Strategic Research on Urban Stormwater Resource Utilization in the Resource Water Shortage Cities - Base on Stormwater Data of 58 Resource Water Shortage Cities

2013 ◽  
Vol 777 ◽  
pp. 380-385 ◽  
Author(s):  
Chang Fu Huang ◽  
Jing Zhou

Based on the resource water shortage cities as the research object in this paper, we use the factor analysis method to evaluate the degree of water shortage in the resource water shortage cities, while these factors include the unit of GDP water consumption, the unit of industrial output water consumption, per capita water resource, the city population, per capita domestic water consumption and the average annual rainfall. We also take Tianjin, which is most seriously lacking water resource, as a case study, and the case reveals the importance of urban stormwater utilization in the resource water shortage cities. Finally, we propose some strategic measures to utilize urban stormwater resource in the resource water shortage cities.

2015 ◽  
Vol 15 (6) ◽  
pp. 1304-1311
Author(s):  
Marco Maglionico ◽  
Irena Stojkov

Swimming pools are heavy consumers of potable water and energy in cities. Despite this, the lack of monitoring requirements produces a lack of references for their water consumption. This paper aims to fill this gap by presenting a case-study water consumption analysis of a public swimming pool in the city of Bologna (Italy). After upgrading the water fixtures and filters in summer 2012, consumption and attendance at the Cá Selvatica swimming pool were monitored. With an average daily attendance of 88.6 people/day, taking into account both personal and technical consumption, an overall per capita consumption of about 96.1 l/person/day was determined. The water demand for personal uses only (showers, toilets, etc.) was found to be about 44.6 l/person/day. These values can be used to assess retrofitting benefits and water consumption benchmarks.


Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  

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.


Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2620 ◽  
Author(s):  
Wenge Zhang ◽  
Xianzeng Du ◽  
Anqi Huang ◽  
Huijuan Yin

Proper water use requires its monitoring and evaluation. An indexes system of overall water use efficiency is constructed here that covers water consumption per 10,000 yuan GDP, the coefficient of effective utilization of irrigation water, the water consumption per 10,000 yuan of industrial value added, domestic water consumption per capita of residents, and the proportion of water function zone in key rivers and lakes complying with water-quality standards and is applied to 31 provinces in China. Efficiency is first evaluated by a projection pursuit cluster model. Multidimensional efficiency data are transformed into a low-dimensional subspace, and the accelerating genetic algorithm then optimizes the projection direction, which determines the overall efficiency index. The index reveals great variety in regional water use, with Tianjin, Beijing, Hebei, and Shandong showing highest efficiency. Shanxi, Liaoning, Shanghai, Zhejiang, Henan, Shanxi, and Gansu also use water with high efficiency. Medium efficiency occurs in Inner Mongolia, Jilin, Heilongjiang, Jiangsu, Hainan, Qinghai, Ningxia, and Low efficiency is found for Anhui, Fujian, Jiangxi, Hubei, Hunan, Guangdong, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, and Xinjiang. Tibet is the least efficient. The optimal projection direction is a* = (0.3533, 0.7014, 0.4538, 0.3315, 0.1217), and the degree of influence of agricultural irrigation efficiency, water consumption per industrial profit, water used per gross domestic product (GDP), domestic water consumption per capita of residents, and environmental water quality on the result has decreased in turn. This may aid decision making to improve overall water use efficiency across China.


2019 ◽  
Author(s):  
Jiawei Yi ◽  
Yunyan Du ◽  
Fuyuan Liang ◽  
Tao Pei ◽  
Ting Ma ◽  
...  

Abstract. This study explored city residents’ collective geo-tagged behaviors in response to rainstorms using the number of location request (NLR) data generated by smartphone users. We examined the rainstorms, flooding, NLR anomalies, as well as the associations among them in eight selected cities across the mainland China. The time series NLR clearly reflects cities’ general diurnal rhythm and the total NLR is moderately correlated with the total city population. Anomalies of NLR were identified at both the city and grid scale using the S-H-ESD method. Analysis results manifested that the NLR anomalies at the city and grid levels are well associated with rainstorms, indicating city residents request more location-based services (e.g. map navigation, car hailing, food delivery, etc.) when there is a rainstorm. However, sensitivity of the city residents’ collective geo-tagged behaviors in response to rainstorms varies in different cities as shown by different peak rainfall intensity thresholds. Significant high peak rainfall intensity tends to trigger city flooding, which lead to increased location-based requests as shown by positive anomalies on the time series NLR.


2013 ◽  
Vol 689 ◽  
pp. 167-171
Author(s):  
Xiang Yang Jiang ◽  
Ching Hin Law ◽  
Jian Kun Yang

Building is a significant contributor for water consumption and it is necessary to increase water use efficiency. This research introduced the current problem in calculating water quota, discussed the calculation of domestic and miscellaneous water consumption and proposed the calculation method for the consumption of unconventional water resource. Finally by a case study, this paper summarized the calculation method and procedure for utilization ratio of unconventional water resource.


Author(s):  
Y. Yang

Abstract In the paper, Data Envelopment Analysis Tobit (DEA-Tobit) two-stage model was used to evaluate the efficiency of water-resource utilization, and regional differences and influencing factors water-resource utilization were analyzed. The results of the analysis of regional differences show that China's water-use efficiency is relatively low. Only Beijing, Shanghai, and Fujian have water-use efficiency higher than 0.8, whereas most other provinces and cities have an efficiency 0.3–0.8, there are regional differences in water-resource utilization efficiency in China, with the eastern region being higher than the central and western regions. The analysis of the influencing factors of regional differences in water-use efficiency found that per capita water resources, per capita domestic water use, and the proportion of primary and secondary industries all have a negative impact on the efficiency of water use, and per capita GDP has a positive impact on the efficiency of water use. Agricultural water consumption, industrial water consumption, domestic water consumption, and total ecological water consumption all have a negative impact on water-resource utilization efficiency, of which water consumption and industrial water consumption have a greater impact. Technological level and water-resource utilization efficiency have shown a significant positive correlation.


2020 ◽  
Vol 20 (8) ◽  
pp. 3576-3584
Author(s):  
Lee P. Leon ◽  
Barkha Chaplot ◽  
Akil Solomon

Abstract Water scarcity is one of the world's fastest growing epidemics. Therefore, to combat it or mitigate the risks one must first understand how water is being consumed. This study focuses on the analysis of domestic water consumption with reference to how much of it is being consumed. Additionally, the study aims to propose an applicable and consistent method to forecast urban water consumption by using soft computing techniques. The investigation highlights the hourly, daily and monthly water consumption levels as well as the relationship between climate change and water demand using gene expression programming (GEP). The results of the study are relatively promising as it demonstrates that GEP can predict water consumption incorporating seasonal changes of wet and dry periods.


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