‏نمایش پست‌ها با برچسب water. نمایش همه پست‌ها
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The Drying of Lake Urmia and its Environmental Consequences

The drying of Iran's Lake Urmia and its environmental consequences
Why is this important?
Lake Urmia in the northwestern corner of Iran(West Azerbaijan) is one of the largest permanent hypersaline lakes in the world and the largest lake in the Middle East (1,2,3). It extends as much as 140 km from north to south and is as wide as 85 km east to west during high water periods (4). The lake was declared a Wetland of International Importance by the Ramsar Convention in 1971 and designated a UNESCO Biosphere Reserve in 1976 (5,6). The lake itself is home to a unique brine shrimp species, Artemia Urmiana, and along with the surrounding wetlands and upland habitat, it supports many species of reptiles, amphibians and mammals. Lake Urmia provides very important seasonal habitat for many species of migrating birds. Around 200 species of birds have been documented on and surrounding the lake including pelicans, egrets, ducks, and flamingos (7). The watershed of the lake is an important agricultural region with a population of around 6.4 million people; an estimated 76 million people live within a radius of 500 km (8)
The lake’s surface area has been estimated to have been as large as 6 100 km2 but since 1995 it has generally been declining (9) and was estimated from satellite data to be only 2 366 km2 in August of 2011 (Landsat data). The decline is generally blamed on a combination of drought, increased water diversion for irrigated agriculture within the lake’s watershed and mismanagement (2,9,10,1). In addition, a causeway has been built across the lake with only a 1 500 m gap for water to move between the northern and southern halves of the lake (9). It has been suggested that this has decreased circulation within the lake and altered the pattern of water chemistry; however evidence suggests that the impact of the causeway on the uniformity of water chemistry in the lake has been minimal (11,9,10,12). The unfolding ecological disaster threatens to leave much of the lake bed a salt-covered wasteland. Scientists have warned that continued decline would lead to increased salinity, collapse of the lake’s food chain and ecosystem, loss of wetland habitat, wind blown “saltstorms,” alteration of local climate and serious negative impacts on local agriculture and livelihoods as well as regional health (10,9,1,13).
Thousands of protesters took to the streets in the cities of Tabriz and Urmia in late August and early September 2011 saying that authorities have done too little to save the lake (14,15,16). Those around the lake fear a fate similar to that of the population surrounding the nearby Aral Sea, which has dried up over the past several decades. Disappearance of the Aral Sea has been an environmental disaster affecting people throughout the region with windblown salt-storms. The population surrounding Lake Urmia is much denser putting more people at risk of impact.
A Unique Lake
Lake Urmia is an endorheic or terminal lake meaning that water leaves the lake only by evaporation. As is generally the case, this leads to a saltwater body and in the case of Lake Urmia, salinity is quite high. The lake has dramatically decreased in volume over the past decade-and-a-half, further concentrating salts in the lake, raising salinity to more than 300 g/L (9) or 8 times as salty as typical seawater. Aquatic biodiversity is limited by the lake's salinity and Lake Urmia does not support any fish or mollusk species and no plants other than phytoplankton within the lake (17,18,19,12). Wetlands surrounding the lake support a variety of salt tolerant plant species (19). There is significant phytoplankton growth, with reports of some dense algae blooms occurring during years with low salinity (9). The most significant aquatic biota in the lake is a brine shrimp species, Artemia Urmiana. This macro-zooplankton species is the key link in the lake's food chain, consuming algae and in turn being consumed by several bird species including the Lake's migratory flamingo population (19). The diverse bird population of Lake Urmia and its associated wetlands was documented in a series of surveys in the 1970s which recorded an impressive list of species (7).
A Rapid Decline
Satellite altimeter data measured the lake's level in 1995 to be at its highest level of any time in the past 40 years (Figure 1) (21,4). This is in agreement with Hassanzadeh and others (2011) who state a measured water level of roughly 1 278 m above sea level for the same time. Both measures show a steady decline from that year forward with the most recent satellite altimeter data indicating a drop of approximately 7 metres between 1995 and 2011 (21). 
Because the lake is relatively shallow, this decline in water level translates to an equally dramatic decline in surface area (Figures 2 & 3). Satellite imagery extending back to the early 1960s shows the lake's area to have been somewhat smaller in 1963, growing to almost 6 000 km² in 1969, and then remaining generally stable from the late 1960s to the mid-1990s. Since peaking in the mid-1990s, surface area has generally declined quite rapidly despite regular seasonal variation and a brief expansion during a wet period in the early 2000s.
Variability of the lake prior to the early 1960s does not appear to have been widely studied, however, a generalized plot of lake levels dating back to the early 1900s shows only one brief period in 1937 where the lake declined to below 1 273 m above sea level, and then for less than one year (Figure 1) (10). The recent decline reached 1 273 m above sea level in 2008 and, based on satellite images of surface area, the trend has continued through seasonal ups and downs to where current water levels appear to be approaching 1.5 metres lower than at any time in over 100 years (21,22). 







































































