Showing 48 results for Water
Mr Jaefar Derakhshi, Dr Behroz Sobhani, Dr Saeed Jahanbakhsh,
Volume 24, Issue 72 (3-2024)
Abstract
In this study, the prediction of precipitation and temperature values using the general atmospheric circulation models during 1964-2005 is investigated. Climatic data including daily values of total precipitation and mean temperature were obtained from the Iranian Meteorological Organization. Considering the climate change scenarios RCP4.5, RCP2.6 and RCP8.5 for the coming period 2010-2100 were evaluated under the canESM2 climate change model of Aharchai Basin. Due to the low accuracy of the general circulation models, the SDSM4.2 miniaturization model was used and the changes in precipitation and mean temperature parameters were simulated for future time periods. In this study, to calibrate the SDSM model, among the 26 large scale climate parameters (NCEP), on average, 3 parameters have the highest correlation with the mean temperature and 5 parameters have the highest correlation with the average precipitation in the Aharchai Basin. The results of climatic parameters prediction showed that simulation of climatic parameters mean temperature was performed with higher accuracy than mean precipitation values. The reason is that the precipitation data are not normal and unconditional. The results show that the basin temperature averaged more during the period 2070-2099 under the scenario RCP8.5 than the observations period of 1964-2005 and the basin precipitation during the period 2070-2099 under the scenario RCP2.6 showed the highest increase in the entire study period.
Dr Mohammad Ebrahim Afifi,
Volume 24, Issue 75 (12-2024)
Abstract
Among the natural hazards, without a doubt, the flood is known as a natural disaster. In this research, Shannon entropy model was used to prepare a flood sensitivity map. First, 34 flood watersheds were selected from Firoozabad basin, and then these 34 points were classified into two groups. With 22 points, 65 percent of the points for training and modeling, and 12 points, 35 percent of the locations that were not used in modeling were used for validation. First, a map of the status of the floods was developed and Then, 10 factors, slope, tilt, lithology, land use, NDVI, SPI, TWI, altitudes, rainfall and distances from the river were selected as flood factors in Firoozabad basin. Prioritizing the effective factors in the occurrence of flood by Shannon entropy index showed that the NDVI layers (2.03), rainfall (0.00), distance from the river (1.89), SPI (385.1), elevation classes (999 (0/19), gradient with weight (0,932), lithology (478/0), TWI (379/0), and land use (280/0), respectively (0/184) have the highest and the least impact Flood events. Based on the results of the ROC curve, the predicted surface area under the curve with 35% of the validation data is equal (91.42%) and for the success rate with 65% of the equal education data (92.53%).
Mrs Khadije Khatiri, Mrs Iran Ghazi, Mr Nemat Hasani,
Volume 24, Issue 75 (12-2024)
Abstract
Natural disasters cause severe financial and human damage. Crisis management means purposefully shifting the flow of affairs in a controllable manner with the intention of returning things to pre-crisis conditions as soon as possible. Therefore, the main purpose of this article is to present a model of social capital development in urban water crisis management.The study method is descriptive-survey. In order to collect information, interviews and questionnaires were used and for data analysis, SPSS software, AHP analysis method, regression and T were used. Statistical community including crisis and water crisis managers; Also, all residents of Karaj were in the period between 1396 and 1395, which was estimated as a statistical sample of 350 people using Cochran's table.The results of statistical analysis showed that from the perspective of statistical sample individuals, the amount of social capital was lower than the desired level. Also, the relationship between social capital indicators was significant. Also, the results of couple comparison of main criteria using AHP analysis prioritized the indicators of social trust with 0.433 coefficient, incentive policy criterion and change in attitude space with 0.355 coefficient, criterion The interactive and value infrastructure of the society with a coefficient of 0.277, the interaction with a coefficient of 0.203, and finally the criterion of non-alienation with the government with a coefficient of 0.199 showed the fifth priority.The study shows that countries' ability to deal with crises has a lot to do with crisis management policy, promoting social capital in society and developing a spirit of cooperation and motivating participation among the people is one of the important solutions.
