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Journal articles on the topic 'Sediment Delivery Ratio'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Anh Nguyen, Kieu, and Walter Chen. "Estimating sediment delivery ratio by stream slope and relief ratio." MATEC Web of Conferences 192 (2018): 02040. http://dx.doi.org/10.1051/matecconf/201819202040.

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Nowadays, the storage capacity of a reservoir reduced by sediment deposition is a concern of many countries in the world. Therefore, understanding the soil erosion and transportation process is a significant matter, which helps to manage and prevent sediments entering the reservoir. The main objective of this study is to examine the sediments reaching the outlet of a basin by empirical sediment delivery ratio (SDR) equations and the gross soil erosion. The Shihmen reservoir watershed is used as the study area. Because steep terrain is a characteristic feature of the study area, two SDR models

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2

Michalec, Bogusław. "DETERMINATION OF SEDIMENT DELIVERY RATIO IN DRAINING SYSTEMS." Acta Scientiarum Polonorum Formatio Circumiectus 4 (2018): 131–41. http://dx.doi.org/10.15576/asp.fc/2018.17.4.131.

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3

Woznicki, Sean A., and A. Pouyan Nejadhashemi. "Spatial and Temporal Variabilities of Sediment Delivery Ratio." Water Resources Management 27, no. 7 (2013): 2483–99. http://dx.doi.org/10.1007/s11269-013-0298-z.

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4

Wu, Lei, Xia Liu, and Xiao-yi Ma. "Research progress on the watershed sediment delivery ratio." International Journal of Environmental Studies 75, no. 4 (2017): 565–79. http://dx.doi.org/10.1080/00207233.2017.1392771.

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5

Tribiyono, Beny, S. B. Yuwono, and I. S. Banuwa. "ESTIMASI EROSI DAN POTENSI SEDIMEN DAM BATUTEGI DI DAS SEKAMPUNG HULU DENGAN METODE SDR (SEDIMENT DELIVERY RATIO)." Jurnal Hutan Tropis 6, no. 2 (2018): 161. http://dx.doi.org/10.20527/jht.v6i2.5404.

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Watershed The process of River Flow (DAS) conducted by humans is incorrect, causing damage and bad conditions to the environment on the downstream. Unregulated land use with land and air formulations in the Upper DAS section contains the amount of erosion. One of the main problems occurring in the Sekampung Hulu Basin is the magnitude of erosion. The erosion will increase the rate of erosion and the amount of sediment entering the river. The study aims to (1) estimate sediment potential in DAM Batutegi and (2) estimate erosion in Sekampung Hulu Basin with SDR method (Sediment Delivery Ratio).

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6

Diodato, Nazzareno, and Sergio Grauso. "An improved correlation model for sediment delivery ratio assessment." Environmental Earth Sciences 59, no. 1 (2009): 223–31. http://dx.doi.org/10.1007/s12665-009-0020-x.

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7

Lu, Hua, C. J. Moran, and Ian P. Prosser. "Modelling sediment delivery ratio over the Murray Darling Basin." Environmental Modelling & Software 21, no. 9 (2006): 1297–308. http://dx.doi.org/10.1016/j.envsoft.2005.04.021.

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8

Wang, Dayu, Chunhong Hu, Chunming Fang, Jianzhao Guan, and Lei Zhang. "Factors influencing the sediment delivery ratio of the Three Gorges Reservoir." E3S Web of Conferences 40 (2018): 03019. http://dx.doi.org/10.1051/e3sconf/20184003019.

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In recent years, the sediment delivery ratio (SDR) of the Three Gorges reservoir (TGR) has noticeably decreased as a result of the increase in water levels at the dam site and the decrease in inflow of fine particles, thereby resulting in increased reservoir siltation. Therefore, it is vital to research the factors that influence the SDR of the TGR. Factors that could have impact on the SDR were studied using TGR monitoring data. The study indicated that the water level at the dam site and inflow and outflow rates could have contributed to the change in the SDR. A sensitivity analysis of the i

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9

Thomas, Kent, Walter Chen, Bor-Shiun Lin, and Uma Seeboonruang. "Evaluation of the SEdiment Delivery Distributed (SEDD) Model in the Shihmen Reservoir Watershed." Sustainability 12, no. 15 (2020): 6221. http://dx.doi.org/10.3390/su12156221.

