (over 60%) sank after 72 h even at the salinity of 200 g/l, while, GSL cysts reached a much lower figure (less than 10%) after
the same time period. Transmission electron microscopy studies of the Urmia cyst chorion revealed a thinner alveolar layer and a
thicker fibrous layer in comparison with the respective layers of A. franciscana cysts.

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