Causes of the Decline
Because Lake Urmia is a terminal lake with no significant water outflow the only way water leaves the lake is by evaporation. Therefore, if the lake Declines it is either by increased evaporation or a decrease in water coming into the system. The Zarrineh Rood River is the largest of the thirteen main rivers discharging into Lake Urmia which are the source of the majority of the Lake’s water budget (18,9). Additional input comes from rainfall directly over the lake, floodwater from the immediate watershed and a very small fraction from groundwater flow (9,18).
A study modeling the relative influence of various factors on the decline of Lake Urmia found that 65 per cent of the decline was from changes in inflow caused by climate change and diversion of surface water for upstream use, with the remaining balance due to construction of dams (25%) and decreased precipitation over the lake itself (10%) (2). Several other studies also suggest that this diversion of water has been the one of the most, if not the most, significant cause of Lake Urmia’s decline with other contributing causes being reduced precipitation, warmer temperatures and groundwater abstraction (9,23,13,24). 
The average annual rainfall within the basin from 1967 to 2006 was 235 mm, with variation between about 440 mm in 1968 to less than 150 mm in 2000 (2). Annual rainfall was 40 mm less on average in the basin for the last decade of that period (1997-2006) than it had been for the first 30 years (1967-1996) (2). The arid to semi-arid climate of the basin means that agriculture is largely dependent on irrigation. The decrease in precipitation along with declining groundwater levels in this area (25,1) and a growing population of 6.5 million people within the watershed (8) will likely exert increasing pressure to continue diverting streamflow within the basin before it reaches Lake Urmia.
Serious Impacts
Reduced water volume in the lake has already concentrated the existing salts to 300 g/L or higher in many locations. Sodium chloride concentrations much over 320 g/L are believed to be fatal to the lake's brine shrimp. Optimal conditions for Artemia Urmiana appear to be at salt concentrations well under 200 g/L and as salinity rises much above this level, there is a measured negative impact on growth rate, reproduction and mortality (27,19,26). Based on in situ observations of the brine shrimp populations under varying salinities in Lake Urmia, it has been suggested that a concentration of 240 g/L or less would be required to sustain a viable population (19). 
The lake’s brine shrimp are the sole link between the primary production of the lake’s algae and the diverse migratory bird population which feeds on these shrimp (19,1,27). Because the brine shrimp occupy this crucial link in the ecosystem their demise would translate into the likely loss of many of Lake Urmia’s migratory bird populations and affect the entire ecosystem’s sustainability (19,10). Any current or future tourist trade focused on these bird populations would likely also decline dramatically.
As lake levels decline, the exposed lakebed is left with a covering of salts, primarily sodium chloride, making a great salty desert on much of the 400 km2 of lost surface area (Figure 5) (10). These salt flats will not support agriculture and inhibit growth of most natural vegetation. The salts are also susceptible to blowing and will likely create “salt-storms” like the ones that have resulted from the drying of the Aral Sea, located 1 200 km to the northeast of Lake Urmia (10). Blowing salts from the Aral Sea have been linked to vegetation-mortality in some cases or, more frequently, reduced vegetation growth, reduced crop yields, ill effects on wild and domestic animals, respiratory illness, eye problems, and throat and esophageal cancer (28). Based on the experience of the Aral Sea salt storms, it is likely that many of the tens of millions of people who live within a few hundred kilometres of the lake will be close enough to experience the impact of these salt storms (28).
Increasing water demand and decreasing water supply
Agriculture surrounding the lake relies on irrigation with groundwater and surface water supplies, which are also being pressured by increasing demand for domestic supply (2). There is considerable evidence that groundwater resources are already being exploited at rates faster than aquifer recharge in the area of the Lake Urmia watershed (25,1). Surface water flows are being diverted for use at rates which do not allow adequate inflow to Lake Urmia to maintain the lake’s current level (2,9,23,13). Water use within the Lake Urmia basin at current rates is unsustainable without loss of the lake, and the consequent environmental damage as well as damage to the surrounding population and agriculture. In very simple terms, Lake Urmia needs more water coming in – either from inside or from outside the basin - to avoid an environmental tragedy.
Possible Actions
  
