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The sediment delivery ratio (SDR) connects the weight of sediments eroded and transported from slopes of a watershed to the weight that eventually enters streams and rivers ending at the watershed outlet. For watershed management agencies, the estimation of annual sediment yield (SY) and the sediment delivery has been a top priority due to the influence that sedimentation has on the holding capacity of reservoirs and the annual economic cost of sediment-related disasters. This study establishes the SEdiment Delivery Distributed (SEDD) model for the Shihmen Reservoir watershed using watershed-w

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10

Pak, Jang Hyuk, and Joo Heon Lee. "A hyper-concentrated sediment yield prediction model using sediment delivery ratio for large watersheds." KSCE Journal of Civil Engineering 16, no. 5 (2012): 883–91. http://dx.doi.org/10.1007/s12205-012-1588-3.

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11

H. Ssegane, E. W. Tollner, and S. C. McCutcheon. "Riparian Sediment Delivery Ratio: Stiff Diagrams and Artificial Neural Networks." Transactions of the ASABE 52, no. 6 (2009): 1885–93. http://dx.doi.org/10.13031/2013.29216.

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12

Piscoya, Victor Casimiro, Robson Carlos Pereira De Melo, Moacyr Cunha Filho, et al. "Sediment Delivery Ratio from a small Semiarid Watershed of Brazil." Revista Brasileira de Geografia Física 14, no. 3 (2021): 1586. http://dx.doi.org/10.26848/rbgf.v14.3.p1586-1596.

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13

Lee, S. E., and S. H. Kang. "Geographic information system-coupling sediment delivery distributed modeling based on observed data." Water Science and Technology 70, no. 3 (2014): 495–501. http://dx.doi.org/10.2166/wst.2014.231.

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Spatially distributed sediment delivery (SEDD) models are of great interest in estimating the expected effect of changes on soil erosion and sediment yield. However, they can only be applied if the model can be calibrated using observed data. This paper presents a geographic information system (GIS)-based method to calculate the sediment discharge from basins to coastal areas. For this, an SEDD model, with a sediment rating curve method based on observed data, is proposed and validated. The model proposed here has been developed using the combined application of the revised universal soil loss

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14

Tamrakar, Naresh Kazi, and Binod Karki. "Geomorphometric properties and variability of sediment delivery ratio and specific sediment yield among sub-basins of the Karra River, Hetauda, central Nepal Sub-Himalaya." Journal of Nepal Geological Society 59 (July 24, 2019): 19–37. http://dx.doi.org/10.3126/jngs.v59i0.24983.

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Geomorphometric properties of watershed-scale are often calculated to characterize drainage basins morphology for evaluating their geomorphic status of basin development. More recently these properties have widely been applied in inferring the sediment delivery ratio and sediment yields of the basin to estimate and know sediment erosion status of drainage basin with the help of morph metric data. In fact, sediment delivery ratio (SDR) and specific sediment yield (SSY) of the basins depend not only on watershed properties but also indirectly on other factors such as climate, hydrology, land use

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15

Silva, Alexandre Marco da, and Harry Edmar Schulz. "Hydrosedimentological dynamic on Água Fria Watershed." Brazilian Archives of Biology and Technology 50, no. 5 (2007): 861–70. http://dx.doi.org/10.1590/s1516-89132007000500014.

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This study aimed surveying the amount of sediment yielded from the Água Fria watershed (Palmas, Tocantins, Brazil), from February-1998 to January-1999, and investigating the relations between the sediment yield and some environmental and/or antropic factors. The Colby's method was the technique employed for this investigation. The specific sediment yield and sediment delivery ratio were also determined for this period. It was estimated that 138,619 tons of sediment were yielded and the specific sediment yield for the study area was 827 t km-2 y-1, while the sediment delivery ratio was 6.2%. Th

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16

Chen, Walter, and Kent Thomas. "Revised SEDD (RSEDD) Model for Sediment Delivery Processes at the Basin Scale." Sustainability 12, no. 12 (2020): 4928. http://dx.doi.org/10.3390/su12124928.

