A review of conjunctive GW-SW management by simulation–optimization tools

Soleimani, Shima; Bozorg‐Haddad, Omid; Boroomandnia, Arezoo; Loáiciga, Hugo A.

doi:10.2166/aqua.2021.106

Cited by 8 publications

(4 citation statements)

References 118 publications

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“…Besides these systems, some models integrate hydraulic and groundwater models, such as MODBRANCH (Swain & Wexler, 1996), and DAFLOW (Jobson & Harbaugh, 1999). Soleimani et al (2021) summarize the models that simulate groundwater and surface water interaction.…”

Section: Introductionmentioning

confidence: 99%

Integrated management of groundwater and surface water under climate change scenarios

Olivos,

Méllo Jr.

2023

RBRH

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This study aimed to simulate the joint use of surface water and groundwater in the urban-rural basins of the municipality of São Carlos and evaluated the impact of climate change scenarios in the system. A calibrated WEAP model is employed with 5 km resolution climate model data from the CPTEC - PROJETA project with the future scenario of RCP85 and RCP45 from 2007 to 2050. This system is utilized to create various future scenarios of groundwater and surface-water abstraction of public water supply, industrial and private demands, with combination of conjunctive use 50-50% of both type of resources and 100% from one them. Results were assessed by analyzing the flow duration curves and the level of the aquifer for the 2007-2050 period. The simulated climatic scenarios indicate that the pressure over groundwater in the area could represent a challenge due to the progressive depletion of the resources affecting the system sustainability, the flow of the main rivers with the 95% percentile presents a reduction of 20% in some cases. This modelling approach can be used in other river basins to manage scenarios of supply and demand.

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Section: Introductionmentioning

confidence: 99%

Integrated management of groundwater and surface water under climate change scenarios

Olivos,

Méllo Jr.

2023

RBRH

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“…Several researchers have recently investigated the conjunctive use of water resources to inform strategies for water management in regions of the world that suffer from water scarcity [12][13][14]. By examining the implications of restrictions on the exploitation of surface and groundwater resources, this conjunctive use analysis enables land managers to not only maximize or satisfy water demand but also ensure that water resources are managed sustainably [15]. Conjunctive use of water resources has received attention in almost every part of the world, especially India [16], Iran [13], China [17], and the USA [18], where water managers have acknowledged that conjunctive use may be a component of solutions that focus on the problems of allocating reclaimed water, surface water, and groundwater to different water users over different months of the year.…”

Section: Introductionmentioning

confidence: 99%

A Simulation-Optimization Modeling Approach for Conjunctive Water Use Management in a Semi-Arid Region of Iran

et al. 2022

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Agricultural months are the critical period for the allocation of surface water and groundwater resources due to the increased demands on water supplies and decreased recharge rate. This situation urges the necessity of using conjunctive water management to fulfill the entire water demand. Here, we proposed an approach for aquifer stabilization and meeting the maximum water demand based on the available surface and groundwater resources and their limitations. In this approach, we first used the MODFLOW model to simulate the groundwater level to control the optimal withdrawal and the resulting drop. We next used a whale optimization algorithm (WOA) to develop an optimized model for the planning of conjunctive use to minimize the monthly water shortage. In the final step, we incorporated the results of the optimized conjunctive model and the available field data into the least squares-support vector machine (LS-SVM) model to predict the amounts of water shortage for each month, particularly for the agricultural months. The results showed that during the period from 2005 to 2020, the most water shortage belonged to 2018, in which only about 52% of water demand was met with the contribution of groundwater (67%) and surface water (33%). However, the groundwater level could have increased by about 0.7 m during the study period by implementing the optimized model. The results of the third part revealed that LS-SVM could predict the water shortage with better performance with a root-mean-square error (RMSE), mean absolute percentage error (MAPE), and Nash–Sutcliffe Index of 5.70 m, 3.43%, and 0.89 m, respectively. The findings of this study will enable managers to predict the water shortage in future periods to make more informed decisions for water resource allocation.

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“…In recent years, many researchers have used different optimization models for irrigated agriculture to plan and optimize conjunctive water use strategies (Sepahvand et al, 2019;Singh, 2014 a & b;Liu et al, 2013;Singh et al, 2106;Jha et al, 2020 andSoleimani et al, 2021). Different programming methods have been used in the optimization of the conjunctive use of surface and groundwater for irrigation planning and have been discussed extensively in .…”

Section: Introductionmentioning

confidence: 99%

Optimal Cropped Area and Cropping Pattern with Conjunctive Use of Surface and Groundwater for Kendrapara District of Odisha

Verma¹,

Sethi²,

Nayak³

2022

JNRCM

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A major chunk (60%) of India's agricultural GDP is derived from rainfed agriculture. It is essential to the growth of India's economy and agricultural sector. Over 70% of farmers in the coastal state of Odisha's Kendrapara district depend on agriculture and related industries. The goal of the current study was to gain a better knowledge of a challenging water supply issue in a typical humid region with alternating years of drought and flooding, which is more common in Odisha's Kendrapara District. The Kendrapara district of Odisha is where the study was carried out. The ideal cultivated area for various crops has been estimated for several blocks in the Kendrapara district taking into account the availability of water from surface and groundwater sources using a linear programming optimization model. According to surface water availability and rainfall analysis, assured rainfall at a likelihood level of 75% is deemed ideal for agricultural crop planning. The ideal area allocation for kharif irrigation of rice was found to be between 23.9 and 51.2% to provide the highest net return. In different blocks of the Kendrapara district, the ideal area (28.5% -81.7%) for rabi oilseeds could be set aside during the rainy season. Due to their higher net returns in the summer, pulse and oilseed crops may be heavily planted.

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A review of conjunctive GW-SW management by simulation–optimization tools

Cited by 8 publications

References 118 publications

Integrated management of groundwater and surface water under climate change scenarios

Integrated management of groundwater and surface water under climate change scenarios

A Simulation-Optimization Modeling Approach for Conjunctive Water Use Management in a Semi-Arid Region of Iran

Optimal Cropped Area and Cropping Pattern with Conjunctive Use of Surface and Groundwater for Kendrapara District of Odisha

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