Climate change scenarios and its effect on groundwater level in the Hiranyakeshi watershed

Patil, Nagraj S.; Chetan, N.L.; Nataraja, M.; Suthar, Surindra

doi:10.1016/j.gsd.2019.100323

Cited by 29 publications

(9 citation statements)

References 11 publications

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“…Numerous software packages are used to simulate the movement of groundwater in the soil and aquifers, including Groundwater Modelling System (GMS) [88][89][90][91]; Visual MODFLOW Flex [92][93][94][95]; and ModelMuse [96][97][98][99]. Most of these packages require inputting the seepage velocity as the boundary or initial conditions to conduct the simulation.…”

Section: Introductionmentioning

confidence: 99%

Seepage Velocity: Large Scale Mapping and the Evaluation of Two Different Aquifer Conditions (Silty Clayey and Sandy)

et al. 2020

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Seepage velocity is a very important criterion in infrastructure construction. The planning of numerous large infrastructure projects requires the mapping of seepage velocity at a large scale. To date, however, no reliable approach exists to determine seepage velocity at such a scale. This paper presents a tool within ArcMap/Geographic Information System (GIS) software that can be used to map the seepage velocity at a large scale. The resultant maps include both direction and magnitude mapping of the seepage velocity. To verify the GIS tool, this study considered two types of aquifer conditions in two regions in Iraq: silty clayey (Babylon province) and sandy (Dibdibba in Karbala province). The results indicate that, for Babylon province, the groundwater flows from the northwest to southeast with a seepage velocity no more than 0.19 m/d; for the Dibdibba region, the groundwater flows from the west to the east with a seepage velocity not exceeding 0.27 m/d. The effectiveness of the presented tool in depicting the seepage velocity was thus demonstrated. The accuracy of the resultant maps depends on the resolution of the four essential maps (groundwater elevation head, effective porosity, saturated thickness, and transmissivity) and locations of wells that are used to collect the data.

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Section: Introductionmentioning

confidence: 99%

Seepage Velocity: Large Scale Mapping and the Evaluation of Two Different Aquifer Conditions (Silty Clayey and Sandy)

et al. 2020

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“…Zhou et al (2020) also showed the impact of climate change on the GW flow dynamics in China and the changing pattern in GWL. Patil et al (2020) showed that temperature and rainfall increase by 2.59 °C and 81.50%, respectively, expected for the period 2021-2050, will lead to a GW recharge increase of 24.91% in the Hiranyakeshi watershed. Based on general circulation models and the MODFLOW model, Shrestha et al (2020) also predicted a future GWL decline in Nepal.…”

Section: Introductionmentioning

confidence: 99%

Prediction of future groundwater levels under representative concentration pathway scenarios using an inclusive multiple model coupled with artificial neural networks

Ehteram

Kalantari

Ferreira

et al. 2022

Journal of Water and Climate Change

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Groundwater (GW) plays a key role in water supply in basins. As global warming and climate change affect groundwater level (GWL), it is important to predict it for planning and managing water resources. This study investigates the GWL of the Yazd-Ardakan Plain basin in Iran for the base period of 1979–2005 and predicts for periods of 2020–2059 and 2060–2099. Lagged temperature and rainfall are used as inputs to hybrid and standalone artificial neural network (ANN) models. In this study, the rat swarm algorithm (RSA), particle swarm optimisation (PSO), salp swarm algorithm (SSA), and genetic algorithm (GA) are used to adjust ANN models. The outcomes of these models are then entered into an inclusive multiple model (IMM) as an ensemble model. In this study, the output of climate models is also inserted into the IMM model to improve the estimation accuracy of temperature, rainfall, and GWL. The monthly average temperature for the base period is 12.9 °C, while average temperatures for 2020–2059 under RCP 4.5 and RCP 8.5 scenarios are 14.5 and 15.1 °C, and for 2060–2099 they are 16.41 and 18.5 °C under the same scenarios, respectively. In future periods, rainfall is low in comparison with the base period. Lagged rainfall and temperature of the base period are inserted into ANN-RSA, ANN-SSA, ANN-PSO, ANN-GA, and ANN models to predict GWL for the base period. Outputs of IMM, ANN, and the five hybrid models (ANN-RSA, ANN-SSA, ANN-PSO, and ANN-GA) indicate that root mean square errors (RMSE) are 2.12, 3.2, 4.58, 6.12, 6.98, and 7.89 m, respectively, in the testing level. It is found that GWL depletion in 2020–2059 under RCP 4.5 and RCP 8.5 scenarios are 0.60–0.88 m and 0.80–1.16 m, and in 2060–2099 under the same scenarios they are 1.49–1.97 m and 1.75–1.98 m, respectively. The results highlight the need to prevent overexploitation of GW in the Ardakan-Yazd Plain to avoid water shortages in the future.

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“…Groundwater resources have great importance in environmental sustainability because these resources provide water to humans and ensure the continuity of economic and domestic purposes such as agriculture and industry (Frappart & Ramillien, 2018;Holman et al, 2012;Kumar, 2012;Patil et al, 2020). According to (Giordano, 2009), worldwide groundwater exploitation exceeds 650 km 3 per year.…”

Section: Introductionmentioning

confidence: 99%

“…A considerable proportion of scientific research has been per-formed in recent decades to understand better how water resources may react to climate change. However, these studies have mainly focused on surface-water systems because of their visibility and accessibility (Amanambu et al, 2020;Kumar, 2012;Patil et al, 2020). It is not an easy task to evaluate the effects of climate change on groundwater resources.…”

Section: Introductionmentioning

confidence: 99%

Effects of Agriculture and Climate Change on Groundwater Resources: Case Study of Turkey

Tirol

Baba

Koçbay

et al. 2022

Preprint

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Groundwater is a vital supply of water widely used in agricultural, household, and industrial activities worldwide. Population growth, excessive groundwater usage in agriculture, and unpredictable rainfall owing to climate change all have a detrimental impact on groundwater potential. In order to use groundwater resources in sustainable ways and guide future water policies, it has become essential to determine the groundwater level in the face of all changing conditions. The primary goal of this research

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Climate change scenarios and its effect on groundwater level in the Hiranyakeshi watershed

Cited by 29 publications

References 11 publications

Seepage Velocity: Large Scale Mapping and the Evaluation of Two Different Aquifer Conditions (Silty Clayey and Sandy)

Seepage Velocity: Large Scale Mapping and the Evaluation of Two Different Aquifer Conditions (Silty Clayey and Sandy)

Prediction of future groundwater levels under representative concentration pathway scenarios using an inclusive multiple model coupled with artificial neural networks

Effects of Agriculture and Climate Change on Groundwater Resources: Case Study of Turkey

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