جستجوی مقالات مرتبط با کلیدواژه "ardabil province" در نشریات گروه "محیط زیست"

The present study was conducted to assess the water quality of the Balighli-Chai and Ghare-Sou Rivers, the main rivers of Ardabil Province, Iran. The levels of dissolved oxygen (DO), biochemical oxygen demand (BOD), nitrate (NO3) and phosphate (PO4) were measured and simulated using the QUAL2Kw model during low- and high-water periods. Also, self-purification capacity and total maximum daily load (TMDL) levels of water quality parameters were calculated. The obtained results indicated considerable differences between the levels simulated by the model from the measured data for both rivers. Most of the river sections had low self-purification capacities. Maximum self-purification capacity (%) were: high water period: DO = -226.61; BOD5 = 90/30; NO3 = 99.88; PO4 = 96.49; low water period: DO = -281.71; BOD5 = 89.13; NO3 = 94.74; PO4 = 90.21. TMDL scores for DO, BOD5 and NO3 were higher during the high-water period, but entire sections of both rivers showed high excess loads of PO4. The results showed that most ranges of both rivers didn't have appropriate water quality conditions. Therefore, it is necessary to make proper decisions to control pollution levels and improve water quality in this basin

Long and short term weather forecasting have been as two of the most important challenges to water and climate researchers. In order to overcome this challenge, several tools, including atmospheric-ocean general circulation model forecasting scenarios, and downscaling models have been developed and used. These tools downscale forecasting scenarios by creating relationship between parameters of synoptic stations and Large-scale data of general circulation models.

In this study large-scale predictor parameters from 1961 to 2003 from the database of National Centers for Environmental Prediction (NCEP), large-scale data for the A1B and A2 forecast scenarios of the HadCM3 model from 2001 to 2100 from the Canadian Centre for Climate Modelling and Analysis (CCCMA), and the meteorological synoptic data of Ardabil stations from the Meteorological Organization were gathered. To this end, three downscaling models such as Statistical Downscaling Model (SDSM), least squares support vector machine (LS-SVM) and multi-layer perceptron (MLP) were determined for downscaling; and correlation coefficient (CC), Mean Squared Error (MSE), Root Mean Square Error (RMSE), Normalized mean square error (NMSE), Nash-Sutcliffe, Mean Absolute Error (MAE), and Taylor diagram were used to evaluate the efficiency of the models.

The results showed that the MLP obtained the best results based on the average of the stations with the values of (CC=0.85), (NMSE=0.63), (NSH=0.73) and (MAE=0.52), and LS-SVM and SDSM are ranked second and third, respectively. Taylor's diagram also identified the SDSM as the weakest and the LS-SVM and MLP as superior models with a slight difference. Based on downscaling results of all forecasting scenarios, an increase in average daily temperature is also predicted by 2100 in all studied stations.

Based on the results of the study, all forecasting scenarios and all methods of downscaling show increasing the daily average temperature by 2100. Hence, it is necessary to be taken this issue account for making environmental and developing policies in this area.

Surface temperature is one of the main indices of Earth's energy balance and has an impact on human life because all human activities, direct and indirect, are related to the temperature of the air, which is affected by the temperature of the earth's surface. Therefore, in this study, using Landsat satellite images dating from 19/05/1394, the relationship between vegetation and surface temperature in the northern part of Ardebil province was studied. To this purpose, vegetation indices (NDVI, SAVI, and LAI) and LST index using the Mono Window method were used in ENVI 4.8 software. The results showed that there is a direct correlation between vegetation indices and surface temperature, and in urban areas and Wasteland, the highest LST is evident, with the expansion of urbanization and the increase of desertification over the years, it will be added. Therefore, the northern and southeastern regions of the study area (including Moghan plain and Fandoghlo forests), which are rich in vegetation, have LST less (LST values in this region are around 290 to 300 Kelvin), and the central regions of the study area Which is poor in terms of vegetation and includes Wasteland with a higher LST (LST in this area is between 312 and 324 degrees Kelvin). The results of this study are very useful in environmental and natural resource conservation studies and could be the basis for environmental protection planning.

The Fandoghlu grasslands of Namin are considered the most important rangeland ecosystems in the northwest of the country for various aspects such as high-quality rangeland species, genetic resources, forage production, beekeeping, and tourism. Over the past few decades, we have witnessed the intentional or unintentional introduction of the invasive plant Leucanthemum vulgare Lam. in tourist areas and rangelands adjacent to the forests of Talesh, Shoghaldare, Fandoghlu, Nanekaran, Kaleh Sar, and Aladizgeh in Namin county. According to reliable references and indigenous knowledge, this species has not been present in these areas in the distant past; however, its distribution has been widely observed in grasslands and forest spots in the region in recent decades. L. vulgare is a perennial plant of the Asteraceae, and by forming a dense and extensive population, it affects the composition of plant communities, structure, and function. In addition, due to the bitter smell and taste and allopathic properties, it is not grazed by domestic and wild animals. Therefore, it is a threat to the sustainable use of rangelands. Identifying the ecological factors affecting the species distribution, understanding the life cycle and its growth needs, and selecting effective management strategies are important to support optimal vegetation to prevent its spread. The information provided helps managers prioritize effective action, taking into account relevant bio-economic costs, their effects on the region's grasslands and other rangeland ecosystems, and the benefits of controlling it.

