مقایسه دو مدل Mpsiac و Mmf در تهیه نقشه توزیع فرسایش خاک حوزه آبخیز آق گونی اردبیل

فرسایش خاک، مهم ترین عامل تخریب اراضی است و به هدر رفت آب و خاک منجر می شود. استفاده از مدل ها، مهم ترین ابزار تخمین فرسایش و تهیه ی نقشه ی آن در سطح حوزه های آبخیز است. در این پژوهش، از دو مدل mpsiac و mmf برای برآورد فرسایش و تعیین توزیع آن در سطح حوزه آبخیز آق گونی اردبیل استفاده شد. برای این منظور، 100 نقطه از سطح حوزه به صورت شبکه منظم و فواصل حدود 300 متر مشخص شد. سپس با استفاده از نمونه برداری خاک و اندازه گیری های صحرایی، داده های مورد نیاز دو مدل مورد نظر جمع آوری و تخمین فرسایش خاک انجام شد. در ادامه با روش وزن ده ی فاصله معکوس (idw)، درون یابی بین نقاط صورت گرفت و نقشه ی فرسایش خاک تهیه شد. میانگین فرسایش خاک حوزه ی مورد مطالعه با مدل mpsiac و mmf، به ترتیب 5.06 و 3.79 تن در هکتار در سال برآورد شد. همچنین نقشه ی فرسایش به دست آمده از برآورد مدل mpsiac نشان داد که مقادیر بیشتر فرسایش، در مناطق با شیب زیاد و تراکم بیشتر فرسایش خندقی رخ می دهد. نقشه ی فرسایش به دست آمده از برآورد مدل mmf نیز نشان داد که بین جریان رواناب سطحی و برآورد فرسایش سالانه با این مدل، انطباق بیشتری وجود دارد. مقدار بیشتر برآورد فرسایش با مدل mpsiac و انطباق نقشه ی فرسایش این مدل با نقشه ی توزیع فرسایش خندقی در سطح حوزه، نشان داد مدل mpsiac فرسایش خاک را در مقاطع زمانی طولانی که فرسایش خندقی نیز اتفاق می افتد تخمین می زند؛ در حالی که مدل mmf، از جریان سطحی و انرژی جنبشی باران برای برآورد فرسایش استفاده می کند و بیشتر با فرسایش سطحی و شیاری ارتباط دارد. بنابراین، مدل mmf برای تخمین فرسایش ورقه ای و شیاری سالانه بهتر عمل می کند.

Comparison of two MPSIAC and MMF models in soil erosion mapping of Ardebil Agh Gouni watershed

Extended abstract1 IntroductionSoil erosion is the most important cause of land degradation and the cause of water loss, soil loss, sedimentation in water resources, and maximum flood intensification (Liu et al., 2019). Models are the most important tools for estimating and mapping of erosion at the watershed level. As the experimental models are dependent on used coefficients and region conditions, physical models based on the soil erosion process more accurately predicting soil erosion development (Yuan and Yu, 2017). The MPSIAC model is one of the most important experimental models that is widely used to estimate soil erosion in Iran's watersheds, also reported in literature the Morgan Morgan Finney (MMF) is one of the most efficient physical models in soil erosion estimation. In this study, MPSIAC experimental model and MMF physical model were used to estimate the erosion and determine its distribution at Ardebil Agh Gouni area and compared the efficiency of two models in estimating soil erosion. 2 MethodologyAgh Gouni watershed with an area of ​​1800 hectares located at 10 km south of Ardebil city was selected as the study area. At 100 points of the watershed with 300m intervals, soil sampling and field measurements of vegetation, soil and rock cover percentage were done and field data required for MPSIAC and MMF models were obtained. Soil erodibility index was determined by Williams et al (1983) by measuring the percentage of sand, silt and clay particles as well as the percentage of organic carbon, bulk density and particle density of soil samples. Precipitation and hydrology data were also obtained using meteorological data and estimated runoff using curve number (CN) method. Geological and topographic information was also obtained from the maps. Field visit, interpretation of aerial photos, and satellite imagery were performed to identify the watershed and determine the status of erosion. With soil, runoff, topography, geology and meteorological data, required inputs for the two models were obtained and soil erosion estimation was performed for 100 selected points at the watershed. Then, soil erosion interpolated between the points by inverse distance weighting (IDW) method and prepared soil erosion map of watershed.3 Results The results showed that the means of soil erosion in the studied area was estimated by MPSIAC and MMF model of 5.06 and 3.79 ton/ha/year, respectively. Also, the erosion map obtained from the estimation of MPSIAC model showed that higher erosion rates occur in areas with high slope and greater gully erosion density. The erosion map obtained from the estimation of MMF model also showed that there is more agreement between surface runoff flow and annual erosion estimation with this model. In the MMF model, only surface erosion caused by runoff and raindrops is modeled, while in MPSIAC, in addition to surface erosion, gully erosion is also considered as one of the 9 factors in the scoring model. Therefore, the estimated result by this model is higher. In the erosion map of the MMF model the least estimation of erosion is related to the upstream of the watershed in the south and west of the watershed, which has minimal runoff flow in these areas and has relatively flat topography with respect to the slope map, so in this area the kinetic energy of the raindrops is the domain reason of soil erosion. As the outflow portion of the watershed gradually increases the effect of runoff to soil erision. It was also observed that the kinetic energy factor (E) of the MMF model was uniform in most parts of the watershed and did not vary significantly, while the surface runoff volume factor (Q) from the upstream to the downstream and outlet of watershed gradually increased, which is the result of an increase in volume and velocity of runoff to outlet side.4 Discussion ConclusionsIt was generally observed that the estimation of soil erosion with MPSIAC model is more than MMF model and due to the use of gully erosion as one of the factors of erosion, the erosion distribution with this model is very consistent with the gully erosion distribution. Therefore, although the MPSIAC model can be used to estimate longterm erosion in the region, estimating the annual erosion that usually results of sheet and rill erosion the MMF model is more accurate. As well as observed to obtain annual erosion distribution map, using the MMF model that is the basis of estimating rainfall and runoff energy is more accurate.