Effects of variability in probable maximum precipitation patterns on flood losses

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimating Probable Maximum Precipitation Based on Synoptic Method in Ghomrood Basin

Probable maximum precipitation (PMP), is the highest rainfall, which occurs at a given time in a basin. Hydrologist calculates the probable maximum flood for the design of overflow dams, by using the PMP, with two methods: statistical and synoptic. The purpose of this study is calculating PMP in the Ghomrood basin by using the synoptic method. For this purpose rain, meteorological data of the I...

متن کامل

Comparison of physical and statistical methods for estimating probable maximum precipitation in southwestern basins of Iran

The probable maximum precipitation (PMP) is the greatest depth of precipitation for a given duration that is physically possible over a given size storm area at a particular geographical location at a certain time of the year. In this study a physically based method was compared with a statistical procedure to calculate PMP in the southwest arid regions of Iran. In order to estimate PMP using a...

متن کامل

Study on the effect of climate change on maximum precipitations and probable maximum flood in the Karoon River zone of Iran

Climate change is one of the challenges which affect different areas of the human’s life on the earth, one of which is its effect on extreme events such as flood and drought. Today, one of the most important topics being discussed is that how the intensity of heavy precipitations and flood will change in future compared to that of the present values. In the present study, we try to investigate ...

متن کامل

Using Probable Maximum Precipitation to Bound the Disaggregation of Rainfall

The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate rainfall volumes through multiplying the volumes by random weights, which is repeated through multiple disaggregation levels. The model development involves the identification of probability density functions from which to sample the weights. The parameters of the probability density functions ar...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Hydrology and Earth System Sciences

سال: 2018

ISSN: 1607-7938

DOI: 10.5194/hess-22-2759-2018