Reach Us +44-7482-878921
Recent Developments In The Regression Methods For Computing Peak Flood Discharges | 9274
ISSN: 2157-7587

Hydrology: Current Research
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Recommended Conferences

12th Global Summit on Aquaculture & Fisheries

Hong Kong, China

European Conference on Aquaculture and Fisheries

Stockholm, Sweden

11th International conference on Fisheries &Aquaculture

Vancouver, Canada
Share This Page

Recent developments in the regression methods for computing peak flood discharges

2nd International Conference on Hydrology & Groundwater Expo

Mohiuddin Ali Khan, Muhammad Irfan and Hamza Farooq Gabrial

ScientificTracks Abstracts: Hydrol Current Res

DOI: 10.4172/2157-7587.S1.008

As a reason of global climate change as well as increasing in the world?s population, providing sufficient needs, especially water, is becoming increasingly difficult for human in the last decades. Water stress/scarcity is expected to rise sharply in numerous regions on the world. On the other hand, technologically and economically it is almost impossible to provide fresh water using any industrial way especially in undeveloped countries. Furthermore, current freshwater resources are vulnerable against chemical, biological, and nuclear pollutants. So, the fresh water resources should be protected against all kind of pollutants. The main fresh water sources are streams (rivers, channels). On the other hand, convective longitudinal dispersion is the most desired parameter on the stream pollution. The dispersion coefficient represents the rate of pollution and it is the most desired parameter in any air or water pollution modeling study. In many practical and natural situations, two or one dimensional dispersion coefficients are often required for modeling. In natural channels, a one-dimensional equation of motion is significant and the estimation of the longitudinal dispersion coefficient must be obtained prior to modeling by various procedures that are available in the literature. The main purpose of this paper is to present a large review and criticism on the longitudinal dispersion phenomenon
Mohiuddin Ali Khan, P.E. has M. Phil., and DIC from University of London and Ph.D. in structural engineering fromSouthampton University, England. He conducted post-doctoral research at Northwestern University, Evanston, IL He is Adjunct Professor at Temple University, founder of Structural Engineering Institute in Philadelphia and serves as ASCE Director. He designed many Northeast USA river bridges with innovative countermeasures. He is author of several textbooks and numerous research papers in hydrology and rehabilitation of bridges and earthquakes.