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Journal articles on the topic 'Zayandehrud'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Varnosfaderany, M. Nemati, N. Mirghaffary, E. Ebrahimi, and A. Soffianian. "Water quality assessment in an arid region using a water quality index." Water Science and Technology 60, no. 9 (2009): 2319–27. http://dx.doi.org/10.2166/wst.2009.669.

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Water quality of the Zayandehrud River, located in an arid region of central part of Iran, was assessed using National Sanitation Foundation Water Quality Index (NSF WQI) calculated by four aggregation methods. Water samples were collected monthly (July 2006 to June 2007) from eight stations in the middle of the river. The parameters required for the NSF WQI calculations including saturation percent of dissolved oxygen, biochemical oxygen demand, fecal coliforms, pH, nitrate, total phosphate, temperature deviation, total dissolved solids and turbidity were measured. According to WQIm which app

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2

Dorche, Eisa Ebrahimi, Mojgan Zare Shahraki, Omidvar Farhadian, and Yazdan Keivany. "Seasonal variations of plankton structure as bioindicators in Zayandehrud Dam Lake, Iran." Limnological Review 18, no. 4 (2018): 157–65. http://dx.doi.org/10.2478/limre-2018-0017.

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AbstractZayandehrud Dam Lake located in Isfahan province is the largest lake in central Iran. In this study, the plankton communities including phytoplankton and zooplankton were studied as bioindicator organisms for assessment of water quality in the Zayandehrud Dam Lake. The water and phytoplankton organisms were collected from four stations at different seasons during 2014 by using a Nansen bottle sampler. The zooplankton samples were collected with a plankton net (mesh size = 50 µm). The phytoplankton community was composed of Bacillariophyceae, Cyanophyceae, Euglenophyceae, Dinophyceae an

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3

Javahery-Tehrani, M., S. F. Mousavi, and Kh Hosseini. "Morphologic Study of Meandering Rivers Under Controlled Flow Using RS and GIS Techniques (Case study: Zayandehrud River at the downstream of Zayandehrud dam)." Journal of Water and Soil Science 20, no. 77 (2016): 25–44. http://dx.doi.org/10.18869/acadpub.jstnar.20.77.25.

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4

Javadinejad, Safieh. "Causes and consequences of floods: flash floods, urban floods, river floods and coastal floods." Resources Environment and Information Engineering 4, no. 1 (2022): 156–66. http://dx.doi.org/10.25082/reie.2022.01.002.

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Undoubtedly, the flood is known as a natural disaster. But in practice, the flood is considered the most terrible natural disaster in terms of mortality and financial losses. In this regard, a worrying trend is the increasing trend of mortality and flood damage in the world in recent decades. The increase in population and assets in the floodplain the changes in hydro systems and the destructive effects of human activities have been a major cause of this trend. In this chapter, due to the importance of this natural phenomenon in the ZayandehRud basin, the general study of flood and its effecti

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5

Salarian, Mohammad, Masumeh Najafi, S. Vahid Hosseini, and Mohammad Heydari. "Classification of Zayandehrud River Basin Water Quality Regarding Agriculture, Drinking, and Industrial Usage." American Research Journal of Civil and Structural Engineering 1, no. 1 (2015): 9. https://doi.org/10.5281/zenodo.18255.

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Iran is located in arid and semi-arid of the world and it has shortage of freshwater resources. So, to review the status of water use and protection of water resources against pollution, especially in the global water crisis is necessary and vital. Zayandehrud River as the largest river of the central plateau of Iran and the most important surface water flow in Isfahan province, which preserving its quality is important because of agriculture-environmental, industry and drinking. In this regard, the assessment of the quality of the 15 stations in the Zayandehrud river basin has been done by us

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6

Ghafouri, Zaniar, Yazdan Keivany, and Nasrollah M. Soofiani. "Reproductive biology of Aphanius isfahanensis in the Zayandehrud River, central Iran." Environmental Biology of Fishes 102, no. 1 (2018): 19–25. http://dx.doi.org/10.1007/s10641-018-0833-0.

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7

Reza, Yazdani Mohammad, Khoshhal Dastjerdi Javad, Mahdavi Mohammad, and Sharma Ashish. "Trend Detection of the Rainfall and Air Temperature Data in the Zayandehrud Basin." Journal of Applied Sciences 11, no. 12 (2011): 2125–34. http://dx.doi.org/10.3923/jas.2011.2125.2134.

