Search Results (5)

In the absence of a transboundary water agreement between riparian states of Harirud River Basin, downstream states—Iran and Turkmenistan—have adopted a resource-capturing policy through the construction of Doosti Dam in the lower Harirud River Basin when the upstream state—Afghanistan—was engaged in social unrest during 1980s to the early 2000s. While Doosti Dam has a high potential of supplying water for major cities in Turkmenistan and Iran, its flow has declined due to climate changes and drought in the basin. The paper found that Iran accuses Afghanistan of blocking the flow of water through the construction of Salma Dam, whereas some Afghan and Iranian scholars critique Iran’s water management approach for water shortages through construction of dams and employment of unsustainable irrigation approaches in the lower Harirud River Basin. Additionally, the hydro-hegemony theory was critiqued as the theory under-estimates the broader role of outside basin players in influencing and reshaping the hydro-politics of a shared watercourse. Finally, it was concluded that the rapid drawdown of the US forces from Afghanistan along with the establishment of a fragile, weak, and politically unrecognized government-Islamic Emirates of Afghanistan—under Taliban administration—helped Iran to reinforce its hydro-hegemonic potential in the basin. Full article

Water resources are vital to the survival of living organisms and contribute substantially to the development of various sectors. Climatic diversity, topographic conditions, and uneven distribution of surface water flows have made reservoirs one of the primary water supply resources in Iran. This study used Landsat 5, 7, and 8 data in Google Earth Engine (GEE) for supervised monitoring of surface water dynamics in the reservoir of eight Iranian dams (Karkheh, Karun-1, Karun-3, Karun-4, Dez, UpperGotvand, Zayanderud, and Golpayegan). A novel automated method was proposed for providing training samples based on an iterative K-means refinement procedure. The proposed method used the Function of the Mask (Fmask) initial water map to generate final training samples. Then, Support Vector Machines (SVM) and Random Forest (RF) models were trained with the generated samples and used for water mapping. Results demonstrated the satisfactory performance of the trained RF model with the samples of the proposed refinement procedure (with overall accuracies of 95.13%) in comparison to the trained RF with direct samples of Fmask initial water map (with overall accuracies of 78.91%), indicating the proposed approach’s success in producing training samples. The performance of three feature sets was also evaluated. Tasseled-Cap (TC) achieved higher overall accuracies than Spectral Indices (SI) and Principal Component Transformation of Image Bands (PCA). However, simultaneous use of all features (TC, SI, and PCA) boosted classification overall accuracy. Moreover, long-term surface water changes showed a downward trend in five study sites. Comparing the latest year’s water surface area (2021) with the maximum long-term extent showed that all study sites experienced a significant reduction (16–62%). Analysis of climate factors’ impacts also revealed that precipitation ($0.51 \le { \mathrm{R}}^2 \le 0.79$) was more correlated than the temperature ($0.22 \le { \mathrm{R}}^2 \le 0.39$) with water surface area changes. Full article

In this article, we address the interaction of the Iranian State, an agent of power, with affected village residents, as four dam projects are planned and implemented. Dams, recently positioned as a green energy source, are a central component to Iran’s national development strategies; yet historically their construction has been a source of significant conflict and resistance around the world. We focus on ten villages facing displacement or partial loss of lands at the time of the research, and we answer the question: During dam building and resettlement processes, how have residents experienced their role in decision making and the exercise of state power over them? Through a lens of political ecology, we engage with Lukes’ theory of power to interpret data from 18 focus group discussions and 20 in-depth interviews with residents, as well as from 10 interviews with local and state authorities. This case study illustrates how, from the perspectives of residents of rural communities, the Iranian State applies its power over them through multiple, simultaneous means. Coercion, non-decision making, and the withholding of information emerge from analysis as the primary successful mechanisms, while discursive consent-production emerges as largely unsuccessful. We demonstrate how lack of data or other information provision for natural resource development projects can be an important lever the state uses to exercise power, especially when combined with non-decision making. Although all Lukes’ dimensions of power apply to this case, non-decision making was most severe in its experienced effects, as residents suffered from uncertainty and an inability to move forward with individual plans. Our research provides insight into how conflicts over state-sponsored dam building can embody the contest between a sustainable development centered on justice/equity and one centered on economic growth. Full article

The declining water level in Lake Urmia has become a significant issue for Iranian policy and decision makers. This lake has been experiencing an abrupt decrease in water level and is at real risk of becoming a complete saline land. Because of its position, assessment of changes in the Lake Urmia is essential. This study aims to evaluate changes in the water level of Lake Urmia using the space-borne remote sensing and GIS techniques. Therefore, multispectral Landsat 7 ETM⁺ images for the years 2000, 2010, and 2017 were acquired. In addition, precipitation and temperature data for 31 years between 1986 and 2017 were collected for further analysis. Results indicate that the increased temperature (by 19%), decreased rainfall of about 62%, and excessive damming in the Urmia Basin along with mismanagement of water resources are the key factors in the declining water level of Lake Urmia. Furthermore, the current research predicts the potential environmental crisis as the result of the lake shrinking and suggests a few possible alternatives. The insights provided by this study can be beneficial for environmentalists and related organizations working on this and similar topics. Full article

Channel adjustments in Iranian rivers have been intense over the last decades due to natural and human factors. Iran has six major basins, all with different climates, from very humid to very arid. This work is a review of the available studies and data about channel adjustments in Iranian rivers, and aims to reconstruct a first outline, at a national scale, of types, magnitude, and causes of adjustments. The results show that most of the rivers have undergone incision (1 to 2 m and, in some cases, up to 6 to 7 m) and narrowing (from 19% to 73%), although widening (from 22% to 349%) has occurred in some rivers. Narrowing is due to dams and sediment mining; widening is due to climate change and sediment mining. Incision is due to gravel and sand mining, dams, channelization, with in-channel mining being the main cause of incision. Channel adjustments have occurred in basins with different climates, but it seems that widening has been more intense in arid and semi-arid climates. Such adjustments have several negative effects (e.g., damage to bridges, degradation of river ecosystems, and instability of banks). The comparison between Iran and other countries shows that narrowing and incision have been the dominant processes in most of the rivers, while damming and in-channel mining have been used as the main controlling factors. Data about adjustments in Iranian rivers are neither homogeneous nor complete for all the rivers. This lack of completeness implies that our understanding of channel changes, and their causes, should be improved by further investigation. Full article