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پیش بینی اثر حالتهای ممکن مدیریت پوشش گیاهی بر حجم رواناب و آلاینده های رودخانهیی با مدل L-THIA در آبخیز حبله رود | ||
| پژوهش های آبخیزداری | ||
| مقاله 4، دوره 33، شماره 3 - شماره پیاپی 128، مهر 1399، صفحه 36-52 اصل مقاله (1.68 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmej.2019.127488.1251 | ||
| نویسندگان | ||
| ابراهیم کریمی سنگچینی* 1؛ مجید اونق2؛ امیر سعدالدین3؛ ابراهیم یوسفی مبرهن4 | ||
| 1استادیار بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان لرستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، خرم آباد، ایران | ||
| 2استاد گروه آبخیزداری، دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
| 3دانشیار گروه آبخیزداری، دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
| 4استادیار بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان سمنان، سازمان تحقیقات، آموزش و ترویج کشاورزی، سمنان، ایران | ||
| چکیده | ||
| تغییر پوشش گیاهی یکی از عاملهای مهم در تغییر کمی و کیفی جریان آبشناسی است. در این تحقیق با مدل ارزیابی اثر آبشناختی بلندمدت اثر حالتهای ممکن مدیریت پوشش گیاهی بر حجم روانآب سالانه و آلاینده های آب آبخیز حبله رود پیش بینی کرده شد. مدل با نقشه های کاربری و نقشه گروههای آبشناسی خاک منطقه اجرا شد. نتیجهی ارزیابی کارآیی مدل نشان دهندهی کارآیی مناسب در تراز 5% است. بیقطعیتی مدل با روش بوتاسترپ بررسی شد. کمترین و بیشترین بیقطعیتی در فراسنجهای نیترات، نیتریت و حجم روانآب بهترتیب با ضریب تغییر 0/15 و 0/26 بود. بهجز وضع موجود، فعالیتهای جنگلکاری، بذرپاشی، بذرکاری، کپه کاری، قرق مرتع، تاغ کاری، احداث باغ، درختکاری و علوفه کاری نیز ارزیابی کرده شد. نتیجهی تجزیه و تحلیل نشان داد که با اعمالکردن بذرپاشی مرتع، حجم روانآب سالانه از 301/07 میلیون مترمکعب برای کاربری فعلی حوزه به 247/92 میلیون مترمکعب کاهش یافته است. کل نیترات، نیتریت و فسفر خروجی به ترتیب از 214/2 و 92/4 تن در شرایط کاربری فعلی به 154/2 و 80/3 تن کاهش یافته است. نتیجهی ارزیابی نشان دهندهی کارآیی مناسب این مدل برای پیش بینیکردن اثر حالتهای ممکن تغییرکاربری در این آبخیز است. اجرای فعالیتهای مدیریتی پوشش گیاهی به کاهش حجم روانآب و کاهش آلاینده های آب در آبخیز حبله رود منجر خواهد شد. | ||
| کلیدواژهها | ||
| آبخیز حبله رود؛ آلاینده های آب؛ حجم روانآب؛ حالتهای ممکن مدیریت پوشش گیاهی؛ مدل L-THIA | ||
| عنوان مقاله [English] | ||
| Predicting the Impacts of Land Cover Management Scenarios on the Run-off Volume and River Pollutants Using the L-THIA Model for the Hablehrud basin | ||
| نویسندگان [English] | ||
| Ebrahim Karimi Sangchini1؛ Majid Ownegh2؛ Amir Sadoddin3؛ Ebrahim Yousefi Mobarhan4 | ||
| 1Assistant Professor, Soil Conservation and Watershed Management Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran | ||
| 2Professor of Watershed Management Department, Gorgan University of Agricultural Sciences and Natural Resources | ||
| 3Associate Professor of Watershed Management Department, Gorgan University of Agricultural Sciences and Natural Resources | ||
| 4Assistant Professor, Soil Conservation and Watershed Management Research Department, Semnan Agricultural and Natural Resources Research and Education Center, AREEO, Semnan, Iran | ||
| چکیده [English] | ||
| Land cover change is an important factor in terms of its impacts on altering the quantity and quality of the flow regimes. The Long-term Hydrologic Impact Assessment model was used to predict the impacts of land cover management scenarios on run-off volume and water pollutants on the Hablehrud Basin. Land-use and soil hydrologic group layers were used in running the model. Evaluation of the results indicated a satisfactory performance at the 5% level of significance. Additionally, the model uncertainty analysis was conducted using the bootstrap method. Nitrate, nitrite and run-off volume parameters had the minimum and maximum uncertainty levels with respect to the coefficient of variation at 0.15 and 0.26, respectively. In addition to the current condition, agroforestry, seeding, drill seeding, hill-drop planting, grazing exclusion, haloxylon plantation, orchard stabilization, tree plantation and forage growing actions were evaluated. By applying the seeding scenario, the annual runoff volume