Quantification and Evaluation of Water Erosion

2020 ◽  
pp. 140-161
Author(s):  
Souad Ben Salem ◽  
Abdelkrim Ben Salem ◽  
Ahmed Karmaoui ◽  
Mohammed Khebiza Yacoubi ◽  
Mohammed Messouli
Keyword(s):  
Erosion Rate ◽  
Water Erosion ◽  
Delivery Ratio ◽  
Arid Zones ◽  
Human Intervention ◽  
Sedimentation Analysis ◽  
Sediment Retention ◽  
Sediment Delivery ◽  
Eastern Morocco ◽  
Sdr Model

The Ziz Watershed is located in the arid zones of South-Eastern Morocco and belongs to the large basin of Ziz-Rheris. In this basin, floods are related to natural factors and mainly to the occupation of the hydraulic public domain and the human intervention on the courses of the rivers. Increases in sediment yield are observed in many places in the Ziz, dramatically affecting water quality and reservoir management. In order to map overland sediment generation and delivery to the stream (studying the service of sediment retention), the InVEST sediment delivery ratio (SDR) model was applied. The sedimentation analysis in the Hassan Dakhil Dam, located in this watershed, shows that there is a very important erosion rate. The proof is the rapid filling of the dam. This is due to the transport of sediments in the rivers. If this situation continues at the current rate, the dam will no longer be fully operational for irrigation by 2050.

scholarly journals Modelling Sediment Retention Services and Soil Erosion Changes in Portugal: A Spatio-Temporal Approach

2021 ◽  
Vol 10 (4) ◽  
pp. 262
Author(s):  
Susana M. Marques ◽  
Felipe S. Campos ◽  
João David ◽  
Pedro Cabral
Keyword(s):  
Soil Erosion ◽  
Water Conservation ◽  
National Level ◽  
Well Being ◽  
Environmental Conservation ◽  
Delivery Ratio ◽  
Sediment Retention ◽  
Erosion Processes ◽  
Spatio Temporal ◽  
Sdr Model

Soils provide important regulating ecosystem services and have crucial implications for human well-being and environmental conservation. However, soil degradation and particularly soil erosion jeopardize the maintenance and existence of these services. This study explores the spatio–temporal relationships of soil erosion to understand the distribution patterns of sediment retention services in mainland Portugal. Based on Corine Land Cover maps from 1990 to 2018, the InVEST Sediment Delivery Ratio (SDR) model was used to evaluate the influence of sediment dynamics for soil and water conservation. Spatial differences in the sediment retention levels were observed within the NUTS III boundaries, showing which areas are more vulnerable to soil erosion processes. Results indicated that the Region of Leiria, Douro and the coastal regions have decreased importantly in sediment retention capacity over the years. However, in most of the territory (77.52%), changes in sediment retention were little or were not important (i.e., less than 5%). The statistical validation of the model proved the consistency of the results, demonstrating that the InVEST SDR model is an appropriate tool for estimating soil loss potential by water at regional/national levels, although having its limitations. These findings can be relevant to support strategies for more efficient land-use planning regarding soil erosion mitigation practices and to stimulate further investigation at a national level on this important ecosystem service.

scholarly journals Spatial Modeling of Sediment Export Rate with Rainfall Variability Scenario in Peusangan Watershed, Aceh Province

2021 ◽  
Vol 925 (1) ◽  
pp. 012026
Author(s):  
E Djunarsjah ◽  
M M Julian ◽  
A A Baskoro ◽  
N R Alfandi
Keyword(s):  
Erosion Rate ◽  
Rainfall Variability ◽  
Annual Number ◽  
Delivery Ratio ◽  
Water Runoff ◽  
Sediment Delivery ◽  
Export Rate ◽  
Aceh Province ◽  
Sediment Export

