maede nasry; Mohammad Jafari; Hossein Azarnivand; Hamed Rafiee
Abstract
This study aims to examine the role and value of local community awareness of the economic value of carbon sequestration as an important rangeland ecosystem services in order to increase the participation of local community for conservation of rangeland. In order to explain the role and value of awareness ...
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This study aims to examine the role and value of local community awareness of the economic value of carbon sequestration as an important rangeland ecosystem services in order to increase the participation of local community for conservation of rangeland. In order to explain the role and value of awareness in increasing the participation of people in both experimental and control groups, Contingent Valuation Method and dichotomous choice – double bounded format was used and willingness of local communities to pay to preserve pastures were measured. The results showed in two separate groups have a significant difference in terms of willingness to pay for conservation of rangeland, that the difference between the willingness to pay represents the exact value of awareness in increasing willingness to pay for conservation of pasture. In the experimental group, the average willingness to pay was 89410.84 Rials and in the control group average, the average willingness to pay was 32560.88 Rials. The difference between the average willingness of people to pay in two groups is the equivalent of 57039.12 Rials. The average willingness of people to pay each year in the village of test and control group respectively is 2587230.6 and 1657100.05 Rials. The proposed knowledge up to local communities in the Malard County of the carbon sequestration process as well as the role and its position in relation to the welfare of local communities, especially with regard to the beginning of the implementation of the International Generalized Carbon Sequestration in the county take priority.
Mehdi Vatakhah; Mohammad Tavosi
Abstract
Today, the use of surface water to meet various human requirements such as drinking, agriculture and industry has endangered the health of this river ecosystem and its role in the natural system. The minimum environmental flow in the river provides a safe level of protection for the water-dependent environment. ...
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Today, the use of surface water to meet various human requirements such as drinking, agriculture and industry has endangered the health of this river ecosystem and its role in the natural system. The minimum environmental flow in the river provides a safe level of protection for the water-dependent environment. In the present study, the environmental flow requirement of three stations of Cheshmeh Langan River located in Isfahan province were calculated by two hydraulic methods: slope and maximum curvature of wetted perimeter. The results showed that both slope and curvature methods estimate the same minimum environmental flow requirement. So that the difference between the two methods in S1 station was about 0.07m3/s. According to the discharge measured at station S1, minimum environmental flow requirement is provided in all months except December. While the measured discharge at S2 and S4 stations cannot provide the minimum environmental flow requirement due to the impact of the dam and water transfer in any of the months. The flow of 0.39 m3/s for the first station (S1) and 1.44 an 1.68 m3/s for the second and third stations, respectively has been proposed as the minimum environmental flow requirement of Cheshmeh Langan River. The results of this study showed that the environmental flow requirement can be estimated using hydraulic method in data scarce.
Mohsen Adeli Sardooei; Ali Asadi; Khalil Khalil; Ali Akbar Barati; Hassan Khosravi
Abstract
Evaluating of the development of crops based on water needs along with detecting and predicting land use changes will provide a clear picture of changes in water resources and anthropogenic effects of the agricultural sector for environmental planners to plan more consciously in the field of water and ...
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Evaluating of the development of crops based on water needs along with detecting and predicting land use changes will provide a clear picture of changes in water resources and anthropogenic effects of the agricultural sector for environmental planners to plan more consciously in the field of water and soil conservation, Therefore, the current study was conducted with two general objectives. The first goal was to examine land use in the past and predict land use in the future using the Land Change Modeler (LCM) and logistic regression method. Detecting land use changes was performed using Landsat satellite images including sensors of TM (1990), ETM+ (2001) and OLI (2019). The second object of the study was to examine the development trend of agricultural products in terms of water needs in the last three decades, which was examined based on databases of the Agricultural Jihad Organization (AJO). The transition potential modelling was performed based on logistic regression method and variables of digital elevation model (DEM), slope, aspect, geology, the distance from fault, the distance from road, the distance from river, distance from residential lands, NDVI and land use was predicted using Markov chain in future. Also, the trend of changes in the area under cultivation of major crops based on water needs in Jiroft plain was studied based on the data of the last three decades and the data of the National Irrigation Document, which has been less considered by researchers in land use change studies.
Abbas Rezaeai Haroni; Rafat Zare Bidaki; samaneh poormohammadi
Abstract
Cloud seeding is a new and efficient approach to deal with water scarcity and mitigate the effects of drought. Cloud seeding is one of the most flexible and cost effective ways for water resources management that can cause 10 – 30 percent increase of yearly precipitation. The Beheshtabad watershed ...
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Cloud seeding is a new and efficient approach to deal with water scarcity and mitigate the effects of drought. Cloud seeding is one of the most flexible and cost effective ways for water resources management that can cause 10 – 30 percent increase of yearly precipitation. The Beheshtabad watershed is located in the uplands of Karoon river, can be one of the areas in Chaharmahal-va-Bakhtiari Province, that prone to cloud seeding. So we investigated the potential of cloud seeding in this region using physiography and meteorological data. The results show that 25.4 percent of study area (in the southwest) has the potential of cloud seeding. The runoff of Beheshtabad watershed was modeled in IHACRES. Two scenarios of a 10% increase in precipitation of February and a 10% increase in precipitation of the six months (in an average year) were tested. The results showed that a 10 percent increase in precipitation in February added 3.6 percent and a 10 percent increase in precipitation in the six months added 13.7 percent to the annual flow of Beheshtabad River. Also, a 10% increase in precipitation in a dry and humid year was compared, and the results show that the effect of cloud seeding is greater in drought.
Leila Yaghamei; Reza Jafari; Saeed Soltani; Hasan Jahanbazi
Abstract
Snow is one of the effective fators on vegetation rate and function in mountainous areas. The aim of this study was to investigate the impact of snow cover area index and snow cover duration index on two declining and dominant plant species including Astragalus adscendens and Quercus brantii in Chaharmal ...
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Snow is one of the effective fators on vegetation rate and function in mountainous areas. The aim of this study was to investigate the impact of snow cover area index and snow cover duration index on two declining and dominant plant species including Astragalus adscendens and Quercus brantii in Chaharmal and Bakhtiari Province from 2003 to 2016. For this purpose, Normalized Difference Snow Index (NDSI) and Normalized Difference Vegetation Index (NDVI) were extracted from MODIS satellite images and compared using Pearson analysis in forest decline regions (Barz, Seveh, Helen and control area) and in rangeland decline regions including Astragalus adscendens decline and control areas. Results showed that about 32% of the snow cover in the study area has been reduced, although a constant trend was not observed. The studied snow indices showed the highest relationships with rangeland and forest vegetation cover in March. The decline region of Astragalus adscendens had the maximum relationship with the snow cover area (R>0.70) and snow cover duration (R>0.71) in March. According to the findings, snow precipitation in late winter season and its duration is more effective on the rangeland Astragalus adscendens species than forest vegetation cover and this pecies can be more sensitive to decline in case of snow reduction.