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8

Safaei, Morteza, Hamid R. Safavi, Daniel Peter Loucks, Azadeh Ahmadi, and Wil van der Krogt. "Integrated river basin planning and management: a case study of the Zayandehrud River basin, Iran." Water International 38, no. 6 (2013): 724–43. http://dx.doi.org/10.1080/02508060.2013.823815.

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9

Zarei Darki, B., L. Zarei Darki, H. R. Akkafi, and M. Mirzai. "Taxonomic composition of algae and its indicator role in the ecosystem of the Zayandehrud River, Iran." Inland Water Biology 6, no. 4 (2013): 285–93. http://dx.doi.org/10.1134/s1995082913050027.

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10

Safavi, Hamid R., Mohammad H. Golmohammadi, and Samuel Sandoval-Solis. "Expert knowledge based modeling for integrated water resources planning and management in the Zayandehrud River Basin." Journal of Hydrology 528 (September 2015): 773–89. http://dx.doi.org/10.1016/j.jhydrol.2015.07.014.

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11

Safavi, Hamid R., Mohammad H. Golmohammadi, and Samuel Sandoval-Solis. "Scenario analysis for integrated water resources planning and management under uncertainty in the Zayandehrud river basin." Journal of Hydrology 539 (August 2016): 625–39. http://dx.doi.org/10.1016/j.jhydrol.2016.05.073.

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12

Safavi, Hamid R., Vahid Raghibi, Omid Mazdiyasni, and Mohammad Mortazavi-Naeini. "A new hybrid drought-monitoring framework based on nonparametric standardized indicators." Hydrology Research 49, no. 1 (2017): 222–36. http://dx.doi.org/10.2166/nh.2017.266.

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Abstract A drought is a multi-dimensional event characterized by changes in the atmospheric and land conditions. Hence, monitoring a single drought indicator may be insufficient for water management. The hybrid drought index (HDI) is presented as a nonparametric composite indicator for monitoring multiple components of the hydrologic cycle. The properties of the HDI can be summarized as follows: (1) HDI describes drought indicated from either climatic anomalies or available water (AW); (2) HDI describes the drought onset as early as a decrease appears in climatic variables, while it shows drou

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13

Khajeh, S., Sh Paimozd, and M. Moghaddasi. "Assessing the Impact of Climate Changes on Hydrological Drought Based on Reservoir Performance Indices (Case Study: ZayandehRud River Basin, Iran)." Water Resources Management 31, no. 9 (2017): 2595–610. http://dx.doi.org/10.1007/s11269-017-1642-5.

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14

Varnosfaderany, Mohammad Nemati, Alireza Soffianian, Nourollah Mirghaffari, Zhaoyan Gu, and Guoqiang Chu. "Occurrence and depositional history of organochlorine pesticides in the sediments of the Zayandehrud River in the arid region of Central Iran." Chemosphere 255 (September 2020): 126847. http://dx.doi.org/10.1016/j.chemosphere.2020.126847.

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15

Modarres, R. "Multi-criteria validation of artificial neural network rainfall-runoff modeling." Hydrology and Earth System Sciences Discussions 5, no. 6 (2008): 3449–77. http://dx.doi.org/10.5194/hessd-5-3449-2008.

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Abstract. In this study we propose a comprehensive multi-criteria validation test for rainfall-runoff modeling by artificial neural networks. This study applies 17 global statistics and 3 additional non-parametric tests to evaluate the ANNs. The weakness of global statistics for validation of ANN is demonstrated by rainfall-runoff modeling of the Plasjan Basin in the western region of the Zayandehrud watershed, Iran. Although the global statistics showed that the multi layer perceptron with 4 hidden layers (MLP4) is the best ANN for the basin comparing with other MLP networks and empirical reg

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16

Modarres, R. "Multi-criteria validation of artificial neural network rainfall-runoff modeling." Hydrology and Earth System Sciences 13, no. 3 (2009): 411–21. http://dx.doi.org/10.5194/hess-13-411-2009.

