Multicriteria Decision-Making Approach to Enhance Automated Anchor Pixel Selection Algorithm for Arid and Semi-Arid Regions

Pourmohamad, Yavar; Ghandehari, Ahmad; Davary, Kamran; Shirazi, Pooya

doi:10.1061/(asce)he.1943-5584.0002006

Cited by 2 publications

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“…Migration policymaking is a multidimensional and complex process that involves and affects different spheres of society at different levels-local, regional, national, and international-and different socio-political actors (Borkert and Bosswick, 2007). Environmental change is likely to affect global migration flows in several ways, particularly by reducing livelihoods in countries depending on agriculture (Martin, 2013;Pourmohamad et al, 2019Pourmohamad et al, , 2020. Environmental migration is currently one of policymakers' top priorities (UN DESA, 2013; Ghandehari et al, 2020), with many scientific and policy studies addressing it as a potential security concern (Boas et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

et al. 2023

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Environmental changes can result in dramatic increases in human migration as households become unable to adapt to such changes. Addressing environmental migration is a complex puzzle that can become a wicked problem. Despite the growing literature on the nexus between environmental change and migration, the inextricable link between nature and society has made it difficult to establish causal relations between the two. To examine the relationship between environmental change and migration, it is necessary to develop a conceptual model that includes environmental changes as potential causes of rural-urban migration (RUM). Such a model should be built on an enhanced understanding of the different factors that stimulate environmentally induced RUM. This paper proposes such a model, focusing on loss of agricultural land, loss of agricultural productivity and the economic repercussions of these losses. The model is based on the model of Perch-Nielsen et al. but extends this model by incorporating additional factors. In our model, the three leading causes of RUM are climate change, human maladaptive activities, and hydro-climatic disasters (the push factors). In addition, there may be pull factors in the cities. RUM may be counteracted or reduced by governmental policy and individuals' characteristics. The model was applied to Iran. The results show that the model can help to bridge the knowledge gap regarding environmentally induced RUM and may inform policymaking on RUM and related issues, such as environmental management and adaptation to climate change.

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Section: Introductionmentioning

confidence: 99%

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

et al. 2023

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Drought monitoring using the long-term CHIRPS precipitation over Southeastern Iran

2022

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Climate change and global warming are often considered the main reason for water scarcity in Iran. However, there is little evidence showing that the arid/wet regions get drier/wetter due to climate change. Some researchers believe that parts of water challenges in Iran arise from bad governance and mismanagement of water resources. To address the role of climate change on the water scarcity, this study aims to detect the drought trends in the southeast of Iran to investigate drought characteristics changes during 1981–2020. The nonparametric Mann–Kendall test was used for this purpose. CHIRPS product was collected as an alternative source of ground data for trend analysis of drought characteristics. The evaluation metrics show that the CHIRPS product performs better at monthly and annual scales (correlation higher than 0.8) than daily (correlation less than 0.4). The results also illustrate that the duration and severity of short-term droughts (3, 6, and 9 months) have decreased, while their intensity has increased. Conversely, duration, severity, and intensity changes for long-term droughts (12, 18, and 24 months) are insignificant. The trend in the Standardized Precipitation Index (SPI) showed that, in general, the southeast of Iran has not been getting drier during the last four decades. One may conclude that the change in precipitation is not the only reason for water challenges in this area, and both natural and anthropogenic drought might cause water scarcity. Accordingly, it is suggested that the effects of human activities and governmental plans should be considered as well.

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Multicriteria Decision-Making Approach to Enhance Automated Anchor Pixel Selection Algorithm for Arid and Semi-Arid Regions

Cited by 2 publications

References 44 publications

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

Drought monitoring using the long-term CHIRPS precipitation over Southeastern Iran

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