would drop from 301.07 million cubic meters per year for the current land use in the watershed to 247.92 million cubic meters per year. Given the seeding scenario, the total amounts of nitrates, nitrite and phosphorus in the watershed would also decrease from 214.17 and 92.4 ton per year for the current land cover to 154.2 and 80.3 ton per year, respectively. Evaluation of the results indicates the satisfactory performance of the model to predict the effects of land-use change scenarios in this area. Implementing the land cover management actions leads to a reduction in the run-off volume as well as the water pollutants on the Hablerud Basin. | ||
| کلیدواژهها [English] | ||
| Land cover management scenarios, L-THIA model, run-off volume, The Hablehrud Basin, water pollutants | ||
| مراجع | ||
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Ahiablame L, Engel BA, Chaubey I. 2012. Representation and evaluation of low impact development practices with L-THIA-LID: an example for site planning. Environ. Pollut. 1 (2):1–13 http://dx.doi.org/10.5539/ep.v1n2p1. Ahiablame L, Engel BA, Chaubey I. 2013. Effectiveness of low impact development practices in two urbanized watersheds: retrofitting with rain barrel/cistern and porous pavement. Journal of Environmental Management. 119(3):151–161. Azarnivand H, Namjoyan R, Arzani H, Jafari M, Zare Chahouki MA. 2007. Localization of range improvement plans using GIS and comparing with suggested projects of range management plans in Lar Region. Journal of Rangeland. 1(2):159–169. (In Persian) Bai M, Sadoddin A, Salman Mahini A. 2015. Uncertainty an analysis in predicting ecological impacts of management scenarios in the Chehl-Chai Watershed. Gorganrood River Basin. Iranian Journal of Applied Ecology. 3 (10): 77–89. (In Persian). Bhadori B, Harbor J, Engel B, Grove M. 2000. Assessing watershed-scale, long-term hydrologic impacts of land-use change using a GIS-NPS Model. Environmental Management. 26(6): 643–658. Cai X, McKinney DC, Lasdo L. 2003. An integrated hydrologic-agronomic-economic model for river basin management. Journal of Water Resources Planning and Management. 129(1): 4–17. Chen X, Liu X, Penga W, Donga F, Chen Q, Sun Y, Wang R. 2019. Hydro climatic influence on the salinity and water volume of a plateau lake in southwest China. Science of the Total Environment. 659(1): 746–755. Efron B, Tibshirani R. 1986. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical Science. 1(1): 54–77. Engle BA, Choi JY, Harbor J, Pandey S. 2003. Web-based DSS for hydrologic impact evaluation of small watershed land use changes. Computers and Electronics in Agriculture. 39(3): 241–249. Esfandiary F, Beheshti JA, Fathi M. 2014. Hydrological impact assessment of land use change on annual surface runoff at the Gharasoo Catchment by using L-THIA Model. Iranian Journal of Hydro Geomorphology. 1(1): 59–73. (In Persian). Goldavi S, Mohammadzadeh M, Salmanmahine A, najafi A. 2016. Impacts an assessment of land use change on surface water using L-THIA Model in Gorgan Area. Environmental Researches. 6(11): 111–191. (In Persian). Irwin NB, Irwin EG, Martin JF, Aracenac P. 2018. Constructed wetlands for water quality improvements: Benefit transfer analysis from Ohio. Journal of Environmental Management. 206(15): 1063–1071. Kaykhosravi S, Khan UT, Jadidi A. 2018. A Comprehensive review of low impact development models for research, Conceptual, Preliminary and Detailed Design Applications. Water. 10 (11): 1–28. Keshtkar AR, Salajegheh A, Sadoddin A, Allan MG. 2013. Application of bayesian networks for sustainability assessment in catchment modeling and management (Case study: The Hablehrood River Catchment). Ecological Modeling. 268 (1): 48– 54. Kiaee M, Jafari M. 2014. Investigation and consideration of forest tree reaction to climate and environmental changes (Case study: Lavizan Forest Park). Journal of Plant Researches (Iranian Journal of Biology. 32(1): 16–27. Li N, Xu YP, Guo HC. 2007. Analysis of long-term impact of urbanization on surface runoff in Xitiaoxi River Basin. Environmental Informatics Archives. 