Land Degradation Risk Assessment for Tuzla Creek Basin (Biga Peninsula) Using a GIS- Based RUSLE Model

Tağil, Şermin

doi:10.5053/ekoloji.2007.653

Cited by 16 publications

(4 citation statements)

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“…Toprak koruma faktörü; herhangi bir bölgede erozyon şiddetini azaltmak ve kontrol etmek amacıyla yapılan uygulamaları ifade etmektedir. Toprağı korumak amacıyla alınan bütün tedbirler, erozyona sebep olan diğer faktörlerin etkisini azaltmak veya yok etmek için kullanılmaktadır (Renard vd.1991, Morgan 2005, Tağıl 2007, Blanco & Lal, 2008. Bu çalışmada P parametresi 1 kabul edilerek havzada erozyonu önleyici herhangi bir uygulama yapılmadığı belirtilmiştir.…”

Section: Toprak Koruma Faktörü (P)unclassified

“…Günümüzde Uzaktan Algılama (UA) ve Coğrafi Bilgi Sistemleri (CBS) başlığı altında geliştirilen yeni yaklaşımlar ile birlikte erozyon duyarlılığı ve risk çalışmaları tahmin modellerinin hızlı ve düşük maliyetli uygulanmasına yardımcı olmaktadır. Ülkemizde Ege (Mutlu & Soykan, 2018;Güney, 2018;Ustaoğlu vd., 2021) Marmara (Tağıl, 2007) Karadeniz (Kırcı, 2019;Hatipoğlu & Uzun, 2020) Doğu Anadolu (Avcı vd., 2017) İç Anadolu (Tüfekcioğlu vd., 2020) Akdeniz (Karabulut & Küçükönder, 2008;Çilek vd., 2015;Artun & Koca, 2018;Çilek, 2021) Güneydoğu (Darama vd., 2021) bölgelerinde PESERA, RUSLE gibi farklı erozyon modelleri kullanılarak çalışmalar gerçekleştirilmiştir. Güncel uzaktan algılama verileri arasında uydu tabanlı sayısal yükselti modelleri (Avcıoğlu vd., 2020), optik görüntülerden arazi örtü parametrelerinin izlenmesi (Hong vd., 2020) ve meteorolojik amaçlı uydu verilerinden yağış aşındırma parametrelerinin hesaplanması (Baiamonte vd., 2019) gibi erozyonu etkileyen süreçler analiz edilmektedir.…”

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Kaman Deresi Havzasının Erozyon Duyarlılığı

Alparslan

Küçükönder

2021

Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi

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Erozyon, doğal toprak ekosisteminin bozulması başta olmak üzere ortaya çıkardığı problemler nedeniyle önemli doğal afetler arasında ele alınmaktadır. Dünya'nın birçok yerinde olduğu gibi ülkemizde de erozyon önemli bir toprak sorununu oluşturmaktadır. Bu sorunun çözümünde erozyonun duyarlılığını tespit etmek ve öncelikli belirlenen alanlara özgü tedbirler almak hızlı çözüm yollarından biridir. Bu çalışmanın amacı, ülkemizde su erozyonunun fazla yaşandığı Fırat Havzası alt havzalarından biri olan Kaman Deresi alt havzasında RUSLE (Revize Edilmiş Evrensel Toprak Kayıpları Eşitliği) tekniği kullanarak erozyon duyarlılığını tespit etmektir. Yaklaşık 110 km 2 alan kaplayan çalışma havzası, RUSLE yöntemi kullanılarak değerlendirilmiştir. Yağış aşındırma parametresi TRMM 3B43 ve GloREDa verileri ile karşılaştırılmıştır. Ortalama erozyon değerleri, GloREDa yağış aşındırma parametresi ile ortalama 112 ton/ha/yıl, TRMM 3B43 yağış aşındırma parametresi ile 68 ton/ha/yıl olarak hesaplanmıştır. Meteorolojik uydu görüntülerinden elde edilen yağış aşındırma parametresi mevcut erozyon çalışmalarında kullanımı gerçekleştirilen bu çalışmada yersel ölçümlerin yeterli olmadığı koşullarda önemli bilgiler sağlayacaktır.

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Section: Toprak Koruma Faktörü (P)unclassified

unclassified

Kaman Deresi Havzasının Erozyon Duyarlılığı

Alparslan

Küçükönder

2021

Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi

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“…Sustainable land use can be characterized if one land erosion rates is equal to or below the value erosion that can be allowed (Dewi et al, 2012). Some applications and models that have been used to estimate the danger of erosion showed a more accurate and faster than with conventional methods (Tagil, 2007;Irvem et al, 2007). The use of GIS in hydrological models can also reduce analysis costs, and save time.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2015

J.Degrad. Min. Land Manage.

