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Semi Distributed Model Application for Evaluating the Impact of Climate Change on Water Resource in Quang Nam - Da Nang Area

10 pagesPublished: September 20, 2018

Abstract

The Climate change is judged to impact seriously to human society. Hence, assessing the variation of climatic factors in this process is indispensable to mitigate its negative impacts. Quang Nam Da Nang area covered 3 large river catchments (Vu Gia Thu Bon, Tam Ky, Cu De) is predicted to be affected violently by the change of climate, especially on water resources security, as well in hydrological disasters. With the aim of evaluating the consequences of climate change, the study utilizes a semi distributed hydrological model (SWAT model) to simulate the stream flow variation in Quang Nam Da Nang area. The model is constructed with specific catchment characteristics. It is calibrated and validated over a period of 38 years from 1979 to 2016 with the impressive coefficients (NASH reachs to 0.87, R reachs to 0.94). The data about climate change is supplied by Vietnamese Ministry of Natural Ressources and Environments.

Keyphrases: climate change, quang nam da nang, semi distributed model, swat model, vietnamese ministry of natural ressources and environments

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2216-2225.

BibTeX entry
@inproceedings{HIC2018:Semi_Distributed_Model_Application,
  author    = {Ngoc Duong Vo and Quang Binh Nguyen and Philippe Gourbesville},
  title     = {Semi Distributed Model Application for Evaluating the Impact of Climate Change on Water Resource in Quang Nam - Da Nang Area},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/KLc2},
  doi       = {10.29007/l41m},
  pages     = {2216-2225},
  year      = {2018}}
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