SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANNING

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VELAIATI SAADOLLAH; JAHANI MEHDI; RAMESH AZADEH

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Journal: JOURNAL OF GEOGRAPHICAL SCIENCES Year:2005 | Volume:4 | Issue:5 Page(s): 69-88

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Title

SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANNING

Author(s)

VELAIATI SAADOLLAH | JAHANI MEHDI | RAMESH AZADEH | Issue Writer Certificate

Keywords

RISK MANAGEMENTQ2

FLOODQ2

TIME SERIESQ2

MODELINGQ2

WATERSHEDQ4

Abstract

By occurrence of climate change phenomenon and increasing of human’ s interference on global climate, two natural disasters mamely drought and FLOOD have effected on different parts of the earth. In the recent years, our country was alternatively witness in occurring of FLOODs and sever droughts in most of places, specially twice occurring of these natural disasters, improve each other as because of severe droughts, vegetative coverage and humidity of soil are spoiled that is facilitation agent for flowing destructive FLOODs. On the other hand, occuring of severe FLOODs have destroyed agricultural lands and lynching fertile soils and has amplified the effective of drought in these places. In a WATERSHED which has high submergible potential, with an alternative and correct management, we can reduce the effects and damages of FLOOD and use of it for increasing of water potential in this place, for example increasing of soil moisture and discharging of aquifer and increasing of water resources of lake of dams. For succession in these actions, an alternative and optimum FLOOD RISK MANAGEMENT in that WATERSHED is necessary. Kardeh WATERSHED is located near Mashhad, and is considered as a case study. The risk of flown FLOODs in this basin is modulated with three flowing types of statistical models: 1) probability Distribution Function, 2) Linear Regressive Model, 3) Auto Regressive Independent moving Average (ARIMA) Models. According the results of models testing, Probability Distribution Function couldn’t be able to model the FLOODs risk in basin. Regressive Model doesn’t offer acceptable responses because it obeys from one general trend. ARIMA TIME SERIES Models are tested in difference stages and finally, ARIMA (1, 2, 3) Model offer the best statistical fitness. According the conclusion from this research, by using of three statistical models, we can get a fit model for FLOOD RISK MANAGEMENT for (Kardeh) basin, that It is usable into practical and conclusion of this research is expansible and usable for the other similar WATERSHED basin.

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APA: Copy

VELAIATI, SAADOLLAH, JAHANI, MEHDI, & RAMESH, AZADEH. (2005). SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANNING. JOURNAL OF GEOGRAPHICAL SCIENCES, 4(5), 69-88. SID. https://sid.ir/paper/102426/en

Vancouver: Copy

VELAIATI SAADOLLAH, JAHANI MEHDI, RAMESH AZADEH. SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANNING. JOURNAL OF GEOGRAPHICAL SCIENCES[Internet]. 2005;4(5):69-88. Available from: https://sid.ir/paper/102426/en

IEEE: Copy

SAADOLLAH VELAIATI, MEHDI JAHANI, and AZADEH RAMESH, “SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANNING,” JOURNAL OF GEOGRAPHICAL SCIENCES, vol. 4, no. 5, pp. 69–88, 2005, [Online]. Available: https://sid.ir/paper/102426/en

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