kamran davary | Ferdowsi University of Mashhad (original) (raw)

Papers by kamran davary

Abstract: Given the uncertainty surrounding the location of flow paths on active alluvial fans, a... more Abstract: Given the uncertainty surrounding the location of flow paths on active alluvial fans, alluvial fan floods are more dangerous than riverine floods. The flood hazards coupled with the potential of channel shift, or avulsion, across the width of alluvial fans may cause substantial damages. Avulsion is the process of flow path uncertainty that can result from floodwater overtopping a channel bank and creating a new channel. The earlier methods of determining avulsion on alluvial fans (such as FAN program model) received negative ...

Expert Systems with Applications, Feb 29, 2024

Applied Water Science, Jan 16, 2024

The numerical modeling of the land surface can make up for the insufficient station data in terms... more The numerical modeling of the land surface can make up for the insufficient station data in terms of number, dispersion, and temporal continuity. In this research, to evaluate the Noah-MP land surface model, the water balance components were estimated in the Neyshaboor watershed in the monthly time step during 2000-2009. Model input data were obtained from the global land data assimilation system version 1 (GLDAS-1), and the SWAT (soil and water assessment tool, a semi-distributed for small watershed to river basin-scale model) model output was used for the evaluation of the Noah-MP model. In this study, the ability of the Noah-MP model in simulating vegetation dynamically was studied. The precipitation was corrected before running the model for a more reliable evaluation. The time between 2000 and 2001 was considered a spin-up period and 2002-2009 for calibration and validation. The model has the best simulation in the mountainous areas; the runoff simulated by the Noah-MP model is in good agreement with the modeled runoff by SWAT in these areas. (R 2 = 0.78, NSE = 0.62, RMSE = 1.98 m 3 /s). The R 2 for simulated soil moisture for soil layers (0-10, 10-40 cm) was 0.62 and 0.57, and RMSE was 0.059 (m 3 /m 3) and 0.052 (m 3 /m 3), respectively, in Motamedieh field. The annual amount of evapotranspiration estimated by the two models is comparable to the average annual evapotranspiration in the watershed (about 300 mm). Based on the results from the research, the model has well simulated: the runoff in the mountainous areas, the moisture in the upper layer of the soil, and the average annual evapotranspiration in the study area.

Advances in science, technology & innovation, 2022

تحقیقات آب و خاک ایران, Sep 12, 2018

Journal of advanced pharmacy education and research, Feb 12, 2020

مطالعات راهبردی سیاستگذاری عمومی, Mar 12, 2019

Frontiers in water, May 11, 2023

علوم و مهندسی آبیاری, Dec 12, 2021

Methodology By reviewing the common indicators of water management in the world, 200 indicators f... more Methodology By reviewing the common indicators of water management in the world, 200 indicators for sustainable water management were identified and the evaluation matrix was designed to identify and describe the indicators and to define new indicators based on their classification (main information in each index, including the name, a brief description, the calculation method and the scale of application were formed). In order to evaluate the indicators based on the components of sustainability, it was necessary that the views of different groups as decision makers, including executive managers, experts, water sector experts, university professors and people with diverse specializations in the field of economic, social, environmental and institutional sciences on the aspects of the use of indicators be studied and group consensus be reached to achieve the results. The method of selecting experts in this study was purposeful and the data collection tool was oral interview and questionnaire using Delphi method. In the first stage, the selection and evaluation of indicators was aimed at eliminating indices with the same concept and selecting indicators that were proportional to the SMART criterion. In the second stage, the evaluation of the indicators was based on the suitability of each indicator to be used in the basin scale, and in the third stage, the final indices should be selected from among the primary indicators, so that they can be analyzed by taking the components of stability into account. To this end, decision makers were asked to evaluate the evaluation process for the indicators for the management of the catchment basin based on the fuzzy numbers for the nine-point scale according to the four components of development (economic, social, environmental and institutional) Likert's (Habibi et al., 2015). In order to reach consensus in the opinions of decision-makers, the data obtained from the questionnaire were classified and analyzed using the principles of descriptive statistics and the fuzzy Delphi method. Results and discussion In this study, the indices of sustainable water management have been studied based on sustainability components analysis at watershed scale. About 200 indices were selected from the literature and presented in the form of evaluation matrix and questionnaire to decision makers. In total, 10 questionnaires were distributed among decision-makers and interviewees. In the first stage of the study, in which the SMART scale of indices and the removal of indices with similar meanings were considered, 120 indexes we left for the second stage, based on their suitability for use in the watershed scale (54 indices were excluded). In the third stage, 66 indices were used as indices of water management with the aim of determining the sustainability components, by completing the questionnaire and considering the meanings obtained by considering experts' opinions and the fuzzy Delphi approach. The results of analyzing the questionnaires show that 30 indices (45%) are consistent with most of the components of sustainability. These indices describe a wide range of issues related to water resources. Thirty indices are two-dimensional, which means that they are consistent with two components of sustainability. These indices are distinguished by considering more than one aspect of sustainability, such as the "the number of existing and operational participatory guidelines", which is one of the highest scores for the institutional component (8.66). Six indexes are one-dimensional that satisfy a sustainability component. One-dimensional indices should not be recognized as a constraint as a feature because they are interesting tools that are from the angle specific aspects taking into account the different aspects of water consumption and management. An interesting example is the nitrate and the nitrite index in groundwater. This is a very relevant index of the environmental quality of water and, in fact, it has obtained a very high score for the environmental components (8.88). The index with the highest average score (7.8) was the "Relative water stress" index, which measures water withdrawal of drinking, industrial, and agricultural sectors relative to water reserves. The "Relative water stress", along with the "dependency ratio to adjacent basins" and the "index of non-sustainable water use", were the only indices that were consistent with all the four dimensions of sustainability. In the main text of the article, the list of the indices is given.