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 2.2 KB | |
| Created: | Feb 08, 2023 at 4:31 a.m. | |
| Last updated: | Feb 08, 2023 at 4:31 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 557 |
| Downloads: | 227 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
Coastal aquifers have been identified as particularly vulnerable to impacts on water quantity and quality due to the high density of socio-economic activities and human assets in coastal regions and to the projected rising sea levels, contributing to the process of saltwater intrusion. This paper proposes a Regional Risk Assessment (RRA) methodology integrated with a chain of numerical models to evaluate potential climate change-related impacts on coastal aquifers and linked natural and human systems (i.e., wells, river, agricultural areas, lakes, forests and semi-natural environments). The RRA methodology employs Multi Criteria Decision Analysis methods and Geographic Information Systems functionalities to integrate heterogeneous spatial data on hazard, susceptibility and risk for saltwater intrusion and groundwater level variation. The proposed approach was applied on the Esino River basin (Italy) using future climate hazard scenarios based on a chain of climate, hydrological, hydraulic and groundwater system models running at different spatial scales. Models were forced with the IPCC SRES A1B emission scenario for the period 2071-2100 over four seasons (i.e., winter, spring, summer and autumn). Results indicate that in future seasons, climate change will cause few impacts on the lower Esino River valley. Groundwater level decrease will have limited effects: agricultural areas, forests and semi-natural environments will be at risk only in a region close to the coastline which covers less than 5% of the total surface of the considered receptors; less than 3.5% of the wells will be exposed in the worst scenario. Saltwater intrusion impact in future scenarios will be restricted to a narrow region close to the coastline (only few hundred meters), and thus it is expected to have very limited effects on the Esino coastal aquifer with no consequences on the considered natural and human systems. (C) 2015 Elsevier B.V. All rights reserved.
Subject Keywords
Coverage
Spatial
Content
Additional Metadata
| Name | Value |
|---|---|
| DOI | 10.1016/j.scitotenv.2015.06.111 |
| Depth | 0 |
| Scale | 101 - 1 000 km² |
| Layers | 1 |
| Purpose | Groundwater resources;Salt water intrusion |
| GroMoPo_ID | 203 |
| IsVerified | True |
| Model Code | Feflow |
| Model Link | https://doi.org/10.1016/j.scitotenv.2015.06.111 |
| Model Time | SS |
| Model Year | 2015 |
| Model Authors | Iyalomhe, F; Rizzi, J; Pasini, S; Torresan, S; Critto, A; Marcomini, A |
| Model Country | Italy |
| Data Available | Report/paper only |
| Developer Email | marcom@unive.it |
| Dominant Geology | Unsure |
| Developer Country | Italy |
| Publication Title | Regional Risk Assessment for climate change impacts on coastal aquifers |
| Original Developer | No |
| Additional Information | This paper proposes a Regional Risk Assessment (RRA) methodology integrated with a chain of numerical models to evaluate potential climate change-related impacts on coastal aquifers and linked natural and human systems. The proposed approach was applied on the Esino River basin (Italy) using future climate hazard scenarios based on a chain of climate, hydrological, hydraulic and groundwater system models running at different spatial scales. Models were forced with the IPCC SRES A1B emission scenario for the period 2071–2100 over four seasons. |
| Integration or Coupling | Water use;Water management |
| Evaluation or Calibration | Unsure |
| Geologic Data Availability | Unsure |
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