Hydrology
hassan zia; Goliam Hossan Karami; Ali Taheri
Abstract
Estimation recharge is an important parameter in the hydrogeological study that used for water budget. Recharge potential map prepared based on spatial maps of eight major influencing factors on groundwater recharge rates (lithology, slope value, aspect, drainage density, precipitation, fracture density, ...
Read More
Estimation recharge is an important parameter in the hydrogeological study that used for water budget. Recharge potential map prepared based on spatial maps of eight major influencing factors on groundwater recharge rates (lithology, slope value, aspect, drainage density, precipitation, fracture density, karstification and epikarst) were integrated using GIS after expertise judgment. The study area has been classified into four zones with potential recharge of 15, 25, 35 and 45 percent. The extent of each zone was determined 251, 879, 943 and 200 km2, respectively. The average potential recharge was 30% in the study area. According to potential recharge and average of annual precipitation (164 mm), the total recharge in the Shotori mountains was estimated to be 122 million cubic meters (MCM) and about 25 MCM from that volume were discharged from springs and abstraction wells and remaining volume (87 MCM) is recharging to adjacent aquifers. Ezmigan, Ganbar, and Korit are the major karstic springs that drain the Shotori Mountain with the mean discharge rate of 63, 60 and 24 lit/s and electrical conductivity values of 601, 1640 and 825 µS/cm respectively. The estimated catchment area based on the recharge rate in comparison to the evaluated catchments by geological, stratigraphical methods showed that the difference is less than 15%, which confirms the estimated amount of recharge.
Peyman Heidarian; A. Azhdari; M. Jodaki; J. Darvishi Khatooni; R. Shahbazi
Abstract
Significant damages have been caused by dust storm in Iran, particularly in Khuzestan province. Thus, as a primary step to fight with dust storms, it is necessary to map dust sources. The purpose of this study is to identify dust sources using a combination approach of remote sensing, GIS and sedimentology ...
Read More
Significant damages have been caused by dust storm in Iran, particularly in Khuzestan province. Thus, as a primary step to fight with dust storms, it is necessary to map dust sources. The purpose of this study is to identify dust sources using a combination approach of remote sensing, GIS and sedimentology in Khuzestan province. For this, spatial data of soil, land use, climate, slope (collected from related organizations) and sedimentology were used as constraint layers, and vegetation, land surface temperature (LST) and soil moisture constitute the main layers. Sedimentology map was prepared by field sampling (900 samples) and remote sensing techniques. Also the main layers were extracted by performing the necessary computational processes on Landsat 8 satellite images. The constraint layers were applied to remove the areas without any potential of dust source. In next step, main layers weighting was done using pairwise comparison and Fuzzy Analytic Hierarchy Process (FAHP) methods. For preparing map of dust sources, each major layer was multiplied by corresponding weight and were then integrated to present a dust source zonation map. To validate the results, a field work was carried out in 180 points of source areas that verifies high accuracy of the prepared map. Results showed that 9 percent of Khuzestan plain, equivalent to 349254 hectares, are dust-generating sources. Based on land use type and area, the identified zones include destroyed range, rainfed agriculture lands, bare lands, wetlands, dried ponds and irrigated agriculture lands, respectively.
F Kamranzad; E Mohasel Afshar; M Mojarab; H Memarian
Abstract
Landslide is one of the natural phenomena which can cause catastrophic losses or damages in life and property each year. Hence, it is very important to recognize landslide-prone areas and apply methods to prevent or reduce slope instabilities and landslide hazard and risk. For this purpose, landslide ...
