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GroMoPo Metadata for Luanhe Plain GSFLOW model


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Created: Feb 08, 2023 at 4:21 a.m.
Last updated: Feb 08, 2023 at 4:21 a.m.
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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

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
China
North Latitude
39.8884°
East Longitude
119.2276°
South Latitude
39.0509°
West Longitude
117.9500°

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

GroMoPo, E. Leijnse (2023). GroMoPo Metadata for Luanhe Plain GSFLOW model, HydroShare, http://www.hydroshare.org/resource/36c36f7470024342a60b3b2180dd937a

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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