نوع مقاله : پژوهشی کاربردی
نویسندگان
1 استادیار، دانشکده علوم جغرافیایی و برنامه ریزی، دانشگاه اصفهان، اصفهان، ایران
2 دکتری جغرافیا و برنامه ریزی آمایش سرزمین، دانشگاه خوارزمی، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Today, villages are increasingly recognized as vital areas for tourism, making it essential to focus on various aspects of their management and development. One critical area of concern is the evaluation of tourism-targeted villages in terms of natural hazards, particularly for sustainable development. This research aims to assess the flood risk vulnerability of tourism villages in the Chaharmahal and Bakhtiari province. Using a descriptive-analytical method based on spatial data, we emphasized six criteria: elevation, slope, geology, land cover, waterways, and rainfall.Flood risk assessment was conducted using the Boolean method and overlapping operations based on both optimistic and pessimistic scenarios. The results indicated that, under the optimistic scenario, 97.11 square kilometers of the area are at risk of flooding, including Rostam Abad village. However, in the pessimistic scenario, over 16,001.98 square kilometers, equivalent to 98.62 percent of the region, are at risk. This scenario revealed that 14 out of the 18 tourist villages, including Rostam Abad, Chalwan, Swadjan, Yase Chai, Pirghar, Rostam Baig, Birahgan, Dimeh, Sheikh Ali Khan, Niakan, Dezak, Dorak, Doplan, and Barez, are vulnerable to flood risk and are in precarious conditions. Based on these findings, it is evident that Rostam Abad village is at risk of flooding in both scenarios. Additionally, the significant risk faced by other villages in the pessimistic scenario should not be overlooked. Consequently, it is crucial to implement appropriate planning and executive-operational measures to mitigate flood risks in these areas.
Extended Abstract
Introduction
Flood risk in various rural areas, including tourist villages, is considered one of the most significant risks. The risk of flooding and its impact on tourist villages is a critical area of study that requires attention. Understanding the relationship between flood risk and tourism is crucial for developing post-disaster management policies and strategies. One of the key factors to consider regarding the impact of flood risk on tourist villages is its potential economic and social consequences. The disruption caused by floods can significantly damage the infrastructure and amenities that attract tourists to these villages, leading to reduced tourist numbers, loss of income for local businesses, and overall negative effects on the community. Moreover, understanding the specific vulnerabilities of tourist villages to flood risk is essential for implementing targeted mitigation and adaptation measures. By identifying the unique challenges facing these communities, policymakers and stakeholders can develop resilience strategies that address the specific needs of tourism-dependent regions. Undoubtedly, the relationship between flood risk and tourist villages is a multifaceted issue that requires a comprehensive approach. Through further research and integration of diverse perspectives, sustainable solutions can be developed to protect the livelihoods and well-being of tourism-dependent communities in flood-prone areas. Given this, identifying areas exposed to risks, including flood risk in tourism villages, is crucial for better development of these spaces. The tourism villages in Chaharmahal and Bakhtiari province can serve as a suitable case study for assessing flood risk. This region, characterized by its mountainous terrain and unique natural features, provides an ideal setting to study flood risk. Identifying challenges, including predicting flood risk and integrating crisis management into rural tourism development, can be a decisive step towards sustainable tourism development in this region. Therefore, the purpose of this research is to evaluate tourist villages in terms of flood risk vulnerability. Accordingly, the main research question is formulated as follows: What is the flood risk vulnerability situation of tourism villages in Chaharmahal and Bakhtiari province?
Methodology
This research is descriptive-analytical in nature and practical in purpose. The data includes spatial data from the mapping organization as well as meteorological statistics. First, the effective criteria for evaluating tourist villages in terms of flood risk vulnerability were identified. Various criteria have been used in different studies. In this research, six criteria were used: elevation, slope, geology, land cover, waterways, and precipitation. Initially, the criteria were standardized to ensure all had the same unit. Based on the review of the literature and previous research, the standards and characteristics of flood risk were extracted and considered for each criterion. In this research, the Boolean method was used to weight the sub-criteria. In this method, flood-prone areas were assigned a code of zero, and areas without risk were assigned a weight and identified with a code of one. This process was applied to all six criteria, and the maps were generated with two layers: zero and one. Next, the obtained maps were overlapped using AND and OR algorithms, known as the pessimistic (AND) and optimistic (OR) scenarios. Through this process, the status of tourist villages was determined based on the calculated vulnerability to flood risk. The maps were prepared using ArcGIS software. Additionally, the IDW (Inverse Distance Weighting) algorithm was used to prepare the precipitation pattern, the Distance algorithm to prepare the distance map from waterways, and the Slope algorithm to prepare the slope map.
Results and Discussion
The findings of the research showed that in the optimistic scenario, 97.11 square kilometers of the area are at risk of flooding, including Rostam Abad village. However, in the pessimistic scenario, more than 16,001.98 square kilometers, equivalent to 98.62 percent of the region, are at risk of flooding. In this scenario, 14 out of 18 tourist villages, including Rostam Abad, Chalwan, Swadjan, Yase Chai, Pirghar, Rostam Bey, Birahgan, Dimeh, Sheikh Ali Khan, Niakan, Dezak, Dorak, Duplan, and Barez, are vulnerable to flood risk, placing them in unfavorable conditions. Based on the results, it can be concluded that in both scenarios, Rostam Abad village is at risk of flooding. Other villages in the pessimistic scenario should also not be ignored. Therefore, planning and appropriate executive-operational measures should be emphasized in this field.
Conclusion
Natural hazards always threaten villages, arising from various conditions. One of the most significant risks in rural areas is flooding. Flood risk consistently causes irreparable damage to rural areas across social, economic, and physical aspects. In this context, tourist villages suffer greater losses due to their unique locations and developed infrastructure. Therefore, identifying villages at risk of flooding can be a positive step towards better management and development, as well as mitigating potential future crises. Chaharmahal and Bakhtiari provinces, due to their geographical location and numerous tourist villages, are suitable regions for investigating this issue. This research examines the tourist villages of this province in terms of flood risk vulnerability. The results showed that all the investigated factors, including elevation, slope, geology, land cover, rainfall, and waterways, are effective in controlling and determining the degree of flood risk vulnerability. The distribution of the studied tourist villages on each of the maps confirms this well.
Financial sponsor
According to the responsible author, this article has no financial sponsor.
Contribution of the authors to the research
The first author: participated in all stages of the research
Second author: writing the introduction literature review and research records and final review of the article.
Conflict of interest
The authors declare that they have no conflict of interest in writing or publishing this article.
Appreciation and thanks
The authors sincerely thank all the people who have cooperated with them in collecting field data.
کلیدواژهها [English]