Development of a location-based solution for flood risk analysis and reducing its effects in agriculture (case study: Neka Roud)

Journal of Radar and Optical Remote Sensing and GIS

مقاله 4، دوره 5، شماره 4، اسفند 2022، صفحه 54-73   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.30495/jrors.2023.1989726.1191

نویسندگان

Rogheyeh Kamali Kefrati¹؛ Hossein Aghamohammadi^{* 2}؛ Saeed Behzadi³

¹Faculty of Environment, Research Sciences, Islamic Azad university, Tehran, Iran

²Assistant Professor, Department of Remote Sensing and GIS, Research Science, Tehran Branch, Islamic Azad University, Tehran, Iran

³Assistant Professor, Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Lavizan, Tehran, Iran

چکیده

Floods are among the most devastating and widespread natural disasters, resulting in loss of life and significant financial damage. Therefore, flood control poses a significant challenge worldwide, including in our country. One effective approach to mitigating this risk is through the implementation of zoning strategies. Consequently, the objective of this study is to conduct a spatial analysis of flooding in the Nekarud region. For this research, a 2-kilometer stretch along the downstream section of the Nekarud River, near Neka city, was selected. Spatial data, including geographical maps and reference land information, were utilized and processed to facilitate the analysis. The study focused on simulating flood-prone areas along the main route for return periods of 10, 25, 50, 100, 200, and 500 years. The resulting flood map illustrates the spatial extent of potential flooding under different scenarios. The study employed elevation data at a scale of 1:1000, as well as river discharge data specific to the study area, to construct a base map. In a GIS environment, topographic data was extracted and used to generate a triangulated irregular network (TIN). Additionally, by utilizing a database that incorporates information on agricultural land use and flood zoning within the study area, the researchers calculated the extent of damage caused by flooding. Based on the land use map within the GIS environment, the study estimated that, during different return periods, the affected land area within the study region would measure 144.17 hectares, 175.14 hectares, 182.56 hectares, 190.14 hectares, 193.97 hectares, and 198.298 hectares, respectively.

کلیدواژه‌ها

flood؛ Nekarud؛ GIS؛ use؛ TIN

مراجع

Ali, A. (2018). Flood inundation modeling and hazard mapping under uncertainty in the Sungai Johor Basin. Malaysia: CRC Press .

Behzadi, S., & Alesheikh, A. A. (2008). A Pseudo Genetic Algorithm for solving best path problem. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3(1).

Behzadi, S., & Alesheikh, A. A. (2014). Cellular Automata vs. Object-Automata in Traffic Simulation. International Journal of Remote Sensing Applications, 4(1), 61-69. doi:10.14355/ijrsa.2014.0401.07

Behzadi, S., & Jalilzadeh, A. (2020). Introducing a Novel Digital Elevation Model Using Artificial Neural Network Algorithm. Civil Engineering Dimension, 22(2), 47-51.

Behzadi, S., Mousavi, Z., & Norouzi, E. (2019). Mapping Historical Water-Supply Qanat Based On Fuzzy Method. An Application to the Isfahan Qanat (Isfahan, Iran). International Journal of Numerical Methods in Civil Engineering, 3(4), 24-32.

Chatrsimab, Z., Alesheikh, A., Voosoghi, B., Behzadi, S., & Modiri, M. (2021). Investigating the effect of aquifer type and groundwater level drop on subsidence rate using radar interference technique and field data (Case study: Tehran-Karaj-Shahriar aquifer area). Advanced Applied Geology, 10(4), 683-689.

Chatrsimab, Z., Alesheikh, A. A., Voosoghi, B., Behzadi, S., & Modiri, M. (2020). Development of a Land Subsidence Forecasting Model Using Small Baseline Subset—Differential Synthetic Aperture Radar Interferometry and Particle Swarm Optimization—Random Forest (Case Study: Tehran-Karaj-Shahriyar Aquifer, Iran). Paper presented at the Doklady Earth Sciences.

Darzi, P., faithful, Rugby, & Rasul, M. (2021). Flood Risk Zoning Using HEC-RAS and Arc GIS Hydraulic Model (Case Study: Kileh Spring Watershed, Tonkabon City). Natural Environment Hazards, 10(28), 15-28.

De Groeve, T., Kugler, Z., & Brakenridge, G. R. (2007). Near real time flood alerting for the global disaster alert and coordination system. Proceedings of the ISCRAM, 33-39.

Ebrahimi, P., Soleimani, K., & Shahidi, K. (2016). Developing a strategic environmental planning plan based on land use changes and flood zones, case study: Nekarood. Geography and Regional Urban Planning, 6(20), 57-74.

Fisher, A., Flood, N., & Danaher, T. (2016). Comparing Landsat water index methods for automated water classification in eastern Australia. Remote Sensing of Environment, 175, 167-182.