The two principal approaches to the problem are to adjust water allocation within the basin to allow an adequate environmental flow for sustaining Lake Urmia and/or to import water from outside the basin which would increase water levels and dilute salinity within the lake. 
Reducing the amount of water diverted for agriculture, domestic and industrial use, or at least curtailing the growth in these water uses, may help stop or slow the decline of Lake Urmia (2). Abbaspour and Nazaridoust (2007) have produced an estimate of inflow required to maintain the lake. They estimate that an annual volume of 3085 million cubic metres would be the ecological water requirement of Lake Urmia which would “keep the ecological functions of the lake sustainable” and allow the survival of a viable Artemia Urmiana population. Another study estimates the needed maintenance volume to be in the same range, at between 2,600 and 4,200 million cubic metres per year, but also points out that larger inflow would be required to accelerate the recovery during an initial period of several years (10). The problem with this solution is the heavy reliance of the region’s agriculture on surface flow for irrigation water. Some water could be saved through increased efficiencies and improved management (2). However, with a growing population, continuing dam and irrigation development and especially if recent trends in rainfall and temperature continue, this will likely prove to be unpopular, impractical and - on its own – an inadequate solution (10,2).
The other widely suggested solution is to divert water from elsewhere to make up for the lost water volume no longer reaching the lake. A few possible sources have been put forward including the Zab River (9), the Aras River and the Caspian Sea. Inter-basin transfer of water may be the solution which holds the most promise of rescuing Lake Urmia, due to the large volume of water that would be needed. In the case of the Caspian Sea however, the distance of the proposed transfer route is around 300 km and the cost has been estimated at around US$ 4 to 5.5 billion (10). In addition, the timeframe for completing such a project has been estimated to be around 5 years and even the most aggressive rates of transfer would take an additional year to restore lake level to what it was in 2003 (10). Finally, transfer from the Caspian Sea would require negotiated agreements with the other countries which border the sea. So far talks have been unsuccessful in reaching an accord (29). While transfers from other river basins in the region could be less time consuming and expensive the total volume of water available would be limited, and by some accounts would be inadequate (10). The relatively smaller potential volume would also mean a greater possibility that transfers could impact the source basins negatively. The Zab River Basin is located in Turkey and Iraq and would require cooperation of those two countries. The Aras River Basin is split roughly in half between Iran and Azerbaijan. News reports suggest that talks have been initiated between the two countries regarding the use of Aras water for transfer to Lake Urmia (30).
Another strategy for bringing additional water into the basin is cloud seeding – attempting to increase precipitation by dispersing substances into clouds (Golabian 2011). Some projects are “under study and operation” (2), however cloud seeding in general is controversial and its impact limited (31,32) making this a partial and uncertain solution at best.
Main findings and implications
Lake Urmia’s water level has rapidly declined since the mid-1990s after having remained relatively stable over the 30 prior years. Construction of dams and diversion of surface water for agriculture, along with reduced precipitation and warmer temperatures over the basin, and to a lesser extent reduced inflow of groundwater are generally accepted as the causes (9,2,13). Reduced water volume concentrates the salts in the lake making it too saline for the brine shrimp which – being near the bottom of the simple food chain - support the very diverse bird population for which the lake provides important habitat. The surrounding brackish wetlands with a productive and diverse plant population will also dry up under current trends and conditions. As the lake retreats from its original shoreline it leaves a layer of salt – primarily sodium chloride – which leaves the land unusable for agriculture and threatens to unleash damaging storms of wind-blown salt on the surrounding area. The lake’s increasing salinity has reached near saturation at over 300 g/L and threatens to decimate the lake’s brine shrimp population which is a key link in the ecology of the lake and surrounding wetlands. While effective integrated water management is called for by many, there are no easy answers. Water conservation within the basin might provide some relief. However, finding the volume of water needed to restore the lake, without going outside the watershed, would probably require allocating water away from important areas of irrigated agriculture. Water transfer from the Caspian Sea would be very expensive and time consuming and may come too late to avert damage to the ecosystem by the historically low water levels and high salinity that are already occurring. Diverting water from neighboring watersheds would be less costly and time consuming but also has some serious challenges. A comprehensive integrated water management plan would take all elements of the basin’s water budget into account, balancing demands for irrigation, ecosystem preservation, social and human impact and water quality as well as operating within the national and regional political realities.
Prepared at UNEP-GRID Sioux Falls by Bruce Pengra with the invaluable input of Vahid Garousi PhD, PEng.- University of Calgary, Aref Seyyed Najafi, PhD-University of Calgary and Azar Samadi-Energy Consultant, Calgary Canada
References:
1. Zarghami, M. (2011). Effective watershed management; Case study of Urmia Lake, Iran. Lake and Reservoir Management, 27(1), 87-94. doi: 10.1080/07438141.2010.541327.
2. Hassanzadeh, E., Zarghami, M., Hassanzadeh, Y. (2011). Determining the Main Factors in Declining the Urmia Lake Level by Using System Dynamics Modeling. Water Resources Management, 26(1), 129-145. doi: 10.1007/s11269-011-9909-8.
