Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 1.9 KB | |
Created: | Feb 08, 2023 at 4:21 a.m. | |
Last updated: | Feb 08, 2023 at 4:21 a.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 648 |
Downloads: | 239 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
Water resources in coastal areas can be profoundly influenced by both climate change and human activities. These climatic and human impacts are usually intertwined and difficult to isolate. This study developed an integrated model-based approach for detection and attribution of climatic and human impacts and applied this approach to the Luanhe Plain, a typical coastal area in northern China. An integrated surface water-groundwater model was developed for the study area using GSFLOW (coupled groundwater and surface-water flow). Model calibration and validation were performed for background years between 1975 and 2000. The variation in water resources between the 1980s and 1990s was then quantitatively attributed to climate variability, groundwater pumping and changes in upstream inflow. Climate scenarios for future years (2075-2100) were also developed by downscaling the projections in CMIP5. Potential water resource responses to climate change, as well as their uncertainty, were then investigated through integrated modeling. The study results demonstrated the feasibility and value of the integrated modeling-based analysis for water resource management in areas with complex surface water groundwater interaction. Specific findings for the Luanhe Plain included the following: (1) During the historical period, upstream inflow had the most significant impact on river outflow to the sea, followed by climate variability, whereas groundwater pumping was the least influential. (2) The increase in groundwater pumping had a dominant influence on the decline in groundwater change, followed by climate variability. (3) Synergetic and counteractive effects among different impacting factors, while identified, were not significant, which implied that the interaction among different factors was not very strong in this case. (4) It is highly probable that future climate change will accelerate groundwater depletion in the study area, implying that strict regulations for groundwater pumping are imperative for adaptation. (C) 2017 Elsevier B.V. All rights reserved.
Subject Keywords
Coverage
Spatial
Content
Additional Metadata
Name | Value |
---|---|
DOI | 10.1016/j.jhydrol.2017.12.041 |
Depth | 20 |
Scale | 1 001 - 10 000 km² |
Layers | 1 |
Purpose | Groundwater resources;Scientific investigation (not related to applied problem) |
GroMoPo_ID | 196 |
IsVerified | True |
Model Code | MODFLOW |
Model Link | https://doi.org/10.1016/j.jhydrol.2017.12.041 |
Model Time | SS |
Model Year | 2018 |
Model Authors | Feng, DP; Zheng, Y; Mao, YX; Zhang, AJ; Wu, B; Li, JG; Tian, Y; Wu, X |
Model Country | China |
Data Available | Report/paper only |
Developer Email | zhengy@sustc.edu.cn |
Dominant Geology | Unconsolidated sediments |
Developer Country | Peoples R China; USA |
Publication Title | An integrated hydrological modeling approach for detection and attribution of climatic and human impacts on coastal water resources |
Original Developer | No |
Additional Information | This study developed an integrated model-based approach for detection and attribution of climatic and human impacts and applied this approach to the Luanhe Plain, a typical coastal area in northern China. |
Integration or Coupling | Water use;Water management |
Evaluation or Calibration | Static water levels |
Geologic Data Availability | Yes |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment