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Showing 5 results for Adaptation

Esmaeail Ahmadi, Zahra Hejazizadeh, Bohlol Alijani, Mohammad Saligheh, Hassan Danaie Fard,
Volume 15, Issue 36 (6-2015)
Abstract

The more exposure to Climate change / variability, the more vulnerability and a community with low adaptive capacity and high sensitivity is more vulnerable. Vulnerability reduction depends on adaptation policy and strategies. Designing and assessing these strategies require climate vulnerability (CV) measuring. To produce a new CV index, as a main propose of this study, first: The score of exposure factor for two five span years was calculated based on four synoptic stations data (Zabol, Zahedan, Iranshahr and Chabahar). Second: The scores of adaptive capacity and climate sensitivity were determined using all of the country census and yearbook data for 1385 and 1390. Third: Due to the nature and factors of vulnerability, a climate vulnerability index was developed based on the multiplicative-exponential model (CVIMEM). Forth: The index was calculated for the province and sub regions. The result shows, although the Sistan and Baluchistan (SB) adaptation capacity was increased, but because of the increased exposure and sensitivity, this province is 16.3% more vulnerable. Area with very high vulnerability label expanded from 57.5% to 100%, which reflects the spatial expansion of vulnerability over SB. The overall result is that vulnerability reduction needs for accurate and continuous measurement, on the increase adaptation capacity and mitigate climate sensitivity.
D.r Hossein Jahantigh, Amir Bakhshi, Rezvan Ghorbani Salkhord,
Volume 22, Issue 67 (12-2022)
Abstract

Identifying barriers and adaptation requirements is crucial for the successful implementation of climate change adaptation practices at the local level, especially in mountainous rural communities with limited local resources and technology. Due to the importance of this issue, in the present study, the barriers and requirements for adaptation to climate change in mountainous villages were investigated. The present research is descriptive-analytical in terms of purpose and method. The data collection tool was a questionnaire, free interview and observation of the researcher from the study area. The statistical population of rural households is Papi section of Khorramabad city (N = 2346). Using Cochranchr('39')s formula and sampling method, 330 households were selected as a sample. To analyze the data, descriptive statistics and exponential exploratory co-integration rank test (Johansen method) were used. The results showed that farmers in the mountainous villages of the study area face several adaptation barriers that are more serious institutional, normative, technological and information and cognitive barriers. Given that adaptation conditions are an important factor in reducing or eliminating adaptation barriers and improving farmerschr('39') adaptation capacity to climate change, local economic development, local infrastructure, production technology, and the granting of micro-credentials are the most prominent adaptation requirements in these were the grounds. In addition, due to the effective role of government, cooperatives and villagers themselves in rural development, a rational adaptation framework for selecting optimal adaptation strategies in cooperation with these three, as appropriate regional adaptation measures and policies for research proposals was presented.

Mr Hasan Yavarian, Dr Hamid Jalalian, Dr Asghar Tahmasebi,
Volume 23, Issue 71 (12-2023)
Abstract

Water Resource plays a pivotal role in sustainable development of every area, especially in rural areas. The challenge of dehydration is one of the greatest challenges in 21st century because it can be the source of many of the world's social and ecological changes. The agricultural sector as the most important economic sector in the rural areas is directly affected by the shortage of water resources. Identifying the attitudes and solutions of indigenous farmers in facing to water deficiency plays a key role in appropriate strategies and improving the capacity of local communities to adapt to it. The purpose of this study was to investigate the attitude of farmers in the villages of Bahar County in Hamadan province toward the challenge of dehydration and identify appropriate strategies and strategies for mitigation and adaptation in the region. This research is a descriptive-analytical study. The statistical population of the study is 68 villages in Bahar County with 18376 households. According to Cochran formula, there was needed to complete the questionnaire by 375 farmers as the number of the samples. The main data were collected through a field survey using a questionnaire. The sampling method was random and the number of samples in each village was determined by proportionate stratified sampling based on the number of farmers and the questionnaires were completed randomly. Data analysis was performed using confirmatory factor analysis in Lizrel software. The attitude of the villagers towards the aridity challenge was respectively cognitive attitude with (0.883), behavioral attitude with (0.867) and emotional attitude with (0.517) of factor analysis. Therefore, it can be concluded that the villagers' attitude to the challenge of dehydration is a cognitive-behavioral. Based on this, 12 strategies consistent with the status of the region have been proposed for optimal resource management and crop water productivity.

Fatemeh Raouf, Mohammad Motamedi, Aliakbar Poorahmad,
Volume 23, Issue 71 (12-2023)
Abstract

Social health and social capital are considered one of the important indicators of development in the new international assessment, because the health of the individual and the society are so interdependent that it is impossible to set boundaries between them. The health status of people in the society affects the health of others and their emotions in various ways, as well as the socio-economic indicators of the society. The purpose of this research is to investigate the effect of public participation in order to increase the social health of the citizens of Shirvan. The research method is a survey, and the main tool for data collection is a questionnaire. The statistical population in the present study is all the residents of Shirvan city, and using Cochran's formula, the number of 384 people was determined as a statistical sample. The obtained results showed that among the dimensions of participation, the physical dimension with a value of 4.24 has the highest average. Among the dimensions of the social health index, the dimension of social cohesion with an average value of 4.75 has the highest average. . Finally, PLS statistical test was used to investigate the effect of the independent variable (participation of Shirvani citizens) on the dependent variable (social health) and the obtained coefficients showed that the independent variable (participation) has the greatest effect on the dependent variable (social health) in the physical dimension. Physical with a value of 36.031, and the least impact on the economic dimension with a value of 28.289 has been obtained


Hamid Salehi, Mohammad Motamedi, Ezatollah Mafi,
Volume 25, Issue 79 (12-2025)
Abstract

Based on climatic model simulations, global temperatures can be expected to rise by 1 to 5.5 degrees Celsius by 2100. Given the consequences of climate change, recognizing this phenomenon is important in order to have a specific strategy to reduce its effects. In order to study the trend of climate change using Kendall Mann method was evaluated and according to the selected criteria affecting green space and weighting by AHP method, green space adaptation index for Sabzevar city until 2040 was calculated. Changes in urban green space were assessed using satellite imagery and the NDVI index. The decrease in the area of ​​green space along with the expansion of the urban area in the period under study is clearly visible (during the statistical period under study, which corresponds to the historical period of climate models and observational data of Sabzevar). This study also shows that the increase in temperature in the next decade (2030-2021) will continue with greater intensity. In the next step, the per capita urban green space was calculated. According to the results of studying climate data, creating green space in proportion to climate change can play an effective role in adapting the city of Sabzevar to climate change. The use of climate-friendly green space and its changes will reduce greenhouse gases and provide a more suitable climate for humans and their activities. Due to the horizontal growth of the city and the rate of population growth, the amount of adaptation will decrease from 0.48 (in the basic period) to 0.32 in the period 2030-2021. A total of 15 indicators in four cultural, managerial, technological, ecological and plant criteria or each other in ArcGIS software were combined based on the coefficients of importance obtained by experts in the Expert Choice software


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