Investigation of Climate Change in Iran

Amiri, Mohammad Javad; Eslamian, Saeid

doi:10.3923/jest.2010.208.216

Cited by 160 publications

(72 citation statements)

References 5 publications

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“…On the other hand, climate change could have a major impact on the results, since it is believed that the input parameters of the model will no longer remain stationary in the future. It is predicted that climate change will cause more severe extreme events (floods and droughts) in this region [36]. In this situation, conjunctive use should be more beneficial than conventional water management schemes.…”

Section: Uncertainty Due To Climate Variability and Climate Changementioning

confidence: 99%

A System Dynamics Model to Conserve Arid Region Water Resources through Aquifer Storage and Recovery in Conjunction with a Dam

Niazi

Prasher

Adamowski

et al. 2014

Water

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Groundwater depletion poses a significant threat in arid and semi-arid areas where rivers are usually ephemeral and groundwater is the major source of water. The present study investigated whether an effective water resources management strategy, capable of minimizing evaporative water losses and groundwater depletion while providing water for expanded agricultural activities, can be achieved through aquifer storage and recovery (ASR) implemented in conjunction with water storage in an ephemeral river. A regional development modeling framework, including both ASR and a dam design developed through system dynamics modeling, was validated using a case study for the Sirik region of Iran. The system dynamics model of groundwater flow and the comprehensive system dynamics model developed in this study showed that ASR was a beneficial strategy for the region's farmers and the groundwater system, since the rate of groundwater depletion declined significantly (from 14.5 meters per 40 years to three meters over the same period). Furthermore, evaporation from the reservoir decreased by 50 million cubic meters over the simulation period. It was concluded that the proposed OPEN ACCESSWater 2014, 6 2301 system dynamics model is an effective tool in helping to conserve water resources and reduce depletion in arid regions and semi-arid areas.

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Section: Uncertainty Due To Climate Variability and Climate Changementioning

confidence: 99%

A System Dynamics Model to Conserve Arid Region Water Resources through Aquifer Storage and Recovery in Conjunction with a Dam

Niazi

Prasher

Adamowski

et al. 2014

Water

View full text Add to dashboard Cite

show abstract

“…At the same time, it will also contribute to regional water scarcity which will impede crop production, with subsequent threats to the food security, animal husbandry, while human consumption and agriculture may compete locally for access with industrial facilities (Scheffran and Battaglini, 2011;Amiri and Eslamian, 2010). Drought is an increasingly common feature in many of the world's arid and semi-arid climate zones.…”

Section: Economic Dimensionsmentioning

confidence: 99%

Climate Change and its Implications to National Security

Rashid

Pereira

Begum

et al. 2011

American Journal of Environmental Sciences

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Problem statement: Climate change is increasingly one of the most serious national security threats which will have significant impacts on natural and coastal resources, ecosystem, human health and settlements, thereby affecting human wellbeing. At the same time, it is likely to influence of large scale human migration, economic and social depression over scarce natural resources and political systems necessary involve an even higher degree of uncertainty. Crucial for action is addressing climate change threats to small island states and states that are least developed, as environmental destabilization may lead to a major economic, environmental and political crisis that may not just affect these states but the world as a whole. Approach: Literatures were identified for review through a comprehensive search by using electronic and non-electronic databases. Related published literature and documents were searched in a systematic way using a range of key words relating to climate change impacts and national security. Results: The literature review indicates that climate change undermine national security dimensions by increasing environmental degradation, resources scarcity, large scale human migration as well as damage of infrastructure. The review also indicate that climate change undermine environmental dimensions by increasing sea level rise, extreme weather events, freshwater scarcity, land degradation and pollution; undermine economic dimensions by reducing access to and the quality of natural resources and human health, in addition to undermine of political dimensions with the possibility of increased environmental refugees, severe storms and failed economics. Conclusion: Reducing climate-induced threats that contributes to national security, there will need to develop an integrated approach in local and national levels and implement sustainable adaptive strategies as well as climate security.

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“…However, there is evidence of climate change impacts on natural rangelands of Iran, such as decrease of spring water, reduction of forage production, and increase in plant diseases. In addition, it should be considered that climate change in Iran's rangeland will affect approximately 81 million various livestock that depends on rangelands to supply water and food (UNFCCC2002, Amiri et al 2010) Vegetation phenology and production in the cold and wet rangelands primarily determined by the accumulation of snowmelt. The time of snow cover indirectly controls the distribution of many plant species by enhancing the length of the growing season (Billings and Bliss 1959, May et al 1982, Paudel and Andersen 2013, Choler 2015.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatial-Temporal Variation of Land Surface Temperature, Vegetation and Snow Cover in Lar National Park of Iran

Arekhi

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Changes in land surface reflectance measured by remote sensing data can be useful in climate change studies. This study attempts to analyze the spatial-temporal extent change of vegetation greenness, Land Surface Temperature (LST), and Normalized Difference Snow Index (NDSI) in late spring at the Lar National Park of Iran using Landsat data. Vegetation indices (VIs), LST, and NDSI maps were calculated for each date (1985, 1994, 2010, and 2015). All VIs have shown an increasing trend from 1985 to 2015 which depicted increase of vegetation. Spectral reflectance of all bands is declining from 1985 to 2015 except in near-infrared (NIR) bands. High reflectance in NIR bands is due to increased vegetation greenness. The reduction was seen in the visible bands that show increased vegetation photosynthetic activity. In the short-wave infrared bands (SWIR) were observed reduced trend from 1985 to 2015 which is indicate increased vegetation. Also, in the mid-wave infrared (MWIR) bands were observed a declining trend which is the result of decreasing soil fraction from 1985 to 2015. LST has increased from 23.27 °C in 1985 to 27.45 °C in 2015. Snow patches were decreased over the study period. In conclusion, VIs and surface reflectance bands are considered the main tool to display vegetation change. Also, high VIs values showed healthy and dense vegetation. The results of our study will provide valuable information in preliminary climate change studies.

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Investigation of Climate Change in Iran

Cited by 160 publications

References 5 publications

A System Dynamics Model to Conserve Arid Region Water Resources through Aquifer Storage and Recovery in Conjunction with a Dam

A System Dynamics Model to Conserve Arid Region Water Resources through Aquifer Storage and Recovery in Conjunction with a Dam

Climate Change and its Implications to National Security

Analysis of Spatial-Temporal Variation of Land Surface Temperature, Vegetation and Snow Cover in Lar National Park of Iran

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