Persian
Language
Geographical Research is Published in Persian Fulltext.
Volume 39, Issue 3 (2024)
GeoRes 2024, 39(3): 259-267 |
Back to browse issues page
Article Type:
Subject:
Research code: ART-1599
History
Received: 2024/03/13 | Accepted: 2024/06/28 | Published: 2024/07/15
Received: 2024/03/13 | Accepted: 2024/06/28 | Published: 2024/07/15
How to cite this article
Behrawan H, Sharifi F. Preparation and Integration of Maps and Digital Data Related to Water Capacities. GeoRes 2024; 39 (3) :259-267
URL: http://georesearch.ir/article-1-1599-en.html
URL: http://georesearch.ir/article-1-1599-en.html
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rights and permissions
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
1- Department of Soil Conservation and Watershed Management, East Azarbaijan Agricultural and Natural Resources Research and Education Center, Tabriz, Iran
2- Department of Hydrology and Water Resources Development, Soil Conservation and Watershed Management Research Institute, Tehran, Iran
2- Department of Hydrology and Water Resources Development, Soil Conservation and Watershed Management Research Institute, Tehran, Iran
Abstract (857 Views)
Aims: Knowledge of water capacities is one of the main components of decision-making for optimal use of resources, watersheds and prevention of damage from natural events such as flood and drought and simultaneous management of water supply and demand. In this study, extraction of physical parameters, conversion of rainfall point data into regional data, analysis of evaporation and transpiration data, and aggregation of data in a database in order to develop a spatial database, integration of water capacity maps were investigated.
Methodology: The current research is a quantitative study in Hamedan Province and analyzes different spatial and temporal data. Therefore, the preparation and integration of the water capacity map and data in the grade seven watersheds located in Hamadan province, which was located in the humid and semi-humid climate zone, was done using geological, physiographic, rainfall, evaporation and discharge information.
Findings: The maximum specific runoff in watershed No. 2235 is equal to 44.2 liters per second per square kilometer in May, and the lowest runoff in watershed No. 1327 is equal to 0.0 liters per second per square kilometer in August. The base flow index varies from 45.9 to 59.59, the maximum of which is related to watershed number 1327 and the minimum is related to watershed number 4122. The maximum snow line in April corresponds to watershed number 4122 at an altitude of 3954.7 meters and the minimum in February is 1363.2 meters in watershed number 1327.
Conclusion: Permeability has medium to good status. The runoff threshold of the study area is located in humid and semi-humid climate. The maximum snow line is in April and the minimum is in February. The snow retention line in this month is at the lowest height compared to other cold months of the year.
Methodology: The current research is a quantitative study in Hamedan Province and analyzes different spatial and temporal data. Therefore, the preparation and integration of the water capacity map and data in the grade seven watersheds located in Hamadan province, which was located in the humid and semi-humid climate zone, was done using geological, physiographic, rainfall, evaporation and discharge information.
Findings: The maximum specific runoff in watershed No. 2235 is equal to 44.2 liters per second per square kilometer in May, and the lowest runoff in watershed No. 1327 is equal to 0.0 liters per second per square kilometer in August. The base flow index varies from 45.9 to 59.59, the maximum of which is related to watershed number 1327 and the minimum is related to watershed number 4122. The maximum snow line in April corresponds to watershed number 4122 at an altitude of 3954.7 meters and the minimum in February is 1363.2 meters in watershed number 1327.
Conclusion: Permeability has medium to good status. The runoff threshold of the study area is located in humid and semi-humid climate. The maximum snow line is in April and the minimum is in February. The snow retention line in this month is at the lowest height compared to other cold months of the year.
