@Article{KhalidChAlJaKhJaKh:2018:RiFlAs,
author = "Khalid, Bushra and Cholaw, Bueh and Alvim, D{\'e}bora Souza and
Javeed, Shumaila and Khan, Junaid Aziz and Javed, Muhammad Asif
and Khan, Azmat Hayat",
affiliation = "{Chinese Academy of Sciences} and {Chinese Academy of Sciences}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{COMSATS Institute of Information Technology} and {National
University of Science and Technology (NUST)} and {COMSATS
Institute of Information Technology} and {Pakistan Meteorological
Department}",
title = "Riverine flood assessment in Jhang district in connection with
ENSO and summer monsoon rainfall over Upper Indus Basin for 2010",
journal = "Natural Hazards",
year = "2018",
volume = "92",
number = "2",
pages = "971--993",
keywords = "Flooding, Riverine, ENSO, Monsoon, Rainfall, Land cover.",
abstract = "Pakistan has experienced severe floods over the past decades due
to climate variability. Among all the floods, the flood of 2010
was the worst in history. This study focuses on the assessment of
(1) riverine flooding in the district Jhang (where Jhelum and
Chenab rivers join, and the district was severely flood affected)
and (2) south Asiatic summer monsoon rainfall patterns and
anomalies considering the case of 2010 flood in Pakistan. The land
use/cover change has been analyzed by using Landsat TM 30 m
resolution satellite imageries for supervised classification, and
three instances have been compared, i.e., pre-flooding, flooding,
and post-flooding. The water flow accumulation, drainage density
and pattern, and river catchment areas have been calculated by
using Shutter Radar Topography Mission digital elevation model 90
m resolution. The standard deviation of south Asiatic summer
monsoon rainfall patterns, anomalies and normal (1979-2008) has
been calculated for July, August, and September by using rainfall
data set of Era interim (0.75 degrees x 0.75 degrees resolution).
El Nio Southern Oscillation has also been considered for its role
in prevailing rainfall anomalies during the year 2010 over Upper
Indus Basin region. Results show the considerable changing of land
cover during the three instances in the Jhang district and water
content in the rivers. Abnormal rainfall patterns over Upper Indus
Basin region prevailed during summer monsoon months in the year
2010 and 2011. The El Nio (2009-2010) and its rapid phase
transition to La Nia (2011-2012) may be the cause of severity and
disturbances in rainfall patterns during the year 2010. The
Geographical Information System techniques and model based
simulated climate data sets have been used in this study which can
be helpful in developing a monitoring tool for flood management.",
doi = "10.1007/s11069-018-3234-y",
url = "http://dx.doi.org/10.1007/s11069-018-3234-y",
issn = "0921-030X",
language = "en",
targetfile = "khalid_riverine.pdf",
urlaccessdate = "27 abr. 2024"
}