Abstract The rainfall affects the environmental interaction of watersheds and coastal areas. The high intensity of rain and water runoff will lift and carry particles in the watershed environment in the erosion process. This study estimates the total exports of sediment in Peusangan Watershed in the period 1995, 2005, 2015, and 2018 with rainfall variability scenarios. Total sediment exports are calculated from the erosion rate and sediment delivery ratio (SDR). Erosion rate modeling uses the RUSLE (Revised Universal Soil Loss Equation) that takes into account erosivity of rainfall, soil erodiability, topography, land cover, and land-use practices. While SDR is calculated based on its function as watershed area so that homogeneous value that causes the value of sediment export rate is directly proportional to the erosion rate value. The correlation between rainfall variability and sediment export rates is calculated based on rainfall variability correlation to erosion rate change. There is a direct relationship between rainfall variability and sediment export rates because the correlation coefficient is close to one. The rate of erosion in Peusangan watersheds falls into the light category based on the classification of erosion hazard levels according to the Ministry of Forestry in 1998. Based on the estimated rate of erosion and SDR, the total annual number of sediment exports obtained in the Peusangan watershed in 1995, 2005, 2015, and 2018 amounted to 1,066,027,426 tons, 909,914,623 tons, 1,075,759,133 tons, and 1,085,490,841 tons, respectively. Based on the spatial distribution of sediment export, Peusangan Watershed falls into the category of normal erosion.

scholarly journals Different approaches to estimate the sediment yield in a tropical watershed

RBRH ◽  
2018 ◽  
Vol 23 (0) ◽  
Author(s):  
Carina Barbosa Colman ◽  
Karina Mendes Pinheiro Garcia ◽  
Rodrigo Bahia Pereira ◽  
Enio Arriero Shinma ◽  
Fernanda Ely Lima ◽  
...  
Keyword(s):  
Sediment Yield ◽  
Soil Loss ◽  
Delivery Ratio ◽  
Ungauged Basins ◽  
Sediment Delivery Ratio ◽  
Sediment Delivery ◽  
Yield Values ◽  
Sdr Model ◽  
Tropical Watershed ◽  
Soil Loss Equation

ABSTRACT Several Sediment Delivery Ratio (SDR) models have been used to estimate Sediment Yield (SY), mainly in data-scarce and ungauged basins, such as in many regions of Brazil. However, it is difficult to choose the most suitable SDR model, mainly because of the lack of investigations of this approach using observed data. Here, we investigated the performance of five widely used SDR models (SDREST) to estimate sediment yield values (SYEST ) based on observed data in a tropical watershed. We used observed sediment yield values (SY OBS) during September 2011 to July 2017 in three sub-basins of the Guariroba Basin, Midwestern Brazil. To estimate the average annual soil loss, we used the Revised Universal Soil Loss Equation. The SDROBS and SYOBS ranged from 5.56 to 10.54% and 940.76 to 5,400.32 t yr-1, respectively. The Williams and Berndt (1972) method presented the best performance, with a percent bias ranging from -2.34 to 3.30% in SRD estimation. Therefore, this model provided suitable SDR and SY estimates, and may be useful to estimate SY in other tropical data-scarce and ungauged basins.

scholarly journals The Effect of Changes in Land Cover on Total Sediment Yield in Peusangan Watershed, Aceh Province

2021 ◽  
Vol 925 (1) ◽  
pp. 012029
Author(s):  
E Djunarsjah ◽  
M M Julian ◽  
N R Alfandi ◽  
A A Baskoro
Keyword(s):  
Land Cover ◽  
Sediment Yield ◽  
Erosion Rate ◽  
River Flow ◽  
Water Infiltration ◽  
Delivery Ratio ◽  
Sediment Delivery Ratio ◽  
Sediment Delivery ◽  
Aceh Province ◽  
Total Sediment

Abstract The watershed is an area above or higher than a river whose topographical boundaries cause water to flow into the same river. The river flow carries sediment particles that potentially cause silting of the estuary area. The sediment carried by the river flows from the erosion process that occurs in the watershed. Changes in land cover potentially affect the rate of sediment export to rivers due to changes in surface roughness and water infiltration rate to the ground. This study aims to identify the effect of the land cover change on the total sediment yield from the Peusangan Watershed, Aceh Province. The sediment yield is calculated from the erosion rate and the sediment delivery ratio. The erosion rate is modeled using the revised universal soil loss equation, while the sediment delivery ratio is calculated based on the function of the watershed area. From the results of the calculation, in general, the rate of erosion is at a very level where the average erosion rate in 1995 is 26,715 tons/ha/year, in 2005 it is 26,886 tons/ha/year, in 2015 it is 24,959 tons/ha/year and in 2018 amounted to 26,771 tons/ha/year. With a sediment delivery ratio value of 0.180, The total sediment yield was 1,083,148.20 tons in 1995, 1,090,047.94 tons in 2005, 1,011,920.71 tons in 2015, and 1,085,398.35 tons in 2018. The identification results show that the changes in land cover affect the total sediment yield that comes out of the watershed.

