Seyed Masoud Soleimanpour; Omid Rahmati; Samad Shadfar; Maryam Enayati
Abstract
Field measurements of soil loss due to gully erosion are very time-consuming and costly, so direct measurement of gully erosion at large scales is a time-consuming, costly, and labor-intensive process. For this purpose, the present study attempted to accomplish this by modeling soil loss due to gully ...
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Field measurements of soil loss due to gully erosion are very time-consuming and costly, so direct measurement of gully erosion at large scales is a time-consuming, costly, and labor-intensive process. For this purpose, the present study attempted to accomplish this by modeling soil loss due to gully erosion using random forest and support vector machine learning models and evaluating their efficiency in the Mahurmilati watershed located in the southwest of Fars province. Field measurements of dimensional parameters of 70 gullies were conducted over four years (2021 to 2024). In the modeling process, 15 environmental factors were considered as independent variables and the rate of soil loss in ditches as the dependent variable, and modeling was performed with a cross-validation approach. The accuracy of the models was evaluated using quantitative criteria such as root mean square error (RMSE), coefficient of determination (R2), root mean square error (RSR), and correlation coefficient (d). The rate of soil loss in gullies during the study period was 15300.94 tons. The results of the model prediction accuracy evaluation showed that the random forest model has better performance than the support vector machine model in terms of evaluation criteria and was introduced as the superior model for predicting the rate of soil loss due to gully erosion. The findings showed that "modeling" can provide valuable services to water and soil conservation management in saving time and money. For this purpose, it is suggested that the use of artificial intelligence-based models and machine learning structures be given more attention in future research.
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.
S.M Soleimanpour; majid Soufi; hassan Ahmadi
Volume 63, Issue 1 , June 2010, , Pages 41-52
Abstract
Gully erosion has an important role in Fars province due to sediment production and enormous damages to land, roads and infrastructures. In this research, 15 gullies were selected to measure their morphometric characteristics. The length, depth, top and bottom width and volume of gully erosion were then ...
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Gully erosion has an important role in Fars province due to sediment production and enormous damages to land, roads and infrastructures. In this research, 15 gullies were selected to measure their morphometric characteristics. The length, depth, top and bottom width and volume of gully erosion were then measured. Influential factors on the sediment production and gully development were analyzed and determined by using stepwise method in SPSS software. The results indicate that sediment production due to gully development is related to three variables including drainage area, silt and the sand percent of the watershed above the gully heads. These results imply that surface runoff is acting as dominant hydrologic process on gully development. Investigation on the topographic threshold reveals that drainage area exponent (b) is negative and these results are in the same line with the results of some recent relevant studies. The results also indicate the watershed characteristics and geological formation impact on the gully sediment production. Gully development could be reduced by decreasing the area of bare land as the main source of surface runoff by vegetation planting and terracing. Constructing of small earth dams at the end of gullies collect surface runoff and provides better situations for vegetation establishment around gullies.
