Banafsheh Aliabbasi’s research while affiliated with Shahid Beheshti University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


Figure 1. Study area, Tehran, and its land use classification.
Figure 3. Spatial analysis of 12 dominant types of land use in Tehran: (a) residential; (b) residentialcommercial; (c) commercial-urban services; (d) commercial-ministerial; (e) residential-urban services; (f) urban services; (g) urban infrastructure equipment; (h) martial; (i) green spaces; (j) urban agriculture; (k) barren; (l) lakes and pools.
Figure 3. Spatial analysis of 12 dominant types of land use in Tehran: (a) residential; (b) residentialcommercial; (c) commercial-urban services; (d) commercial-ministerial; (e) residential-urban services; (f) urban services; (g) urban infrastructure equipment; (h) martial; (i) green spaces; (j) urban agriculture; (k) barren; (l) lakes and pools. Land 2022, 11, x FOR PEER REVIEW 11 of 28
Figure 4. Spatial analysis of factors affecting water consumption in Tehran: (a) deteriorated area (%); (b) buildings over 30 years old (%); (c) migrants; (d) built-up area ratio (%); (e) average residential floor area; (f) population density.
Figure 6. Cont.

+8

A Neighborhood-Based Urban Water Carrying Capacity Assessment: Analysis of the Relationship between Spatial-Demographic Factors and Water Consumption Patterns in Tehran, Iran
  • Article
  • Full-text available

December 2022

·

247 Reads

·

8 Citations

·

·

·

[...]

·

The upward trajectory of urbanization, coupled with the ever-growing demand for more water resources, has led to increased pressure on limited water resources, particularly in cities with dry climates such as Tehran. Since the balance of Tehran’s water ecosystems has been disturbed, and the quality and quantity of water resources have been affected in recent years, conducting an assessment of water environment carrying capacity (WECC) seemed vital for this city. WECC was used as the basis of water supply sustainability evaluation concerning Tehran’s land use and demographic characteristics on a neighborhood scale. Therefore, the effect size and correlation of 12 types of land use and six variables derived from the literature with water consumption patterns were examined in warm and cold seasons. The results show that land use, population density, percentage of deteriorated area, percentage of buildings over 30 years old, residential–commercial land use, and green spaces correlate significantly with water consumption. The percentage of deteriorated areas and buildings over 30 years old has a negative, and the rest has a positive impact on water consumption. It is also recommended to use the research findings to improve Tehran’s water environment carrying capacity and apply the proposed evaluation procedure to other cities. The results of this research can be used in planning large and densely populated cities with a neighborhood-oriented approach, in which local institutions play an essential role in attracting people’s participation and inclusive urban planning.

Download

Citations (1)


... For example, demographic parameters and income levels of the population [15,16] are important for assessing the overall demand for water consumption and significantly affect the pressure in the system, but their changes occur gradually and do not reflect instantaneous fluctuations in consumption. Similarly, the structure of urban development [15,16] plays an important role in shaping water supply needs, but its influence is poorly amenable to rapid adjustment, so in real conditions, such data are rarely used for the adaptive management of water intakes [17]. ...

Reference:

Intelligent Methods of Operational Response to Accidents in Urban Water Supply Systems Based on LSTM Neural Network Models
A Neighborhood-Based Urban Water Carrying Capacity Assessment: Analysis of the Relationship between Spatial-Demographic Factors and Water Consumption Patterns in Tehran, Iran