scholarly journals Spatial Decision Assistance of Watershed Sedimentation (SDAS): Development and Application

2018 ◽  
Author(s):  
Poerbandono ◽  
agung budi harto ◽  
Miga Magenika Julian
Keyword(s):  
Land Cover ◽  
Sediment Yield ◽  
Erosion Rate ◽  
Delivery Ratio ◽  
Observation Data ◽  
Sediment Discharge ◽  
Sediment Delivery ◽  
Spatial Unit ◽  
Model Soil ◽  
Minimum Number

This paper discusses the development and application of a spatial tool for erosion modeling named Spatial Decision Assistance of Watershed Sedimentation (SDAS). SDAS computes export (yield) of sediment from watershed as product of erosion rate and sediment delivery ratio (SDR). The erosion rate is calculated for each raster grid according to a digital elevation model, soil, rain fall depth, and land cover data using the Universal Soil Loss Equation. SDR calculation is carried out for each spatial unit. A spatial unit is the smallest sub-watershed considered in the model and generated according to the TauDEM algorithm. The size of one spatial unit is assigned by the user as the minimum number of raster grids. SDR is inversely proportional to sediment resident time and controlled by rainfall, slope, soil, and land cover. Application of SDAS is demonstrated in this paper by simulating the spatial distribution of the annual sediment yield across the Citarum watershed in the northwest of Java, Indonesia. SDAS calibration was carried out based on sediment discharge observations from the upper catchment. We considered factors for hillslope flow depth and for actual and effective rainfall duration to fit the computed sediment yield to the observed sediment discharge. The computed sediment yield agreed with the observation data with a 7% mean relative accuracy.

RUSLE and SDR model for erosional risk assessment and sediment yield estimation of Achara basin, western coast, India

2021 ◽  
Vol 14 (7) ◽  
pp. 19-31
Author(s):  
V.A. Chougule ◽  
J.B. Sapkale ◽  
V.S. Pawar-Patil
Keyword(s):  
Soil Erosion ◽  
Sediment Yield ◽  
Crop Productivity ◽  
High Rate ◽  
Delivery Ratio ◽  
Western Coast ◽  
Sediment Delivery ◽  
Severe Problem ◽  
Applied Model ◽  
Sdr Model

The phenomenon of accelerated soil erosion, the resulting of irresponsible land use practices and human interference bring considerable changes within the Achara basin. The high rate of soil erosion deteriorates the fertility of the soil and consequently reduces crop productivity. Accumulation of transported soil at the lower part of the basin creates a severe problem of sedimentation within the channel and affects the hydraulic characteristics. The estimated potential sediment yield has been derived by using an integrated RUSLE model accompanied remote sensing database in geospatial environment. The result reveals the estimated average annual soil loss for the watershed as 18.81 t ha-1 year-1 . Sediment Delivery Ratio (SDR) fluctuates from 0.01 to 0.627. It has shown remarkably low for almost all parts of the basin, except steep slope and lower part of the watershed depending on the channel gradient of the major river. The junctions of the main channels are more susceptible to accumulate the sediment (> 4 t ha-1 year-1 ) within the basin. The lowermost portion of the basin receives a massive amount of sediment which ranges between 0.01 to 127 t ha-1 year-1 causing sedimentation within the estuary. The attempted work focuses on assessment of the erosional risk and sedimentation issue of Achara basin. The applied model will be helpful in the disaster management planning of such kind of coastal basins in Maharashtra.

KAJIAN EROSI LAHAN DI KAWASAN AIR STRIP RUNWAY 2600 BANDARA DEPATI AMIR (PGK) BERDASARKAN TATA GUNA LAHAN MASTERPLAN ULTIMATE

2019 ◽  
Vol 7 (2) ◽  
pp. 100-111
Author(s):  
Miskar Maini ◽  
Junita Eka Susanti
Keyword(s):  
Sediment Yield ◽  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Delivery Ratio ◽  
Sediment Delivery Ratio ◽  
Sediment Delivery ◽  
Soil Loss Equation