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Sediment transport to river channels in a basin is of great significance for a variety of reasons ranging from soil preservation to siltation prevention of reservoirs. Among the commonly used models of sediment transport, the SEdiment Delivery Distributed model (SEDD) uses an exponential function to model the likelihood of eroded soils reaching the rivers and denotes the probability as the Sediment Delivery Ratio of morphological unit i (SDRi). The use of probability to model SDRi in SEDD led us to examine the model and check for its statistical validity. As a result, we found that the SEDD mo

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17

Lakkad, AP, PK Shrivastava, KN Sondarva, and MG Varma. "Estimation of sediment delivery ratio at sub-watershed level using ArcSWAT Model." Current Advances in Agricultural Sciences(An International Journal) 9, no. 1 (2017): 29. http://dx.doi.org/10.5958/2394-4471.2017.00005.3.

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18

Zhang, Xiaoming, Sihong Wu, Wenhong Cao, Jianchao Guan, and Zhaoyan Wang. "Dependence of the sediment delivery ratio on scale and its fractal characteristics." International Journal of Sediment Research 30, no. 4 (2015): 338–43. http://dx.doi.org/10.1016/j.ijsrc.2015.03.011.

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19

Li, Mian, Wenyi Yao, Zhanbin Li, Puling Liu, Er Yang, and Zhenzhou Shen. "Using 137Cs to quantify the sediment delivery ratio in a small watershed." Applied Radiation and Isotopes 70, no. 1 (2012): 40–45. http://dx.doi.org/10.1016/j.apradiso.2011.07.010.

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20

Vigiak, O., L. Borselli, L. T. H. Newham, J. McInnes, and A. M. Roberts. "Comparison of conceptual landscape metrics to define hillslope-scale sediment delivery ratio." Geomorphology 138, no. 1 (2012): 74–88. http://dx.doi.org/10.1016/j.geomorph.2011.08.026.

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21

Shangwu, LIU, ZHANG Xiaofeng, XU Quanxi, ZHANG Ouyang, and HUANG Junjian. "Estimation of sediment amount from ungauged area and analysis of sediment delivery ratio of Three Gorges Reservoir." Journal of Lake Sciences 31, no. 1 (2019): 28–38. http://dx.doi.org/10.18307/2019.0103.

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22

Safiana, Dian, Eldina Fatimah, and Azmeri Azmeri. "STUDI SEDIMENTASI PADA DAS SEUNAGAN KABUPATEN NAGAN RAYA." Jurnal Arsip Rekayasa Sipil dan Perencanaan 2, no. 3 (2019): 224–34. http://dx.doi.org/10.24815/jarsp.v2i3.13459.

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Seunagan River Basin Area has a very important role as a water needs for the people in Nagan Raya Regency and the half of West Aceh Regency. The condition of Krueng Seunagan River Basin Area is getting more and more critical which is marked by a lot of dangerous activities inside and outside the River Basin Area such as mining, land conversion and so on. This study aim are for knowing how much a yearly sediment production that happened in Krueng Seunagan River Basin Area and the Sediment Delivery Ratio (SDR) and also to recommend the effort of land conservation. From the sediment rate analysis

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23

Kim, Tae Geun, and Min Joo Kim. "Estimation of Sediment Delivery Ratio in Upper Geum River Basin Using Watershed Model." Journal of Environmental Impact Assessment 22, no. 6 (2013): 695–703. http://dx.doi.org/10.14249/eia.2013.22.6.695.

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24

Sumarni, Sumarni, Mijani Rahman, and Abdur Rahman. "PENDEKATAN METODE SEDIMENT DELIVERY RATIO UNTUK MENGETAHUI TINGKAT KEKRITISAN BEBERAPA SUB DAS DI KALIMANTAN SELATAN DALAM HUBUNGANNYA DENGAN KESESUAIAN PERIKANAN." Fish Scientiae 4, no. 8 (2016): 121. http://dx.doi.org/10.20527/fs.v4i8.1124.