3. Karbassi, A., Bidhendi, G., Pejman, A., Bidhendi, M. (2010). Environmental impacts of desalination on the ecology of Lake Urmia. Journal of Great Lakes Research, 36(3), 419-424. doi: 10.1016/j.jglr.2010.06.004. 
4. Jalili, S., Kirchner, I., Livingstone, D., Morid, S. (2011). The influence of large-scale atmospheric circulation weather types on variations in the water level of Lake Urmia, Iran. [10.1002/joc.2422]. International Journal of Climatology, n/a-n/a.
5. Ramsar (no date). Ramsar Site List. Accessed 24 January 24, 2012 at:
http://www.unesco.org/mabdb/br/brdir/directory/biores.asp?mode=gen&code=IRA+07.
6. UNESCO (no date). UNESCO-MAB Biosphere Reserves Directory. 24 January 24, 2012 at:
http://www.unesco.org/mabdb/br/brdir/directory/biores.asp?mode=gen&code=IRA+07.
7. Scott, D. (2001). The Birds of Lake Orumiyeh and Adjacent Wetlands, Islamic Republic of Iran – Results of Surveys carried out by the Ornithology Unit of the Department of the Environment in the 1970s. Accessed 24 January 2012 at:
http://www.wetlands.org/reports/ris/2IR003_Annex.pdf.
8. SEDAC (2010). Gridded Population of the World: Future Estimates. Socioeconomic Data and Applications Center (SEDAC); collaboration with CIESIN, UN-FAO, CIAT. Accessed December 14, 2011 at: http://sedac.ciesin.columbia.edu/gpw.
9. Eimanifar, A. and Mohebbi, F. (2007). Urmia Lake (Northwest Iran): a brief review. Saline Systems, 3, 5. doi: 10.1186/1746-1448-3-5.
10. Golabian, H. (2010). Urumia Lake: Hydro-Ecological Stabilization and Permanence Macro-engineering Seawater in Unique Environments (pp. 365-397). Berlin: Springer-Verlag. doi: 10.1007/978-3-642-14779-1_18.
11. Zeinoddini, M., Tofighi, M. , Vafaee, F. (2009). Evaluation of dike-type causeway impacts on the flow and salinity regimes in Urmia Lake, Iran. Journal of Great Lakes Research, 35(1), 13-22. doi: 10.1016/j.jglr.2008.08.001.
12. Alipour, S. (2006). Hydrogeochemistry of seasonal variation of Urmia Salt Lake, Iran. Saline Systems, 2, 9. doi: 10.1186/1746-1448-2-9.
13. Hoseinpour, M., Fakheri Fard, A., Naghili, R. (2010). Death Of Urmia Lake, a Silent Disaster Investigating Causes, Results and Solutions of Urmia Lake drying. Paper presented at the 1st International Applied Geological Congress, Department of Geology, Islamic Azad University, Islamic Azad University - Mashad Branch, Iran.
14. Dehghan, S. (2011). “Iranian greens fear disaster as Lake Orumieh shrinks,” The Guardian 5 September 2011. Accessed February 8, 2012
at: http://www.guardian.co.uk/world/2011/sep/05/iran-greens-lake-orumieh-shrinks
15. Mackey, R. (2011). “Protests in Iran Over Disappearing Lake,” The Lede / NYTimes 30 August 2011. Accessed February 8, 2012 at:
http://thelede.blogs.nytimes.com/2011/08/30/protests-in-iran-over-disappearing-lake/.
16. Euronews (2011). “Dozens arrested in Iran over lake protest” 11 August 2011. Accessed February 8, 2012 at:
http://www.euronews.net/2011/08/29/dozens-arrested-in-iran-over-lake-protest/.
17. Ramsar (1997). Ramsar Information Sheet – Lake Oroomiyeh. Accessed 24 January 2012 at:
http://www.wetlands.org/reports/ris/2IR003en.pdf.
18. Ghaheri, M., Baghal-Vayjooee, M., Naziri, J. (1999). Lake Urmia, Iran: A summary review. International Journal of Salt Lake Research, 8, 19-22.
19. Abbaspour, M. and Nazaridoust, A. (2007). Determination of environmental water requirements of Lake Urmia, Iran: an ecological approach. International Journal of Environmental Studies, 64(2), 161-169. doi: 10.1080/00207230701238416.
20. Asri, Y. and Ghorbanli., M. (1997). The halophilous vegetation of the Orumieh lake salt marshes, NW. Iran. Plant Ecology, 132, 155-170.
21. PECAD (no date). USDA/FAS/OGA and NASA Global Agriculture Monitoring (GLAM) Project. Lake and reservoir surface height variations
from the USDA’s Global Reservoir and Lake (GRLM) web site at: http://www.pecad.fas.usda.gov/cropexplorer/global_reservoir/. Altimetric lake level time-series variations from the Topex/Poseidon, Jason-1, Jason-2/OSTM, and Geosat Follow-On (GFO) missions.
22. MODIS (no date). MODIS Satellite Data acquired from NASA Lance MODIS website at: http://lance-modis.eosdis.nasa.gov/cgibin/ imagery/realtime.cgi
23. Reveshty, M. and Maruyama, Y. (2010). Study of Uremia Lake Level Fluctuations and Predict Probable Changes Using Multi-Temporal Satellite Images and Ground Truth Data Period (1976-2010). Paper presented at the Map Asia 2010 and ISG 2010, Kuala Lumpur, Malaysia.
24. Ahmadi, R., Mohebbi, F., Hagigi, P., Esmailly, L., Salmanzadeh, R. (2011). Macro-invertebrates in the Wetlands ofthe Zarrineh estuary at the south of Urmia Lake. International Journal of Environmental Restoration, 5(4), 1047-1051.
25. Wada, Y., van Beek, L., van Kempen, C., Reckman, J., Vasak, S., Bierkens, M. (2010). Global depletion of groundwater resources. Geophysical Research Letters, 37(20). doi: 10.1029/2010gl044571.
26. Agh, N., van Stappen, G., Bossier, P., Sepehri, H., Lotfi, V., Razavi Rouhani, S., Sorgeloos, P. (2008). Effects of Salinity on Survival, Growth, Reproductive and Life Span Characteristics of Artemia Populations from Urmia Lake and Neighboring Lagoons. Pakistan Journal of Biological Sciences, 11(2), 164-172.
27. Dahesht Esmaeili, L., Negarestan, H., Eimanifar, A., Mohebbi, F., Ahmadi, R. (2010). The fluctuations of physicochemical factors and phytoplankton populations of Urmia Lake, Iran. Iranian Journal of Fisheries Sciences, 9(3), 368-381.
28. Micklin, P. (2007). The Aral Sea Disaster. Annual Review of Earth and Planetary Sciences, 35(1), 47-72. doi: 10.1146/annurev.earth.35.031306.140120.
29. Āqāyī, B. (2003). The law & politics of the Caspian Sea in the twenty-first century: the positions and views of Russia, Kazakhstan, Azerbaijan, Turkmenistan, with special reference to Iran. Bethesda, Md, Ibex Publishers.
30. Djafarov, T. (2011). “Water transfer of Araz River to Lake Urmia is discussed between Iran and Azerbaijan” Trend News Agency 26 December 2011. Accessed February 8, 2012 at: http://pda.trend.az/en/1973742.html.
31. Morrison, A., Siems, S., Manton, M., Nazarov, A. (2009). On the Analysis of a Cloud Seeding Dataset over Tasmania. Journal of Applied
Meteorology and Climatology, 48(6), 1267-1280. doi: 10.1175/2008jamc2068.1.
32. Levin, Z., Halfon, N., Alpert, P. (2010). Reassessment of rain enhancement experiments and operations in Israel including synoptic considerations. Atmospheric Research, 97(4), 513-525. doi: 10.1016/j.atmosres.2010.06.011.
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Lake Urmia Model - Easy Modeling

