Identification of spatially distributed hotspots for soil loss and erosion potential in mining areas of Upper Damodar Basin – India

Empirical models, such as the Revised Universal Soil Loss Equation (RUSLE) are in use since the 1950s to estimate the mean annual soil loss for single agricultural fields or spatially-distributed for larger areas (municipalities, regions or states). A particular focus on the computation of the RUSLE lies in the calculation of the respective factors on which the equation is built on and represent the erosivity of rainfall events, the erodibility of soils, the topography and land management. However, the RUSLE is highly susceptible to large errors in the prediction of the erosion rates of single agricultural parcels, due to the high variability of these factors in large areas (e.g. on national scale).In this study, we present a parcel-sharp erosion map for the entire territory of Austria. We discuss frequent error sources of the factor computations and their consequences for the representativeness of erosion maps at nation-scale. Based on our results we discuss furthermore regional erosion hotspots and evaluate nationally funded management practices for soil erosion reduction as they are defined in the Austrian programme for an environmentally responsible agriculture (&#214;PUL).Since our approach depicts a novelty for Austria, we further describe opportunities for analysis of our results and highlight potential sources of errors, as well as regional and legal discrepancies of the distribution of national funds for soil conservation.

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Multi-scale Calibration and Validation of MHYDAS-Erosion for A Small Mediterranean Vineyard Catchment: A Case Study

Revue des sciences de l eau ◽

10.7202/1021980ar ◽

2014 ◽

Vol 27 (1) ◽

pp. 21-36

Author(s):

Silvio Jose Gumiere ◽

Laurence Delattre ◽

Yves Le Bissonnais ◽

Bruno Cheviron ◽

Abir Ben Slimane ◽

...

Keyword(s):

Soil Loss ◽

Expert Knowledge ◽

Physical Parameters ◽

Calibration And Validation ◽

Multi Scale ◽

Spatially Distributed ◽

Scale Calibration ◽

Parameter Values ◽

Total Discharge

Abstract In this work we present a case study of the multi-scale calibration and validation of MHYDAS-Erosion applied to a Mediterranean vineyard. The calibration was performed using expert knowledge in linking physical parameters to land uses with the automatic parameter estimation software PEST. MHYDAS-Erosion was calibrated and validated using spatially distributed observations on total discharge and soil loss. Calibration has been performed within six rainfall events; both hydrological and erosion parameters were calibrated using RMSE, R2 and the modified version of the Nash-Sutcliffe model efficiency criteria. Calibration results indicate there was good agreement between simulated and observed total discharge and total soil loss at the seven observation points (modified Nash-Sutcliffe efficiency (mNSE) ranging between 0.89 and 0.95). Acceptable results were obtained in terms of parameter values, identification of their physical meaning and coherence. However, some limitations were also identified, and could be remedied in more detailed studies involving (i) spatially-distributed rainfall on the catchment, (ii) a description of groundwater exfiltration and (iii) spatially-distributed properties of the ditches over the catchment. Validation results were quite satisfactory for three of the four validation events. The results from this case study suggest that MHYDAS-Erosion may need a specific calibration when applied to another catchment, but once it is calibrated, it could be used for multi-scale soil loss forecasting.

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Geographic information system-coupling sediment delivery distributed modeling based on observed data

Water Science & Technology ◽

10.2166/wst.2014.231 ◽

2014 ◽

Vol 70 (3) ◽

pp. 495-501 ◽

Cited By ~ 5

Author(s):

S. E. Lee ◽

S. H. Kang

Keyword(s):

Information System ◽

Geographic Information System ◽

Soil Erosion ◽

Soil Loss ◽

Geographic Information ◽

Delivery Ratio ◽

Sediment Discharge ◽

Sediment Delivery Ratio ◽

Sediment Delivery ◽

Spatially Distributed

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 equation (RUSLE) and a spatially distributed sediment delivery ratio, within Model Builder of ArcGIS's software. The model focuses on spatial variability and is useful for estimating the spatial patterns of soil loss and sediment discharge. The model consists of two modules, a soil erosion prediction component and a sediment delivery model. The integrated approach allows for relatively practical and cost-effective estimation of spatially distributed soil erosion and sediment delivery, for gauged or ungauged basins. This paper provides the first attempt at estimating sediment delivery ratio based on observed data in the monsoon region of Korea.

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Extreme spatial variability in riverine sediment load inputs due to soil loss in surface mining areas of the Lake Baikal basin

CATENA ◽

10.1016/j.catena.2017.01.008 ◽

2017 ◽

Vol 152 ◽

pp. 82-93 ◽

Cited By ~ 23

Author(s):

Jan Pietroń ◽

Sergey R. Chalov ◽

Aleksandra S. Chalova ◽

Alexey V. Alekseenko ◽

Jerker Jarsjö

Keyword(s):

Spatial Variability ◽

Lake Baikal ◽

Soil Loss ◽

Sediment Load ◽

Surface Mining ◽

Baikal Basin ◽

Mining Areas ◽

Lake Baikal Basin ◽

Riverine Sediment

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Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hillslope mining areas

International Soil and Water Conservation Research ◽

10.1016/j.iswcr.2017.11.002 ◽

2018 ◽

Vol 6 (1) ◽

pp. 31-42 ◽

Cited By ~ 33

Author(s):

Narayan Kayet ◽

Khanindra Pathak ◽

Abhisek Chakrabarty ◽

Satiprasad Sahoo

Keyword(s):

Soil Loss ◽

Loss Estimation ◽

Rusle Model ◽

Mining Areas ◽

Scs Cn

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

FROPIL (Forum Profesional Teknik Sipil) ◽

10.33019/fropil.v7i2.1627 ◽

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.

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