نشریه هیدروژیومورفولوژی
پیاپی 8 (پاییز 1395)

Groundwater is considered as an important part of renewable waters of the world. With the increasing population, urbanization trend, etc., the demand for these resources, day by day is increasing. Nowadays, remote sensing and geographic information system (GIS) has become one of the most powerful and affordable tools for assessing and exploration of accessible groundwater resources. The purpose of this study is to identify potential areas of groundwater in the Mahdishahr area located in Semnan using Analytical Hierarchy Process (AHP), remote sensing, and GIS. The parameters which are considered to identify the areas of potential groundwater are: lithological units, lineaments, slope, topography, drainage density, vegetation, and isoheytal maps which prepared by using the 1:50000 scale topographic maps, digital elevation model, ETM satellite images, 1:250000 scale geological map, and precipitation data of meteorology stations by remote sensing and GIS techniques. To determine potential areas of groundwater, all layers in different classes were weighted through hierarchical analysis and after modeling in the GIS medium, Mahdishahr basin was subdivided in the groundwater potential point of view. The results showed that among the 7 examined criteria determined by the expertise and analytic hierarchy process method, the geology and lineaments have relative importance of 0.33 and 0.22 respectively as the highest priority in groundwater potential determination in this area. Quaternary alluviums including old and new terraces and alluvial deposits have the highest relative importance and desirability in the study area. Terrace storages and old elevated and recent low elevation alluvial fans are as fair potential groundwater area.

Bostan Abad plain is located in East Azerbaijan province, North West of Iran. Groundwater resources of the plain supply significant portion of the drinking and agricultural water demands of the area, as a result, protection of these resources from contamination is an important task. Therefore, for assessing of the aquifer vulnerability, DRASTIC and SINTACS models were used in GIS software setting. The plain vulnerability maps for each model, according to data layers including depth of water table, net recharge rate, aquifer media, soil media, topography, VA-dose zone media and hydraulic conductivity were prepared. The final map of aquifer vulnerability with five zone of vulnerability from very low to high is produced. DRASTIC and SINTACS index were calculated from 61 to188 and 92 to 202 respectively. The sensitivity analysis was determined by a single parameter that the vadose zone media has the most significant impact on the vulnerability index. The distribution of nitrate ions concentrations were used for the models verification. The adaptation nitrate layer and zoning map of vulnerability for both models showed that the areas with high concentration of nitrates are coincided with high potential vulnerability areas. The correlation coefficient of 0.75 between DRASTIC model and nitrate layer were obtained. For preparing the contamination risk map of groundwater, the land use layer was overlapped to DRASTIC vulnerability map. The results of overlapping maps showed that 31.33 percent of the total area of land used for agriculture is high potential vulnerable area. According to the final maps of vulnerability for both models the central and northwestern parts of the plain contains the highest contamination potential in the area.

Rainfall is counted as the main entrance in hydrologic modeling. Efficient network of the rain gauge stations are the ones having an appropriate density and favorable estimations of rainfall in locations without any station. In order to optimize the position of the rain gauge stations, different methods have been proposed, among which the geo-statistical methods are widely used. The present study aimed to assess the status of the rain gauge stations of Kordestan Province, and to optimize their position based on geo statistical methods. In this study, in order to evaluate the accuracy of various interpolation methods, the Ordinary Kriging method with circular function was detected to be more credible compared to other models and that it was the most suitable interpolation method in the distribution of rainfall in the province. Furthermore, in order to optimize and estimate the errors of the current stations, the precipitation data from 145 meteorological stations were used, and given the sheer size of the study area and great changes to rainfall data, area segmentation or clustering of the stations was done, and the whole area was divided into 8 clusters. The results of the optimization based on the Kriging coefficient of variation indicated that, by the addition of new 17 proposed stations to the rain gauge network in the province, the values ​​of spatial coefficient of variation of annual rainfall has decreased between 0.21 to 6.67 percent, and close to 12% from the central to the south, and in western areas, respectively. The results of this study have a great importance on the use of geo-statistical methods in optimization, and the generated maps are of high practical value for the executive agencies (Ministry of Energy, the National Weather Service, etc.).

Accurate prediction of droughts in arid and semi-arid countries, like Iran, have important role in water resources management and designing appropriate plans for coping with drought consequences. Since the standardized precipitation index (SPI) is known as a suitable index for drought analysis, in this study, we used the M5 rule tree model for forecasting SPI values. For this purpose, the monthly precipitation data of Maragheh synoptic station were used during a 25-year period for calculating SPI values at 6-month time scale (SPI-6). The results indicated that the Maragheh region was faced with successive and severe droughts in recent two decays. In the next step, the SPI-6 values were forecasted for next 1 to 12 months using M5 rule tree model. The results showed that the SPI-6 values in previous time steps had the most effect on forecasting the next SPI-6 values, and the forecasting accuracy decreases with increasing prediction length. So the correlation coefficient of forecasting SPI-6 for next month was obtained 0.94 which this value was decreased to about 0.40 for forecasting SPI-6 for next 12 months. However, the M5 rule tree model provides more understandable, applicable and simple linear relation in forecasting droughts and shows relatively good performance and accuracy.