Read More
Landslide is one of the natural phenomena which can cause catastrophic losses or damages in life and property each year. Hence, it is very important to recognize landslide-prone areas and apply methods to prevent or reduce slope instabilities and landslide hazard and risk. For this purpose, landslide hazard zonation is one of the indirect and efficient methods. This study aims to apply data-driven and AHP methods to provide a zonation map of landslide hazard potential in the Tehranprovince of Iran. First, six essential and available factors including slope, slope direction, geologic background, distance from faults, earthquake acceleration and rainfall were selected to be classified in GIS based on engineering judgment. By superposing data layers over landslide distribution map in data-driven method and expert judgment in AHP method, layers and sub-layers were weighted and combined. The landslide-hazard zonation map was then produced for each of the methods in GIS. Results showed that in data-driven method 92.9% of landslides fall into the perilous zone (i.e. hazardous and very hazardous zones) having an area of 7135.15 km2, which is 37.2% of total area of Tehran province. For the AHP method, 96.47% of the landslides were in perilous zone with an area of 10344.7 km2, which is 53.9% of the total area of the province. Finally, the ratio of percentage of landslides in the perilous zone to the percentage of total area of the zone was calculated. The ratio is 2.5 for the data-driven and 1.79 for the AHP method. The larger ratio in the data-driven method indicates its better consistency than the AHP method, implying more coverage of landslides in a smaller perilous area by the data-driven method. This result represents better accuracy of the data-driven method than the AHP method in landslide hazard zonation.
M Kamani; A Uromeihy; M Joorabchi
Abstract
Roads are of linear engineering projects passing various rock units and geological conditions, so it is necessary to engage the engineering geological studies along the way. The studies continue until the end of the construction and operation. In the route selection process, large volumes of data and ...
Read More
Roads are of linear engineering projects passing various rock units and geological conditions, so it is necessary to engage the engineering geological studies along the way. The studies continue until the end of the construction and operation. In the route selection process, large volumes of data and different track conditions are facing. To perform this manually is time consuming and not accurate enough. This study examines the status of engineering geology freeway route Qazvin - Rasht in Roudbar discussed in this context, the factors affecting engineering geology route selection and construction of the freeway, using the Analytical Hierarchy Process (AHP) and Expert Choice software to give weight of these factors, according to their suitability for the construction of freeways, and then layers weighted overlay in GIS software and the final map has been prepared. The final map shows the quality of route engineering geological conditions, which is provided for both surface and subsurface (tunnels) with the least error. Since the procedure for engineering geological survey route is a new method, it requires further investigation and to test in other places in order to be much more modified and corrected. On the other hand, this model can be used for other engineering geological investigations due to high flexibility of this model.
E Ghanavati; A Karam; E Taghavi Moghdam
Abstract
Ground assessment to identify and map of susceptible land are as to slope movements especially landslides is of studies related to natural geographers, particularly geomorphologists. Determining and recognition of susceptive areas to sliding could prevent making loss as well as facilitating slope stability ...
Read More
Ground assessment to identify and map of susceptible land are as to slope movements especially landslides is of studies related to natural geographers, particularly geomorphologists. Determining and recognition of susceptive areas to sliding could prevent making loss as well as facilitating slope stability operations. In this study, the variables such as slope, the aspect of slope, petrology, land use, rainfall, and distance from river, fault, and road were used to map the risk of landslide in the Taleghan watershed. After constructing and analyzing the information layers by means of Arc GIS Software, the fuzzy membership functions were used for weighting the layers. The standardized fuzzy layers were overlapped in GIS environment and the landslide risk mapping was produced by means of fuzzy logic operators. The results of this study indicated that gamma function 0.7 is more appropriate than other fuzzy operators. Based on the abovementioned gamma, 18.91% of the area was identified as the high-risk areas. Obviously, allocating these areas for housing, facilities, etc. increases financial and physical damages.
K Solaimani; J Zandi; M Habibnejad
Abstract
Over the last few decades, many studies have been resulted in landslide susceptibility maps using different techniques including the probability method (frequency ratio), the Analytical Hierarchy Process (AHP), bivariate, multivariate, logistic regression, fuzzy logic and artificial neural network (ANN). ...
