scholarly journals Estimation of Surface Runoff in an Ungauged Basin Using SCS-CN Method, A Case Study of Manair River Basin in Telangana, India

2020 ◽  
Vol 8 (6) ◽  
pp. 340-350
Author(s):  
Abdul Moid Mohammed ◽  
Vijaya Lakshmi Thatiparthi ◽  
Kesava Rao Pyla ◽  
Abhilash Maryada
Keyword(s):  
River Basin ◽  
Surface Runoff ◽  
Ungauged Basin ◽  
Scs Cn

Assessment of surface runoff depth changes in Sǎrǎţel River basin, Romania using GIS techniques

2014 ◽  
Vol 6 (3) ◽  
Author(s):  
Costache Romulus ◽  
Fontanine Iulia ◽  
Corodescu Ema
Keyword(s):  
River Basin ◽  
Surface Runoff ◽  
Land Use Changes ◽  
Curve Number ◽  
Annual Rainfall ◽  
Average Annual Rainfall ◽  
Runoff Depth ◽  
Gis Environment ◽  
Quantitative Changes ◽  
Scs Cn

AbstractSǎrǎţel River basin, which is located in Curvature Subcarpahian area, has been facing an obvious increase in frequency of hydrological risk phenomena, associated with torrential events, during the last years. This trend is highly related to the increase in frequency of the extreme climatic phenomena and to the land use changes. The present study is aimed to highlight the spatial and quantitative changes occurred in surface runoff depth in Sǎrǎţel catchment, between 1990–2006. This purpose was reached by estimating the surface runoff depth assignable to the average annual rainfall, by means of SCS-CN method, which was integrated into the GIS environment through the ArcCN-Runoff extension, for ArcGIS 10.1. In order to compute the surface runoff depth, by CN method, the land cover and the hydrological soil classes were introduced as vector (polygon data), while the curve number and the average annual rainfall were introduced as tables. After spatially modeling the surface runoff depth for the two years, the 1990 raster dataset was subtracted from the 2006 raster dataset, in order to highlight the changes in surface runoff depth.

scholarly journals Extreme Variabilities of Rainfall and Runoff Regime within Vulnerable Hydrographic River Basins. Case Study: Elan River Basin, 2016 (Romania)

2019 ◽  
Vol 13 (1) ◽  
pp. 129-136
Author(s):  
Andreea-Violeta Tudorache
Keyword(s):  
River Basin ◽  
Surface Runoff ◽  
River Basins ◽  
Spatial And Temporal Variability ◽  
Monthly Precipitation ◽  
Runoff Regime ◽  
Torrential Rainfall ◽  
Maximum Flows ◽  
The Impact

Abstract The present paper analyzes the extreme variabilities of rainfall and runoff regime within vulnerable hydrographic river basins, focused on a case study: Elan river basin, year 2016. This year, due to excess rainfall, the Elan River basin was affected by torrential rainfall, warned against by orange and red code hydrological forecasts. For this reason, this study makes an analysis of the spatial and temporal variability of the surface runoff also considering the main flood events occurring in this river basin. The impact of liquid precipitation on the surface runoff will be highlighted by a statistical analysis of the relationship between monthly average flows and the sum of monthly precipitation in the river basin. The monthly flows series from the Murgeni and Poșta Elan hydrometric stations were capitalized through appropriate statistical analyses. Maximum flows were reported to the thresholds values corresponding to the Defense Levels.

scholarly journals Analysis of surface runoff potential in ungauged basin using basin parameters and SCS-CN method

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
K. Nageswara Rao
Keyword(s):  
Surface Runoff ◽  
Research Work ◽  
Curve Number ◽  
Morphometric Parameters ◽  
Rainfall Data ◽  
Eastern Ghats ◽  
Moisture Condition ◽  
Ungauged Basin ◽  
Runoff Potential ◽  
Scs Cn

AbstractThe present research work was carried out to understand the influence of basin morphometric parameters on runoff potential in an ungauged basin using satellite images, topographical maps, and rainfall data combined with geospatial techniques. The upper Gosthani river basin is an ungauged basin which is located in the Eastern Ghats of Visakhapatnam District, Andhra Pradesh State, Southern India. The river Gosthani and its tributaries are draining through the basin area covering about 321.1 km2. The quantitative analysis of basin morphometry reveals that the area is under influenced by steep ground slopes, with moderate to less permeable rocks, leading to high runoff. The basin is elongated in shape resulting to flatter peak of flow for longer duration. The daily rainfall data during 2008–2016 were used in the estimation of runoff potential with the help of the Soil Conservation Service-Curve Number (SCS-CN) model. The weighted curve number was determined by the integration of land use and land cover, antecedent moisture condition, and hydrological soil groups. It was observed from the analysis that the overall increase in runoff corresponding to the rainfall. The area receives a good amount of rainfall, but most of it lost as surface runoff (nearly 40% of total rainfall) due to rapid overland flow and impermeable rocks. Analysis of morphometric parameters combined with SCS-CN-based approaches can be explored as an alternative for simulating the hydrological response of the basins.

scholarly journals An approach to evaluate non-point source pollution in an ungauged basin: a case study in Xiao'anxi River Basin, China

2020 ◽  
Vol 20 (8) ◽  
pp. 3646-3657
Author(s):  
Li Zhou ◽  
Xing Zhang ◽  
Lingxue Liu ◽  
Ting Chen ◽  
Xing Liu ◽  
...  
Keyword(s):  
Point Source ◽  
River Basin ◽  
Field Investigation ◽  
Pollution Source ◽  
Environmental Capacity ◽  
Point Source Pollution ◽  
Ungauged Basin ◽  
Water Environmental Capacity ◽  
Non Point Source Pollution

Abstract It is challenging to evaluate non-point source pollution (NPSP) quantitatively and comprehensively in a basin without gauged data. In this paper, the export coefficient model (ECM), source strength coefficient method (SSCM), and the equivalent pollution loading method (EPLM) were integrated to evaluate NPSP in the Xiao’anxi River Basin (XRB) in 2018. The results showed that NPSP is the primary pollution type in the study area for 68.1% of the total pollution load. The primary pollutant was total nitrogen (TN), which accounted for 56.16% of the total pollution. Moreover, rural residents' living sewage accounted for 48.81% of NPSP, which was the primary pollution source. The evaluation results are consistent with field investigation, which indicates that the proposed integration method is capable of NPSP assessment in an ungauged basin. In addition, the hydrological analogy method and Q–V linear fitting were used to determine the discharge and flow velocity to calculate water environmental capacity, and compare with the prediction of NPSP in the study area in 2022. It was found that the critical rehabilitation regions are Bachuan Town, Nancheng Town, and Er'ping Town. Furthermore, the primary pollutants, TN and total phosphorus (TP), exceeded the water environmental capacity by 76.67% and 48.58%, respectively.

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