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@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 = "04 dez. 2020"
}


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