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Pendekatan Metode Sediment Delivery Ratio adalah salah satu metode untuk dapat menentukan tingkat kekritisan Sub DAS. Tujuan dari penelitian ini adalah untuk mengetahui besaran erosi yang terjadi, Sebaran tingkat kekritisan dan hubungan kadar muatan sedimen dengan kebutuhan perikanan di beberapa Sub DAS Kalimantan Selatan.Hasil analisis kualitas air terhadap total padatan tersuspensi (TSS) menunjukkan bahwa laju sedimentasi (pengendapan) tertinggi terletak pada daerah Sub DAS Sungai Kusan dengan kisaran sekitar 2918,22 ton/hari dan terendah terletak pada daerah Sub DAS Pelaihari dengan kisaran

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25

Diodato, N., M. Fagnano, and I. Alberico. "CliFEM – Climate Forcing and Erosion Modelling in the Sele River Basin (Southern Italy)." Natural Hazards and Earth System Sciences 9, no. 5 (2009): 1693–702. http://dx.doi.org/10.5194/nhess-9-1693-2009.

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Abstract. This study presents a revised and scale-adapted Foster-Meyer-Onstad model (Foster et al., 1977) for the transport of soil erosion sediments under scarce input data, with the acronym CliFEM (Climate Forcing and Erosion Modelling). This new idea was addressed to develop a monthly time scale invariant Net Erosion model (NER), with the aim to consider the different erosion processes operating at different time scales in the Sele River Basin (South Italy), during 1973–2007 period. The sediment delivery ratio approach was applied to obtain an indirect estimate of the gross erosion too. The

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26

Rymszewicz, A., E. Mockler, J. O'Sullivan, et al. "Assessing the applicability of the Revised Universal Soil Loss Equation (RUSLE) to Irish Catchments." Proceedings of the International Association of Hydrological Sciences 367 (March 3, 2015): 99–105. http://dx.doi.org/10.5194/piahs-367-99-2015.

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Abstract. Elevated suspended sediment concentrations in fluvial environments have important implications for system ecology and even small concentrations may have serious consequences for sensitive ecosystems or organisms, such as freshwater pearl mussels (Margaritifera margaritifera). Informed decision making is therefore required for land managers to understand and control soil erosion and sediment delivery to the river network. However, given that monitoring of sediment fluxes requires financial and human resources which are often limited at a national scale, sediment mobilisation and deliv

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27

Piscoya, Victor, Vijay Singh, José Cantalice, et al. "Evaluating of Sediment Delivery Ratio on Spatial and Temporal Variabilities in Semiarid Watershed Brazil." Journal of Experimental Agriculture International 23, no. 2 (2018): 1–10. http://dx.doi.org/10.9734/jeai/2018/41408.

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28

Ebisemiju, Fola S. "Sediment delivery ratio prediction equations for short catchment slopes in a humid tropical environment." Journal of Hydrology 114, no. 1-2 (1990): 191–208. http://dx.doi.org/10.1016/0022-1694(90)90081-8.

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29

Lee, S. E., and S. H. Kang. "Estimating the GIS-based soil loss and sediment delivery ratio to the sea for four major basins in South Korea." Water Science and Technology 68, no. 1 (2013): 124–33. http://dx.doi.org/10.2166/wst.2013.194.

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This paper describes a sediment delivery ratio (SDR) using the Geographic Information System (GIS)-based Revised Universal Soil Loss Equation (RUSLE), to calculate the soil loss and sediment rating curve (SRC) basis of measured data in the six basins of Four Rivers, South Korea. The data set for calculating SDR was prepared during 3 years from 2008 to 2010. Mean soil loss in the six basins of Four Rivers was 515–869 t km−2 yr−1 and mean specific sediment yield (SSY) was 20–208 t km−2 yr−1 with basin size. The SDR ranged from 0.03 to 0.33 in the six rivers. Most sediment flows in the monsoon pe

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30

Worrall, Fred, Tim P. Burt, Nicholas J. K. Howden, and Gregory R. Hancock. "Variation in suspended sediment yield across the UK – A failure of the concept and interpretation of the sediment delivery ratio." Journal of Hydrology 519 (November 2014): 1985–96. http://dx.doi.org/10.1016/j.jhydrol.2014.09.066.

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31

Sidorchuk, A. Yu. "THE FLUVIAL SYSTEM ON THE EAST EUROPEAN PLAIN: SEDIMENT SOURCE AND SINk." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 11, no. 3 (2018): 5–20. http://dx.doi.org/10.24057/2071-9388-2018-11-3-05-20.