In holistic programs or studies on water (let say IWRM), one of the main topics is stakeholders’ cooperation. Cooperation is a logical voluntary activity which has been formed based on knowledge.  It means that cooperation needs information. On the other hand, in policy making processes, particularly in developing countries, decision makers are politicians whom are not experts, necessarily. In water resources development or management projects the only tangible criteria are money, and traditional economic analyses (like “B/C”,”B-C” etc.) apply for selecting a project or plan. My experience shows that this opinion causes economic evaluation on everything in a project; environmental degradation can be paid as a penalty like police tickets.
As an expert, I think that we shall change our definition and provide more knowledge and information about natural resources for decision makers and particularly our next generation. It does not mean that we have to teach them water resources courses, but we can provide them some simple and accurate knowledge to find common language. I believe that when water is a part of human rights, why shall not we provide some public knowledge, a step beyond public awareness? Imagine that everyone can model a basin and does some “what-if” scenarios. This is my idea! Maybe it is funny, but now it is applied in the energy sector. You can find many applications for iPhone or iPad to calculate your gas or electricity consumption even about drinking water glasses that you drink. Shall not we develop for water in our basin?
Well… I have started this idea from one of my favorite and actually most challenging basin in Iran. The Lake Urmia Basin is one of the main Iran’s basins. The Lake Urmia is the largest lake in the Middle East and the third largest salt lake in the world, a national park and has named in Ramsar site along other wetlands around this lake (maybe I should write “was”). Water surface elevation in the lake Urmia has been declined for around a decade and causes hyper saline water, almost due to poor water resources management. The Lake Urmia provides a horizontal fetch for wind blowing. Some stakeholders (farmers and environmental activist) doubt about salt blowing to their cities or farms, and they worry about the second “Aral Lake” in their basin.
I got results of a basin wide water resources model and then built another simple model based on the first one, and I put it in an internet page with few coding. Everyone can run this simple model and compares results, now; a logical framework for stakeholders (and government) dialogue.
I am going to study more on this issue; I called it “Easy Modeling”. This is our responsibility to clear water resources for decision makers. Their responsibilities are making a decision. They have just three alternatives, “Yes, No, Abstention”; even if they cannot understand natural resources or theories behind of natural phenomena, but we have tons of alternatives.
You can run this model from this link.
Please let me know your opinion. I am glad to know that is it as simple as I think? Is there any problem in model?
Although model is so easy (at least I think, you may find some example for running in below video.
http://youtu.be/ZzCGOXzAj84
Source : http://tinyurl.com/5ukdhhk

