Surface runoff estimation over heterogeneous foothills of Aravalli mountain using medium resolution remote sensing rainfall data with soil conservation system-curve number method: A case of semi-arid ungauged Manesar Nala watershed

2017 ◽  
Vol 31 (2) ◽  
pp. 262-276
Author(s):  
Kishan Singh Rawat ◽  
Anil Kumar Mishra ◽  
Nayan Ahmad
Keyword(s):  
Remote Sensing ◽  
Surface Runoff ◽  
Soil Conservation ◽  
Curve Number ◽  
Rainfall Data ◽  
Curve Number Method ◽  
Medium Resolution ◽  
Semi Arid

scholarly journals ASSESSING THE IMPACT OF URBANIZATION ON DIRECT RUNOFF IN DISTRICT 8, HO CHI MINH CITY

2021 ◽  
Vol 11 (3) ◽  
pp. 145-156
Author(s):  
Van Minh NGUYEN ◽  
Elena Yurievna ZAYKOVA
Keyword(s):  
Remote Sensing ◽  
Surface Runoff ◽  
Soil Conservation ◽  
Curve Number ◽  
Ho Chi Minh City ◽  
Soil Conservation Service ◽  
Impact Of Urbanization ◽  
Service Curve ◽  
The Impact ◽  
Scs Cn

Ho Chi Minh City (HCMC) is among the cities that are most at risk of fl ooding worldwide. Urbanization processes have led to a change in land use, which in turn has resulted in an increase in impervious surfaces and runoff , thus again leading to the risk of fl ooding in the city. The aim of the article is to study the impact of urban development (on the example of District 8 of HCMC) on surface runoff using a combination of the interpretation of remote sensing images of the earth (ERS) Google Earth and the SCS-CN model (the Soil Conservation Service curve number). Theoretical models are used to analyze the relationship between the typology of buildings and areas of open and impervious surfaces. The interpretation of remote sensing images was carried out in the ArcGIS program. The method used to calculate surface runoff is the Soil Conservation Service Curve Number (SCS-CN) method developed by the US Soil Conservation Service and is suitable for assessing the eff ects of land-use/land cover change due to urbanization. The results of the study show the volume of surface runoff in areas with diff erent levels of urbanization in district 8 of HCMC, assessing the impact of urbanization processes on surface runoff and revealing new opportunities for managing this process. The combination of remote sensing interpretation and SCS-CN model makes it possible to assess the impact of urban development on surface runoff . Urbanization and an increase in built-up area strongly aff ect fl ooding, reducing the soil retention.

Estimation of surface runoff for an agricultural watershed using remote sensing and GIS based curve number method

2021 ◽  
Vol 20 (1) ◽  
pp. 74-80
Author(s):  
Love Kumar ◽  
Dhiraj Khalkho ◽  
V.K. Pandey ◽  
M.P. Tripathi ◽  
G.K. Nigam ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Runoff ◽  
Curve Number ◽  
Remote Sensing And Gis ◽  
Agricultural Watershed ◽  
Curve Number Method

scholarly journals Computation of Runoff by SCS-CN Method from micro watersheds of Urmodi basin in Maharashtra state using RS and GIS

Agropedology ◽  
2019 ◽  
Vol 27 (2) ◽  
Author(s):  
S.B. Nandgude ◽  
◽  
G.S. Jadhav ◽  
S.S. Shinde ◽  
D.M. Mahale ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Water Conservation ◽  
Surface Runoff ◽  
Daily Rainfall ◽  
Curve Number ◽  
Rainfall Data ◽  
Land Use Land Cover ◽  
Daily Rainfall Data

Flood is a natural or manmade phenomenon and timely and accurate forecasting of flood is very important. However forecasting of flood is a difficult task due to influence of rainfall-runoff process which depends on various factors. Estimation of surface runoff in a watershed is based on the rate of precipitation and discharge at the outlet. In this study, runoff from micro watersheds of Urmodi basin in Maharashtra state was computed by Soil Conservation Service-Curve Number method using remote sensing and Geographic Information System (GIS) techniques. Various thematic maps such as soil map, land use/land cover, stream order, slope etc. were prepared using remote sensing and GIS. Daily rainfall data was used for determining runoff. Antecedent moisture conditions were determined from daily rainfall data and for different CNs with the help of combined land use land cover and hydrologic soil group map in GIS environment. Results showed that the highest runoff for Bharatgaon and Nagthane micro watersheds was 46.20 mm and 54 mm respectively. Total runoff depth for the year 2014 was computed as 215.05 mm for Bharatgaon micro watershed and 277.68 mm for Nagthane micro watershed. Different soil and water conservation measures and water harvesting structures were recommended to control soil erosion and to harness the surface runoff.

