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ارزیابی کیفی و کمی وضعیت منبع‌های آب و کشاورزی در زیرآبخیز سروستان، استان فارس | ||
| پژوهش های آبخیزداری | ||
| مقاله 10، دوره 34، شماره 3 - شماره پیاپی 132، مهر 1400، صفحه 149-164 اصل مقاله (2 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmej.2021.352611.1373 | ||
| نویسندگان | ||
| سارا کاویانی آهنگر1؛ رسول مهدوی نجف آبادی* 2؛ غلام رضا زهتابیان3؛ حمید غلامی2؛ آشوک کومار چاپاگین4 | ||
| 1دانشجوی دکترای مهندسی منابع طبیعی گرایش بیابان زدایی، دانشگاه هرمزگان | ||
| 2دانشیار دانشکده کشاورزی و منابع طبیعی، دانشگاه هرمزگان | ||
| 3استاد دانشکده منابع طبیعی، دانشگاه تهران | ||
| 4محقق ارشد، مؤسسه اقیانوس آرام، ایالات متحده آمریکا | ||
| چکیده | ||
| دخـالـت‌هـا و فعـالیت‌های نابخردانه‌ی انســـان به یقین موجب تخریب سرزمین و بیابان زایی شده است است. هدف این پژوهش شناخت و معرفی درجه ی تأثیر فعالیت های انسانی از دیدگاه معیار آب و کشاورزی بر تخریب سرزمین و بیابان زایی زیرآبخیز سروستان است. تغییر کمی و کیفی آب زیرزمینی، آشکارسازی تغییر زمین‌های کشاورزی و وضعیت فعلی معیار آب (شاخص‌ها: افت آبزیرزمینی، هدایت الکتریکی، سامانه‌های آبیاری، نسبت جذب سدیم) و معیار کشاورزی (شاخص‌ها: عملکرد، الگوی کشت، کاربرد نهاده‌ها و دستگاه‌ها) با کمک مدل ایرانی IMDPA بررسی شد. منبع‌های آب زیرآبخیز سروستان با کاهش کیفیت (افزایش μS/cm 2700 شوری در 21 سال اخیر) و کمیت (10 متر کاهش تراز ایست‌آبی در 25 سال) مواجه شده‌اند. آشکارسازی تغییر زمین‌های کشاورزی نشان‌دهنده ی 196% افزایش در مساحت زمین‌های کشت‌شده در سال‌های 1993 تا 2016 است. نتیجه‌ی مدل ایرانی IMDPA نشان داد که شاخص هدایت الکتریکی آب با ارزش عددی 3/4 بیشترین تأثیر (وضعیت شدید) و شاخص‌های عملکرد و کاربرد نهاده ها و دستگاه‌های کشاورزی با ارزش عددی 1/7 کمترین تأثیر (وضعیت متوسط) بر زیرآبخیز سروستان داشت. معیار آب با ارزش عددی 2/56 معیار غالب بود و به‌همراه معیار کشاورزی در طبقه‌ی متوسط جا گرفت. | ||
| کلیدواژه‌ها | ||
| تراز ایست‌آبی؛ زمین‌های کشاورزی؛ مدل IMDPA؛ هدایت الکتریکی | ||
| عنوان مقاله [English] | ||
| Qualitative and Quantitative Assessment of Water Resources and Agriculture in Sarvestan Sub-basin, the Province of Fars | ||
| نویسندگان [English] | ||
| Sara Kaviani Ahangar1؛ Rasool Mahdavi Najafabadi2؛ Gholamreza Zehtabian3؛ Hamid Gholami2؛ Ashok kumar Chapagain4 | ||
| 1Ph.D. Student of Natural Resources Engineering, Desertification Control, University of Hormozgan, Iran | ||
| 2Associate Professor of Natural Resources Engineering, University of Hormozgan, Bandar Abbas, Iran | ||
| 3Professor Collage of Natural Resources, Tehran University, Iran | ||
| 4Senior Researcher, Pacific Institute, USA | ||
| چکیده [English] | ||
| Desertification, a manifest sign of land degradation is mostly due to unreasonable treatment, and in many cases, over-exploitation of natural resources, mainly soil, and water. Therefore, the purpose of this study was to identify and introduce the degree of impact of human activities from the perspective of water and land management in the desertification of the Sarvestan Sub-basin. Quantitative and qualitative changes in groundwater, detection of changes in farm field expanses, and the current state of water criteria (indicators: groundwater loss, EC, irrigation systems, SAR), and agricultural criteria (indicators: yield, cultivation pattern, use of inputs and machinery) using the Iranian model, the IMDPA. The water resources of the Sarvestan Sub-basin have decreased in quality (an increase of 2700 µS/m of salinity during the preceding 21 years) and quantity (subsidence of 10 meters of water level in 25 years). The cultivated area has expanded 196% from 1993 to 2016. An application of the IMDPA model indicates that the electrical conductivity index, with a numerical value of 3.4, had the highest effect (extreme condition), and application index of agricultural inputs and machinery with a numerical value of 1.7 had the lowest effect (moderate condition) in the Sarvestan Sub-basin. The water quantity with a numerical value of 2.56 was the dominant criterion, and along with the agriculture criterion, was placed in the moderate class. | ||
| کلیدواژه‌ها [English] | ||
| Agricultural lands, electrical conductivity, IMDPA model, water table | ||
| مراجع | ||
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Akbari M, Ownegh M, Asgari HR, Sadoddin A, Khosravi H. 2016. Desertification risk assessment and management program. Environmental Science and Management. 2(4): 365–380. (In Persian). Anderson JR, Hardy E, Roach JT, Witmer RE. 2001. A land use and land cover classification system for use with remote Sensor data. Geological Survey Professional Conference. United State. Washington. 41 p. Bahdure R, Murayama y. 2009. Land use change analysis using remote sensing and GIS: A case study of Kathmandu Metropolitan, Ph.D. Thesis. Nepal Research Abstracts on Spatial Information Science. CSIS DAYS. 153 p. Cheraghi MA, Najafi B, Sajari Sh, Javan M. 2020. The trend of changes in groundwater quantity and quality in the Sarvestan Plain of Fars Province. Watershed Management Research. 