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Study of Lake Urmia Level Fluctuations

Study of Lake Urmia Level Fluctuations and Predict Probable Changes Using
Multi-Temporal Satellite Images and Ground Truth Data Period (1976-2010)
New Challenge about Climate Change or Human Impact


















Mohsen Ahadnejad Reveshty
Assistance Professor, Dept. of Geography, Zanjan University, Iran  
ahadnejad@gmail.com
Yoshihisa Maruyama 
Associated Professor, Chiba University, Japan 
ymaruyam@tu.chiba-u.ac.jp
Abstract : 
Lake of  Urmia is the largest saline lake inside Iran and the second saline lake in the world after 
Dead  Sea,  that  average  area  about  5000  km2  is  located  in  northwestern  South Azerbaijan (Iranian Azerbaijan) .
Urmia or (Turkish Language: اورمو, Urmu, Orumiyeh, Urmiye, Urmiya) is a city in Northwestern South Azerbaijan (Iranian Azerbaijan) and the capital of West Azerbaijan Province. The city lies on an altitude of 1,330 m above sea level on the Shahar Chaye river (City River). Urmia is the 10th populated city in iran and 2nd of Azerbaijanian Turks provinces after Tabriz. Urmia is the trade center for a fertile agricultural region where fruit (Specially Apple and Grape) and Tobacco are grown. An important town by the 9th cent. Urmia was seized by the Oghuz Turks (11th cent.), sacked by the Seljuk Turks (1184), and later occupied a number of times by the Ottoman Turks.
The name Urmia or Urmu is thought to have come from Sumerian tongue, the earliest known civilization in the world located in southern Mesopotamia. Ur was a principle Sumerian city. Urmia, situated by a lake and surrounded by rivers, would be the cradle of water. The population of Urmia is predominantly Azerbaijanian Turks (over 90%), but with Kurdish,Assyrian and Armenian minorities.
In  recent  years  this  lake 
levels  affected  natural  and  human  factors,  including  successive  droughts  in  the  region  and  the 
construction  of  dams  and  the  indiscriminate  exploitation  of  water  resources  in  the  Basin .The  Lake 
surface changes that severe fluctuations from 5278 km2 in 1976 has been reached to about 3107.7 km2 in
2009 . 
In this paper, using multi-temporal satellite images, including MODIS, ETM+, TM, MSS images,
fluctuations  assessment in Urmia Lake in 1976-2009 with using the 18 image series in August and also 
using ground truth data methods from water level Lake of  Urmia has been studied. 
In  order  to  probable predict  changes  in  the  lake  in  the  coming  years  with  regard  to  continuous 
fluctuations  occurred  at  this  stage,  Markov  chain  and  cellular  automata  methods were  used .Based  on
results probable survival value for the lake in next ten years has been estimated about 64 percent .Also for
evaluation  of  role  each  of  the  natural  factors,  including  climate  change  and  human  impact  as  major 
challenges discussed in this paper was investigated. 
Key word: Urmia Lake, Fluctuations, GIS, Satellite imagery, Markov Chain



















Introduction
Features and phenomena in the Earth's surface were changed due to over time, the lakes as 
one  of  these  phenomena  and  due  to  having  a  closed  environment is  not  exception  and  due  to 
climatic  changes  such  as  reduced  rainfall  and  increased  temperature  and  uncontrolled  use  
of  surface  water  resources  in  watershed  areas  in  agriculture,  industrial  and  drinking  ever  level 
they  are  exposed  to  change .Supervision  and  monitoring  changes  in  these  lakes  should  be 
considered as  important  in  the  national  and  regional  development  and  natural  resource 
management .Currently  monitoring  the  coastal  areas  and  extraction  of  water  level  changes  at 
different intervals is an infrastructure research of interest because the coastal zone management 
and  dynamic  nature  of  such  sensitive  ecological  environments  need  to  accurate  information 
about  the  various  intervals(Rasoli,2007).  Among  the  remote  sensing  data  are  considered  as 
useful tools for the continuously monitoring and sequentially compared with traditional methods .
With  regard  to  temporal  resolution  from  half  days  to  one  month,  and  spatial  resolution  of  less 
than  one  meter  to  several  kilometers  and  multi-spectral  resolution  of  this  data  and  applying 
mathematical and statistical methods to detection of changes, the satellite image has become as a 
valuable  resource  for  earth  sciences  specialist for  studying  earth  surface  and  its  changing
(Ahadnejad, 2010)
In  the  field  of  application  satellite  images  to  monitoring  of  lakes  and  lagoon  surface
changes much research that is most important, they note : 
Ahadnejad  et  al(2010),  in  paper  entitled  “Detecting  and  Environmental  Assessment 
of Spatial Changes of Hamun-E-Saberi Lagoon Using Satellite Imagery and GIS studied these 
lagoon in the period of 1976-2008 using LANDSAT and MODIS satellite images and analyzes 
them with utilizing the Normalized Difference Water Index (NDWI) during the August months, 
to assess and evaluate its spatial variations .Al Sheikh et al (2007), in article entitled "coastline 
change  detection  using  remote  sensing "study  changes  in  coastline  Urmia  Lake  during  1989, 
1998  and  2001  and  paid  to  utilizing  Landsat  satellite  images  and  processing  them  Coastline 
change  detection  is  about  Urmia  Lake .Ma  and  Wan  (2007),"change  in  area  of  Ebinur  Lake 
during the 1998-2005", they used indicators such as NDWI for detection of water level changes 
in  this  lake .Rasoli  et  al (2007),  in  paper  “monitoring  of  Urmia  Lake  Water  level  fluctuations 
using  multi-temporal  satellite  images  processing .Qulin  TAN  et  al  (2004),  in  paper  entitled "
measuring  Lake  water  level  using  multi-source  remote  sensing  combined  with  hydrological 
statistical data for changing Poyang Lake in China and etc. 
In  this  paper  using  multi-temporal  satellite  images  such  as  MSS,  TM,  MODIS  data  and 
using Normalized Difference Water Index (NDWI), firstly occurred changes detected in Urmia 
Lake  and  then  using  data  such  as  water  level  measured  in  ground  stations  and  the  amount  of 
rainfall and water input to the lake to the trend of modeling with integrated remote sensing data 
and  ground  truth  data  and  ultimately  Urmia  Lake  drying  reasons  will  be  discussed  in  recent 
years. 
Study Area 
Urmia  Lake  as  the  largest  water  body  in  Iranian  plateau  is  located  between  two  major 
provinces of East Azerbaijan and west Azerbaijan .The lake is bounded between 37°5´ -38°16´
latitudes  and  45°01´ -46°  longitudes  at  1275  m  above  sea  level .Its  surface  area  ranges  from  
4750  to  6100  km2  and  the  average  and  greatest  depths  account  for  6  and  16  m,  respectively
(Azari Takami, 1993) .More than 20 permanent and seasonal rivers as well as a few submarine 
streams  and  springs  feed  the  lake .Average  salinity  of  the  lake  ranges  between  220-300 mg/lit
depending  upon  temporal  and  spatial  conditions, in  recently  years  it  arrived  more  than  380 
mg/lit. Due to the ecological heritage of Urmia Lake it is recorded as a protected habitat in the 
world by the United Nations. 
Material and methods 
-Material 
The  data  used  in  this  paper  refer  to  August  month  that  acquired  from  Landsat  and  Terra 
satellite sensors data. Table and figure 1 shows characteristic of data used in this paper.  
Table1 :The characteristic of data used in this paper 