Landslide is one of the morphodynamic processes including significant hazards in terms of fatalities, financial casualties and the number of happening. In this research, Zoning of potential landslide occurrence is studied in Heyran Defile region. To do this the combination of multi-criteria (Analytical Network Process) and statistically (Baye's theorem) models and accompanied by 12 natural and human parameters including, Slope, aspect, land use, lithology, precipitation, vegetation density index (NDVI), slope length (LS), topographic wetness index (TWI), stream power index (SPI), distance to road, distance to fault and distance to river were used. The layer of occurred landslides in the study area have been used to the obtaining weight of each landslide susceptibility parameters classes and validation of the final map which seventy percent of the landslide for running the model and another 30 percent is used to the model validation. The result is a map classified in five categories that respectively to be included Zones with very low, Low, Moderate, High and very High potential. According to the result map 26.3 percent of the area case study has been predicted as a region with high and very high potential for the landslide occurrence. These areas primarily to be included marginal areas of the Ardebil- Astara road. Most landslides also occurred in these areas because of the high construction in bordering the road, disrupt the natural slope of the land for the road construction and broaden it. Land use in these areas is mainly sparse forest, rangelands and agriculture which is located on the slopes. Evaluation of zoning map was done using 30 percent of the occurred landslide. According to the results of this evaluation and placement of a considerable percentage of landslides in the high and very high sensitivity classes (77.6 %), it can be concluded that the accuracy of used models in the landslides susceptibility zoning is acceptable.

Land surface temperature estimated to cater to the wide range of remote sensing, lack of monitoring and limited meteorological stations. With regard to the monitoring of land surface temperature in a limited number of weather stations as part of the need for broad distribution across the surface temperature at the same time, land surface temperature was calculated. Parishan lake because of the proximity to the metropolis of Shiraz shows the temperature and humidity play an important moderating role in this city. Drought in recent decades and the subsequent reduction in the water level of the lake has had adverse effects on the surrounding areas, especially in Shiraz temperature and humidity. The purpose of this research is to estimate land surface temperature using SEBAL (SEBAL) (modified surface energy algorithm for land) in Parishan Basin and relationship with land use / cover (LULC). For this purpose, use ETM images from 2000 and 2013 and after the various stages processing of image to extract the land use plans based on support vector machine (SVM) was developed during a period of 13 years. By applying SEBAL algorithm on satellite images was prepared heat map. For this purpose implement this method, was calculated the thermal radiance corrected (Rc), the emissivity of the surface of the thermal band (ε), spectral radiance (Lλ), the reflectance of each band (ρλ) and surface albedo (α). The results of this study showed the most of that land use changes in the use of the lake there is about was destroyed 35/97% of the lakes in the course of 13 years and much of it have land use changes uncultivated land and agricultural. In addition, increased desertification and loss of vegetation, it affects increasing land surface temperature (LST). The highest temperature (LST) is evident in the salt marsh and bare rock outcrops are considerable with the passing years and the increasing temperature. The results have been applied in the study of natural resources protection and can be helpful natural resource conservation programs.

Investigation of groundwater plays an important role in sustainable management of water resources in each region. The aim of this research was to study the variation of groundwater in 16 piezometric stations at the Tuisarkan Plain, for the period of 1372-1391. To reach the purpose, the at-site trends were detected using the modified Mann-Kendall test and the Sen’s Slope Estimator method; and the regional trend was identified employing the Regional Average Modified Mann-Kendall bootstrap approach. Since the Mann-Kendall test is sensitive to autocorrelation of data, before applying the Mann-Kendall test, the autocorrelation of data was checked applying the Lag-1 serial correlation method. Then the Modified Mann-Kendall test was used on the autocorrelated data. The findings at-site scale showed that, on annual scale, the Sarabi station experienced the most upward trend using both methods, while Chashkoran station and Ghalehno station experienced the lowest downward trends applying the Modified Mann-Kendall test and Sen’s Slope Estimator, respectively. Analysis of regionally trends shows decreasing in the ground water level of the plain. According to the obtained results from the present research, the changes trend of the region ground water level is negative. If the exploitation from ground water resources continues in the present from, social and economic crisis can be formed. According to the results of this research, it is necessary to control the ground water exploitation and ground water level will be increased by increasing agricultural water efficiency and artificial recharge.

River bank erosion is one of the major sources of sediment for many rivers around the world. The aim of this study was to identify erodible riches in Bashar river because the role of this river's in development of Kohgiluyeh and Boyerahmad province. In this study, using Satellite imagery, aerial photos and field survey from 1975 to 2015, the riverbank migration patterns for period of 40 years were investigated. After creating database of recorded data Bashar river, bank lines in different years digitized. Then, by comparing successive changes in bank line position, patterns of erosion and accretion was determined. Due to dischargr and Geological factores effectes on river pattern, these factors were evaluated. The Result of for identify erodible riches in Bashar river using GPS and field surveys, verified. The area of bank erosion and accretion by comparing sequential changes in banklines position determined. For short-term analysis, the migration rate from one any image to the next image is estimated. For long-term analysis, the migration rates are based on the difference between the 1975 image as the reference, and subsequent images. The results indicate that the erosion– accretion patterns in the sub aerial and subaqueous areas of the beshar river have changed significantly since 1994. For the short-term analysis, the highest erosion and accretion amounts are 4.7 and 7 ha from 1975-1984 and 1984-1990, respectively. the lowest erosion and accretion amounts are 2.6 and 2.3 ha from 2008-2011, respectively. The highest rate of bank erosion in different reaches equal to 9.6 and 4.6 ha/y in reachs of fifth and second bserverd. Also rate of bank accretion in fifth and second reachs equal to 9.6 and 4.6 ha/y observerd. the lowest erosion and accretion rate in reach of seven equaled 11.7 and 6.4 ha/y accounted, respectively. The correlation coefficient the between erosion and discharge and annual discharge averagelly for the short-term analysis observed 0.54 and 0.44, respectively.