33(2): 82–96. (In Persian). Dadrasi Sabzavari A, Pakparvar M. 2007. Determination of lands affected by desertification using near and remote sensing in Sabzevar desert area. Iranian Journal of Range and Desert Research.14 (1): 3–52. (In Persian). Davari S, Rashki A, Akbari M. 2016. Assessing the severity and risk of desertification and providing management plans (Study area, Ghasem Abad, Bajestan, and Khorasan Razavi). Desert Management. 5(9): 91–106. (In Persian). Hasheminasab N, Jafari R. 2018. Evaluation of land use changes order to desertification monitoring using remote sensing techniques. Journal of Spatial Analysis Environmental Hazards 19(3): 67–82. (In Persian). Katibeh H, Hafezi S. 2005. Application of modflow in groundwater management and evaluation of artificial recharge project of Ab-barik aquifer (Bam). Journal of Water and Wastewater. 15(2): 45–58. (In Persian). Malekian A, Amirazodi A, Mohammadkhan Sh, Ehsani H. 2019. Feasibility study of desertification severity risk zoning using IMDPA model (Case study: Shokrouyeh area of Fars Province). Geographic Space. 66(19): 121–137. (In Persian). Marzaioli R, Ascoli RD, De Pascale RA, Rutigliano FA. 2010. Soil quality in a Mediterranean area of Southern Italy as related to different land use types. Applied Soil Ecology. 44(3): 205–212. Masoudi R, Zehtabian Gh, Ahmadi H, Malkian A. 2015. Evaluation of the quantitative and qualitative changes of groundwater in Kashan Plain. Desert Management. 3(5): 67–80. (In Persian). Nasrian N, Akbari M, Faridhosseini AR, Nematollahi E, Davari S. 2019. Quantitative assessment of desertification intensity indices in the agricultural lands of Dargaz Plain, Khorasan Razavi Province. Desert Management. 13(2):149–170. (In Persian). Pahlavanravia A, Bahraini F. 2013. Evaluation of current desertification status based on IMDPA with emphasis on climate, wind erosion, water, soil and vegetation: Case study of Bordekhun Region of Boushehr. DESERT. 18(1): 53–63. Qureshi AS, McCornick PG, Qadir M, Aslam Z. 2008. Managing salinity and water logging in the Indus Basin of Pakistan. Agricultural Water Management. 95(1): 1c10. Rizzo DM. Mouser JM. 2000. Evaluation of geostatistics for combined hydrochemistry and microbial community fingerprinting at a waste disposal site. pp. 1–11. Rubio JL, Bochet E. 1998. Desertification indicators as diagnosis criteria for desertification risk assessment in Europe. Arid Environment. 39(2): 113–120. Salunkhe SS, Bera AK, Rao SS, Venkataraman VR, Raj U, Murthy YVNK. 2018. Evaluation of indicators for desertification risk assessment in part of Thar desert region of Rajasthan using geospatial techniques. Journal of Earth System Science. 127 (8): 116–140. Symeonakis E, Karathanasis N, Koukoulas S, Panagopoulos G. 2016. Monitoring sensitivity to land degradation and desertification with the environmentally sensitive area index: the case of Lesvos Island. Land Degradation and Development. 27(6): 1562–1573. Taghizadeh R, Zareian M, Mahmoodi Sh, Heidari A, Sarmadian F. 2009. Investigation of interpolation methods to determine spatial distribution of groundwater quality in Rafsanjan. JWMSEIR. 2 (5):63–70. (In Persian). The Department of Environment and Conservation (NSW). 2007. Guidelines for the assessment and management of groundwater contamination, Published by: Department of Environment and Conservation NSW. United States Geological Survey (USGS). 2019. Landsat satellites, “Landsat 8,” [Online]. Available at https://www.usgs.gov.https://earthexplorer.usgs.gov/ (accessed on 1 May, 2019). Vahedi M, Masoudi M. 2018. Hazard assessment of groundwater resources degradation using the modified Iranian model of desrtification potential assessment in Fars plains. Irrigation and water engineering journal. 32(8): 93–104. (In Persian). Vesali A, Zehtabian Gh, Azarnivand H. 2015. Determining the most effective indicators of water and irrigation on severity of desertification (Case study: Kashan Plains and AranoBidgol). Desert Management. 3(6): 38–25. (In Persian). Vesali SA, Zehtabian Gh, Azarnivand H. 2016. Determination of the most effective indicators of water and irrigation criteria in desertification intensity (Case study: Kashan and Aran Bidgol Plains). Desert Management. 6(3): 25–38. (In Persian). Zalidis G, Stamatiadis S, Takavakoglou V, Eskridge K, Misopolinos N. 2002. Impacts of agricultural practices on soil and water quality in the Mediterranean region and proposed assessment methodology. Agriculture, Ecosystems and Environment. 88(2): 137–146. Zehtabian Gh, Khosravi H, Ghodsi M. 2010. Water and sustainability in Arid Regions. Chapter 5: High Demand in a Land of Water Scarcity: Iran. Springer. Zehtabian Gh, Khosravi H, Masoudi R. 2014. Desertification evaluation models (criteria and indicators). Tehran University Press. pp. 3480–258. (In Persian). Zhang Q, Wang G, Peng D, Gong P. 2002. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. Remote Sensing. 23(15): 3057–3078. | ||
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