Also  in  this  paper  ground  truth  data  such  as  daily  water  level  data  that  measured  in  during  
1976-2009 by east and west Azerbaijan water organizations in ground station at Sharaf khaneh 
and  Golmankhaneh  ports .Statistics  related  to  rainfall  and  water  volume  input  to  the  lake  are 
other data that used in this paper .Table 2 shows summarized data used in this article.  
Table 2 :The summarized ground truth data form Urmia Lake 












Fig1: Satellite image of Lake Urmia in during 1976 - 2009 



















Methods 
-Image processing : 
There  are  many  methods  for  detecting  of  changes  with  using  satellite  images  such  as 
subtraction  images,  and  ratio  and  difference  method,  supervised  classification,  vector  change 
analysis (VCA), indices and normalized difference ...mentioned. 
For  detecting  of  occurred  changes  in  this  study  satellite  images  of  the  area  and  available 
resources, including U.S .Geological Survey were collected .After the initial corrections such as 
geometric and radiometric correction changes detection of water level changes has been applied . 
Since  the  separation  of  water  bodies  on  satellite  imagery  is  done  carefully  and  high 
accuracy in compared with other phenomena in the earth surface .In this paper for separation and
detection of water from other phenomena, normalized difference water index were used .In this 
index  by  using  near  and  middle  infrared  bands  in  the  TM  and  ETM  sensors,  green  and  near 
infrared  bands  in   MSS  sensor  and  middle  infrared  and  short  wave  in  MODIS  sensor  and 
applying ratio and difference method water bodies has been separated from other phenomena's in
case study area .The equation number 1 to 3 show normalized difference water index for satellite
data are used in this paper. 








Based  on  normalized  difference  water  index  images  produced  by  this  index  value  for  water 
levels  towards  desire  to +1  value  and  for  other  surface  without  water  towards  desire -1  value.
Fig 2 shows images resulting from applying this index for Urmia Lake. 
- Trend Analaysis  
The other object of this paper is to predict the trend of land use changes in the future .Many
methods can be applied  to  predict  the  trend .In  this  paper,  two methods are  used.  Fig3  shows 
trend change map of Urmia Lake in during 1976-2009. 
(1) Markov chain 
The  Markov  chain  method  analyzes  a  pair  of  water  classification  images  and  outputs  a 
transition probability matrix, a transition area matrix, and a set of conditional probability images .
The transition probability matrix shows the probability that one class will change to the others .
The transition area matrix tells the number of pixels that are expected to change from one class 
to the others over the specified period . 
The conditional probability images illustrate the probability that each class type would be
found after a specific time passes. These images are calculated as projections from the two input 
land  cover  images .The  output  conditional  probability  images  can  be  used  as  direct  input  for 
specification of the prior probabilities in Maximum Likelihood Classification of remotely sensed 
imagery (such  as  with  the  MAXLIKE  and  BAYCLASS  modules) .A  raster  group  file  is  also 
created listing all the conditional probability images . 
In this study, a series of image processing was performed to predict the trend of Urmia
Lake change in 2019 . 



















