SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANING: A CASE STUDY KARDEH WATERSHED

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VELAYATI S.A.; JAHANI M.; RAMESH A.

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Journal: Geography and Development Year:2006 | Volume:3 | Issue:6 Page(s): 39-54

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Title

SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANING: A CASE STUDY KARDEH WATERSHED

Author(s)

VELAYATI S.A. | JAHANI M. | RAMESH A. | Issue Writer Certificate

Keywords

RISK MANAGEMENTQ2

FLOODQ2

TIME SERIESQ2

MODELINGQ2

KARDEH WATERSHEDQ4

DROUGHTQ2

SOIL EROSIONQ2

Abstract

By occurrence of climate change phenomenon and increasing of human’s interference on global climate, two natural disasters such as DROUGHT and FLOOD effect on different parts of the earth. In recent years, our country was alternatively witness in occurring of FLOODs and severe DROUGHTs in some parts, specially conjoint occurring of these natural disasters, improve each other as severe DROUGHTs spoiled vegetative coverage and humidity of soil that facilitates agent for flowing destructive FLOODs. On the other hand, occurring of severe FLOODs have caused destroyed agricultural lands and eroded fertile soils and has amplified the effective of DROUGHT in these places. In this watershed which has high submergible potential, with an extensive and accurate management, we can reduce the effects and damages of FLOOD and use it for increasing water potential in this place, for example increasing soil moisture, discharging aquifer and increasing water resources in dams' lakes. For succession in these actions, an expansive and optimum FLOOD RISK MANAGEMENT in that watershed is necessary. KARDEH WATERSHED is located on near Mashhad, which considered as case study. The risk of flown FLOODs in this basin is modulated with three flowing types of statistical models: 1) Probability Distribution Functions, 2) Linear Regressive Model, 3) Auto Regressive Independent Moving Average (ARIMA) Models.According the results of models testing, Probability Distribution Functions couldn’t be able to model the FLOODs risk in basin. Regressive Model doesn’t offer acceptable responses because it obeyed one general trend. ARIMA TIME SERIES Models are tested in different stages and finally, ARIMA (1,2,3) Model offered 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 is usable practical and conclusion of this research is expansible and usable for the other similar watershed basins.

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APA: Copy

VELAYATI, S.A., JAHANI, M., & RAMESH, A.. (2006). SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANING: A CASE STUDY KARDEH WATERSHED. GEOGRAPHY AND DEVELOPMENT, 3(6), 39-54. SID. https://sid.ir/paper/76991/en

Vancouver: Copy

VELAYATI S.A., JAHANI M., RAMESH A.. SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANING: A CASE STUDY KARDEH WATERSHED. GEOGRAPHY AND DEVELOPMENT[Internet]. 2006;3(6):39-54. Available from: https://sid.ir/paper/76991/en

IEEE: Copy

S.A. VELAYATI, M. JAHANI, and A. RAMESH, “SIGNIFICANCE OF THE FLOOD RISK MANAGEMENT ON RURAL PLANING: A CASE STUDY KARDEH WATERSHED,” GEOGRAPHY AND DEVELOPMENT, vol. 3, no. 6, pp. 39–54, 2006, [Online]. Available: https://sid.ir/paper/76991/en

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