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Abstract. In this study we propose a comprehensive multi-criteria validation test for rainfall-runoff modeling by artificial neural networks. This study applies 17 global statistics and 3 additional non-parametric tests to evaluate the ANNs. The weakness of global statistics for validation of ANN is demonstrated by rainfall-runoff modeling of the Plasjan Basin in the western region of the Zayandehrud watershed, Iran. Although the global statistics showed that the multi layer perceptron with 4 hidden layers (MLP4) is the best ANN for the basin comparing with other MLP networks and empirical reg

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17

Kamran, Sahar, Hamid R. Safavi, Mohammad H. Golmohammadi, et al. "Maximizing Sustainability in Reservoir Operation under Climate Change Using a Novel Adaptive Accelerated Gravitational Search Algorithm." Water 14, no. 6 (2022): 905. http://dx.doi.org/10.3390/w14060905.

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Holding a lasting balance between the water resources and water demands has become a challenging task for water resources managers, especially in recent years with the looming global warming crisis and its resulting climatic change effects. This paper focuses on modeling the optimized operation of the Zayandehrud Reservoir, located in west-central Iran, under two fifth-generation climate change scenarios called RCP4.5 and RCP8.5. A novel variant of the gravitational search algorithm (GSA), named the adaptive accelerated GSA (AAGSA) is proposed and adopted as the optimizer of the reservoir oper

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18

Zahraei, Ali, Saeid Eslamian, Sara Saadati, et al. "Spatial-Temporal Analysis of Temperature Trend and its Possible Effects on Water Resources and Water Uses in Climatic Zones of Iran's Zayandehrud River Basin." American Journal of Engineering and Applied Sciences 12, no. 2 (2019): 290–308. http://dx.doi.org/10.3844/ajeassp.2019.290.308.

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19

Abbasi, Neda, Hamideh Nouri, Kamel Didan, et al. "Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area." Remote Sensing 13, no. 24 (2021): 5167. http://dx.doi.org/10.3390/rs13245167.

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Advances in estimating actual evapotranspiration (ETa) with remote sensing (RS) have contributed to improving hydrological, agricultural, and climatological studies. In this study, we evaluated the applicability of Vegetation-Index (VI) -based ETa (ET-VI) for mapping and monitoring drought in arid agricultural systems in a region where a lack of ground data hampers ETa work. To map ETa (2000–2019), ET-VIs were translated and localized using Landsat-derived 3- and 2-band Enhanced Vegetation Indices (EVI and EVI2) over croplands in the Zayandehrud River Basin (ZRB) in Iran. Since EVI and EVI2 we

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20

Abbasi, Neda, Hamideh Nouri, Kamel Didan, et al. "Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform." Remote Sensing 15, no. 4 (2023): 1017. http://dx.doi.org/10.3390/rs15041017.

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Precise knowledge of crop water consumption is essential to better manage agricultural water use, particularly in regions where most countries struggle with increasing water and food insecurity. Approaches such as cloud computing and remote sensing (RS) have facilitated access, process, and visualization of big geospatial data to map and monitor crop water requirements. To find the most reliable Vegetation Index (VI)-based evapotranspiration (ETa) for croplands in drylands, we modeled and mapped ETa using empirical RS methods across the Zayandehrud river basin in Iran for two decades (2000–201

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21

Ebrahimi Dastgerdi, H., E. Ebrahimi, and S. Fakheran. "Impacts of Zayandehroud Dam on the Macro-benthic Invertebrate and Water Quality of Zayandehroud River using BMWP and ASPT Biological Indices." Iranian Journal of Applied Ecology 6, no. 2 (2017): 55–67. http://dx.doi.org/10.18869/acadpub.ijae.6.2.55.

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22

Gharighoran, Alireza, and Farhad Daneshjoo. "Steel Bridge SHM in Isfahan: Bridge Over Zayandehrod River." IABSE Symposium Report 97, no. 5 (2010): 25–32. http://dx.doi.org/10.2749/222137810796063922.

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23

Amini, Saeedeh, and Narges Azari. "Drought of Zayandehroud: The Context of a Collective Action." Social Problems 14, no. 2 (2023): 9–42. http://dx.doi.org/10.61186/jspi.14.2.9.

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24

H. Karami, Gholam, Farid Fazileh, and Rassoul Ajalloeian. "AN APPLIED METHOD FOR ESTIMATING THE AMOUNT OF WATER EXCHANGE BETWEEN THE SEASONAL RIVERS AND AQUIFER, CASE STUDY: ZAYANDEHROUD RIVER IN THE CITY OF ISFAHAN." EPH - International Journal of Science And Engineering 4, no. 2 (2018): 40–46. http://dx.doi.org/10.53555/eijse.v4i2.170.

