Multiple Urban Domestic Water Systems: Method for Simultaneously Stabilized Robust Control Decision

Li, Kebai; Ma, Tianyi; Wei, Guo

doi:10.3390/su10114092

Cited by 6 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tables 4 and 5 demonstrate that the error rate between all simulated data and real data was below 10%, which means the model was in line with the actual situation and can be considered to be adequate to forecast further time steps [40]. Therefore, the developed model could be used to analyze and forecast the dynamic change of water quality in the next step.…”

Section: Model Validationmentioning

confidence: 77%

System-Dynamics Modeling for Exploring the Impact of Industrial-Structure Adjustment on the Water Quality of the River Network in the Yangtze Delta Area

Wang

Yan

2021

Sustainability

View full text Add to dashboard Cite

The coordinated development of the environment and economy is the core of sustainable development. This research investigated sustainable water-quality management by exploring the impact of socioeconomic activities on water quality associated with a major global city. To achieve this goal, a system dynamics (SD) model was developed to capture the feedback processes and interactions between the water quality; population; water resource; and the primary, secondary, and tertiary sectors of the Yangtze Delta area, especially Jiaxing City. More importantly, we further subdivided and identified the nine key subindustries within three sectors as high-polluting factors. Using this model, five scenarios based on different industrial restructurings were investigated. The simulation results suggested that Jiaxing City’s water quality would conform to a steadily increasing trend over 2021–2035. Changes in the farming industry have the most significant impact on water quality, followed by those in the paper and paper production (PPP) industry and the livestock and poultry breeding (LPB) industry. In terms of individual pollutant concentrations, the concentrations of COD and TN were most sensitive to changes in the farming industry, while PPP and LPB were identified as having the most influence on the concentrations of NH3-N and TP, respectively. It is feasible for Jiaxing City to improve its water quality through collaborative optimization of three industries. However, the effect of industrial structure adjustment is limited. Strategies comprising cleaner production should be undertaken to reduce pollution generation.

show abstract

Section: Model Validationmentioning

confidence: 77%

System-Dynamics Modeling for Exploring the Impact of Industrial-Structure Adjustment on the Water Quality of the River Network in the Yangtze Delta Area

Wang

Yan

2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…With the development of the social economy, the demand for ecological water resources is increasing, and in the process of sponge city construction, an increasing number of people start to concentrate in the city, thus increasing the amount of water that is used. Ecological water is the most important link in the urban ecosystem, as it can protect the urban ecological environment, reduce the urban heat island effect, and purify the air [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 ]. There is a close link between the use of ecological water resources and manufacturing processes; indeed, water plays an irreplaceable role in industrial production, as nothing can occur without using water.…”

Section: Research Hypothesismentioning

confidence: 99%

The Economic Value of Water Ecology in Sponge City Construction Based on a Ternary Interactive System

Zhou

Wang²,

Wang³

et al. 2022

IJERPH

View full text Add to dashboard Cite

Ecological water resources occupy a vital position in the national economy; without sufficient ecological water resources, the construction and economic development of sponge cities would be seriously restricted. Appropriately, the Chinese government proposed that sponge city planning should be carried out in accordance with the number of available ecological water resources. The government therefore put forward the method of conservation and intensification to solve the problem of water shortage. This paper highlights the interactions between ecological water resources, sponge cities, and economic development in northern China, starting with the interaction and mechanism of action that concerns ecological water resource utilization, sponge cities, and economic development. In the empirical test, the dynamic changes of the three indicators were analyzed empirically using the panel data vector autoregression method, and the dynamic relationship of each factor was measured using generalized moment estimation. It was found that ecological water resources are a key factor in promoting regional economic development, and the relationship between ecological water resources and sponge cities is both supportive and constraining; therefore, the constraints that ecological water resources place on sponge cities also indirectly affects economic development. To disconnect the use of water and ecological resources from economic development, it is necessary to note the following: the feedback effect of economic development and the resolution of the contradiction between sponge cities, water, and ecological resource use.

show abstract

“…If the error is less than 10%, the model can be considered to be accurate, and the model can be used for subsequent predictive analysis. If the error value is higher than 10%, the model should be re-adjusted [28][29][30][31][35][36][37][38][39][40]. Hence, it may also be considered that the model built in this paper is in line with the actual situation and can be used for the next step of predictive analysis.…”

Section: Variable Initial Valuementioning

confidence: 99%

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

Li¹,

Ma²,

Wei³

et al. 2019

Sustainability

View full text Add to dashboard Cite

In order to meet the needs of water-saving society development, the system dynamics method and the Cobb-Douglas (C-D) production function were combined to build a supply and demand model for urban industrial water use. In this model, the industrial water demand function is expressed as the sum of the general industrial water demand and the power industry water demand, the urban water supply function is expressed as the Cobb-Douglas production function, investment and labor input are used as the control variables, and the difference between supply and demand in various situations is simulated by adjusting their values. In addition, the system simulation is conducted for Suzhou City, Jiangsu Province, China, with 16 sets of different, carefully designed investment and labor input combinations for exploring a most suitable combination of industrial water supply and demand in Suzhou. We divide the results of prediction into four categories: supply less than demand, supply equals demand, supply exceeds demand, and supply much larger than demand. The balance between supply and demand is a most suitable setting for Suzhou City to develop, and the next is the type in which the supply exceeds demand. The other two types cannot meet the development requirements. We concluded that it is easier to adjust the investment than to adjust the labor input when adjusting the control variables to change the industrial water supply. While drawing the ideal combination of investment and labor input, a reasonable range of investment and labor input is also provided: the scope of investment adjustment is 0.6I 0 − 1.1I 0 , and the adjustment range of labor input is 0.5P 0 − 1.2P 0 .Sustainability 2019, 11, 5893 2 of 18 include the quota method and the sampling method. The sampling method has a higher difficulty in selecting the typical samples and is not easy to implement [4]. Therefore, the quota method has been become widely employed in the research of industrial water consumption.With the development of the society, "set production by water and set the city by water" is an inevitable trend in the future. In terms of urban water management, many scholars have conducted a variety of research. They tried to use different methods to model water supply and demand balance. Idowu et al.[5] studied the Abeokuta and suburban drinking water supply systems in the southwestern part of Nigeria, estimating the water demand based on population growth and per capita water use in 2030. Kralisch [6] proposed the use of neural network methods to solve the balance between urban water diversion and efficiency of agricultural water. Ahmed Saad Al-Shutayri et al.[7] analyze a scenario-based modeling used in conjunction with Water Evaluation and Planning (WEAP) software to find the best combination of scenarios that meet future water demands. They think this model can analyze the unmet water demands, water demand, supply delivered, and supply requirement for each scenario. Malika Kahlerras et al. [8] build the WEAP model to assess and analyze the current an...

show abstract

Multiple Urban Domestic Water Systems: Method for Simultaneously Stabilized Robust Control Decision

Cited by 6 publications

References 18 publications

System-Dynamics Modeling for Exploring the Impact of Industrial-Structure Adjustment on the Water Quality of the River Network in the Yangtze Delta Area

System-Dynamics Modeling for Exploring the Impact of Industrial-Structure Adjustment on the Water Quality of the River Network in the Yangtze Delta Area

The Economic Value of Water Ecology in Sponge City Construction Based on a Ternary Interactive System

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

Contact Info

Product

Resources

About