Read More
Over the last few decades, many studies have been resulted in landslide susceptibility maps using different techniques including the probability method (frequency ratio), the Analytical Hierarchy Process (AHP), bivariate, multivariate, logistic regression, fuzzy logic and artificial neural network (ANN). This study aimed to evaluate the susceptibility of the occurrence of landslides in the Vazroud watershed located in MazandaranProvince, north of Iran. The achieved results were based on three methods of frequency ratio model, statistical index (Wi) and weighting factor (Wf), which integrated to Geographical Information System (GIS) and remote sensing techniques. Vazroud as mountainous watershed morphologically is with increasing occurrence of landslides and it caused many failures of the mass movement, which seem continues now. In order to reduce the effects of this occurrence, it is necessary to scientifically assess the area where are susceptible to the landslide. For this reason, landslide susceptible areas were mapped and the landslide occurrence parameters were analyzed using three different methods. The results of these analyseswere confirmed using the relative operating characteristics curve (ROC). The validation process showed that the value for the area under the ROC curve for the Wf method was found to be 0.962, with an estimated standard error of 0.002 and is better in prediction than the other methods of frequency ratio and the statistical index (Wi) model.
R Khavari
Abstract
Stream gradients of rivers bedrock in the Khuzestan province were calculated, using GIS and 50-m digital elevation models to discuss the distribution of knick zones. Gradients were classified into local and regional types based on the measurement lengths of stream gradients for 474 rivers having at least ...
Read More
Stream gradients of rivers bedrock in the Khuzestan province were calculated, using GIS and 50-m digital elevation models to discuss the distribution of knick zones. Gradients were classified into local and regional types based on the measurement lengths of stream gradients for 474 rivers having at least 10-km long in the study area. The transition rate from the local to regional gradients, i.e. the decreasing rate of gradient with increasing measurement length, is then obtained as the indicator of relative steepness of a river segment, which permits the objective identification of fluvial knick zones. Knick zones occur widely in the study area. The knick zones with large relative steepness near the outlets of large watersheds are related to the tectonic activity and most of them are actually close to the known locations of the active faults. The most important active faults in the study area are Mafaron, Agha-jari, Andakan, Lahbari, Mordehfel, Maron, North Behbahan Dezfol and Mishdagh. Knick zones occur along upstream steep reaches can be related to active hydraulic and erosional conditions regardless of geological or tectonic conditions. Effects of rock properties on the frequency and form of knick zones are observed, but they seem to play only a subordinate role. This study concludes that tectonics and geology are more important than topographic and hydraulic conditions in knick zone existence.
A Asghari Moghaddam; E Fijani; A Nadiri
Abstract
Aquifer vulnerability assessment to define critical zones of pollution risk is an important method for groundwater resource management. By applying the DRASTIC model in this study, groundwater vulnerability in the Maragheh-Bonab Plain aquifer was evaluated. The DRASTIC model uses seven environmental ...
Read More
Aquifer vulnerability assessment to define critical zones of pollution risk is an important method for groundwater resource management. By applying the DRASTIC model in this study, groundwater vulnerability in the Maragheh-Bonab Plain aquifer was evaluated. The DRASTIC model uses seven environmental parameters (Depth to water, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, and hydraulic Conductivity) as seven layer in GIS media and finally a groundwater vulnerability map was created by overlaying the available hydrogeological data and categorized to low, moderate, and high risk. The DRASTIC index value was evaluated 81 to 116 for the study area. The vulnerability map created by DRASTIC is compared to nitrate data and the results indicate a relative correlation between the nitrate level and vulnerability index. In order to improve the model, four artificial intelligence (AI) models are adopted by optimizing the weights of the DRASTIC parameters. The four AI models are the Sugeno fuzzy logic (SFL), the Mamdani fuzzy logic (MFL), the artificial neural network (ANN), and the neurofuzzy (NF). For this purpose, the AI model input (the DRASTIC parameters), output (the vulnerability index), and nitrate concentration data was divided into two categories for training and test steps. The output of model in training step was corrected by related nitrate concentration, and after model training, the output of model in test step was verified by nitrate concentration. The results show that the four AI models are applicable to improve the correlation between nitrate level and vulnerability index using DRASTIC model for groundwater vulnerability assessment. The NF model by taking advantage of FL and ANN has the best results that high nitrate level at observation well location has high vulnerable index and was selected as a final model. According to the final model, the western areas of the aquifer are classified as high pollution risk. In conclusion, the AI approach proved to be an effective way to improve the DRASTIC model and provides a confident estimate of pollution risk for the study area.
