Document Type : Research Paper
Authors
1 Water Eng. Department, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
2 Faculty Member, Water Engineering Department, Agricultural Eng. College, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
3 Mazandaran Regional Water Company Studies Office, Sari, Iran.
Abstract
Keywords
Main Subjects
EXTENDED ABSTRACT
Flood is one of the main known natural disasters in the world, which imposes a lot of damage on human societies, institutions, industrial centers and agricultural lands, especially in the vicinity of rivers, but the worrying point is the increasing trend of flood losses in the world in recent decades, which is mostly due to The reason is human intervention in nature and disrupting its balance. Among the usual methods for investigating floods include regional flood analysis methods, using empirical relationships and rainfall-runoff simulation models. The application of precipitation-runoff models as well as the development of calibration methods using GIS is increasingly expanding. In this research, in order to simulate rainfall-runoff and determine the outflow hydrograph of Tajen catchment under RCP 2.6 and RCP 8.5 scenarios, HEC-HMS model has been used. The HEC-HMS model represents the watershed as an interconnected system with hydrological and hydraulic components. Each component simulates an aspect of the rainfall-runoff process within a part of the catchment called a sub-catchment. Also, by entering the information related to the characteristics of the basin and its components, the simulation is done to transform precipitation into runoff and the runoff hydrograph is produced.
Tajan basin, with an approximate area of 4026.6 square meters, is located in the geographical range of 53 degrees 7 minutes to 53 degrees 42 minutes east longitude and 35 degrees 56 minutes to 36 degrees 17 minutes north latitude in Mazandaran province and in terms of divisions Politically, it is located in the territory of Sari city.
In the continuous simulation method, the soil is considered as a single layer and infiltration takes place when the soil is saturated. This method should be used in combination with a meteorological model that calculates evaporation and transpiration, so that, with the help of the meteorological model, the amount of potential evaporation and transpiration, which indicates the amount of soil drying between two rainfalls, is calculated. SCS unit hydrograph method was used to convert precipitation into runoff and drying method was used to simulate continuous events to simulate base flow. The drying method is used when a certain behavior is determined in the basin and the channel flow recedes exponentially after the precipitation event.
In this study, first the variables of precipitation and temperature were entered into the model, then the model parameters was calculated for different calibration statistical periods. The hydrographs generated from the scenarios of the adjusted model parameters were compared with the observed hydrographs of Kordkheil station. For continuous simulation, the period 2002 to 2009 was used for the calibration and 2010 to 2016 for the validation. After calibration and evaluation of the model, daily precipitation data of the basin average and average temperature in the period 2049-2020 were generated for the basin.
The results showed that the amount of discharge in the future period compared to the base period under both scenarios was a decrease in all months except May, June and July, and its increase in the mentioned three months is probably due to the increase in temperature and melting of snow in these months. In general, the simulation results showed that the amount of discharge in summer and autumn under the RCP 8.5 scenario will increase more than the RCP 2.6 scenario.
According to the results obtained and also the changes in climate variables that will occur in the future, it is suggested that the officials and planners of the agriculture, water resources, and environment, industry and economy sectors take the necessary solutions to reduce the consequences and adapt to new climate conditions.
Conceptualization, R.Fazloula. and E.Nikzad Tehrani.; methodology, F.Heidari Chenari. and R.Fazloula.; software, F.Heidari Chenari. and E.Nikzad Tehrani.; validation, F.Heidari Chenari., R.Fazloula. and E.Nikzad Tehrani.; formal analysis, F.Heidari Chenari.; investigation, F.Heidari Chenari.; resources, F.Heidari Chenari., R.Fazloula. and E.Nikzad Tehrani.; data curation, F.Heidari Chenari. and R.Fazloula.; writing—original draft preparation, F.Heidari Chenari., R.Fazloula. and E.Nikzad Tehrani.; writing—review and editing, F.Heidari Chenari., R.Fazloula. and E.Nikzad Tehrani.; visualization, F.Heidari Chenari.; supervision, R.Fazloula.; project administration, R.Fazloula.; funding acquisition, F.Heidari Chenari. and R.Fazloula. All authors have read and agreed to the published version of the manuscript.
Data available on request from the authors.
The authors would like to thank all participants of the present study.
The authors avoided data fabrication, falsification, plagiarism, and misconduct.
The author declares no conflict of interest.