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Abstract:Technology of Geographic Information Systems (GIS) and Remote Sensing (RS) are increasingly used for planning and natural resources management. GIS and RS is based on pixels is used as a tool of spatial modeling for predicting the erosion. One of the methods developed for predicting the erosion is a Revised Universal Soil Loss Equation (RUSLE). RUSLE is the method used for predicting the erosion associated with runoff gained from five parameters, namely: rain erosivity (R), soil erodibility (K), length of slopes (L), slope (S), and land management (CP). The main constraint encountered in the process of operating the GIS is the calculation of the slope length factor (L).This study was designed to create a plan of sustainable land use and low erosion through the RULSE erosion modeling by utilizing the remote sensing data. With this approach, this study was divided into three activities, namely (1) the preparation and analysis of spatial data for the determination of the parameters and estimating the erosion by using RUSLE models, (2) the validation and calibration of the model of RUSLE by measuring soil erosion at the scale of plots on the field, and (3) Creating a plan of sustainable land use and low erosion with RUSLE. The validation erosion shows the value of R 2 = 0.56 and r = 0.74. Results of this study showed that the RUSLE model could be used in the Kalikonto watershed. The erosions at the value of the actual estimation, spatial Plan (RTRW) and land capability class in the Kalikonto watershed were 72t / ha / year, 62 t / ha / year and 58 t / ha / year, respectively

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“…The quantitative evaluation of soil erosion is the key to soil erosion control, and the mathematical evaluation model of soil erosion is an effective tool for evaluating this type of hazard [9]. These applications and models that have been used to estimate the danger of erosion are more accurate and faster than conventional methods [10]. The research field of evaluation models has been constantly innovating for a long time, and the revised universal soil loss equation (RUSLE), which was developed on the basis of the universal soil loss equation (USLE) model, is a classic method [11,12,13,14,15,16,17], as are many other models, such as the Water Erosion Prediction Project (WEPP) [18] and the European Soil Erosion Model (EUROSEM) [19] [20].…”

mentioning

confidence: 99%

Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China

Ping¹,

Ge²,

Yue³

et al. 2020

Preprint

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The accurate assessment and monitoring of soil erosion is of great significance for guiding food production and ensuring ecological security, and it is a current research hotspot. In this paper, remote sensing and geographic information systems (GISs) are combined with the Revised Universal Soil Loss Equation (RUSLE model) to carry out research on soil erosion monitoring and make a quantitative evaluation. According to five factors, including rainfall erosivity, soil erodibility, topography, vegetation cover, crop management and water and soil conservation measures, the distribution of the soil erosion rate in Jilin Province in 2019 was mapped, and the soil erosion rate was divided into 5 levels according to the degree of erosion, including very slight, slight, moderate, severe and extremely severe erosion. Based on the segmented S-slope factor model and the unique topographical features of the study area, the relationships among the soil erosion rate, erosion risk level, erosion area, erosion amount and slope angle (θ) were systematically analysed, and a slope angle of 15° was identified as the threshold for soil erosion on sloped farmland in Jilin Province. The total soil erosion in Jilin Province was 402.14×106 t in 2019, the average soil erosion rate was 21.6 t·ha-1·a-1, and the average soil loss thickness was 1.6 mm·a-1; these values were far greater than the soil erosion rate risk threshold of 10 t ·Ha-1·a-1. Thus, the province has a strong level of soil erosion. We conclude that soil degradation is accelerating, and food production and the ecological environment will face severe challenges. It is suggested that soil erosion control should be carried out according to different types and slopes of land, with an emphasis on the management of forestland and farmland because forestland and farmland are currently the first types of land to be managed in Jilin Province. This paper aims to explore a timely, fast, efficient and convenient soil erosion monitoring and evaluation method and provide effective monitoring tools for agricultural water and soil conservation, ecological safety management and stable food production in Jilin Province and similar black soil areas.

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Land Degradation Risk Assessment for Tuzla Creek Basin (Biga Peninsula) Using a GIS- Based RUSLE Model

Cited by 16 publications

References 0 publications

Kaman Deresi Havzasının Erozyon Duyarlılığı

Kaman Deresi Havzasının Erozyon Duyarlılığı

Untitled

Assessment of Soil Erosion by the RUSLE Model Using Remote Sensing and GIS: A Case Study of Jilin Province of China

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