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In most cases, the rivers that flow in the alluvial aquifers are hydraulically connected to them. So, in such areas, it is essential to determine the relationship between the river and the aquifer. In this study, hydraulic connection between alluvial aquifer of Isfahan city and Zayandehroud River are evaluated. The main recharge source of this alluvial aquifer is Zayandehroud River. In recent years from March to November, due to the shortage of water and consumption of whole of the river flow rate in the upstream of the Isfahan city, the flow to the Isfahan region is disconnected. Therefore, t

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25

Khiadani (Hajian), Mehdi, AhmadReza Rahsepar, and MohammadMehdi Amin. "Measurement and simulation of dissolved oxygen in Zayandehrood river." International Journal of Environmental Health Engineering 1, no. 1 (2012): 41. http://dx.doi.org/10.4103/2277-9183.102376.

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26

Mirmohammad Sadeghi, M., B. Ebrahimi, and M. Pasandi. "Groundwater Depletion and Stream-Aquifer Interaction (Case Study: The Najafabad Aquifer in Zayandehroud River Basin)." Journal of Water and Soil Science 22, no. 2 (2018): 107–25. http://dx.doi.org/10.29252/jstnar.22.2.107.

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27

Nakhaei, Nader, and Amir Etemad-Shahidi. "Applying Monte Carlo and classification tree sensitivity analysis to the Zayandehrood River." Journal of Hydroinformatics 14, no. 1 (2011): 236–50. http://dx.doi.org/10.2166/hydro.2011.094.

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Water quality modeling is an important issue for both engineers and scientists. The QUAL2K model is a simulation tool that has been used widely for this purpose. Uncertainty and sensitivity analysis is a major step in water quality modeling. This article reports application of Monte Carlo analysis and classification tree sensitivity analysis in the modeling of the Zayandehrood River. First the model was calibrated and validated using two sets of data. Then, three input values (stream flow, roughness and decay rate) were considered for both analyses. The Monte Carlo analysis was conducted using

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28

Karami, Omid, Saeed Yazdani, Iraj Saleh, Hamed Rafiee, and Andisheh Riahi. "A comparison of Zayandehrood River water values for agriculture and the environment." River Research and Applications 36, no. 7 (2020): 1279–85. http://dx.doi.org/10.1002/rra.3627.

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29

Aghapour Sabbaghi, Mohammad, Mohammadreza Nazari, Shahab Araghinejad, and Saeid Soufizadeh. "Economic impacts of climate change on water resources and agriculture in Zayandehroud river basin in Iran." Agricultural Water Management 241 (November 2020): 106323. http://dx.doi.org/10.1016/j.agwat.2020.106323.

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30

Mehrparvar, M., and K. Asghari. "Modular optimized data assimilation and support vector machine for hydrologic modeling." Journal of Hydroinformatics 20, no. 3 (2018): 728–38. http://dx.doi.org/10.2166/hydro.2018.009.

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Abstract Accurate and reliable simulation models are crucial for the operation and management of systems. Developing a simulation model to forecast future states of a system is generally followed by errors in prediction. Frequently, data-based models such as support vector machines (SVM) are used as forecasting techniques. This paper introduces a modular method which couples the machine learning technique of support vector regression (SVR) as a prediction model and a modified data assimilation (MDA) technique to partially correct the predicted values based on the observation data. To improve t

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31

Bateni, Fatemeh, Sima Fakheran, and Alireza Soffianian. "Assessment of land cover changes & water quality changes in the Zayandehroud River Basin between 1997–2008." Environmental Monitoring and Assessment 185, no. 12 (2013): 10511–19. http://dx.doi.org/10.1007/s10661-013-3348-3.

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32

Rezaei, Farshad, Hamid R. Safavi, and Azadeh Ahmadi. "Groundwater Vulnerability Assessment Using Fuzzy Logic: A Case Study in the Zayandehrood Aquifers, Iran." Environmental Management 51, no. 1 (2012): 267–77. http://dx.doi.org/10.1007/s00267-012-9960-0.

