Measuring and Modeling Riparian Wetland Saturated Hydraulic Conductivity, Nutrient Concentrations and Shallow Groundwater Dynamics in an Appalachian Mixed Land Use Catchment DOI Creative Commons

Bidisha Faruque Abesh

Published: Jan. 1, 2024

The paucity of research on accurate predictions saturated hydraulic conductivity (Ksat), spatiotemporal analysis nutrient concentrations relative to water source types (stream and shallow groundwater (SGW)), flow directions, land use in riparian wetlands Appalachian mixed catchments underscored the need for this study. Additionally, lack SGW simulations stream-SGW interactions using three-dimensional (3D) numerical models (i.e., MODFLOW) these further highlighted gap. Observed data including soil properties, Ksat, surface (SW) levels, concentrations, nitrate (NO3-N), nitrite (NO2-N), ammonium (NH4-N), orthophosphate (PO43-P), total nitrogen (total_N), phosphorus (total_P) were collected from four stream stage monitoring sites with a 13 co-located piezometers during January 2020 December 2021. Validation against observed Ksat values revealed significant correlation texture, particularly clay content, yet low accuracy existing pedotransfer functions (PTFs), indicating pressing calibration development site-specific PTFs. Distinct profiles between SW SGW, significantly higher (p < 0.05) total_N total_P than SW. Principal Component Analysis (PCA) Spearman Correlation elucidated relationship distributions, types, adjacent uses. Relatively stable head distribution was slight monthly fluctuations due recharge rates 3D MODFLOW simulations. downstream reach study period illustrated losing condition, while alternating gaining-losing condition upstream area. In an experimental MT3D transport scenario advection-dispersion chemical reaction, lateral NO3-N observed, lost by denitrification surpassed stream. These studies provide valuable insights into complexities dynamics land-use region northeastern United States, offering foundation informed management decisions manage ecosystems sustainably.

Language: Английский

Simulation of Flood Inundation Extent by Integration of HEC-HMS, GA-based Rating Curve and Cost Distance Analysis DOI

Sagar Debbarma,

Subhajit Dey, Arnab Bandyopadhyay

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(4), P. 1397 - 1417

Published: Jan. 19, 2024

Language: Английский

Citations

3
A groundwater level spatiotemporal prediction model based on graph convolutional networks with a long short-term memory DOI Creative Commons
Lifang Wang,

Zhengwen Jiang,

Lei Song

et al.

Journal of Hydroinformatics, Journal Year: 2024, Volume and Issue: 26(11), P. 2962 - 2979

Published: Nov. 1, 2024

ABSTRACT The performance of regional groundwater level (GWL) prediction model hinges on understanding intricate spatiotemporal correlations among monitoring wells. In this study, a graph convolutional network (GCN) with long short-term memory (LSTM) (GCN–LSTM) is introduced for GWL utilizing data from 16 wells located in the northeastern Xiangtan City, China. This designed to account both hybrid temporal dependencies and spatial autocorrelations It consists two parts: part employs GCNs extract characteristics self-similarity weight matrix an attribute wells; utilizes LSTM module capture patterns sequences, along monthly precipitation temperature data. dynamically predicts changes levels, achieving higher accuracy average compared single-well predictions using LSTM. By incorporating autocorrelations, GCN–LSTM demonstrated improvement goodness-of-fit approximately 11.21% over LSTM-based individual Its application holds significant reference value sustainable utilization development resources City.

Language: Английский

Citations

2
Using MODFLOW to Model Riparian Wetland Shallow Groundwater and Nutrient Dynamics in an Appalachian Watershed DOI Open Access

Bidisha Faruque Abesh,

James T. Anderson, Jason A. Hubbart

et al.

Water, Journal Year: 2024, Volume and Issue: 16(13), P. 1772 - 1772

Published: June 22, 2024

Simulating shallow groundwater (SGW) flow dynamics and stream–SGW interactions using numerical modeling tools is necessary to develop a mechanistic understanding of water systems improve confidence in resource management practices. A three-dimensional (3D) SGW model was developed for riparian wetland mixed forest agricultural catchment West Virginia (WV), Appalachia, USA, Modular 3D Groundwater Model (MODFLOW). The MODFLOW simulation calibrated steady (R2 = 0.98, ME −0.21, RMSE 0.77), transient state 0.97, −0.41, 1.28) validated −0.28, 1.05) observed levels from thirteen nested piezometers under states. An experimental MT3D transport scenario show the lateral NO₃-N aquifer stream cells. Relatively stable head distribution observed. In downstream reach, discharge varied 948 m3/day 907 2020, with creek seepage ranging 802 790 m3/day. Similarly, input ranged 891 978 m3/day, while 796 800 2021. upstream reaches, losing conditions were January, June, September 2020 January April 2021, gaining prevailed during other months. Thus, an approximately monthly alternating gaining–losing condition area. resulted advection–dispersion scenario, showing cumulative loss 947 g NO3-N stream. Denitrification accounted 1406 SGW, surpassing 639 nitrate study period. Additionally, particle tracking MODPATH indicated long residence time nutrients, affirming efficiency nitrogen transformation through denitrification. This among first simulate hydrologic nutrient wetlands land use Appalachian region northeastern United States. results better inform decisions efforts similar physiographic regions globally.