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The modern fluvial system on the lowland East European Plain is of depositional type. Sediment transport to the seas is only a few percent of the total erosion, and the main part of eroded material is accumulated in the channels. The recent deposition of suspended sediments is caused by accelerated soil erosion on the arable slopes, which led to a high rate of lateral sediment input and deposition at the river headwaters and on the floodplains. The process of accumulation is facilitated by the unfilled “negative” volume of the net of dry valleys formed during the Late Glacial catastrophic eros

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32

Marques, Valter, Marcos Ceddia, Mauro Antunes, et al. "USLE K-Factor Method Selection for a Tropical Catchment." Sustainability 11, no. 7 (2019): 1840. http://dx.doi.org/10.3390/su11071840.

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The use of the Universal Soil Loss Equation (USLE) and the Sediment Delivery Ratio (SDR) facilitates sediment yield (SY) estimates in watersheds. However, the soil loss predictions are frequently unrealistic because of the methods used to estimate the USLE’s factors. Here, we evaluated the performance of methods to estimate the soil erodibility (K-factor) and the influence of its estimation in the SY predictions. K-factor values were obtained from three widely used equations and using a portable rainfall simulator. These values were used to compute annual average soil loss and SY in a tropical

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Halbfaß, Stefan, and Karsten Grunewald. "Ermittlung räumlich verteilter Sediment Delivery Ratio zur Modellierung von Sedimenteinträgen in Fließgewässer im mittleren Maßstab." WASSERWIRTSCHAFT 98, no. 3 (2008): 33–37. http://dx.doi.org/10.1007/bf03241461.

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34

Silva, Alexandre Marco da, Alexandre Ribas dos Santos, Rodolpho Augusto Fernandes, et al. "Hydrosedimentological disequilibrium in a small, urbanized watershed." Acta Limnologica Brasiliensia 25, no. 2 (2013): 140–49. http://dx.doi.org/10.1590/s2179-975x2013000200005.

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AIM: In this paper we estimate the sediment yield and other related information for a small urbanized watershed, located in Sorocaba, São Paulo State. The driving forces that produce the observed scenario are presented and discussed; METHODS: Over a year, water samples and hydrologic information concerning the river channel were collected monthly at one sampling site. In the laboratory, water samples were oven dried (80 ºC) and the total suspended solid weighed for each sample. To estimate sediment yield we used Colby's simplified method. The sediment delivery ratio (SDR) was estimated using t

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35

Wu, Lei, Yin He, and Xiaoyi Ma. "Using five long time series hydrometeorological data to calibrate a dynamic sediment delivery ratio algorithm for multi-scale sediment yield predictions." Environmental Science and Pollution Research 27, no. 14 (2020): 16377–92. http://dx.doi.org/10.1007/s11356-020-08121-8.

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36

García Montoya, Juan Pablo, Juan Vicente Giraldez Cervera, and Tom Vanwalleghem. "Climate and Land Use Change Effects on Sediment Production in a Dry Tropical Forest Catchment." Water 13, no. 16 (2021): 2233. http://dx.doi.org/10.3390/w13162233.

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Understanding the natural and anthropogenic drivers that influence erosion and sediment transport is a key prerequisite for adequate management of river basins, where, especially in tropical catchments, there are few direct measurements or modeling studies. Therefore, this study analyzed the effect of human-induced land-use changes and natural ENSO (El Niño-Southern Oscillation) related changes in rainfall patterns on soil erosion and catchment-scale sediment dynamics with the SEDD (Sediment Delivery Distributed) model. In the 393 km2 Tonusco river basin, representative of tropical, mountainou

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Zulfa Fauzi, Rifky Muhammad, and Maryono Maryono. "Kajian Erosi Dan Hasil Sedimen Untuk Konservasi Lahan DAS Kreo Hulu." JURNAL PEMBANGUNAN WILAYAH & KOTA 12, no. 4 (2017): 429. http://dx.doi.org/10.14710/pwk.v12i4.13508.