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33

Safavi, Hamid R., Mehrdad Khoshoei Esfahani, and Ahmad R. Zamani. "Integrated Index for Assessment of Vulnerability to Drought, Case Study: Zayandehrood River Basin, Iran." Water Resources Management 28, no. 6 (2014): 1671–88. http://dx.doi.org/10.1007/s11269-014-0576-4.

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34

Eslamian, S. Saeid, and Hussein Feizi. "Maximum Monthly Rainfall Analysis Using L-Moments for an Arid Region in Isfahan Province, Iran." Journal of Applied Meteorology and Climatology 46, no. 4 (2007): 494–503. http://dx.doi.org/10.1175/jam2465.1.

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Abstract Developing methods that can give a suitable prediction of hydrologic events is always interesting for both hydrologists and statisticians, because of its importance in designing hydraulic structures and water resource management. Because of the computer revolution in statistical computation and lack of robustness in at-site frequency analysis, since early 1990 the application of regional frequency analysis based on L-moments has been considered more for flood analysis. In this study, the above-mentioned method has been used for the selection of parent distributions to fit maximum mont

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35

Ahmadi, Azadeh, Sayed Ali Ohab-Yazdi, Nima Zadehvakili, and Hamid Reza Safavi. "A dynamic model of water resources management using the scenario analysis technique in downstream of the Zayandehroud basin." International Journal of River Basin Management 17, no. 4 (2018): 451–63. http://dx.doi.org/10.1080/15715124.2018.1505734.

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36

Mehrparvar, Milad, Azadeh Ahmadi, and Hamid Reza Safavi. "Resolving water allocation conflicts using WEAP simulation model and non-cooperative game theory." SIMULATION 96, no. 1 (2019): 17–30. http://dx.doi.org/10.1177/0037549719844827.

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Disparity in water supply and demand often leads to conflicts among users over water resources in basins. Game theory is a new tool recently employed for resolving such conflicts. The present study uses non-cooperative games to resolve the conflicts in the Zayandehroud basin. The games are simulated between two stakeholders by the graph model conflict resolution (GMCR) method as one of the non-cooperative methods. The stakeholders are Isfahan Regional Water Company (IRWC) and Agriculture-Jahad Organization (AJO). Stakeholders can execute some strategies competitively, which include A: developi

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37

Mahdi, Moudi. "Enhancing Disparity in Water Distribution within Irrigation Systems Aimed at Improving the Conflict Domain under Alternative Perspectives: A Reliable Multi-Objective Framework." Agriculture 14, no. 8 (2024): 1316. http://dx.doi.org/10.3390/agriculture14081316.

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In general, decision makers in irrigation systems prioritize the cultivation of diverse crops to ensure sufficient food supply and maximize economic profit, while overlooking ecological resilience. This study proposes a novel reliable multi-objective framework designed to minimize disparities in water distribution between multi-crops, thereby addressing conflicts related to irrigation timing and distribution space. To assess the feasibility of the proposed model, a reliability evaluation technique is employed to examine the conflict ratio of the water distribution policy corresponding to const

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38

Babaei, Mohammad, Ramtin Moeini, and Eghbal Ehsanzadeh. "Artificial Neural Network and Support Vector Machine Models for Inflow Prediction of Dam Reservoir (Case Study: Zayandehroud Dam Reservoir)." Water Resources Management 33, no. 6 (2019): 2203–18. http://dx.doi.org/10.1007/s11269-019-02252-5.

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39

Yazdanpanah, Hojjatollah, Hamid Barghi, and Arezoo Esmaili. "Effect of climate change impact on tourism: A study on climate comfort of Zayandehroud River route from 2014 to 2039." Tourism Management Perspectives 17 (January 2016): 82–89. http://dx.doi.org/10.1016/j.tmp.2015.12.002.

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40

Mohaghegh, Faezeh, masoud taghvaei, and Negin sadeghy. "Explaining Socio-cultural Factors Affecting Creative Tourism From the Tourists’ Perspective: A Case Study of Zayandehrood Visitors." Social Studies in Tourism 11, no. 21 (2023): 69–94. http://dx.doi.org/10.52547/journalitor.36220.11.21.69.

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41

Dastjerdi, MarziehVahid, AsadolahZahab Sanee, MohammadReza Shahmansouri, and Saeed Shanbehzadeh. "Effect of industrial wastewater effluent containing heavy metals and phosphate on the bed soil of the zayandehrood river." International Journal of Environmental Health Engineering 2, no. 1 (2013): 2. http://dx.doi.org/10.4103/2277-9183.106634.