S Kianpouryan; M Farahmandian; M Karimi; A Bahroudi
Abstract
Considering the existence of many copper deposits in Iran and the importance of their exploration, mineral potential mapping with high accuracy is an important tool. The process of mineral potential mapping is a cumbersome process which can be performed using different methods. The Hybrid Neuro-Fuzzy ...
Read More
Considering the existence of many copper deposits in Iran and the importance of their exploration, mineral potential mapping with high accuracy is an important tool. The process of mineral potential mapping is a cumbersome process which can be performed using different methods. The Hybrid Neuro-Fuzzy approach is one of the powerful ones for mineral potential mapping in which both conceptual and empirical components of earth science information are employed, so using both components simultaneously increase the confidence interval. In this paper we were used Adaptive Neuro-Fuzzy Inference System (ANFIS) for mineral potential mapping in Chahar-Gonbad area 1:100000 sheet, Kerman province. The database consists of geology, geochemistry, airborne radiometric, regional faults, ETM+ data, and 22 deposit and occurrence locations. At first, the factor maps were provided in GIS environment in which each cell in the grid data represents a 100 m square on the ground, and then the outputs of this layer were used for training the network. As this technique requires some data for training the network, the occurrence locations were used for training and checking points. Since, the training points were not enough for this procedure, we assigned buffer from 100 to 1000 m for occurrence locations. The results showed that when the buffer is 500 m, the best classification which ANFIS identify about 80% of the known deposits and occurrence locations in high favorability zones.
S Alaei Moghadam; M Karimi; M Mesgari; N Saheb Zamani
Abstract
Due to the extensive areas of potential mineral reserves in the country, it seems necessary to have a systematic approach to identify and convert indices of mineral deposits into mines. Existing various conceptual models of mineral deposits, variety of both quantitative and qualitative data to explore ...
Read More
Due to the extensive areas of potential mineral reserves in the country, it seems necessary to have a systematic approach to identify and convert indices of mineral deposits into mines. Existing various conceptual models of mineral deposits, variety of both quantitative and qualitative data to explore mineral deposits and the expertise and different interests, cause the mineral potential mapping process to be very complicated. So far, various methods such as the overlap index, fuzzy logic, neural networks and weights of evidence are used for modeling this complexity. Consideration the fuzzy nature of mineral exploration in the process of modeling exploratory data, applying expert knowledge and flexibility for all types of mineral deposits in the form of an integrated system is essential. Compared with other methods fuzzy inference system has stated characteristics. To verify this, in this study, a fuzzy inference system for modeling mineral potential was proposed and for the Chah Firoozeh copper deposit was implemented. The main stages of this research include fuzzifying factor maps using the appropriate membership functions and linguistic variables, combining factor maps using fuzzy inference (by creating if_then fuzzy rules database and using an appropriate decision-making model) and generating mineral potential map with defuzzification output.
In the resulted mineral potential map, porphyry copper mineralization prone area is located in the central regions with north-south extension. For evaluation, 24 exploration boreholes in the area are complying with the mineral potential map. Based on the four classification types of mineral potential map, the compliance rate was calculated as 63.64%, 75%, 63.95% and 80.23%. Obtained mineral potential map is more accurate in the very low potential areas and 81.52% of the holes with very low state are located properly. In addition, resulted mineral potential map was compared with the mineral potential map generated using only fuzzy operators and without fuzzifying factor maps. The comparison shows that the mineral potential map that was generated using fuzzy inference system, in four classifications used in this study has 6% greater compliance with the exploration boreholes in average.