Keywords:
References
1. Akhavan S, Shahverdi M, Zare Abianeh H (2018). Modeling spatial changes of blue water and green water (case study: Hamadan province). Proceedings of the 1st National Conference on Water Resource Management Strategies and Environmental Challenges, Sari. [Persian] [Link]
2. Alizadeh A, Keshavarz A (2005). Status of agricultural water use in Iran. In: Water conservation, reuse, and recycling: Proceedings of an Iranian-American workshop. Washington, D.C.: The National Academies Press. [Link]
3. Arnold JG, Muttiah RS, Srinivasan R, Allen PM (2000). Regional estimation of base flow and groundwater recharge in the Upper Mississippi river basin. Journal of Hydrology. 227(1-4):21-40. [Link] [DOI:10.1016/S0022-1694(99)00139-0]
4. Chiew FHS, Mcmahon TA (2003). El Niño/Southern Oscillation and Australian rainfall and streamflow. Australasian Journal of Water Resources. 6(2):115-129. [Link] [DOI:10.1080/13241583.2003.11465216]
5. Gleick P (2003). Global freshwater resources: Soft-path solutions for the 21st century. Science. 302(5650):1524-1528. [Link] [DOI:10.1126/science.1089967]
6. Hao G, Li J, Song L, Li H, Li Z (2018). Comparison between the TOPMODEL and the Xin'anjiang model and their application to rainfall runoff simulation in semi-humid regions. Environmental Earth Sciences. 77:279. [Link] [DOI:10.1007/s12665-018-7477-4]
7. Helsel DR, Hirsch RM, Ryberg KR, Archfield SA, Gilroy EJ (2002). Statistical methods in water resources. Reston: U.S. Geological Survey. [Link]
8. McMillan H, Montanari A, Cudennec C, Savenije H, Kreibich H, Krueger T, et al (2016). Panta Rhei 2013-2015: Global perspectives on hydrology, society and change. Hydrological Sciences Journal. 61(7):1174-1191. [Link] [DOI:10.1080/02626667.2016.1159308]
9. Mishra SK, Singh VP (2004). Long-term hydrological simulation based on the soil conservation service curve number. Hydrological Processes. 18(7):1291-1313. [Link] [DOI:10.1002/hyp.1344]
10. Mohammadi T, Dastoorani MT (2017). Assessment of basin stability using watershed stability index method. Hydrogeomorphology. 4(10):41-64. [Persian] [Link]
11. Pahl-Wostl C (2007). Transitions towards adaptive management of water facing climate and global change. Water Resources Management. 21(1):49-62. [Link] [DOI:10.1007/s11269-006-9040-4]
12. Rasooli M, Tahmasbi Pour N (2014). Investigation and importance of water resources management in Hamadan province (main basins). Proceedings of the National Conference on Climate Change and Sustainable Agriculture, Hamedan. [Persian] [Link]
13. Sheikh Gudarzi M, Jabarian Amiri B, Azarnivand H (2018). Investigating performance of the conceptual models in river hydrologic simulation. Journal of Natural Environment. 71(4):509-521. [Persian] [Link]
14. Shi P, Yang T, Xu CY, Yong B, Huang CS, Li Z, et al (2019). Rainfall-runoff processes and modelling in regions characterized by deficiency in soil water storage. Water. 11(9):1858. [Link] [DOI:10.3390/w11091858]
15. Simmers I (2003). Understanding water in a dry environment: Hydrological processes in arid and semi-arid zones. Cape Town: A.A. Balkema. [Link] [DOI:10.1201/9780203971307]
16. Smith RE, Smettem K, Broadbridge P, Woolhiser DA (2002). Infiltration theory for hydrologic applications. Washington, D.C.: American Geophysical :union:. [Link] [DOI:10.1029/WM015]
17. Tehrany M, Pradhan B, Jebur M (2013). Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. Journal of Hydrology. 504:69-79. [Link] [DOI:10.1016/j.jhydrol.2013.09.034]
18. Vörösmarty CJ, McIntyre PB, Gessner MO, Dudgeon D, Proussevitch A, Green P, et al (2010). Global threats to human water security and river biodiversity. Nature. 468:334. [Link] [DOI:10.1038/nature09549]
19. Wei W, Jia F, Yang L, Chen L, Zhang H, Yu Y (2014). Effects of surficial condition and rainfall intensity on runoff in a loess hilly area, China. Journal of Hydrology. 513:115-126. [Link] [DOI:10.1016/j.jhydrol.2014.03.022]
20. Wunderle S, Droz M, Kleindienst H (2002). Spatial and temporal analysis of the snow line in the Alps: Based on NOAA-AVHRR data. Geographica Helvetica. 57:170-183. [Link] [DOI:10.5194/gh-57-170-2002]
21. Yari A, Ardalan A, Ostadtaghizadeh A, Zarezadeh Y, Boubakran MS, Bidarpoor F, et al (2019). Underlying factors affecting death due to flood in Iran: A qualitative content analysis. International Journal of Disaster Risk Reduction. 40:101258. [Link] [DOI:10.1016/j.ijdrr.2019.101258]
22. Yazdani V, Behjati E, Arfa A (2015). Flood warning system established by the integrated management of hydrological and hydraulic modeling. Natural Ecosystems of Iran. 5(4):109-122. [Persian] [Link]
23. Zand M, Samai R (2017). Investigation on amount and intensity of rainfalls in flood generation in Khorramabad basin. Nivar. 41(96):1-8. [Persian] [Link]
24. Zhang X, Xu YP, Fu G (2014). Uncertainties in SWAT extreme flow simulation under climate change. Journal of Hydrology. 515:205-222. [Link] [DOI:10.1016/j.jhydrol.2014.04.064]