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Mohammadsaleh Ekhlasi, Dr. Somayeh Soltani-Gerdefaramarzi, Dr. Abolfazl Azizian, Morteza Gheysouri,
Volume 25, Issue 76 (3-2025)
Abstract
In this study, we examined the impact of climate change on the virtual water content of key crops in Kerman province for future periods. Specifically, we utilized the climatic data from the HadCM3 model under the RCP4.5 radiative forcing scenario. The model was calibrated and validated for the base period of 1991-2011. We predicted the precipitation levels, as well as the maximum and minimum temperatures, for selected stations from 2011 to 2070 using data from LARS-WG. These predictions were then compared to the base period. The virtual water content was calculated for three selected crops: alfalfa, barley, and wheat. Our findings indicate that climate change has a significant impact on evapotranspiration and the performance of these crops, consequently affecting future agricultural water productivity. As we project an increase in average temperature during the growing season due to climate change, it is worth noting that the maximum temperature parameter will be more affected by this phenomenon than the minimum temperature. This, in turn, will lead to increased water requirements and plant evaporation-transpiration during this period. Our research also reveals a decrease in precipitation during hot seasons and an increase during cold seasons across all study stations. Notably, the virtual water content for all crops studied demonstrates an upward trend, with barley and wheat showing the greatest average increase in the future period. Specifically, the Kerman station exhibits a substantial increase in virtual water content for barley and alfalfa products, at a minimum of 30% higher than the base period.
Miss Rana Norouzi, Mr Sayyd Morovat Eftekhari, Mr Ali Ahmadabadi, Miss Khadijeh Alinoori,
Volume 25, Issue 78 (9-2025)
Abstract
In recent decades, land subsidence has emerged as a significant geomorphological hazard and environmental crisis, resulting in extensive and often irreversible damage to the plains of Iran. The primary driver of this phenomenon is the ongoing water crisis. The Eshtehard Plain, a vital industrial and agricultural hub in Alborz Province, has been classified as a critical prohibited zone by the Ministry of Energy due to the severe decline in groundwater levels. Consequently, assessing the rate of subsidence and identifying its causes and influencing factors are essential for effective risk management. This study employed the Differential Radar Interferometry (D-InSAR) technique to analyze subsidence in the Eshtehard Plain, utilizing data from the Sentinel-1A satellite spanning the years 2017 to 2023. During this period, subsidence in the region ranged from -2.08 cm to -2.93 cm. The highest subsidence rate, approximately -2.93 cm, occurred between 2019 and 2020, while the lowest, approximately -2.08 cm, was observed between 2022 and 2023. Notably, subsidence rates exhibited an increasing trend from east to west and in the southern expanse of the plain. The maximum subsidence observed throughout all study periods was concentrated in the Eshtehard aquifer area, which encompasses a significant portion of farmland, villages, the city of Eshtehard, industrial towns (Kosar, Omid, and Eshtehard), agricultural lands, and the highest density of groundwater extraction wells. Hydrographic analysis and interpolation of piezometric well data further revealed a consistent decline in groundwater levels and an increase in water table depth in this area. Moreover, the correlation between land subsidence and changes in groundwater depth was statistically significant at the 95% confidence level, indicating that subsidence intensifies as groundwater levels decrease. The subsidence change profiles suggest a complex subsidence pattern within the study area, influenced by a combination of factors, including human activities (such as the intensity and type of land use, as well as excessive groundwater extraction), environmental conditions, geological characteristics (e.g., sediment composition, aquifer thickness, and bedrock position), and the rates of aquifer recharge and discharge. These findings underscore the urgent need for sustainable groundwater management and mitigation strategies to address the escalating subsidence crisis in the Eshtehard Plain.
