Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function

Li, Kebai; Ma, Tianyi; Wei, Guo; Zhang, Yuqian; Feng, Xi‐Qiao

doi:10.3390/su11215893

Cited by 12 publications

(10 citation statements)

References 23 publications

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“…However, the water resources carrying capacity increased from 0.281 hm 2 /person to 0.587 hm 2 /person, which was slightly larger than the ecological footprint of water resources. That means the Huaihe River Basin has been in short supply for a long time and there is a large demand for water in agricultural, industrial and domestic water [ 59 ]. However, the realization of water resource balance requires certain engineering and policy guarantee measures.…”

Section: Discussion and Suggestionsmentioning

confidence: 99%

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

Fan

Huang

et al. 2021

PLoS ONE

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Climate change, population growth, the development of industrialization and urbanization are increasing the demand for water resources, but the water pollution is reducing the limited water supply. In recent years, the gap between water supply and demand which shows water scarcity situation is becoming more serious. Clear knowing this gap and its main driving factors could help us to put forward water protection measures correctly. We take the data of Huaihe River Basin from 2001 to 2016 as an example and use ecological water footprint to describe the demand, with the water carrying capacity representing the supply. We analyze the water supply-demand situation of Huaihe River Basin and its five provinces from footprint view in time and space. Then we apply the Logarithmic Mean Divisia Index model to analyze the driving factors of the ecological water footprint. The results show that: (1) the supply and demand balance of Huaihe River Basin was only achieved in year 2003 and 2005. There is also a large difference between Jiangsu province and other provinces in Huaihe River basin, most years in Jiangsu province per capital ecological footprint of water is more than 1 hm2/person except the years of 2003, 2015, and 2016. But other provinces are all less than 1 hm2/person. (2) Through the decomposition of water demand drivers, we concluded that economic development is the most important factor, with an annual contribution of more than 60%. Our study provides countermeasures and suggestions for the management and optimal allocation of water resources in Huaihe River Basin, and also provides reference for the formulation of water-saving policies in the world.

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Section: Discussion and Suggestionsmentioning

confidence: 99%

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

Fan

Huang

et al. 2021

PLoS ONE

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“…What is more, the acoustic sounding method and high-precision acoustic amplifier can judge the water flow in the pipeline [51][52][53][54], which is worth further exploration. As the water supply system standard and the measures of water saving and the development stages vary between countries, the water consume estimation method should be adjusted according local conditions, and its accuracy needs to be further explored [38,40].…”

Section: Discussionmentioning

confidence: 99%

“…The water consumption [38][39][40] needs to be known to estimate the diameter of the buried inlet pipe that supplies water to building A. The main consumers in building A include some shops in the front rooms and a school canteen, with water primarily supplying bathrooms and kitchens.…”

Section: Buried Inlet Pipelinementioning

confidence: 99%

Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China

Deng

Zhang

et al. 2020

Sustainability

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An underground water supply pipeline system is an integral part of urban infrastructure. The safety, stability, reliability, and efficiency of this water system are critical for the daily work and livelihood of the people dependent on it. However, with the development of cities in China, the water supply systems in urban communities require constant re-building and improvement, which complicates the system. Considering the defects of obsolete design, lack of information, and irregularity of the constructions over the years, the maintenance of underground pipelines in older communities is onerous and arduous. In this work, the older pipeline system at the Taibai campus of Northwest University, Shaanxi Province, was taken as one typical old urban community and investigated by different measures. Detection was performed from the available concentrated water supply wells to surrounding areas combining electromagnetic induction, geophysical method by ground-penetrating radar (GPR), and acoustic detection methods. Applying the integrated detection method and considering known pipeline network designs, the properties and complex relationships of different pipeline materials (cast iron, polyethylene (PE), and polyvinyl chloride (PVC)) were determined. In addition, a spatial distribution map of the pipes from wells and the main input water supply pipelines was achieved. The results suggest that the integrated detection scheme combining these three methods provides an effective approach to analyze complex water supply pipelines in older communities, in which each single detection method has more uncertainties. The study provides valuable references for similar communities in many developing countries.

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“…It has been widely applied to the systematic management of water resources on basin [16], regional [17], and urban scales [18,19]. In water resource management, the SD model has not only been used to simulate internal processes of water resource systems but also to evaluate the impacts of population growth, industrial development, and other factors associated with water resource decision making [20][21][22]. Certain water resource decisions with single or combined goals have been made previously based on the results of SD model simulations [16,23].…”

Section: Introductionmentioning

confidence: 99%

System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Zhou

Wang

Huang

et al. 2021

Water

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Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the "prediction + dynamic regulation + optimization" framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

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Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function

Cited by 12 publications

References 23 publications

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China

System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

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