Javascript must be enabled to continue!
Analysis of Groundwater Overexploitation Based on Groundwater Regime Information
View through CrossRef
AbstractAlthough groundwater overexploitation is a global problem, there are no unified standards for its identification and determination. To date, groundwater overexploitation has mainly been evaluated using the groundwater quantity balance and effect of groundwater exploitation on the environment. However, it is difficult to determine groundwater exploitation for an agricultural irrigation area owing to the lack of detailed environmental monitoring data. We used the experience of previous studies to introduce a novel identification model for groundwater overexploitation by relying on groundwater regime information and multi‐factor analysis. The model was applied to the Songhua River‐Naoli River area, Sanjiang Plain (China). In the demonstrated model, the study area was divided in the context of the risk of overexploitation into natural and non‐natural regime areas according to groundwater regime characteristics. The areas were identified by analyzing groundwater flow fields, cones of groundwater depression, and storage variation. The analysis demonstrated that the study area could be divided into high‐risk, medium‐risk, low‐risk, and non‐overexploitation areas with corresponding area ratios of 10.12%, 1.38%, 54.8%, and 33.7%. Moreover, the total amount of overexploited groundwater was estimated to be 30.41 × 108 m3 (average annual decrease = 1.69 × 108 m3). Overall, the proposed identification model was shown to be applicable to agricultural irrigation areas, thereby offering promising implications.
Title: Analysis of Groundwater Overexploitation Based on Groundwater Regime Information
Description:
AbstractAlthough groundwater overexploitation is a global problem, there are no unified standards for its identification and determination.
To date, groundwater overexploitation has mainly been evaluated using the groundwater quantity balance and effect of groundwater exploitation on the environment.
However, it is difficult to determine groundwater exploitation for an agricultural irrigation area owing to the lack of detailed environmental monitoring data.
We used the experience of previous studies to introduce a novel identification model for groundwater overexploitation by relying on groundwater regime information and multi‐factor analysis.
The model was applied to the Songhua River‐Naoli River area, Sanjiang Plain (China).
In the demonstrated model, the study area was divided in the context of the risk of overexploitation into natural and non‐natural regime areas according to groundwater regime characteristics.
The areas were identified by analyzing groundwater flow fields, cones of groundwater depression, and storage variation.
The analysis demonstrated that the study area could be divided into high‐risk, medium‐risk, low‐risk, and non‐overexploitation areas with corresponding area ratios of 10.
12%, 1.
38%, 54.
8%, and 33.
7%.
Moreover, the total amount of overexploited groundwater was estimated to be 30.
41 × 108 m3 (average annual decrease = 1.
69 × 108 m3).
Overall, the proposed identification model was shown to be applicable to agricultural irrigation areas, thereby offering promising implications.
Related Results
Characterizing Groundwater Quality, Recharge and Distribution under Anthropogenic conditions
Characterizing Groundwater Quality, Recharge and Distribution under Anthropogenic conditions
Awareness concerning sustainable groundwater management is gaining traction and calls for adequate understanding of the complexities of natural and anthropogenic processes and how ...
Forecasting Net Groundwater Depletion in Well Irrigation Areas with Long Short-term Memory Networks
Forecasting Net Groundwater Depletion in Well Irrigation Areas with Long Short-term Memory Networks
<p>Due to the scarcity of available surface water, many irrigated areas in North China Plain (NCP) heavily rely on groundwater, which has resulted in groundwater over...
Indicator-based assessment of groundwater resources sustainability in South Korea
Indicator-based assessment of groundwater resources sustainability in South Korea
Groundwater level decline and quality deterioration is continuously observed nationwide in South Korea. Meanwhile, the demand for groundwater, which is relatively stable and clean ...
Characteristics of groundwater circulation and evolution in Yanhe spring basin driven by coal mining
Characteristics of groundwater circulation and evolution in Yanhe spring basin driven by coal mining
Abstract
The Yanhe spring basin located in the Jindong coal base is relatively short of water resources and the ecological environment is fragile. With the large-scale mini...
Groundwater Resources Management Modelling: A Review
Groundwater Resources Management Modelling: A Review
Globally, groundwater is the largest distributed storage of freshwater that plays an important role in an ecosystem’s sustainability in addition to aiding human adaptatio...
Origins of Groundwater Inferred from Isotopic Patterns of the Badain Jaran Desert, Northwestern China
Origins of Groundwater Inferred from Isotopic Patterns of the Badain Jaran Desert, Northwestern China
There are many viewpoints about the sources of groundwater in the Badain Jaran Desert (BJD), such as precipitation and snowmelt from the Qilian Mountains (the upper reaches [UR] of...
Groundwater Vulnerability Assessment in the Huangshui River Basin Under Representative Environmental Change
Groundwater Vulnerability Assessment in the Huangshui River Basin Under Representative Environmental Change
The Huangshui River Basin is located in the transition zone between the Loess Plateau and the Qinghai–Tibet Plateau, characterized by a fragile hydrological and ecological environm...
Assessment of Groundwater Contamination Risk in Oilfield Drilling Sites Based on Groundwater Vulnerability, Pollution Source Hazard, and Groundwater Value Function in Yitong County
Assessment of Groundwater Contamination Risk in Oilfield Drilling Sites Based on Groundwater Vulnerability, Pollution Source Hazard, and Groundwater Value Function in Yitong County
Oilfield drilling sites are the potential dispersive pollution source of groundwater, especially to shallow groundwater. The pollution risk assessment in these areas is an importan...