M. forutan; A. mansourian; M. Zareinejad; M. R. Sahebi
Abstract
Drilling in mine deposits has proven to be complicated, costly and time consuming process, hence it has identified the determining of optimum boreholes as a crucial issue in detailed studies. Because of some complexity in formation of mineral deposits, decreasing in risk and expenses of drilling ...
Read More
Drilling in mine deposits has proven to be complicated, costly and time consuming process, hence it has identified the determining of optimum boreholes as a crucial issue in detailed studies. Because of some complexity in formation of mineral deposits, decreasing in risk and expenses of drilling may be continued by considering the wrapped condition of mineral deposits formation, followed by the integration of effective mineralization factors. By considering that in traditional methods of combination of mineralization’s factors like overlay and index overlay, is based on expert’s knowledge and expert knowledge is related to data accuracy, therefore, the accuracy of these methods could be remarkably decreased by large amount of data and noise. In order to solve these problems, utilization of flexible methods and powerful tools in data processing is obviously needed, especially in case of noise presence. Artificial Neural Networks are appropriate tools in large amount of data management and pattern recognition of noisy data, because of nonlinear, parallel and flexible architecture. So ANNs has been used in determining of proper position of boreholes. Neural Networks have various structures regarding their activation function and number of hidden layer and neurons in each layer. Consequently it is necessary to examine the performance of all these structures in determining the optimum position of boreholes.This paper represents a study on utilization GIS and four different Neural Networks namely: Multilayer peceptrons, Radial Basis Function, Generalized Neural Network and Probability Neural Network, for determining the position of boreholes of porphyry copper exploration in Chahfirouzeh region using cross correlation method. First, the mineralization factors are explained based on conceptual model of porphyry copper and predictor maps are produced, then, the training vectors are derived. After that, the networks are trained by geology, geochemistry and geophysics data layers. At the end, performances of the networks are compared. Implementation of Artificial Neural Networks reveals that two Neural Networks, GRNN and RBF, have the highest accuracy (approximately 80 to 83 %). Eventually, a potential map is produced by the best method.
R. Hassanzadeh; A. Abbasnejad; A. Alavi; E. Sharifi Teshnizi
Abstract
In this article we examine the siesmicity of Kerman city. This city is located in a compressional graben which is bordered by several active faults, some of them are able to trigger an earthquake even stronger than Ms=7.0. Numerous historical earthquakes had occurred around the city which caused minor ...
Read More
In this article we examine the siesmicity of Kerman city. This city is located in a compressional graben which is bordered by several active faults, some of them are able to trigger an earthquake even stronger than Ms=7.0. Numerous historical earthquakes had occurred around the city which caused minor damage to the building. For seismic evaluation of Kerman city both probabilistic and deterministic methods have been taken into consideration. Accordingly, peak ground acceleration due to 15 fault segments can exceed greater than 0.2g. The intensity scale resulting from earthquakes by Kerman – Zangiabad, North Kerman and Ekhteiarabad faults would be around IXMMI in the city. In order to assess the site effect, semi detailed micro zoning was carried out by combining micro tremor and sediment facies maps using GIS. The thick young sediments would amplify the intensity to X+ MMI. Based on the resulting map, the intensity scale would increase in central, western as well as some localities of the southern part of Kerman and many buildings would be damaged by such intensity scale.
H. Gharahi; B. Bohlooli; A. Sayyar; M. Shariat jafari
Abstract
Landslides cause damage to property and pose a threat even to human lives. Suitable landslide susceptibility, hazard and risk models could help mitigate or even avoid the unwanted consequences resulted from such hill slope mass movements. For the purpose of landslide susceptibility assessment, a spatial ...
