Variations in hydrological variables using distributed hydrological model in permafrost environment
The Yangtze River Source Region (YaRSR) is located in the third polar region, the most threatened zone by global warming after the Arctic. Permafrost covers eighty percent of the total area of YaRSR, while the rest is seasonally frozen ground. Due to a significant rise in air temperature, degradatio...
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Language: | English |
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ftchinacadscimhe:oai:ir.imde.ac.cn:131551/56974 2023-05-15T15:12:55+02:00 Variations in hydrological variables using distributed hydrological model in permafrost environment Ahmed, Naveed Wang, Genxu Booij, Martijn J. Marhaento, Hero Pordhan, Foyez Ahmed Ali, Shahid Munir, Sarfraz Hashmi, Muhammad Zia-ur-Rehman 2022-12-01 http://ir.imde.ac.cn/handle/131551/56974 https://doi.org/10.1016/j.ecolind.2022.109609 英语 eng ELSEVIER ECOLOGICAL INDICATORS http://ir.imde.ac.cn/handle/131551/56974 doi:10.1016/j.ecolind.2022.109609 Permafrost hydrology SWAT model Qinghai Tibet Third Polar Region Yangtze River China RIVER SOURCE REGION CLIMATE-CHANGE YANGTZE-RIVER ACTIVE LAYER TIBETAN PLATEAU IMPACTS BASIN WATER STREAMFLOW SNOW Biodiversity & Conservation Environmental Sciences & Ecology Biodiversity Conservation Environmental Sciences 期刊论文 2022 ftchinacadscimhe https://doi.org/10.1016/j.ecolind.2022.109609 2023-01-06T01:13:04Z The Yangtze River Source Region (YaRSR) is located in the third polar region, the most threatened zone by global warming after the Arctic. Permafrost covers eighty percent of the total area of YaRSR, while the rest is seasonally frozen ground. Due to a significant rise in air temperature, degradation of the permafrost could occur. Permafrost coverage in a river basin greatly controls its hydrology. This study focuses on hydrological modeling in this permafrost environment using the Soil and Water Assessment Tool (SWAT). The SWAT model was calibrated (1985-2000) and validated (2001-2015) on a daily time step. The results were also compared on a monthly time scale. An impermeable layer was introduced within the SWAT model to represent the permafrost conditions. The streamflow is strongly dependent on the seasonal variation of precipitation and temperature, and the rising limb of the hydrograph shows the melting of snow, the contribution of soil water, and thawing of permafrost during the spring-summer season. The permafrost layer well restricted the deep percolation of water. During the spring season, streamflow mainly consists of surface runoff because of the frozen soils. Permafrost and frozen ground thawing lead to an increase in the contribution of groundwater flow to streamflow. Ultimately, the frozen ground depletes as the temperature gets close to the freezing point. This study also describes the SWAT model appli-cation to better analyze and understand the hydrology of the permafrost/frozen ground with limited data availability. Report Arctic Climate change Global warming permafrost IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences) Arctic Ecological Indicators 145 109609 |
institution |
Open Polar |
collection |
IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences) |
op_collection_id |
ftchinacadscimhe |
language |
English |
topic |
Permafrost hydrology SWAT model Qinghai Tibet Third Polar Region Yangtze River China RIVER SOURCE REGION CLIMATE-CHANGE YANGTZE-RIVER ACTIVE LAYER TIBETAN PLATEAU IMPACTS BASIN WATER STREAMFLOW SNOW Biodiversity & Conservation Environmental Sciences & Ecology Biodiversity Conservation Environmental Sciences |
spellingShingle |
Permafrost hydrology SWAT model Qinghai Tibet Third Polar Region Yangtze River China RIVER SOURCE REGION CLIMATE-CHANGE YANGTZE-RIVER ACTIVE LAYER TIBETAN PLATEAU IMPACTS BASIN WATER STREAMFLOW SNOW Biodiversity & Conservation Environmental Sciences & Ecology Biodiversity Conservation Environmental Sciences Ahmed, Naveed Wang, Genxu Booij, Martijn J. Marhaento, Hero Pordhan, Foyez Ahmed Ali, Shahid Munir, Sarfraz Hashmi, Muhammad Zia-ur-Rehman Variations in hydrological variables using distributed hydrological model in permafrost environment |
topic_facet |
Permafrost hydrology SWAT model Qinghai Tibet Third Polar Region Yangtze River China RIVER SOURCE REGION CLIMATE-CHANGE YANGTZE-RIVER ACTIVE LAYER TIBETAN PLATEAU IMPACTS BASIN WATER STREAMFLOW SNOW Biodiversity & Conservation Environmental Sciences & Ecology Biodiversity Conservation Environmental Sciences |
description |
The Yangtze River Source Region (YaRSR) is located in the third polar region, the most threatened zone by global warming after the Arctic. Permafrost covers eighty percent of the total area of YaRSR, while the rest is seasonally frozen ground. Due to a significant rise in air temperature, degradation of the permafrost could occur. Permafrost coverage in a river basin greatly controls its hydrology. This study focuses on hydrological modeling in this permafrost environment using the Soil and Water Assessment Tool (SWAT). The SWAT model was calibrated (1985-2000) and validated (2001-2015) on a daily time step. The results were also compared on a monthly time scale. An impermeable layer was introduced within the SWAT model to represent the permafrost conditions. The streamflow is strongly dependent on the seasonal variation of precipitation and temperature, and the rising limb of the hydrograph shows the melting of snow, the contribution of soil water, and thawing of permafrost during the spring-summer season. The permafrost layer well restricted the deep percolation of water. During the spring season, streamflow mainly consists of surface runoff because of the frozen soils. Permafrost and frozen ground thawing lead to an increase in the contribution of groundwater flow to streamflow. Ultimately, the frozen ground depletes as the temperature gets close to the freezing point. This study also describes the SWAT model appli-cation to better analyze and understand the hydrology of the permafrost/frozen ground with limited data availability. |
format |
Report |
author |
Ahmed, Naveed Wang, Genxu Booij, Martijn J. Marhaento, Hero Pordhan, Foyez Ahmed Ali, Shahid Munir, Sarfraz Hashmi, Muhammad Zia-ur-Rehman |
author_facet |
Ahmed, Naveed Wang, Genxu Booij, Martijn J. Marhaento, Hero Pordhan, Foyez Ahmed Ali, Shahid Munir, Sarfraz Hashmi, Muhammad Zia-ur-Rehman |
author_sort |
Ahmed, Naveed |
title |
Variations in hydrological variables using distributed hydrological model in permafrost environment |
title_short |
Variations in hydrological variables using distributed hydrological model in permafrost environment |
title_full |
Variations in hydrological variables using distributed hydrological model in permafrost environment |
title_fullStr |
Variations in hydrological variables using distributed hydrological model in permafrost environment |
title_full_unstemmed |
Variations in hydrological variables using distributed hydrological model in permafrost environment |
title_sort |
variations in hydrological variables using distributed hydrological model in permafrost environment |
publisher |
ELSEVIER |
publishDate |
2022 |
url |
http://ir.imde.ac.cn/handle/131551/56974 https://doi.org/10.1016/j.ecolind.2022.109609 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Global warming permafrost |
genre_facet |
Arctic Climate change Global warming permafrost |
op_relation |
ECOLOGICAL INDICATORS http://ir.imde.ac.cn/handle/131551/56974 doi:10.1016/j.ecolind.2022.109609 |
op_doi |
https://doi.org/10.1016/j.ecolind.2022.109609 |
container_title |
Ecological Indicators |
container_volume |
145 |
container_start_page |
109609 |
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1766343535653552128 |