Golshan, M., Jahanshahi, A., & Afzali, A. (2016). Flood hazard zoning using HEC-RAS in GIS environment and impact of manning roughness coefficient changes on flood zones in Semi-arid climate. Desert, 21(1), 24-34.

Haidari, F., Mohammadshahi, M., Haghighizadeh, M.-H., & Khoramabadi, Z. (2018). Relationship between quality of life and healthy eating index among healthy nurses in ahvaz, Southwest Iran. Research Journal of Pharmacy and Technology, 11(6), 2183-2190.

Jafarian, H., & Behzadi, S. (2020). Evaluation of PM2. 5 emissions in Tehran by means of remote sensing and regression models. Pollution, 6(3), 521-529.

Jalilzadeh, A., & Behzadi, S. (2019). Machine learning method for predicting the depth of shallow lakes using multi-band remote sensing images. Journal of Soft Computing in Civil Engineering, 3(2), 54-64

Jalilzadeh, A., & Behzadi, S. (2020). Flood Mapping and Estimation of Flood Water-Level Using Fuzzy Method and Remote Sensing Imagery (Case Study: Golestan Province, Iran). Paper presented at the Forum Geografic.

Karimi, P., Safaval, P. A., Behzadi, S., Azizi, Z., Zarkash, M. M. K., & Kalashami, H. K. (2022). Flood Risk Zoning Using Geographical Information System Case Study: Khorramabad Flood in April 2019. Acta hydrotechnica, 35(63), 89-100.

Khaledi, S., & Behzadi, S. (2020). Monitoring and Assessing the Changes in the Coverage and Decline of Oak Forests in Lorestan Province using Satellite Images and BFAST Model. Journal of Applied researches in Geographical Sciences, 20(57), 265-280.

Mahjoobi, M., & Behzadi, S. (2022). Solar desalination site selection on the Caspian Sea coast using AHP and fuzzy logic methods. Modeling Earth Systems and Environment, 1-9

Mohseni, O. (2004). Review of Existing Hydrologic Studies of the Vermillion River Watershed.

Mohseni, O., Spitael, M., & Stefan, H. (2005). Stilling Basin Hydraulic Model Study.

Molo, Z., Tel-Çayan, G., Deveci, E., Öztürk, M., & Duru, M. E. (2021). Insight into isolation and characterization of compounds of Chaerophyllum bulbosum aerial part with antioxidant, anticholinesterase, anti-urease, anti-tyrosinase, and anti-diabetic activities. Food Bioscience, 42, 101201.

Mousavi, Z., & Behzadi, S. (2019a). Geo-Portal Implementation with a Combined Approach of AHP and SWOT. International Journal of Natural Sciences Research, 7(1), 23-31.  Retrieved from http://www.pakinsight.com/archive/63/01-2019/1

Mousavi, Z., & Behzadi, S. (2019b). Introducing an Appropriate Geoportal Structure for Managing Wildlife Location Data. International Journal of Natural Sciences Research, 7(1), 32-48.  Retrieved from http://www.pakinsight.com/archive/63/01-2019/1

Neumayer, E., Plümper, T., & Barthel, F. (2014). The political economy of natural disaster damage. Global Environmental Change, 24, 8-19.

Norouzi, E., & Behzadi, S. (2019). Evaluating machine learning methods and satellite images to estimate combined climatic indices. International Journal of Numerical Methods in Civil Engineering, 4(1), 30-38.

Norouzi, E., & Behzadi, S. (2021). The Feasibility of Machine-learning Methods to Extract the Surface Evaporation Quantity using Satellite Imagery. Journal of Electrical and Computer Engineering Innovations (JECEI), 9(2), 229-238.

Ogras, S., & Onen, F. (2020). Flood analysis with HEC-RAS: a case study of Tigris River. Advances in Civil Engineering, 2020, 1-13.

Pasha, A., Sorbi, A., & Behzadi, S. (2018). Landslide risk assessment in Qazvin-Rasht quadrangle zone (North of Iran). Scientific Quarterly Journal of Geosciences, 27(106), 89-98.

Rod, faithful, & Fard, G. A. (2018). Flood zoning using HEC-RAS hydraulic model in the downstream of Khorram Abad watershed. Natural Environment Hazards, 7(16), 211-226.

Roostaei, S., Eftekhar, H., Karami, F., & Neghaban, S. (2022). Garlic cybernetics urban watershed basins flood coefficient using the normal distribution model (Case study: watershed of Shiraz). Quantitative Geomorphological Research, 11(3), 23-38.

Shiravand, H., Khaledi, S., & Behzadi, S. (2019). Evaluation and Prediction of Decline of Oak Forests in Middle Zagros (Lorestan Section) with a Climate Change Approach. Iranian Journal of Forest and Range Protection Research, 17(1), 64-81.

Veja-Serratos, B. E., Domínguez-Mora, R., & Posada-Vanegas, G. (2018). Seasonal flood risk assessment in agricultural areas. Tecnología y ciencias del agua, 9(3), 92-127.