A MODFLOW package to linearize stream depletion analysis

Ou, Gengxin; Li, Ruopu; Pun, Mahesh; Osborn, Colby; Bradley, Jesse; Schneider, J. F.; Chen, Xun Hong

doi:10.1016/j.jhydrol.2015.11.025

Cited by 6 publications

(5 citation statements)

References 22 publications

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“…The SWAT-MODFLOW coupled model takes advantage of the respective strengths of the above two models by feeding an input of HRU-based groundwater recharge calculated by the SWAT model to the MODFLOW model, and MODFLOW calculates the groundwater flow between the aquifer and the river channel and returns it back to SWAT [31,32]. In this way, the spatiotemporal characteristics of the groundwater-dominated watersheds can be reasonably displayed, and the water cycle processes can be more accurately modelled.…”

Section: The Swat-modflow Modelmentioning

confidence: 99%

Identification and Prediction of Crop Waterlogging Risk Areas under the Impact of Climate Change

Jin

Zhai

et al. 2022

Water

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Waterlogging refers to the damage to plants by water stress due to excess soil water in the crop’s root zone that exceeds the maximum water holding capacity of the field. It is one of the major disasters affecting agricultural production. This study aims to add a crop waterlogging identification module to the coupled SWAT (Soil and Water Assessment Tools)-MODFLOW (Modular Finite Difference Groundwater Flow Model) model and to accurately identify and predict crop waterlogging risk areas under the CMIP6 (Coupled Model Intercomparison Project 6) climate scenarios. The result showed that: (1) The SWAT-MODFLOW model, which coupled with a crop waterlogging identification module, had good simulation results for LAI (Leaf Area Index), ET (Evapotranspiration), spring wheat yield, and groundwater level in the middle and lower reaches of the Bayin River; (2) The precipitation showed an overall increasing trend in the Bayin River watersheds over the next 80 years under the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios. The temperature showed a clear increasing trend over the next 80 years under the SSP2-4.5 and SSP5-8.5 scenarios; (3) Under the SSP1-2.6 scenario, the mountain runoff from the upper reaches of the Bayin River was substantially higher than in other scenarios after 2041. The mountain runoff in the next 80 years will decrease substantially under the SSP2-4.5 scenario. The mountain runoff over the next 80 years showed an initial decrease and then an increasing trend under the SSP5-8.5 scenario; (4) During the historical period, the crop waterlogging risk area was 10.9 km2. In the next 80 years, the maximum crop waterlogging area will occur in 2055 under the SSP1-2.6 scenario. The minimum crop waterlogging area, 9.49 km2, occurred in 2042 under the SSP2-4.5 scenario. The changes in the area at risk of crop waterlogging under each scenario are mainly influenced by the mountain runoff from the upper reaches of the Bayin River.

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Section: The Swat-modflow Modelmentioning

confidence: 99%

Identification and Prediction of Crop Waterlogging Risk Areas under the Impact of Climate Change

Jin

Zhai

et al. 2022

Water

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“…When considered individually or used to generate maps or rankings, we refer to them by the more intuitive term "depletion potential." Depletion potential (e.g., Ahlfeld et al 2016) can be calculated in a variety of ways including using Adjoint State (Neupauer and Griebling 2012;Griebling and Neupauer 2013) and reformulation of the underlying process model (Ou et al 2016).…”

Section: Depletion Potentialmentioning

confidence: 99%

Depletion Mapping and Constrained Optimization to Support Managing Groundwater Extraction

Fienen¹,

Bradbury

Kniffin

et al. 2017

Groundwater

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Groundwater models often serve as management tools to evaluate competing water uses including ecosystems, irrigated agriculture, industry, municipal supply, and others. Depletion potential mapping-showing the model-calculated potential impacts that wells have on stream baseflow-can form the basis for multiple potential management approaches in an oversubscribed basin. Specific management approaches can include scenarios proposed by stakeholders, systematic changes in well pumping based on depletion potential, and formal constrained optimization, which can be used to quantify the tradeoff between water use and stream baseflow. Variables such as the maximum amount of reduction allowed in each well and various groupings of wells using, for example, K-means clustering considering spatial proximity and depletion potential are considered. These approaches provide a potential starting point and guidance for resource managers and stakeholders to make decisions about groundwater management in a basin, spreading responsibility in different ways. We illustrate these approaches in the Little Plover River basin in central Wisconsin, United States-home to a rich agricultural tradition, with farmland and urban areas both in close proximity to a groundwater-dependent trout stream. Groundwater withdrawals have reduced baseflow supplying the Little Plover River below a legally established minimum. The techniques in this work were developed in response to engaged stakeholders with various interests and goals for the basin. They sought to develop a collaborative management plan at a watershed scale that restores the flow rate in the river in a manner that incorporates principles of shared governance and results in effective and minimally disruptive changes in groundwater extraction practices.

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“…One notable example is MODFLOW, a 3D finite difference model designed specifically for simulating groundwater flows [6,7]. MODFLOW has been extensively used by researchers to simulate groundwater levels across diverse regions (Dong et al, 2012;Lachaal et al, 2012;Ou et al, 2013Ou et al, , 2016Chen et al, 2017). For instance, Coelho et al (2017) utilized field data from an aquifer in a watershed in Vicosa, Minas Gerais, Brazil to assess different numerical hydrological models under varying boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Groundwater with Simulation Model MODFLOW: A Critical Review

et al. 2024

IJFMR

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Groundwater modeling is an essential tool in hydrology for the management and protection of groundwater resources. MODFLOW, developed by the U.S. Geological Survey (USGS), is the most widely used groundwater flow simulation model. This paper reviews the development, applications, capabilities, and future perspectives of MODFLOW. We analyze various MODFLOW versions, its integration with other software, and its applicability in diverse hydrogeological contexts. Visual MODFLOW is a Graphical User Interface for the USGS MODFLOW and is commercially available. It is favored by Hydrogeologist for its user-friendly design. The software primarily facilitates the modeling of groundwater flow and contaminant transport under various conditions. This article aims to review the breadth of its applications in groundwater modeling over the past 22 years. Visual MODFLOW has been applied in diverse areas including agriculture, airfields, constructed wetlands, climate change, drought studies, environmental impact assessments, landfills, mining operations, river and floodplain monitoring, saltwater intrusion, soil profile surveys, and watershed analyses, among others. This review will elucidate the software’s scope and effectiveness in groundwater modeling and research to date. Groundwater modeling is crucial for predicting changes in groundwater systems and environmental conditions. This study focuses on simulating the groundwater level of the Pawana Watershed, India using three different models: MODFLOW, Extreme Learning Machine (ELM), and Wavelet-Extreme Learning Machine (WA-ELM). Initially, the simulation is conducted using MODFLOW, achieving reasonable accuracy with a correlation coefficient (R²) of 0.917 and a scatter index (SI) of 0.0004.

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A MODFLOW package to linearize stream depletion analysis

Cited by 6 publications

References 22 publications

Identification and Prediction of Crop Waterlogging Risk Areas under the Impact of Climate Change

Identification and Prediction of Crop Waterlogging Risk Areas under the Impact of Climate Change

Depletion Mapping and Constrained Optimization to Support Managing Groundwater Extraction

Analysis of Groundwater with Simulation Model MODFLOW: A Critical Review

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