Read More
Landslides cause damage to property and pose a threat even to human lives. Suitable landslide susceptibility, hazard and risk models could help mitigate or even avoid the unwanted consequences resulted from such hill slope mass movements. For the purpose of landslide susceptibility assessment, a spatial database, which included 18 landslides prepared and analyzed using LISS-IV satellite imagery and geographical information system (GIS) technology. Analytical hierarchy process (AHP), the statistical index (Wi) and weighting factor (Wf) methods were applied to determine the significance of event-controlling parameters in triggering the landslides. The parameters included lithology, slope gradient, slope aspect, elevation, distance from faults, distance from stream and drainage density. These factors are different in geomorphic and geologic setting. The result showed that lithology, slope gradient and distance to stream play most important roles in landslide susceptibility. To confirm the practicality of the three susceptibility maps, there were compared with landslides activity map containing 12 active landslides. The results showed that the Wi method gave a more realistic picture of the actual distribution of landslide susceptibility, than the Wf method in the reservoir of Alborz dam.
G. R. Elyasi; M. Karimi; A. Bahroudi; A. Adeli Sarcheshme
Abstract
Piles of maps from different sources with varying scales and formats and different styles and absence of a proper solution for integrating vast amount of information has resulted in a complexity for preparing mineral potential map. Using GIS not only organizes the information related to mineral exploration ...
Read More
Piles of maps from different sources with varying scales and formats and different styles and absence of a proper solution for integrating vast amount of information has resulted in a complexity for preparing mineral potential map. Using GIS not only organizes the information related to mineral exploration but also has the ability to produce and integrate information layers in different models with more precision and speed and supports spatial decision makings. In this article mineral potential map of Now Chun copper prospect has been produced for determination of drilling points. Used layers in this study include rock type, structure, alteration, mineralization indicators, anomaly zone of chargeability and apparent resistivity and metal factor, anomaly of copper and molybdenum and Cu-Mo additive indexes. After information preparation, Factor maps were weighted and integrated in the inference network. Integration use of Fuzzy logic and index overlay operators in inference network can eliminate defects in other models and provide more flexible integration of factor maps. Regarding to produce mineral potential map, mineral potential zones of porphyry copper were located in north-east parts of studied area. Eventually, the degree of correlation between mineral potential map and those operated exploration boreholes have been estimated for two different classes, 63.16 % and 64.52 %. Comparison between the high potential points indicated by our mineral potential maps with those previous drilled boreholes reveals about 26% discorrelation. It means that if such present study had been done before any drilling operation, it could have saved 200,000$ just for drilling expenditure.
A. Maleki
Abstract
The Large numbers of provinces in country use Karst's water Sources as a main Source of securing water for using in different ground of drinking-agriculture and industry. Kermanshah province with an area about 24953,286 square kilometers is located in the middle of western side of the country which its ...
Read More
The Large numbers of provinces in country use Karst's water Sources as a main Source of securing water for using in different ground of drinking-agriculture and industry. Kermanshah province with an area about 24953,286 square kilometers is located in the middle of western side of the country which its main part is in the zones of nappe and foliated Zagross and its heights are often formed of the hard carbonated formations. The Karsti zonations of Kermanshah province play an important role in the providing and feeding of aquiferouses; for this reason to recognize these zonations and the rate of their modification , the zonation of the modification of the karst is done in this research and its map has been drawn too . For the purpose of acquiring of the aims of the research , first the closed superficial holes as the index of the modification of the karst were recognized by using the topographic maps 1 / 50000 and the recognizing pictures 5 meters irs (BW) , their maps were drawn and after examining statistically and confirm the relationship the maps with the subject , with the help of the Kay square and the rotary operation , seven factors of height , lithologic , geomorphology , temperature , rainfall , vaporization and slope as the effective factors in the modification of the karst have been selected . After digitalization of all of the respective data for evaluation ( giving weight ) the classes of the maps of aquired from the statistics ways , analysis of the hierarchic ( expertizing judgement ) , condensation of the surface , the informational value , the variables weight and the experimental way were used . Then in the environment of gis the maps of the factor of overlapping and the maps of the zonation the modification of the karast has been aquired with the 5 ways mentioned .Among the ways used for zonation , the way of the informational value has the most adaption with the selected index (the closed holes) in the zone being studied .The aquired maps of zanation, beside the determinination of the zones with different degrees of modification of the karst's from in the province, It also has detemined the feeding Limitations of underground waters (Karst) and the favourable areas for Pollution of these Sources in the surface of earth.Which should use Suitable Policy for protecting these areas, Other wise many gangers will threat the feeding places.
