پديد آورندگان :
فرج زاده، منوچهر نويسنده دانشكده علوم انساني - دانشگاه تربيت مدرس Farajzadeh, M. , لشكري، حسن نويسنده دانشگاه شهيد بهشتي تهران Lashkari, H , رفعتي، سميه نويسنده دانشگاه تربيت مدرس Rafati, S.
كليدواژه :
دما , آزمون تاوكندال , بارش , climate change , Debit , Precipitation , Temperature , دبي , Kendall- tau test , تغيير اقليم
چكيده لاتين :
Introduction
The aim of this study is to clarify the impact of climate
change on water resources variability. To achieve this,
the relationship between the discharge, temperature,
and precipitation as well as their trend is investigated
using statistical procedures.
Methodology
First the trend of discharge, temperature, and
precipitation records is detected using the Kendall-tau
test (Robson et aI., 2000). Kendall-tau test is a rankbased
test which determines whether the null
hypothesis is rejected at significance level a if:
Izl>ZI_iJ (I)
where z(a/ is the value of the standard normal
- /]
distribution with the exceedancc probability of iJ .
In the next step, a few models are generated for the
annual mean discharge and the daily mean discharge in
each month using linear regression. Sinee the monthly
distribution of precipitation is an important factor
affecting the annual mean discharge, the monthly
precipitation and the temperature were used as
independent variables for the annual discharge
modeling. For the daily discharge modeling, the daily
precipitation and the temperature of the same month,
the total precipitation and the mean temperature of the
previous month were used as independent variables For the model validation, a few models were generated
using the first 90 percent of the available records. Then
the last 10 percent of the discharge time series were
estimated using these models and the correlation
coefficient between the measured and the estimated
values were determined.
Results
The results show that there is no significant trend for
the annual mean discharge time series during the past
four decades (1341-1381). But the amount of monthly
discharge has increased in the cold season (Azar, Dey.
Bahman, Farvardin) and decreased in the wann seasons
(Khordad, Tir, Mordad, Shahrivar), Table I shows the
Kendall-tau test coefficient and the rate of discharge
changes in each month. during the past four decades.
The Kendall-tau test showed no significant trends for
the annual and the monthly precipitation records during
1346-1381.
Based on the Kendall-tau test results, both the annual
and the monthly temperature records (except for
Esfand) has increased during the past four decades
(1341-1381).
Table I shows the generated models for the annual and
the daily discharges in each month, correlation
coefficients between the measured and the estimated
records and also the correlation coefficients for model
validation (X1 to X 12 represent precipitation of Mehr
(October) to Shahrivar (September) and X j~ʹ to Xc;
represent temperature of Mehr (October) to Shahrivar
(September), respectively..
According to these models the amount of the total
precipitation of Aban, Azar, Bahman, Esfand, and
Ordibehesht and also the mean temperature of
Farvardin signify the amount of the annual discharge.
The most important variable in the fluctuation of the
daily mean discharge of Mehr and Aban is the
precipitation of the same day. This is because the
temperature is high and the form of precipitation is in
liquid and therefore it transforms into discharge
immediately. After Azar due to the reduction of
temperature and the delay in discharge reaction to
precipitation, the role of the daily precipitation
decreases gradually till Esfand. Accordingly the effect
of the daily temperature on discharge increases.
Therefore the daily temperature and the monthly total
precipitation of previous months are the important
variables in determining discharge in these months.
After Ordibehesht, the temperature affects the
discharge inversely and therefore, the monthly
temperature and the total precipitation of previous
months are the main variables to determine discharge.
Conclusion
It can be concluded that the discharge of the rivers in
Latian basin has increased in cold seasons and
decreased in warm seasons as a consequenee of the
temperature increase. The reason is that the main
portion of the precipitation in the eold season oeeurs as
snow. Therefore, it may be inferred that this area will
suffer a substantial decrease in river discharge in warm
seasons.