Drought Analysis of Alvand Boundary River Using Remote Sensing Data
Authors
Abstract:
Extended abstract 1- Introduction The study of the behavior of rivers in the arid and dry areas is one of the most important tasks in the country. Because the area has increased the effects of drought due to the sensitivity of the area and rainfall shortage, it causes changes in the flow and sediment regime, water resources, agriculture, and so on. Since plants react more precisely to the specific climate changes of the environmental water changes, historically, they have been regarded as important indicators to identify the type of climate and its changes. In the recent years, as the satellite images are regularly and accurately separated from the surface, the growing role of vegetation cover associated with drought conditions is more assumed. The NDVI index was first introduced in 1973 and is the most comprehensive indicator ever used in many studies. This index can well reflect changes in the areas with more rangeland coverage. Also, given that the water has a lower NDVI than other surface coatings, therefore, the areas that are covered with the water can be detected by the changes in their NDVI values before and after the flood. 2- Methodology First, in order to identify the trends and droughts in the region, the hydrometric and climatic data (1955-2011) were analyzed. Based on the annual flow diagram of the Qasr-e-Shirin station, the diagrams of rainfall and precipitation were identified using the 45-year moving average index in the river to identify the maximum points of the land as well as the wet points, and subsequently, the data from the satellite imagery of 1987 (first year of landing), the maximum drought of 2005, the maximum wetland of 2003, and those of 2015 were used to collect the satellite images from the hydrometric chart. Subsequently, multispectral images were taken to produce a green index. Using the controlled classification method and the statistical parameter, the least space was used to classify the images. Finally, using the observations, measurements and field observations, with the accuracy of 90 meters at 5 points around the river, the findings of the extracted images were corrected and controlled. 3- Results An investigation of the hydrologic regime of the basin in the drought and wet periods indicates changes in the river flow and the impact of the climate and environmental factors on it. Despite the continuity of the river flow and the same rainfall (264 mm) during the two periods, the average of the mean and the basin water levels decreased sharply and the flow of the river at the location of the river divisions has changed from a volatile to a seasonal, which has led to the blockage of the river by the sediment yields from them. Using the NDVI index, land use has been classified into cropping water, rain, and pastures. A comparison of the classified images shows that 70% of the vegetation degradation is related to the rangelands and marginal lands of the river and river basins, which are natural in the region. The remaining 30 percent of the vegetation degradation is related to aquaculture and dry-land farming. The research findings from the discovery of changes through the illustrations reveal the role of the climate change in the Alvand river basin. 10188 ha of the damaged land is due to the drought. In other areas, and especially around the river, the changes in the coverage elucidate a negative trend. In the rivers of Khosravi plain, 8001 ha of the pastures around the river is destroyed. 4- Discussion & Conclusions The results of this study showed that the vegetation level in the region has changed during the research period throughout the studied years. The NDVI index showed a desirable correlation with the moving average drought index Therefore, it is suggested that the method described, that is, the combination of the climatic and hydrological elements and the vegetation indices derived from the satellite images, which have been investigated and proved by various researchers, have been repeatedly correlated with the drought to investigate it by the vegetation index in the rangeland and semi-arid areas of the country. The results of this study showed that the NDVI index could be a favorable alternative to moving average, and in the hydrological drought studies, the semi-arid and rangeland areas can be trusted.
similar resources
Investigation of periodic changes of the Oman Sea coastline using remote sensing data and spatial analysis
Extended abstract 1- Introduction Coastal environments are one of the most sensitive environmental systems under the influence of dominant hydrodynamic processes. Coastal changes and evolution are occurring very fast. Coastal areas are now gradually becoming known as severe natural and man-made disturbances, including sea levels rising, coastal erosion and sedimentation, and over-exploitat...
full textAssessing the Trend of Spatio-temporal Drought Changes Using Remote Sensing Time Series Data in Central Khuzestan Province
Introduction: As a dreadful natural disaster caused by a severe reduction in precipitation rate, drought brings about, compared with other natural disasters, far-reaching spatial and temporal consequences, incurring severe damages. On the other hand, in late the 20th century, drought monitoring approaches underwent a paradigm shift, and advances in remote sensing and earth observation technolog...
full textMonitoring Meteorological Drought in Iran Using Remote Sensing and Drought Indices
Drought is a major environmental disaster in many parts of the world. Knowledge about the timing, severity and extentof drought can aid planning and decision-making. Drought indices derived from in-situ meteorological data have coarsespatial and temporal resolutions, thus, obtaining a real-time drought condition over a large area is difficult. This studyused advanced very high resolution radiom...
full textMapping Spatial Variability of Soil Salinity Using Remote Sensing Data and Geostatistical Analysis: A Case of Shadegan, Khuzestan
Extended abstract 1- Introduction Soil salinity is one of the most important desertification parameters in many parts of the world. Thus, preparing soil salinity maps in macro scales is necessary. Water and soil salinity as one of the contributing parameters in desertification, cause soil and vegetation degradation. Soil salinization represents many negative effects on the earth systems such ...
full textAnalyzing the Spatial Pattern of Drought in Central and South Zagros Using Remote Sensing Indicators
Introduction: As a complex phenomenon occurring due to a long period of poor precipitation, drought causes water scarcity in the soil and the hydrological system via hydrological, bringing about long-term consequences which may lead to severe economic, environmental, and social problems worldwide. Droughts are classified into four types: meteorological (rainfall), agricultural (soil’s moisture)...
full textEvaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)
Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...
full textMy Resources
Journal title
volume 7 issue 3
pages 55- 69
publication date 2017-12
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023