5(1): 346–353. Liu Y, Li S, Wallace CW, Chaubey I, Flanagan DC, Theller LO, Engel BA. 2017. Comparison of computer models for estimating hydrology and water quality in an agricultural watershed. Water Resources Management. 31( 11): 3641–3665. Liu Y, Bralts VF, Engel BA. 2015 a. Evaluating the effectiveness of management practices on hydrology and water quality at watershed scale with a rainfall-runoff model. Science of the Total Environment. 511(1): 298–308. Liu Y, Ahiablame L, Bralts VF, Engel BA. 2015 b. Enhancing a rainfall-runoff model to assess the impacts of BMPs and LID practices on storm runoff. Journal of Environmental Management. 147 (1):12–23. Mahini AR. 2013. Capability evaluation and land use planning of integrated watershed management in Hablerud River Basin. Pooneh publication. Tehran. 368 p. (In Persian). Pasandidehfard Z, Salman Mahini A, Mirkarimi SH, Akbari M, Gholamalifard M. 2014. Non-point source pollution modeling using geographic information system (GIS) for representing best management practices (BMP) in the Gorganrood Watershed. Iranian Journal of Applied Ecology. 3 (8):43–54. (In Persian). Perry P, Nawaz R . 2008. An investigation into the extent and impacts of hard surfacing of domestic gardens in an area of Leeds, United kingdom. Landscape and Urban Planning. 86(1): 1–13. Rad MH, Mirhossini Dehabadi SR, Meshkat MA. 2008. Effect of water stress on some physiological characteristics of Haloxylon aphyllum. Iranian Journal of Rangelands and Forests Plant Breeding and Genetic Research. 16(1): 75–93. (In Persian). Regional Water Company of Terran. 2016. Discharge data of hydrometric stations located in the Hablehrud Basin. Sadoddin A, Letcher RA, Jakeman AJ, Newham LTH. 2005. A Bayesian decision network approach for assessing the ecological impacts of salinity management. Journal of Mathematics and Computers in Simulation. 69(1): 162–176. Sarangi A, Madramootoo CA, Cox C. 2004. A decision support system for soil and water conservation measures on agricultural watersheds. Land Degradation and Development. Land Degradation and Development. 15 (49:( 49–63. Sekara WG, Gupta NA, Valeo C, Hasbani JG, Qiao Y, Delaney P, Marceau DJ. 2012. Assessing the impact of future land-use changes on hydrological processes in the Elbow River watershed in southern Alberta, Canada. Journal of Hydrology. 4 (41): 220–232. Singh TB. 2019. Modification of the LTHIA GIS model to assess the water quantity and quality of Canadian Great Lakes Watershed. A Thesis of Master of Applied Science in Engineering, The University of Guelph. 129 p. Tang Z, Engel BA, Pijanowski BC, Lim KJ. 2005. Forecasting land use change and its environmental impact at a watershed scale. Environmental impact at a watershed scale. Journal of Environmental Management. 76(1): 45–35. Turner BL, Moss RH, SKole DL. 1993. Relating landuse and global Land-cover change: A Proposal for an IGBP- HDP Core Project Global Change Report. Stokholm, Sweden. pp. 221–223. Water and Wastewater Company of Semnan province. 2016. Water quality data of Bonkooh Hydrometric Station. Weng Q. 2001. Modeling urban growth effects on surface runoff with the iintegration of remote sensing and GIS. Environment Management. 28(6): 737–748. Yang L, Ma K, Guo Q, Bai X. 2008. Evaluating long-term hydrological impacts of regional urbanisation in Hanyang, China, using a GIS model and remote sensing. International Journal of Sustainable Development & World Ecology. 15(4): 350–356. Youa YY, Jin WB, Xiong QX, Xu L, Ai TC, Li BL. 2012. Simulation and validation of on-point source nitrogen and phosphorus loads under different land uses in Sihu Basin, Hubei Province, China, The 18th Biennial Conference of International Society for Ecological Modelling Procedia Environmental Sciences. 13(1): 1781 – 1797. Zhang J, Shen T, Li, M, Wan Y, Liu J, Li J. 2011. Research on non-point source pollution spatial distribution of Qingdao based on L-THIA model. Mathematical and Computer Modeling. 54(3): 1151–1159. | ||
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