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Watershed as rainwater catchment are is susceptible with erosion and sedimentaion problems. The calculation of erosion and sediment yield can be calculated with USLE and SDR (Sediment Delivery Ratio) method at each area unit. This research intends to find out the erosion value, distribution and prediction of sediment yield contained in Kreo Hulu Watershed in 2009-2014. Data accumulation methods for the research are observation, documentation, and field measurement. The erosion forecast result in this research obtained based on overlay few maps, that is rain erosivity map, soil erodibility map,

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38

DONG, Yi-fan, Yong-qiu WU, Tian-yu ZHANG, Wei YANG, and Bao-yuan LIU. "The sediment delivery ratio in a small catchment in the black soil region of Northeast China." International Journal of Sediment Research 28, no. 1 (2013): 111–17. http://dx.doi.org/10.1016/s1001-6279(13)60023-2.

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Fu, XuDong, LiWei Jiang, BaoSheng Wu, ChunHong Hu, GuangQian Wang, and XiangJun Fei. "Sediment delivery ratio and its uncertainties on flood event scale: Quantification for the Lower Yellow River." Science China Technological Sciences 53, no. 3 (2010): 854–62. http://dx.doi.org/10.1007/s11431-010-0054-z.

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Zhang, Jin-shan, and Peng Cui. "An empirical formula for suspended sediment delivery ratio of main river after confluence of debris flow." Journal of Mountain Science 10, no. 2 (2013): 326–36. http://dx.doi.org/10.1007/s11629-013-2519-6.

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Bezukhov, D. A., V. N. Golosov, and A. V. Panin. "Evaluation of the sediment delivery ratio of small watersheds in the forest-steppe and steppe regions of the Russian plain." Izvestiya Rossiiskoi akademii nauk. Seriya geograficheskaya, no. 4 (August 28, 2019): 73–84. http://dx.doi.org/10.31857/s2587-55662019473-84.

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Dependence between sediment delivery ratio (SDR) and morphometric parameters of a set of 27 previously studied small watersheds located in the central and southern parts of the Russian plain in various geomorphological conditions in the areas of active agricultural development is established. The SDR of small riversheds were determined using field methods. When comparing the SDR with individual terrain characteristics, there is no direct linear relationship between each of the parameters and SDR. The highest value of the correlation coefficient between the SDR and relief indicators of the smal

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42

Porto, Paolo, Des E. Walling, Giovanni Callegari, and Antonina Capra. "Using caesium-137 and unsupported lead-210 measurements to explore the relationship between sediment mobilisation, sediment delivery and sediment yield for a Calabrian catchment." Marine and Freshwater Research 60, no. 7 (2009): 680. http://dx.doi.org/10.1071/mf08050.

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Recent concern about the many environmental problems associated with the transport of fine sediment by rivers has generated a need to obtain spatially distributed evidence of the erosion rates operating within a catchment and to explore more explicitly the links between sediment mobilisation, transfer, storage and output. In the past few decades, the fallout radionuclides caesium-137 (137Cs) and unsupported lead-210 (210Pbex) have been successfully used as tracers to estimate soil erosion and deposition rates in many areas of the world. However, to date, most studies using this approach have f

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43

Son, Kwang Ik, Kwang Sung Woo, Yong Gu Kang, Kyung Min Kim, and Gyo Chang Son. "Characteristics of Nonpoint Source Erosion from Burned Mountain Basin." Advanced Materials Research 610-613 (December 2012): 2787–90. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.2787.

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A drastic change of hydrological characteristics of a deforested basin causes severe runoff, sediment yield, and environmental contamination. In these days, many forest suffered from more frequent wildfires than before due to the climate change and human activities in Korea. A bared soil surface caused by wildfires results higher peak discharge and serious erosion over the basin. Ultimately, the increased sediment erosion results the nonpoint source contamination of water and soils of the basin. Systematic researches on sediment yields had been carried out with a mountainous watershed which ha

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44

Sa'ad, Nono Sutrisno. "Erosion Prediction Study of Tugu Utara (Ciliwung Hulu) Sub Watershed." Jurnal Ilmu Tanah dan Lingkungan 6, no. 1 (2004): 31–38. http://dx.doi.org/10.29244/jitl.6.1.31-38.