P. Garaei; K. Soleimani; S.R. Mousavi; A. Kavian
Abstract
In basins of the northern part of Iran, combination of natural and human factors has intensified landslide and related numerous damages. The investigation importance of this phenomena and effective factors of landslide occurrence and also determining susceptible zones it order to preventing and avoiding ...
Read More
In basins of the northern part of Iran, combination of natural and human factors has intensified landslide and related numerous damages. The investigation importance of this phenomena and effective factors of landslide occurrence and also determining susceptible zones it order to preventing and avoiding its effects is required. At the beginning, of this research after field investigation, review of previous works in similar Lajemrood basin and using questionnaire, were recognized primary effective factors on landslide occurrence. Thin preparing effective factors maps in Geographic Information System. In order to quantifying the factors and weighting them, landslides percentage in different units was determined. For statistical analysis of multiple regressions the stepwise method was used which concluded with ignoring the elevation factor as regional model. Finally, geology, land use, slopes and distance from the road has the most effects on landslides. For evaluation of the accuracy of this model, neighboring basing (Varakee basin) with similar characteristics was chosen. The results have indicated that the most recorded area landslides in Varaki basin occurred in high and high hazard zonation. Thus, it can be concluded that presented model can be used for the study area.
E. Moghimi; M. Badri Far; M. Zarei Nejad
Abstract
Morphodynamic characteristics of Damavand volcanic cone have been affected by two factors including internal and external morphodynamics. Major goal of this research is based on external morphodynamics. The morphodynamical landforms of this area are divided in two main groups, the first one is climatic ...
Read More
Morphodynamic characteristics of Damavand volcanic cone have been affected by two factors including internal and external morphodynamics. Major goal of this research is based on external morphodynamics. The morphodynamical landforms of this area are divided in two main groups, the first one is climatic processes and the second one is anthropogenic processes. Climatic processes, including glacial erosion, pre-glacial erosion and alluvial erosion, have changed morphology of slopes and spatial landforms. For the special geographic condition of Damavand volcanic cone, few data is available. Therefore by using satellite images ETM+, ASTER, SPOT, several new data layer have been prepared based on base maps and field checking in GIS environment.
M. Karimi; M.J. Valadan Zoej; H. Ebadi; N. Saheb Zamani
Abstract
Considering the vast area of Iran and extent of her potential mineral reserves (existence of volcanic belt of Urumieh-Dokhtar), a systematic view for mineral deposit exploration and mineral potential mapping is essential. Lack of a systematic view and appropriate models ...
Read More
Considering the vast area of Iran and extent of her potential mineral reserves (existence of volcanic belt of Urumieh-Dokhtar), a systematic view for mineral deposit exploration and mineral potential mapping is essential. Lack of a systematic view and appropriate models for collecting, managing and integrating various geo-spatial data from different sources based on various formats make it difficult to identify, evaluate and proioritize mineral potentials.
Since most of the data related to mineral deposit exploration activities are geo-spatial, Geographical Information System (GIS) can describe and analyze interactions, make predictions with models, and provide support for decision-makers. Mineral potential mappig composes of different steps including: identifying mineralization recognition criteria, data perparation and structuring, producing factor maps and integrating factor maps in the appropriate inference networks. In this research conventional models for integrating factor maps have been investigated. Index overlay and fuzzy logic models are selected to be appropriate models for mineral deposit exploration in semi-detailed (regional study) and detailed stages. An integrated model was also proposed based on Boolean, index overlay and fuzzy logic models . For experimental test, the mineral potential map of Rigan Bam copper deposit with appropriate methods in different inference networks have been produced and 3 appropriate inference networks (one network by Fuzzy Logic model and two networks by integrated models) were selected. Results of three selected networks are in a good accordance with drilling results (%75). Proposed model in Rigan Bam copper deposit capability with required variation can be used for other mineral potential areas and site selection of drilling wells.
