Seyed Masoud Soleimanpour; Amin SalehpourJam; Ali Akbar Noroozi; Naser Khalili
Abstract
Implementation of watershed management projects without the participation of people has not been very successful. Therefore, prioritizing indices and sub-indicators affecting their poor participation is an important step in managing of watersheds and it can lead to taking measures to eliminate barriers ...
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Implementation of watershed management projects without the participation of people has not been very successful. Therefore, prioritizing indices and sub-indicators affecting their poor participation is an important step in managing of watersheds and it can lead to taking measures to eliminate barriers to participation and maximum participation of stakeholder in planning. Therefore, in this research the priority of investigation of stakeholders in prioritizing factors affecting their poor participation in watershed management projects in Morad Abad watershed in Meymand, west of Fars province so after completing 72 questionnaires from the head of the household using T test and Friedman nonparametric test were done. The results showed that from the views of stakeholder, the indicators such as "economic", "educational-extensional", "design-executive" and "social" were the maximum and minimum priorities of poor participation of stakeholders in watershed projects in this watershed. Also, the most important sub-indicators on poor participation of stakeholders in watershed projects in this watershed are "low income residents of the watershed," "lack of local power in implementing projects (job creation)", "ignoring income for stakeholders as a direct incentive to implement of watershed management projects ", and" low level of literacy and awareness". Accordingly, the range of average ratings varies from 6.93 to 10.25, so that the sub-indicator "low income residents of the basin" with an average rating of 10.25 has the highest relative priority and "late watershed project efficiency" with an average of 6.93 had the least relative priority in poor participation of stakeholders in watershed projects in this watershed.
Sima Pourhashemi; mehdi boroghani; abolghasem Amirahmadi; MohamadAli Zanganeh Asadi; Mahdi Salhi
Abstract
Due to the drought and land use changes in recent years, dust storm phenomenon in Iran has increased. The purpose of this research is to identify and prioritize dust source areas using bivariate models (probability model of event weight and frequency ratio model) in R software environment and determine ...
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Due to the drought and land use changes in recent years, dust storm phenomenon in Iran has increased. The purpose of this research is to identify and prioritize dust source areas using bivariate models (probability model of event weight and frequency ratio model) in R software environment and determine the importance of each of the environmental factors affecting it in Khorasan Razavi province. To this porpuse, 65 dust extraction points were identified in the study area and a dust distribution map was prepared. Then maps of each of the factors influencing the occurrence of dust including soil maps, lithology, slope, vegetation index (NDVI), distance from the river, geomorphology and land use were prepared. Using the frequency and event weighting models, the weight of each effective factor and the relationship between each of the factors and the points of dust source were determined and, finally, priority maps of the dust source areas were prepared for the case study. Models were evaluated using the ROC curve. According to the results of both models, geomorphology units, land use and slope have the most effect on the occurrence of dust in the region, and both models have a frequency ratio and event weight with a sub-curve of 0.818 and 0.825, respectively. They accept.
Ali Golkarian; Abbasali Mohammadian; Abolfazl Abdollahi
Abstract
The first condition for control erosion and improve of watershed with critical status, identify and prioritize areas and catchments with a critical situation. At the time of control activities implementation, this action causes, more considered higher priority areas and conservation programs focus on ...
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The first condition for control erosion and improve of watershed with critical status, identify and prioritize areas and catchments with a critical situation. At the time of control activities implementation, this action causes, more considered higher priority areas and conservation programs focus on such areas. The purpose of this research is priorities for watershed management sub basins of Daryan watershed, using similarity to ideal option (TOPSIS) method. First, in this study, six criteria (population, average production, water resources, agricultural land surface, erosion and formation) to prioritize is selection, and then the weight of each criterion using entropy method was determined. Among the criteria studied population and erosion were the highest and lowest weight respectively. The results showed that among the 38 sub-basins studied, sub basin A10, A’11 and B’7_A’12_C’21 because of high-ranking criteria of population, water resources and agriculture have the highest priority and sub basin C6, C9 and C’7 due to the lower these criteria the lowest priority given to the watershed.
Ali Talebi; Shahrbanoo Abbasi Jondani
Abstract
WEPP model needs a great deal of input data. Identifying the model’s sensitive parameters andtheir prioritization increases the accuracy and efficiency of the model. On the other hand, WEPPmodel can simulate processes affecting on runoff, erosion and sediment throughout the year. Thus,model sensitivity ...
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WEPP model needs a great deal of input data. Identifying the model’s sensitive parameters andtheir prioritization increases the accuracy and efficiency of the model. On the other hand, WEPPmodel can simulate processes affecting on runoff, erosion and sediment throughout the year. Thus,model sensitivity must vary based on the storm occurrence time and parameters value in differentsections of the year. To prove this assumption, two spring and autumn storm events related to 2008were selected and sensitivity analysis of the WEPP model was done in three plots with differentconditions in Sanganeh watershed. For sensitivity analysis, the OAT method was used andsensitivity degree of parameters was calculated. Obtained results show that the rate of sand is themost sensitive parameter of WEPP model. This parameter was followed by other parameters likeclay percent, effective hydraulic conductivity, height and intensity of rainfall, day degree ofgrowing, growing season and percent of growing season when leaf area index decreases. Mostvariations are observed in prioritization of sensitive parameter in the plant/ management file. Inmost cases, sensitivity degree of these parameters in autumn event comparing to the spring eventhas significantly reduced in all plots. In general, obtained results show that the rate of sensitivity ofthe WEPP model to different parameters varies during the time. Hence, for using this complexmodel in regions with data limitation, the user must be aware to this issue that regarding storm time,which parameter is more sensitive in the pilot area and need to be carefully measured in the field.
Sadegh Tali-Khoshk; Mohsen Mohseni Saravi; Mahadi Vatakhah; Shahram Khalighi-Sigarodi
Abstract
Because of insufficient factors including facilities, budget, human resources as well as time watershed operation is not applicable throughout the basin. As a result, watershed operation should be performed in the sub-basins in which is more affectionate and the risk frequency of some events such as ...
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Because of insufficient factors including facilities, budget, human resources as well as time watershed operation is not applicable throughout the basin. As a result, watershed operation should be performed in the sub-basins in which is more affectionate and the risk frequency of some events such as destruction, degradation; physical and financial damage and also flooding are considerably high. In addition, due to hydrometric stations, defects or the lack of stations in some areas, some efforts have been made experts recently to assess and consequently introduce some novel and reliable methods for prioritizing on the basis of current data obtained from sub-basins features of different geographical regions. In current study, the utilization possibilities of neuro-fuzzy technique and SCS in HEC-HMS model that have different potential to examine a wide range of advantageous and disadvantageous in making various decisions were studied. To determine the prediction accuracy of these methods, the rate of flow and sediment output of Taleghan sub-basins were taken over one year. The results of these methods were then compared with the maximum two-year return period flow observations. Our results revealed that in making prioritization, neuro-fuzzy as compared with the SCS method can produce the best prediction as long as the coefficients of errors, efficiency compared to the observational data and predictions are taken into account.
