This study investigates how land use and climate changes affect water yield ecosystem service (ES) in the Sirvan River basin, located in Iran’s Kurdistan and Kermanshah provinces. By detecting land-use and climatic parameter changes in the past, their future evolution were modeled by scenario making. For this purpose, we developed two land-use scenarios (low and high urbanization) and two climatic scenarios (Representative Concentration Pathway 2.6 and RCP 8.5). The implemented scenarios showed how the amount of water yield in the basin and sub-basins changes in the future based on climate and land-use changes. The results showed that, concerning land use, the forest has decreased from 2013 to 2019, and built-up areas have increased. Also, the results showed that precipitation has been declining in the long term, and the temperature has been rising. Finally, the Water yield in 2019 was higher than in 2013 and lower in the future based on forecast scenarios. This trend will continue until 2040. In addition, it was found that the t effects of these factors on water yield ES are a complex process, and based on the results, the impact of climatic factors is more significant than the one of land-use change. We could conclude that this region will face more environmental problems in the future.
Nuclear Power, in this current world, is one of the principle sources of energy world-wide. Electricity demand has to be met and nuclear power has the capacity needed for heat production in order to run the large turbines that generate electricity. Though this kind of power generation produces maximum power, it is a non-renewable source of energy and its effect on the environment is not predictable. Actual impact on the environment is very less, if the locating is carefully done. Also, nuclear power plant locating is an important action in environmental protection. Difference criteria should be paid attention in site selection, so using of special methods are necessary to assimilate the criteria. In this research, GIS software and Analytical Hierarchy Process were used. Weighted Linear Combination (WLC) is a relatively new MCDA which has presented more flexible and reliable results for site selection. In this paper, first of all, maps were built in considering to environmental factors, in next step, each layer, was graded. Low grade showed noncoordination or less coordination and high grade showed more coordination. Assimilate of graded map in WLC process, separates area into unsuitable, relative unsuitable, moderately suitable and suitable parts. Suitable parts can have high priority in decision making and also moderately suitable parts can have high priority for development projects in future. This paper reviews the application of WLC method in a GIS environment to select the optimum sites for nuclear power plants using case study in Hormozgan Province.
Among all the diverse regions of Iran, Marivan is considered one of the touring poles in the country thanks to its unique views which play an important role in providing ecotourism potential. Currently, despite the importance of the issue, no specific study and planning have been done to locate proper zones for an outing. In this regard, evaluation of the land potential for any kind of activity such as recreational planning is the first step in planning. In this study, we evaluated and zoned the ecotourism potential of Marivan in Kurdistan province with fuzzy logic, FAHP, and TOPSIS, based on 15 criteria and applying GIS, where the outcome was zoning map of areas most suitable for ecotourism development. The results indicated that a total area of 3183 km 2 (included in the study), classes 4 and 5, respectively, with 151 and 513 km 2 constitute the most appropriate zones for ecotourism development. Among points with ecotourism attraction, the Zarivar Lake claimed the top priority while Anjiran Heights received the last priority.
Water resources modeling can provide valuable information to planners. In this respect, water yield is an ecosystem service with significant roles in the sustainability of societies and ecosystems. The present study aimed to model the supply and demand of water resources and identify their scarcity and stress in the Sirvan river basin. For this purpose, we employed the ecosystem services concept as new thinking in earth sciences and using soil, climate, and land use data. Firstly, the Landsat satellite images of 2019 were prepared after different corrections, and the land use map was produced. Then, precipitation, evapotranspiration, root restricting layer depth, and evapotranspiration coefficients of the land uses were prepared and modeled in InVEST 3.8.9 software environment. The findings indicated that the water yield in this river basin is 5,381 million m3, with sub-basins 5, 11, and 1 having the highest water yield per year and sub-basin 2 having the lowest water yield. Moreover, sub-basins 5 and 11 had the highest water consumption. Based on the estimated water scarcity and stress index, sub-basin 8 has experienced water scarcity and sub-basin 4 water stress. We conclude that applying the InVEST Water Yield model to assess water resource status at the basin and sub-basins level can provide suitable results for planning.
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