Language: Английский

Citations

1
Evaluation of coupled SWAT-MODFLOW-NWT model for conjunctive use of surface water and groundwater resources in the Mahabad plain of Iran DOI Creative Commons

Omid Raja,

Masoud Parsinejad, Massoud Tajrishy

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 30, 2024

The Urmia Lake Basin has been severely affected by the unbalanced exploitation of water resources. To better manage use integrated resources, coupled SWAT-MODFLOW-NWT was adopted for Mahabad Plain in Basin, N.W. Iran. results indicated that a multifunctional calibration SWAT and MODFLOW-NWT hydrological models large-scale irrigated area necessary, using parameters such as evapotranspiration crop yield addition to usual surface runoff table measures. model then used evaluate several allocation scenarios, alternate proportions irrigation from conjunctive ultimate objective adopting these scenarios increase residual share supply order compensate deprived Lake. this study demonstrated able satisfactorily simulate groundwater balance components at different spatial temporal dimensions. indicate aquifer is capable supplying needs central northern regions, with some limitations around running rivers. Furthermore, sustainability indicators showed even an additional 30% groundwater, long-term resources preserved Ultimately, findings reduction waters can lead release lake 16 million cubic meters (21%) 18 (25%) years. outcomes serve guiding principle optimal sustainable highly competitive fragile basins Urmia.

Language: Английский

Citations

1
The Impact of Agricultural Land Use Change on Water and Nitrate Fluxes in the Deep Vadose Zone, the North China Plain DOI
Meiying Liu, Di Geng, Lin Wu

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0
Modeling the Impact of Groundwater and Surface Water Pumping on the Streamflow of an Intensely Irrigated Region and Climate Change Scenarios DOI

Glauco Z.S. Eger,

Gerson Cardoso da Silva,

Bernardo Ramos Carneiro Leão

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0
Field and Experimental Investigations of the Effect of Hyporheic Exchange on Nitrogen Transport in Lakeshore Lacustrine Sedimentary Aquifers, Sw China DOI
Ronggao Qin,

Haoyi Li,

Meidan Lai

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Measuring and Modeling Riparian Wetland Saturated Hydraulic Conductivity, Nutrient Concentrations and Shallow Groundwater Dynamics in an Appalachian Mixed Land Use Catchment DOI Creative Commons

Bidisha Faruque Abesh

Published: Jan. 1, 2024

The paucity of research on accurate predictions saturated hydraulic conductivity (Ksat), spatiotemporal analysis nutrient concentrations relative to water source types (stream and shallow groundwater (SGW)), flow directions, land use in riparian wetlands Appalachian mixed catchments underscored the need for this study. Additionally, lack SGW simulations stream-SGW interactions using three-dimensional (3D) numerical models (i.e., MODFLOW) these further highlighted gap. Observed data including soil properties, Ksat, surface (SW) levels, concentrations, nitrate (NO3-N), nitrite (NO2-N), ammonium (NH4-N), orthophosphate (PO43-P), total nitrogen (total_N), phosphorus (total_P) were collected from four stream stage monitoring sites with a 13 co-located piezometers during January 2020 December 2021. Validation against observed Ksat values revealed significant correlation texture, particularly clay content, yet low accuracy existing pedotransfer functions (PTFs), indicating pressing calibration development site-specific PTFs. Distinct profiles between SW SGW, significantly higher (p < 0.05) total_N total_P than SW. Principal Component Analysis (PCA) Spearman Correlation elucidated relationship distributions, types, adjacent uses. Relatively stable head distribution was slight monthly fluctuations due recharge rates 3D MODFLOW simulations. downstream reach study period illustrated losing condition, while alternating gaining-losing condition upstream area. In an experimental MT3D transport scenario advection-dispersion chemical reaction, lateral NO3-N observed, lost by denitrification surpassed stream. These studies provide valuable insights into complexities dynamics land-use region northeastern United States, offering foundation informed management decisions manage ecosystems sustainably.

Language: Английский

Citations

0