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42

Mirzaei, Mojgan, Eisa Solgi, and Abdolrassoul Salman Mahiny. "Modeling of Non-Point Source Pollution by Long-Term Hydrologic Impact Assessment (L-THIA) (Case Study: Zayandehrood Watershed) in 2015‎." Archives of Hygiene Sciences 6, no. 2 (2017): 196–205. http://dx.doi.org/10.29252/archhygsci.6.2.196.

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43

Hemmat Jou, Mohammad Hossein, Davood Namdar Khojasteh, and Ali Asghar Besalatpour. "Land use planning based on soil and water assessment tool model in a mountainous watershed to reduce runoff and sediment load." Canadian Journal of Soil Science 99, no. 3 (2019): 305–20. http://dx.doi.org/10.1139/cjss-2018-0109.

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Soil erosion is a major environmental threat to the sustainability and productive capacity of soils. This study aimed to identify optimal land use types for Zayandehrood watershed in central Iran for the first time which is large and mountainous to minimize runoff production and soil loss. Two different types of land use data for two scenarios were developed using soil and water assessment tool (SWAT) in combination with Sequential Uncertainty Fitting Program (SUFI-2) at the subbasin level with uncertainty analysis to explicitly quantify hydrological components on a daily time step. In the fir

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44

Ohab-Yazdi, Sayed Ali, and Azadeh Ahmadi. "Using the agent-based model to simulate and evaluate the interaction effects of agent behaviors on groundwater resources, a case study of a sub-basin in the Zayandehroud River basin." Simulation Modelling Practice and Theory 87 (September 2018): 274–92. http://dx.doi.org/10.1016/j.simpat.2018.07.003.

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45

Dorafshan, Mohammad Mahdi, Mohammad Hossein Golmohammadi, Carlo De Michele, and Saeid Eslamian. "Risk analysis of inflow to the Zayandehrud Dam under historical and future scenarios using reliability, resiliency, and vulnerability indicators: a comparative study of the runoff risk index and runoff risk ranking methods." Water Reuse, December 13, 2024. https://doi.org/10.2166/wrd.2024.070.

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ABSTRACT Climate change disrupts water cycles, impacting arid regions’ water resources. This study aims to evaluate and rank the risk related to the availability of inflow to the Zayandehrud dam, Isfahan, Iran, under historical and future periods by using reliability, resiliency, and vulnerability criteria. Evaluation and ranking of runoff risk in the upstream Zayandehrud Dam Basin was done using methods based on the runoff risk index (viz., the weighted addition method and the multiplication method) and methods based on the runoff risk ranking (viz., Technique for Order of Preference by Simil

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46

"Classification of Zayandehrud River Basin Water Quality Regarding Agriculture, Drinking, and Industrial Usage." American Research Journal of Civil and Structural Engineering, 2017. http://dx.doi.org/10.21694/2577-5944.17005.

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47

ABBASI, MOHAMMAD REZA. "Catch composition, length frequency and biomass of commercial carps in Zayandehrud dam, Isfahan Province, Iran." Biodiversitas, Journal of Biological Diversity 18, no. 3 (2017). http://dx.doi.org/10.13057/biodiv/d180310.

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48

"Determination of the Boundaries of Zayandehrud River Bed Using Arc GIS, HEC-RAS and Hec-GeoRAS Extension." Journal of Water and Soil Science 23, no. 4 (2019). http://dx.doi.org/10.47176/jwss.23.4.49820.

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49

Babadi, Masoud, Siavash Iran Pour, Ribana Roscher, Alireza Amiri-Simkooei, and Hamed Karimi. "Long-term drought monitoring of the Zayandehrud River basin (central Iran) using hydroclimatological models and satellite observations." Journal of Applied Remote Sensing 16, no. 01 (2022). http://dx.doi.org/10.1117/1.jrs.16.014504.

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50

"Investigating the Chaotic Nature of Flow the Upstream and Downstream of Zayandehrud-Dam Reservoir Using Chaotic Systems’ Criteria." Journal of Water and Soil Science 23, no. 4 (2019). http://dx.doi.org/10.47176/jwss.23.4.37381.

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