Coupled improvements on hydrodynamics and water quality by flowing water in towns with lakes

Gao, Cheng; Wang, Ziyong; Ji, Xiaomin; Wang, Wenying; Wang, Qian; Qing, Dandan

doi:10.1007/s11356-023-25348-3

Cited by 22 publications

(2 citation statements)

References 33 publications

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“…The MIKE11 advection-dispersion module (MIKE11 AD) holds significance within the MIKE11 model, serving as a crucial tool for simulating the convection and diffusion processes of soluble and suspended substances in water bodies [23][24][25][26][27]. Its application scope encompasses simulating both conservative and non-conservative substances.…”

Section: Forward Flow Routing Modelmentioning

confidence: 99%

Simulation of the Entire Process of an Interbasin Water Transfer Project for Flow Routing

Ye,

Wang,

Xie

et al. 2024

Water

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The flow routing process plays a crucial role in underpinning the execution of real-time operations within interbasin water transfer projects (IWTPs). However, the water transfer process within the supplying area is significantly affected by the time lag of water flow over extended distances, which results in a misalignment with the water demand process in the receiving area. Hence, there is an imperative need to investigate the flow routing patterns in long-distance water transfer processes. While MIKE11(2014 version) software and the Muskingum method are proficient in simulating flow routing within a water transfer network, they fall short in addressing issues arising from mixed free-surface-pressure flows in water transfer pipelines. This study enhanced the capabilities of the MIKE11(2014 version) software and the Muskingum method by introducing the Preissmann virtual narrow gap method to tackle the challenge of simulating mixed free-surface-pressure flows, a task unattainable by the model independently. This approach provides a clear elucidation of hydraulic characteristics within the water transfer network, encompassing flow rates and routing times. Furthermore, this is integrated with the Muskingum inverse method to compute the actual water demand process within the supplying area. This methodology is implemented in the context of the Han River to Wei River Diversion Project (HTWDP). The research findings reveal that the routing time for the Qinling water conveyance tunnel, under maximum design flow rate conditions, is 12.78 h, while for the south and north main lines, it stands at 15.85 and 20.15 h, respectively. These results underscore the significance of the time lag effect in long-distance water conveyance. It is noteworthy that the average errors between simulated and calculated values for the south and north main lines in the flow routing process are 0.45 m³/s and 0.51 m³/s, respectively. Compared to not using the Preissmann virtual narrow gap method, these errors are reduced by 59.82% and 70.35%, indicating a significant decrease in the discrepancy between simulated and calculated values through the adoption of the Preissmann virtual narrow gap method. This substantially improves the model’s fitting accuracy. Furthermore, the KGE indices for the flow routing model are all above 0.5, and the overall trend of the reverse flow routing process closely aligns with the simulated process. The relative errors for most time periods are constrained within a 5% range, demonstrating the reasonability and precision of the model.

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Section: Forward Flow Routing Modelmentioning

confidence: 99%

Simulation of the Entire Process of an Interbasin Water Transfer Project for Flow Routing

Ye,

Wang,

Xie

et al. 2024

Water

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“…The utilization of spatial visualization techniques for ET o distribution analysis facilitates the identification of regions with elevated water demand and potential depletion or overuse of water resources [1]. Furthermore, it has the potential to identify regions with favorable temperature [29] and humidity conditions for cultivating various crops, thereby facilitating crop selection and land-use management. The utilization of Inverse Distance Weighting (IDW) for the purpose of interpolating ET o data and creating spatial representations of ET o across various regions of Pakistan has been extensively documented in numerous studies [30].…”

Section: Data Quality and Integrity Assessmentmentioning

confidence: 99%

Spatiotemporal Estimation of Reference Evapotranspiration for Agricultural Applications in Punjab, Pakistan

Ashraf,

Qamar,

Riaz

et al. 2023

Agriculture

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Estimation of reference evapotranspiration (ETo) is a key element in water resources management and crop water requirement which, in turn, affects irrigation scheduling. ETo is subject to the influence of various climatic parameters including minimum temperature (Tmin), maximum temperature (Tmax), relative humidity (RH), windspeed (WS), and sunshine hours (SH). Usually, the influence of the climatic parameters and a dominating climatic factor influencing ETo is estimated on yearly basis. However, in diverse climatic regions, ETo varies with the varying climate. Therefore, this study aims to estimate the spatiotemporal variation in the influence of the climatic parameters on ETo in Punjab, Pakistan, for the period 1950–2021, specifically focusing on decennial, annual, and monthly patterns. The study area was divided into five agroclimatic zones. The Penman–Monteith model was used to estimate ETo. The influence was assessed using geographic weighted regression (GWR) and multiscale geographic weighted regression (MGWR) as the primary methods. As per results from MGWR, ETo in Punjab was highly influenced by the Tmin, Tmax, and WS. Additionally, annual ETo exhibited a higher value in southern Punjab in comparison to northern Punjab, with a range of 2975 mm/year in the cotton–wheat zone to 1596 mm/year in the rain-fed zone. Over the course of the past seventy years, Punjab experienced an average increasing slope of 5.18 mm/year in ETo. Tmin was the highest monthly dominant factor throughout the year, whereas WS and SH were recorded to be the dominant factor in the winters, specifically. All in all, accurate estimation of ETo, which serves as an essential component for crop water requirement, could potentially help improve the irrigation scheduling of crops in the agroclimatic zones.

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Assessment of sodium adsorption ratio (SAR) in groundwater: Integrating experimental data with cutting-edge swarm intelligence approaches

Wu,

Moayedi,

Salari

et al. 2024

Stoch Environ Res Risk Assess

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Coupled improvements on hydrodynamics and water quality by flowing water in towns with lakes

Cited by 22 publications

References 33 publications

Simulation of the Entire Process of an Interbasin Water Transfer Project for Flow Routing

Simulation of the Entire Process of an Interbasin Water Transfer Project for Flow Routing

Spatiotemporal Estimation of Reference Evapotranspiration for Agricultural Applications in Punjab, Pakistan

Assessment of sodium adsorption ratio (SAR) in groundwater: Integrating experimental data with cutting-edge swarm intelligence approaches

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