Mahrookh Ghazayi, Nazfar Aghazadeh, Ehsan Ghaleh, Elhameh Ebaddyy,
Volume 25, Issue 79 (12-2025)
Abstract
The depletion of surface water resources has necessitated uncontrolled groundwater abstraction in various regions worldwide, resulting in substantial reductions in groundwater table levels. As populations continue to expand, the extraction of these essential resources has intensified, posing a significant threat to natural reserves. This study aims to monitor groundwater levels through the analysis of satellite imagery and to investigate the correlation between these levels and land use patterns. To accomplish this objective, relevant satellite images were acquired and subjected to appropriate pre-processing. An object-oriented methodology was employed to generate land use classification maps for two distinct years, alongside a land use change map covering a fifteen-year period from 2000 to 2015. Moreover, groundwater level maps for the study area were produced for both years utilizing the Gaussian method, recognized as the most accurate approach. The findings indicate a robust and significant relationship between land use and groundwater levels, revealing that areas with higher vegetation exhibit lower groundwater levels compared to other regions. This phenomenon can be attributed to the hydrological dynamics that facilitate the movement of water from higher potential zones to these areas. Additionally, irrigated agricultural practices demonstrated the most pronounced average decline in water levels relative to other land uses, underscoring the excessive reliance on groundwater for irrigation in the study area. The results further illustrate that the conventional kriging method with Gaussian variance surpasses other techniques in estimating groundwater table depths across both statistical periods. Analysis through conventional kriging reveals a general decline in groundwater levels throughout the majority of the plain during the study period, with a maximum decrease of 40 meters and an average reduction of 15 meters.
Kiomars Khodapanah, Arasto Yari,
Volume 25, Issue 79 (12-2025)
Abstract
Water resource management, during the development of its conditions and scope, is subject to various dimensions and constraints. Therefore, identifying the contributing factors for sustainable water resource management is essential for optimizing its use. This research focuses on the central rural areas of Ardabil County, examining farmers' perspectives on the factors influencing the management of sustainable water resources (including Sharif Baigloo, Hakim Gheshlaghi, Sham Asbi, Vakil Abad, Omidche, Pirghavam, Aghbalagh Rostamkhani, Gharelor, and Gilandeh). This study employs a descriptive-analytic approach with an applied focus and utilizes quantitative methods. The statistical population consists of heads of farming households in the central region of Ardabil County. Seven dimensions were considered, encompassing 72 components, with a calculated sample size of 349 participants. The sample distribution across the villages was conducted randomly and proportionally to the size of farming household heads in each village. Smart PLS software was utilized for analysis. The initial assessment of the measurement model demonstrated a good fit, with 68 components exhibiting impacts above the factor of 0.5. The results of the structural model indicated significant structural relationships between sustainable management and economic, social, productivity, technical, educational, and institutional factors. Furthermore, the coefficient of determination (R²) exceeded the threshold of 0.26 for all dimensions, indicating strong relationships. Specifically, the lowest R² for the economic dimension was 0.299, while the highest value for the productivity dimension was 0.511. These findings suggest that revising perspectives on agricultural water management, with a shift towards an integrative, participatory approach focused on optimal management while considering economic, social, technical, educational, and other relevant dimensions, is crucial for achieving sustainable water resource management.
Dr. Vahab Amiri, Dr. Nassim Sohrabi, Dr. Seyed Mohammadali Moosavizadeh,
Volume 26, Issue 80 (3-2026)
Abstract
This study investigates the impact of natural and anthropogenic factors on the physicochemical composition of groundwater in the Qazvin aquifer. Based on the optimized Gibbs diagram, the concentration of samples at the end of the freshwater interaction path with silicate units results from geochemical evolution due to the dissolution of these geological units and an increase in the Na/(Na+Ca) ratio. The ion exchange mechanism was assessed using bivariate diagrams of Ca+Mg vs. SO4+HCO3 and Schoeller's chloro-alkaline indices CAI-1 and CAI-2. The results indicate that in 68% of the samples, direct ion exchange, and in 32%, reverse ion exchange control the groundwater chemistry. The changes in Ca vs. SO4 indicate that gypsum dissolution alone is not the source of these ions. These changes could be due to ion mobility and transport during pedogenic processes (sulfur biogeochemical cycle) and anthropogenic factors. The study also examined the role of factors such as agricultural input, atmospheric input, soil nitrogen, sewage input, manure input, chemical fertilizers, and the denitrification process in groundwater pollution using NO3/Na vs. Cl/Na and the NO3/Cl vs. Cl diagrams. The results reveal that agricultural and sewage inputs significantly impact the NO3 and Cl content. Furthermore, in some locations, especially in the southeast of the aquifer, the denitrification process causes a decrease in NO3 concentration. These findings can contribute to effective water resource management in this strategic aquifer by understanding the controlling mechanisms of physicochemical composition and identifying potential groundwater pollution sources.