Standar permintaan engineering pesawat agar desain bangunan infrastruktur di area Air Strip Runway 2600 yang ada dapat mempunyai fungsi lain. Sedangkan kondisi lain sangat menentukan keselamatan karena lahan di sekitar Air Strip Runway 2600 Bandara Depati Amir (PGK) jika tidak ditutupi vegetasi seperti rumput, kondisi lain lahan yang belum ditutupi vegetasi di sekitar Air Strip Runway 2600 berpotensi akan mengalami erosi lahan, kemudian hasil erosi lahan ini akan terbawa oleh aliran air sehingga akan masuk ke saluran drainase yang akan menyebabkan sedimentasi pada saluran drainase tersebut, akhirnya akan berkurang efektifitas kinerja saluran drainase tersebut. Metode yang digunakan untuk memprediksi laju rata-rata erosi di area Air Strip Runway 2600 dengan memperhitungkan faktor erosivitas hujan, erodibilitas tanah, kemiringan lereng atau panjang lereng, pengelolaan tanaman dan konservasi tanah, yang masing masing tata guna lahan tersebut mengacu pada Masterplan Ultimate Bandara Depati Amir (PGK). Perhitungan dilakukan menggunakan persamaan USLE (Universal Soil Loss Equation) yang dikembangkan oleh Wischmeier dan Smith (1965, 1978), kemudian Sediment Delivery Ratio (SDR) dan Sediment Yield.Hasil penelitian ini, prediksi laju erosi permukaan pada area Air Strip Runway 2600 Bandara Depati Amir (PGK) tahun pertama yang mencapai 5,60 mm/tahun atau 100,76 Ton/Ha/tahun, laju erosi tahun kedua mencapai 3,38 mm/tahun atau 60,84 Ton/Ha/tahun dapat diklasifikasikan ke dalam kelas bahaya erosi sedang (kelas III) dan nilai SDR adalah sebesar 56,3%, nilai sediment yield (SR) pada tahun pertama sebesar 5.887,59 Ton/Tahun, pada tahun kedua ketika rumput pada area Air Strip telah tumbuh dengan sempurna terjadi penurunan hasil sediment yield yaitu nilai SR sebesar 3.554,85 Ton/Tahun.

scholarly journals Factors influencing the sediment delivery ratio of the Three Gorges Reservoir

2018 ◽  
Vol 40 ◽  
pp. 03019
Author(s):  
Dayu Wang ◽  
Chunhong Hu ◽  
Chunming Fang ◽  
Jianzhao Guan ◽  
Lei Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Three Gorges Reservoir ◽  
Delivery Ratio ◽  
Three Gorges ◽  
Sediment Delivery Ratio ◽  
Sediment Delivery ◽  
Shape Coefficient ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
Dam Site

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 influencing factors was then carried out using a mathematical model to simulate numerous sediment movement scenarios in the TGR. By changing the input conditions of the model, sufficient results were obtained to enable a sensitivity analysis of each factor. The results showed the flood retention time (FRT)—the ratio of reservoir capacity to average outflow discharge—was the principal factor influencing the SDR. The other factors (inflow sediment concentration, inflow sediment coefficient, inflow sediment gradations, and the shape coefficient of the inflow flood shape coefficient), also had an influence on the SDR. However, under different levels of FRT, their degrees of influence on the SDR were not the same..

scholarly journals Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

RBRH ◽  
2016 ◽  
Vol 21 (4) ◽  
pp. 728-741 ◽  
Author(s):  
Matheus Fonseca Durães ◽  
José Alexandre Pinto Coelho Filho ◽  
Vinícius Augusto de Oliveira
Keyword(s):  
Land Use ◽  
River Basin ◽  
Water Erosion ◽  
Sustainable Land Use ◽  
Delivery Rate ◽  
Sediment Delivery ◽  
Solid Discharge ◽  
Risk Areas ◽  
Gis Environment ◽  
Iguaçu River

ABSTRACT Soil erosion is one of the most striking environmental degradation processes, which its mapping and assessment is an important tool for management activities and natural resource management in river basins, allowing managers to implement policies and sustainable land use occupation. This work aimed to apply the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment in the upper Iguaçu river basin, located at Paraná State, in order to assess the vulnerability to water erosion as well as the concentration of dissolved solids in suspension to estimate the solid discharge and sediment delivery rate, allowing the identification of more susceptible areas to water erosion. The results showed that over 23.52% of the upper Iguaçu river basin presented soil losses below 2.5 t ha–1 yr–1, meaning current low potential for erosion. Regarding the solid discharge, the basin has values ranging from low to very high, also leading to high values for sediment delivery rate. The identification of risk areas associated with accelerated erosion, carried out in this study provide important information for measures associated with the management, conservation and planning of land use in the basin, which is highly relevant for predicting development of various scenarios for the state Paraná for its hydroelectric potential.

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