Conventional farming prevails, especially after World War II due to the use of modern agricultural Institutions increase productivity of agricultural production. It rewards the true values of producers and their products. It draws and learns from organic farming. It works on farms and ranches large and small, harnessing new technologies and renewing the best practices of the past. The purpose of this paper is measurement and prioritization of influencing factors on sustainable agricultural development from point of view Jihad experts of Ardabil Province. The statistical population of this survey consists of Jihad Expertsof Ardabil Province. For data collection, it was used the documents, library and internet as the material to investigate the literature background, while utilizing the questionnaire to gather necessary field data, which was formulated, as proposed in different resources, based on the research assumptions and questions. Further, validity of the questionnaire was approved by a panel of experts and scholars the field of sustainable agriculture and agriculture development. Then, 30 questionnaires were completed in the Ardabil Province to determine its reliability through the test, and the Cronbach alpha coefficient was calculated for the total questionnaire equal 0.78 = α using SPSS software package. The study sample consisted of all experts in Ardabil Province, of which 160 were selected by multistage random sampling.  For data analysis, SPSS software was used. The research results showed that barriers of educational, environmental, economical and psychological settled in Ardabil province, respectively.

The study of ecological areas in Ardabil province with the aim of controlling and differentiating land use and recognizing the rangeland species type was conducted in 2010-2012. According to recent surveys, the area of ​​Ardebil province is estimated to be about1,777,736 hectares. The total lands are included: rangelands and forests about 685,707 hectares (38%), cultivated lands about 1,062,924 hectares (60%), rock and bare outcrops of about 14,628 hectares, water levels of 1,186 hectares (1%) and urban and industrial lands are about 13,291 hectares (1%). 66 rangeland types were divided into four groups in the rangelands of the province as follow: Artemisia, Astragalus, perennial grasses and Onobrychis. In addition, five individual types as Peganum, Caparis-Iris, Carex-Iris, Salsola-Poa and Trifolium-Trisetum were identified. Moreover, the forest habitats of the province are composed of eight types of Quercus–Fagus, Corylus avellana Mixed, Carpinus–Corylus, Tamarix–Salix, Quercus-Carpinus-Zelkova,, Quercustype, Pistacia atlantica subsp mutica type and Crataegus-Paliurus spina – Christi- Acer monspessulanum Mixed type. The results of this research including the area and position of natural resources types as well as vegetation map can be used as a scientific document and reference for the implementation of applied research projects by executive organizations in Ardebil Province.

Following the uncontrolled growth of cities, several approaches were raised to provide favorable conditions of life for present and future generations. One of the major approaches is a healthy city approach; however, to find out which city is healthy and what level of health it bears as compared to other cities is yet complex and ambiguous. This study aimed to analyze the indicators of a healthy city in urban settlements of Ardabil province. Ardabil city was ranked based on on 42 criteria for health indicators. In this study it is attempted to measure the weight of a healthy city by network analysis process (ANP. TOPSIS multi-criteria decision-making models were also used to evaluate urban settlements. Spatial analysis of health indicators in urban settlements of Ardabil province, stating that Kowsar, Sarein, and Namin townships are developed, Kalkal Township is partially deprived and Bilesuar, Meshkin Shahr, Ardabil and Pars Abad townships are deprived. The results show a significant relationship between the population and ranking of each city, so that Pars Abad, Meshkin Shahr and Ardabil are the most populous townships of the province and ranged as less provilaged interms of healthy city indicators. The results of the study area mapped in the GIS environment.

Finding the best site for construction of wind farm such as any other engineering project needs basic information and specific programming. After confirmation of exploitable wind potential, finding the suitable location of wind farm regarding to various technical, economic-social and natural factors are so important. This study analyzes land suitability for placing wind farm in Ardabil province regarding to some effective factors such as height, slope, and distance from urban areas, distance from village regions, distance from water bodies and distance from main roads networks. For this purpose, at first 9 effective factors are identified and prepared in GIS and weight of each criterion and classes are calculated by Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The next step of procedure was the elimination of exclusionary areas for wind power plant. Afterwards, the study area was zoned for each criterion using analytical functions of GIS. Finally by integrating zoned maps based on weight from AHP and SAW methods, final map of both methods are supplied in 5 classes from completely suitable to unsuitable. In this study comparing the results of 2 methods expressive that AHP method results are more cautious than SAW results. Also Completely suitable class resulted from 2 methods in spite of different area, shows Ardabil Plain and foothills of Sabalan could be considered as suitable site to exploit of wind energy.