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The research of erosion prediction method at watershed scale was carried out at Tugu Utara (Upper Ciliwung) subwatershed in Puncak, West Java, Indonesia from August 2000 to February 2001. The objectives of this study were: ( I ) topredict erosion at watershed scale through approximation of sediment yield measurement at outlet of sub watershed, and (2)multple regression equation and Sediment Delivery Ratio (SDR) prediction. The experiment at Tugu Utara (upper Ciliwung)sub watershed measured the discharge, surface erosion by soilpan method, sediment yield by sampling at the outlet and SDR.The re

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IVANOVA, N. N., V. N. GOLOSOV, A. S. TSYPLENKOV, YU S. KUZNETSOVA, and D. V. BOTAVIN. "SOURCES OF THE BASIN COMPONENT OF THE SEDIMENT YIELD ON THE SMALL RIVER IN THE FOOTHILL-LOWLAND ZONE OF THE BLACK SEA COAST OF THE CAUCASUS (USING THE EXAMPLE OF THE TSANYK RIVER)." Engineering survey 12, no. 7-8 (2018): 62–74. http://dx.doi.org/10.25296/1997-8650-2018-12-7-8-62-74.

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Тhis study aims to evaluate features of the formation and sources of the basin component of the sediment yield during flash floods. Measuring campaigns were conducted in the weakly disturbed section of the Tsanyk River basin, located in the Greater Sochi area in the foothill-lowland zone of the Caucasus Black Sea coast. We used a set of field and calculation methods, including sediment dating with application of 137Cs, pin method, Yang's method, erosion modeling and others techniques for determining the rate of denudation and deposition processes. We investigated the processes of local and lon

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Lee, Geun-Sang, and Khil-Ha Lee. "Determining the Sediment Delivery Ratio Using the Sediment-Rating Curve and a Geographic Information System–Embedded Soil Erosion Model on a Basin Scale." Journal of Hydrologic Engineering 15, no. 10 (2010): 834–43. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000254.

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Pelletier, Jon D. "A spatially distributed model for the long-term suspended sediment discharge and delivery ratio of drainage basins." Journal of Geophysical Research: Earth Surface 117, F2 (2012): n/a. http://dx.doi.org/10.1029/2011jf002129.

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Aprisal, Aprisal. "PREDIKSI EROSI DAN SEDIMENTASI PADA BERBAGAI PENGGUNAAN LAHAN DI SUB DAS MASANG BAGIAN HULU DI KABUPATEN AGAM." Jurnal Solum 8, no. 1 (2011): 11. http://dx.doi.org/10.25077/js.8.1.11-18.2011.

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Erosion and sedimentation prediction in sub-watershed Masang was conducted to predict amount of soil eroded and sedimented from several land use in the location, and to find out alternative land use that can suppress erosion to be equal to or less than tolerated erosion as well. Methods employed to do this research were 1) analysis of basic data (topography map, land use map, and secondary data such as rainfall data from the nearest meteorology station), 2) soil survey and identification to field, 3) soil analyses at laboratorium, and 4) data analyses using USLE erosion model and sediment deli

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Darvishan, A., S. Sadeghi, and L. Gholami. "Efficacy of Time-Area Method in simulating temporal variation of sediment yield in Chehelgazi watershed, Iran." Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation 42, no. 1 (2010): 51–60. http://dx.doi.org/10.2478/v10060-008-0064-8.

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Efficacy of Time-Area Method in simulating temporal variation of sediment yield in Chehelgazi watershed, Iran The proper prediction of temporal and spatial variation of sediment yield from the watershed is a need for sediment control, river engineering and soil and water conservation studies. The present study was therefore planned to simulate the sediment graphs for Chehelgazi watershed in Gheshlagh dam upstream in Kurdistan Province, Iran, by using Time-Area Method. Towards this attempt, the study watershed was divided into 7 time-area segments based on the time of concentration. The soil er

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Cristan, Richard, W. Michael Aust, M. Chad Bolding, and Scott M. Barrett. "Estimated Sediment Protection Efficiences for Increasing Levels of Best Management Practices on Forest Harvests in the Piedmont, USA." Forests 10, no. 11 (2019): 997. http://dx.doi.org/10.3390/f10110997.

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In-stream watershed level evaluations confirm that application of recommended forestry best management practices (BMPs) can minimize sedimentation following management, while on-site erosion research shows that BMPs reduce erosion from individual forest operations, thus implying watershed-level sediment reductions. Assessments of forest operations and sediment have developed very few sediment delivery ratios (SDR). Linking BMP levels (low, standard recommendation, high) within specific forest operations to sedimentation could enable managers to evaluate BMP effects. Reported data regarding for

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