Search published articles


Showing 2 results for Psir Framework

Kamran Shayesteh, Mojtaba Ghandali,
Volume 5, Issue 4 (12-2017)
Abstract

Background: Along with rapid economic growth, many natural regions, meadows, farms, etc. have been converted into unbridled urban areas. Urban development converts natural areas into districts full of buildings leading to disrupted ecological balance of the ecosystem. The carrying capacity (CC) of urban ecosystems needs to be estimated because they require large amounts of materials and energy as well as the ability of pollutant absorption in a small location. The amount of material and energy used in cities may be more than of that provided by urban CC. High consumption rate is associated with high levels of contamination that transcends the UCC. Therefore, the CC of the urban environment and its population capacity must be evaluated for urban development planning.
Materials and Methods: In this study, UCC load number within the pressure-state-impact-response (PSIR) framework and 20 indicators were used to evaluate the CC and pressure on the urban ecosystem of Semnan.
Results: According to the results, the load number in the district 1 was equal to 180.05with a low to moderate pressure on the urban ecosystem. The load numbers in districts 2 and 3 were respectively 230.41 and 272.86 imposing a moderate to high pressure on urban ecosystem.
Conclusions: Because of the greater population density in the District 3, materials and energy consumption and waste production was higher leading to a higher pressure on the urban ecosystem.
Zeinab Karimi, Ali Talebi,
Volume 11, Issue 4 (12-2023)
Abstract

Aims: The current research was conducted with the purpose of analyzing the land use change in a 20-year period. In this regard, an integration of remote sensing and the DPSIR framework was done to investigation of the land use change in the Eskandari Watershed located in the Zayandeh roud Watershed.
Materials & Methods: Through conducting a workshop and stakeholder interactions, a set of drivers (D), pressures (P), state (S), impacts (I), and responses (R) were identified and investigated in the DPSIR framework. Satellite images of Landsat 5 and 8 (2011 and 2021) and the Markov model for predicting the land use changes (2031) were used to investigate the dynamics of land use change. Maps of land use the three times, the focus group discussions (FGDs), expert’s experiences and stakeholders were applied using an interview and questionnaire methods to identify the changes components based on the DPSIR framework.
Findings: The findings of the research showed that in 2011, 2021, and 2031, irrigation and dry farming were the best kind of land use in the Eskandari Watershed, covering 42.16%, 40.66%, and 52.19% of the total area, respectively. Also, moderate rangeland (28.57%), in the Eskandari Watershed showed a declining trend.
Conclusion: Due to the increasing process of land use destruction in the future and the ineffectiveness of solutions in the past years, to prevent the cross-sectional strategy of the isusues, is recommended to use the DPSIR comprehensive approach for problem solving and optimal management responses

Page 1 from 1