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Hydraulogic Predictions Using TFN Model (Case Study of Urmia Lake Basin)
,
M.Sc. Thesis
Sharif University of Technology
;
Abrishamchi, Ahmad
(Supervisor)
Abstract
The Urmia Lake in the north west of Iran and one of the most important habitats in the world is in danger of drying. Drought of recent years, increasing of temperature and evaporation and also construction of several dams in Urmia Lake basin can be considered as the main factors of decreasing the Lake level. Simultaneous forecasts of lake level and inflow streams help us to make better decisions for allocating and releasing enough water for environmental demands such as Urmia Lake. This study aims to determine relationships between historical information of basin with streamflow of Ajichai and Urmia Lake level, and use them for predicting the further conditions. In this process, streamflow...
Determining the Ecological Balance of Lake Urmia According to Climatic Fluctuations and New Water Conditions in the Region
, M.Sc. Thesis Sharif University of Technology ; Agha Mohammad Hossein Tajrishi, Masoud (Supervisor)
Abstract
Lake Urmia is the largest inland lake of Iran and one of the most important water ecosystems in Iran and the world. The ecosystem of this lake is a typical example of a closed drainage basin into which all the runoff flows in the rivers of the basin are discharged. Because of its unique natural and ecological features, Urmia Lake has been declared as a national park since 1346, along with Kabudan and Qion Daghi islands, among the protected areas. Among the most important invertebrates in the lake, we can mention Artemia, which is a species of saltwater shrimp and one of the native species of Lake Urmia. This species is the most important source of food for many water birds such as flamingos....
Spatial-temporal Variation of Urmia Lake Basin Using Artificial Intelligence Algorithms
, M.Sc. Thesis Sharif University of Technology ; Torkian, Ayoub (Supervisor)
Abstract
Water shortages resulting from macro-environmental climate changes as well as local inefficient agricultural practices and dam constructions activities have resulted in the gradual reduction of water level in Urmia Lake, located in the northwest of Iran. As such, restoration efforts were initiated to prevent further adverse impacts exacerbating the conditions and creating secondary problems such as regional salt dust generation and dispersion, resulting in health issues for the greater area population in the neighboring vicinities. The utilization of advanced forecast modeling based on deep learning algorithms can assist the authorities to manage better multi-dimensional issues affecting the...
Effects of water level decline in Lake Urmia, Iran, on local climate conditions
, Article Water (Switzerland) ; Volume 12, Issue 8 , 2020 ; Moshir Panahi, D ; Mousavi, H ; Kalantari, Z ; Tajrishy, M ; Sharif University of Technology
MDPI AG
2020
Abstract
Lake Urmia in northwestern Iran is the largest lake in Iran and the second largest saltwater lake in the world. The water level in Lake Urmia has decreased dramatically in recent years, due to drought, climate change, and the overuse of water resources for irrigation. This shrinking of the lake may affect local climate conditions, assuming that the lake itself affects the local climate. In this study, we quantified the lake's impact on the local climate by analyzing hourly time series of data on climate variables (temperature, vapor pressure, relative humidity, evaporation, and dewpoint temperature for all seasons, and local lake/land breezes in summer) for the period 1961-2016. For this, we...
Influence of lakebed sediment deposit on the interaction of hypersaline lake and groundwater: A simplified case of lake Urmia, Iran
, Article Journal of Hydrology ; Volume 588 , 2020 ; Ataie Ashtiani, B ; Safaie, A ; Simmons, C. T ; Sharif University of Technology
Elsevier B.V
2020
Abstract
Lake Urmia, which was once the second-largest saline lake in the world, has been shrinking dramatically. Moreover, Lake Urmia has become supersaturated with total salinity averaging more than 350 g/l. Salt precipitation and dissolved materials brought by inflowing rivers have formed a layer of sediment with low hydraulic conductivity on the lakebed. Considering the flat bathymetry of Lake Urmia, we conducted a series of numerical simulation scenarios to study the groundwater flow pattern in the vicinity of the hypersaline Lake Urmia using COMSOL Multiphysics®. In the first step, we performed the simulations in steady-state conditions. Secondly, we simulated the lake level fall in 10 years at...
40-years of lake urmia restoration research: review, synthesis and next steps
, Article Science of the Total Environment ; Volume 832 , 2022 ; 00489697 (ISSN) ; Rosenberg, D. E ; Ghale, Y. A. G ; Khazaei, B ; Null, S. E ; Raja, O ; Safaie, A ; Sima, S ; Sorooshian, A ; Wurtsbaugh, W. A ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Public concern over environmental issues such as ecosystem degradation is high. However, restoring coupled human-natural systems requires integration across many science, technology, engineering, management, and governance topics that are presently fragmented. Here, we synthesized 544 peer-reviewed articles published through September 2020 on the desiccation and nascent recovery of Lake Urmia in northwest Iran. We answered nine questions of scientific and popular interest about causes, impacts, stabilization, recovery, and next steps. We find: (1) Expansion of irrigated agriculture, dam construction, and mismanagement impacted the lake more than temperature increases and precipitation...
Using satellite data to extract volume-area-elevation relationships for Urmia Lake, Iran
, Article Journal of Great Lakes Research ; Volume 39, Issue 1 , March , 2013 , Pages 90-99 ; 03801330 (ISSN) ; Tajrishy, M ; Sharif University of Technology
2013
Abstract
Urmia Lake in the northwest of Iran is the second largest hyper-saline lake worldwide. During the past two decades, a significant water level decline has occurred in the lake. The existing estimations for the lake water balance are widely variable because the lake bathymetry is unknown. The main focus of this study is to extract the volume-area-elevation (V-A-L) characteristics of Urmia Lake utilizing remote sensing data and analytical models. V-A-L equations of the lake were determined using radar altimetry data and their concurrent satellite-derived surface data. Next, two approximate models, a power model (PM) and a truncated pyramid model (TPM), were parameterized for Urmia Lake and...