Preprints
https://doi.org/10.5194/hess-2018-548
https://doi.org/10.5194/hess-2018-548
20 Nov 2018
 | 20 Nov 2018
Status: this preprint has been withdrawn by the authors.

Climate change and runoff contribution by hydrological zones of cryosphere catchment of Indus River, Pakistan

Kashif Jamal, Shakil Ahmad, Xin Li, Muhammad Rizwan, Hongyi Li, and Jiaojiao Feng

Abstract. Climate change has significant impacts on hydrology in high altitude snow and glacier covered mountainous regions. These regions are highly sensitive to changes in climate variables, such as temperature and precipitation and producing high runoffs. Runoff produced from different altitude ranges and their sensitivity to current and changing climate is also unknown. This study was carried out in high altitude mountainous cryosphere Hunza River Catchment (HRC) which is located in Hindukush and Karakoram ranges and is the major tributary of the Indus River Basin. Snowmelt-Runoff Model (SRM) was used to analyse the current and projected hydrological regimes and the sensitivity of Snow Cover Area (SCA) at different altitude levels under current and changing climate. Under the current condition (i.e., 2001–2010 except 2006), the results showed that about half of the mean annual streamflows at the outlet of the HRC is contributed by the altitude ranges of 4500–5500 m a.s.l. Climatic projections under the RCP8.5 and RCP4.5 scenarios were used for the climate change impact assessment. Compared to the baseline climate, the mean annual temperature would increase by 0.7 (0.6), 2.4 (1.3) and 4.6 (1.9) ℃, respectively during 2030s, 2060s and 2090s; and the mean annual precipitation would increase by 63.3 (33.6) mm during 2090s under the RCP8.5 (RCP4.5) projections. Moreover, two SCA scenarios were developed, i.e., the baseline unchanged SCA and the hypothetical change in SCA scenarios. In the first SCA scenario, the results showed that additional streamflows of 43 (34), 153 (83.4) and 304 (115.7) m3 s−1 under RCP8.5 (RCP4.5) will be added into baseline annual streamflows of 269 m3 s−1 during 2030s, 2060s and 2090s, respectively. In the second scenario, we found that 10 % and 15 % decrease in SCA would result in increases (or decrease) in streamflows approximately by 18 (2) % and 42 (7) % under the RCP8.5 (RCP4.5) scenario during 2060s and 2090s, respectively. Whereas altitude range 4500–5500 m a.s.l showed increasing trend during pre-monsoon (April–June) and monsoon (July–August) season under changed SCA scenario for both RCPs scenarios. Current and near future climate pattern is favourable for Indus River regarding high water flows. However, future water flow pattern is declining because of disappearance or decrease in snow and glaciers melt area which correspondingly means that mid/downstream water allocation will be effected or reduced at some extent. Proper adaptations or managements strategies should be executed for upcoming harsh conditions.

This preprint has been withdrawn.

Kashif Jamal, Shakil Ahmad, Xin Li, Muhammad Rizwan, Hongyi Li, and Jiaojiao Feng
Kashif Jamal, Shakil Ahmad, Xin Li, Muhammad Rizwan, Hongyi Li, and Jiaojiao Feng
Kashif Jamal, Shakil Ahmad, Xin Li, Muhammad Rizwan, Hongyi Li, and Jiaojiao Feng

Viewed

Total article views: 3,114 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,393 653 68 3,114 87 74
  • HTML: 2,393
  • PDF: 653
  • XML: 68
  • Total: 3,114
  • BibTeX: 87
  • EndNote: 74
Views and downloads (calculated since 20 Nov 2018)
Cumulative views and downloads (calculated since 20 Nov 2018)

Viewed (geographical distribution)

Total article views: 2,447 (including HTML, PDF, and XML) Thereof 2,412 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download

This preprint has been withdrawn.

Short summary
This research article address understanding and prediction of projected changes in runoff of cryosphere catchment. The key focus of this research is to predict the runoff contribution and sensitivity at different altitude ranges (that was not studied before) in the response of projected climate and how the response change to the climate variables. This research clearly fulfill the gap found in previous researches using simple approach.