Fig2 :Images resulted from NDWI reclassify for separated land from water (1976-2009)  
(2) Combination of Cellular Automata and Markov Chain 
To  know  the  changes  that  have  occurred  in  the  past  may  help  to predict  future  changes .
Combination of Cellular Automata and Markov Chain is often employed to predict Urmia Lake
change estimation . 
In order  to  predict  the  trends of  Lake Changes, first  1976  and  2009 Lake  Map was 
analyzed with Markov Chain .Then, combined method of Cellular Automata and Markov Chain 
was  used  for  forecasting  land  use  change  in  2019 .According  to  the results Urmia  Lake areas
decrease  from 3107.78  Km2  in  2009  to 2095.44 km2  in  2019.  Fig4  shows  predicted  map 
of Urmia Lake in 2019 . 
The results of satellite images processing show that most changes occurred in the southern 
and eastern part of lake that indicates the water depth is low in these areas compared with other 
areas of the lake .The lowest lake retreat occurred in the north and northwest of lake. However
high the river water from flowing into the area to the lake but not much depth of water in these 
areas has caused a retreat in this section are vertically regions and less in these regions compared
with southern parts of East coverts to salty land . 
Notable  in  recent  years  especially  in  2008  and  2009  connecting  the  Aspire  and  Ashk 
islands in the middle part of Urmia Lake has caused this intensification and increasing areas of 
salt  in  this  area .The  resulting  map  method  based  on  Markov  chain  and  the  Cellular  Automata  
with the likely trend of the islands of the East Lake are connected to the land where the eastern
and  southern  areas  of  the  lake  completely  dry  and  this  can   be  associated  irreparable 
environmental effects.  




















Change trends analysis using ground truth data and image processing 
Based  on  existing  data  in  Table  2  can  be  realized  that Urmia  Lake long-term  average 
water level in the periods 1976-1998 about 1276.042 m above sea level, except in 1998 than the 
long-term  average  of  about  0.365  m  high  in  the  rest  of  the  years.  From  1999  to  2009  the  lake 
water level has fallen and garlic to the long-term average of about 4.898 meters has decreased. 
Based  on  the  predictions  done  based  on  time  series  method  if  this  trend  continues  to  be  in  the 
lake water level in 2019 decreased to 1267 meters and this will mean that the level of the lake 
with an average long-term reduction of about 9 m. Figure 5 shows graphs of Urmia Lake water 
level trend. 
Reducing  the  lake  water  level  will  be  reduced  lake  area.  Especially  in  the  southern  half  and 
eastern  parts  of  the  lake  that  available  evidence  shows  to  be  shallow  in  these  areas  than  the 
northern half of the lake. According to the results obtained from satellite image processing in the 
long term average lake area of about 5277 sq. km area is that from 1999 to 2009 had reduced the 
garlic  so  the  lake  area  in  2009  reached  approximately  3107  sq.  km  with  average  long-term
reduction of about 2119 sq. km. Based on the analysis carried out using the Markov chains and 
Cellular  Automata  analysis  and  time  series  until  2019  this  trend  with  regard  to  the  lake  area 
decreased by approximately 2000 square kilometers. Figure 4 shows predicted changes in 2019
and  also  figure 6  show  trend  graphs  area  of  Urmia  Lake  also  figure  7  shows  comparison 
between water level and area in Urmia Lake.   































Fig7: The comparison plot between Water Level and Area (KM2)     
The main Factors in reducing of Urmia Lake water level  
Data  of  rainfall  in  Table  2  shows  that  the  long-term  average  rainfall  in  the  Basin  of 
Urmia Lake is about 281 mm. During 1998 to 2001 for three consecutive years the amount of 
rainfall markedly decreased in the years 1998-1999 and reaches about 165 mm. this decreasing 
in  rainfall  is  starting  point  in Lake  water  level  reductions.  Because  of  concern  that  has  caused 
droughts in dams  after  this  year  will  be  built or existing  dams  will  be save  water. During  after 
2001  significantly  on  the  amount  of  rainfall  in  Urmia  Lake  basin  been  increased and  many 
long-term average of these years has been even higher. Then with consider to statistics such as 
rainfall,  climate  change  has  been  not  considered  only  factor  in  Urmia  lake  water  level 
reductions. But also uncontrolled use of water resources in the basin has led in recent years; the
lake  water  level  was  decline. Finally,  we  can  say  that  the  role  of  human  factors  and  impacts  
is more than natural factors in the destruction of lake. 
Conclusion  
The results of this paper shows that human effects and uncontrolled exploitation of water 
resources  has  caused  the  water  level  of  the  Urmia  Lake  suffered  a  sharp  drop  during  the  last 
decade  so  that  this  period   approximately  5  meters   reduced  lake  water  and  lake  area  of  5200 
square  kilometers  in  1998  reduced to  about  3107  square  kilometers  in  2009.  According  to 
analysis conducted in this paper include the use of  Markov Chains, Cellular Automata and time 
series if this trend continues, lake area in 2019  will be reduced to about 2000 sq. km. The issue 
that  caused  irreparable  environmental  effects  of  increased  salt  in  the  region,  the  loss  of 
agricultural  lands  adjacent  to  the  lake  of  salt  transport  by  the  winds  and  thus  cause  large 
economic losses will be happen in this region. on other hand reduce the water level increases the 
amount  of  saturated  salt  water  will  face  that  the  amount  currently  reached  380  mg/lit,  causing
destruction of the only existing live Artemia in the lake that as food for migratory birds. 
Also in this article the role and importance of remote sensing data and processing them 
for  purposes  such  as  monitoring  and  continuous  monitoring,  even  during  the  days,  weeks  or 
months can be considered the traditional methods no such ability and speed to act and sometimes
due to natural and human problem is not possible quickly data collecting. References
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