scholarly journals Estimation of Runoff for Ozat Catchment using RS and GIS Based SCS-CN Method

2016 ◽  
Vol 11 (1) ◽  
pp. 212-217 ◽  
Author(s):  
Dipesh Chavda ◽  
Jaydip Makwana ◽  
Hitesh Parmar ◽  
Arvind Kunapara ◽  
Girish Prajapati
Keyword(s):  
Surface Runoff ◽  
Curve Number ◽  
Resource Planning ◽  
Critical Issue ◽  
Control Measures ◽  
Watershed Land Use ◽  
Rs And Gis ◽  
Curve Number Method ◽  
Semi Arid Region ◽  
Semi Arid

Estimation of runoff in a watershed is a prerequisite for design of hydraulic structures, reservoir operation and for soil erosion control measures. Water resource planning and management is important and critical issue in arid and semi-arid regions. Runoff from a watershed affected by several geo-morphological parameters and for a particular watershed land use change can affect the runoff volume and runoff rate significantly. Several methods are investigated to estimate the surface runoff from a catchment but the Curve Number method is mostly used. Present study was undertaken to estimate surface runoff and water availability for two sites (Ozat-2 and Zanzesri) in the Ozat catchment situated in Junagadh, Gujarat, India using RS and GIS based curve number method. The Weight curve number for the ozat catchment is 73.00. The correlation coefficient between calculated and observed runoff was good for both catchments. In this study found that SCS-curve number method along with RS and GIS can be used successfully in semi-arid region to simulate rainfall runoff and to estimate total surface water.

Surface runoff, soil and nutrient losses from farming systems in the Australian semi-arid tropics

1996 ◽  
Vol 36 (8) ◽  
pp. 1003 ◽  
Author(s):  
M Dilshad ◽  
JA Motha ◽  
LJ Peel
Keyword(s):  
Surface Runoff ◽  
Soil Conservation ◽  
Soil Loss ◽  
Soil Surface ◽  
Farming Systems ◽  
Surface Characteristics ◽  
Control Surface ◽  
Arable Soils ◽  
North West ◽  
Semi Arid

Most soils suitable for dryland agriculture in north-west Australia occur in the Daly Basin. These are sesquioxidic soils which include red, yellow and grey earths, and soils related to yellow and red earths. The potential, for these arable soils to be degraded by highly erosive rainfalls, common to the region, is high. Farming practices strongly influence the soil surface characteristics (vegetation cover, roughness, soil strength), which in turn control surface runoff, and sediment detachment and transport. In studies conducted during 1984-89 in the Daly Basin, conventionally tilled catchments, produced 1.5-2 times more runoff and lost 1.5-6 times more soil than their no-tillage counterparts (all catchments were within soil conservation banks). In these conventionally tilled catchments, soil loss was <8.1 t/ha.year. Other studies in the region have shown that, without soil conservation banks, soil loss can be around 100/ha.year under conventional tillage. Little work, however, has been undertaken on farms in the Australian semi-arid tropics to study the movement of nutrients and herbicides (in ionic and adsorbed forms) and further research is warranted.

scholarly journals Hydrological modeling using the SWAT Model in urban and peri-urban environments: The case of Kifissos experimental sub-basin (Athens, Greece)

2021 ◽  
Author(s):  
Evgenia Koltsida ◽  
Nikos Mamassis ◽  
Andreas Kallioras
Keyword(s):  
Surface Runoff ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Model Performance ◽  
Curve Number ◽  
Urban Environments ◽  
Time Intervals ◽  
Curve Number Method ◽  
Hourly Rainfall

Abstract. SWAT (Soil and Water Assessment Tool) is a continuous time, semi-distributed river basin model that has been widely used to evaluate the effects of alternative management decisions on water resources. This study, demonstrates the application of SWAT model for streamflow simulation in an experimental basin with daily and hourly rainfall observations to investigate the influence of rainfall resolution on model performance. The model was calibrated for 2018 and validated for 2019 using the SUFI-2 algorithm in the SWAT-CUP program. Daily surface runoff was estimated using the Curve Number method and hourly surface runoff was estimated using the Green and Ampt Mein Larson method. A sensitivity analysis conducted in this study showed that the parameters related to groundwater flow were more sensitive for daily time intervals and channel routing parameters were more influential for hourly time intervals. Model performance statistics and graphical techniques indicated that the daily model performed better than the sub-daily model. The Curve Number method produced higher discharge peaks than the Green and Ampt Mein Larson method and estimated better the observed values. Overall, the general agreement between observations and simulations in both models suggests that the SWAT model appears to be a reliable tool to predict discharge over long periods of time.

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