scholarly journals APPLICATION OF GIS IN MODELING ZILBERCHAI BASIN RUNOFF

2014 ◽  
Vol XL-2/W3 ◽  
pp. 181-186
Author(s):  
L. Malekani ◽  
S. Khaleghi ◽  
M. Mahmoodi
Keyword(s):  
Hydrologic Modeling ◽  
Curve Number ◽  
Geographic Information ◽  
Water Infiltration ◽  
Surface Water Resources ◽  
Gis Tools ◽  
Key Factor ◽  
Composite Curve ◽  
Scs Cn ◽  
Soil Groups

Runoff is one of most important hydrological variables that are used in many civil works, planning for optimal use of reservoirs, organizing rivers and warning flood. The runoff curve number (CN) is a key factor in determining runoff in the SCS (Soil Conservation Service) based hydrologic modeling method. The traditional SCS-CN method for calculating the composite curve number consumes a major portion of the hydrologic modeling time. Therefore, geographic information systems (GIS) are now being used in combination with the SCS-CN method. This work uses a methodology of determining surface runoff by Geographic Information System model and applying SCS-CN method that needs the necessary parameters such as land use map, hydrologic soil groups, rainfall data, DEM, physiographic characteristic of the basin. The model is built by implementing some well known hydrologic methods in GIS like as ArcHydro, ArcCN-Runoff for modeling of Zilberchai basin runoff. The results show that the high average weighted of curve number indicate that permeability of the basin is low and therefore likelihood of flooding is high. So the fundamental works is essential in order to increase water infiltration in Zilberchai basin and to avoid wasting surface water resources. Also comparing the results of the computed and observed runoff value show that use of GIS tools in addition to accelerate the calculation of the runoff also increase the accuracy of the results. This paper clearly demonstrates that the integration of GIS with the SCS-CN method provides a powerful tool for estimating runoff volumes in large basins.

scholarly journals RUNOFF TREND AND POTENTIALITY IN MELAKA TENGAH CATCHMENT OF MALAYSIA USING SCS-CN AND STATISTICAL TECHNIQUE

2016 ◽  
Vol 24 (4) ◽  
pp. 245-257 ◽  
Author(s):  
Sharif Moniruzzaman SHIRAZI ◽  
MD Ibrahim ADHAM ◽  
Faridah OTHMAN ◽  
Noorul Hasan ZARDARI ◽  
Zubaidah ISMAIL
Keyword(s):  
Land Use ◽  
Surface Water ◽  
Surface Runoff ◽  
Curve Number ◽  
Statistical Technique ◽  
Land Use Pattern ◽  
Surface Water Resources ◽  
Total Runoff ◽  
Use Pattern ◽  
Scs Cn

This study is focused to identify the surface runoff trends and potentiality of the five watersheds transforming the discrete runoff pattern to smooth patterns. Runoff potentiality was analyzed by Soil Conservation Service Curve Number (SCS-CN) technique. Considering Hydrologic Soil Group (HSG) and percentage of particular land use pattern, weighted cns of five watersheds were found between 82 and 85. Monthly surface runoff trends were investigated by statistical autocorrelation, Mann-Kendall, Sen slope and lowess methods. According to the Mann-Kendall method, no statistical significant monotonic trends were found for all the watersheds. Smoothing curve analysis reveals that the monthly mean runoff is 30 mm, 34 mm, 39 mm, 28 mm and 37 mm and the percentage of runoff is 23%, 25%, 31%, 25% and 26% for the watersheds 1, 2, 3, 4 and 5, respectively. Degree of effect of several land use pattern with corresponding soil type was analyzed to assess the total runoff volume for contributing to the surface water resources. Result shows that 26% of the rainwater contributes to the surface runoff of Melaka Tengah catchment and provides the information for planning of surface water management and potentiality of groundwater recharge.

scholarly journals Estimating Composite Curve Number Using an Improved SCS-CN Method with Remotely Sensed Variables in Guangzhou, China

2013 ◽  
Vol 5 (3) ◽  
pp. 1425-1438 ◽  
Author(s):  
Fenglei Fan ◽  
Yingbin Deng ◽  
Xuefei Hu ◽  
Qihao Weng
Keyword(s):  
Curve Number ◽  
Remotely Sensed ◽  
Composite Curve ◽  
Scs Cn

scholarly journals Study on Surface Runoff Estimation for Puzhal Lake Using GIS

2018 ◽  
Vol 7 (3.10) ◽  
pp. 135
Author(s):  
T Subramani ◽  
S Sasikala
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Soil Degradation ◽  
Curve Number ◽  
Environmental Condition ◽  
Environment Change ◽  
Geographic Data ◽  
Composite Curve ◽  
Scs Cn

To make greater in grow in land use/cover have lead to environment change in Puzhal Lake and flooding in under areas. environmental condition and the utilization of apparatus for cultivating in the zone are causing issues of soil degradation. Runoff is one in every of most vital hydrological factors that are utilized as a part of numerous common works, anticipating ideal utilization of supplies, sorting out waterways and cautioning flood. Appropriate to the spatial and transient fluctuation of the variables associated with surface runoff, the use of a displaying plan in a GIS ecological gives a productive way to deal with decide zones of concern. Three surface runoff models were connected including: the record strategy, SCS bend number technique, a semi physical way to deal with evaluate the dissemination of surface runoff. The customary SCS-CN strategy for computing the composite curve number devours a noteworthy part of the hydrologic displaying time. Hence, geographic data frameworks (GIS) are presently being utilized as a part of mix with the SCS-CN technique.  

scholarly journals Geographic Information Systems and the Sustainable Development of Rural Areas

Land ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 6
Author(s):  
Krystyna Kurowksa ◽  
Renata Marks-Bielska ◽  
Stanisław Bielski ◽  
Audrius Aleknavičius ◽  
Cezary Kowalczyk
Keyword(s):  
Sustainable Development ◽  
Rural Areas ◽  
Spatial Dimension ◽  
Geographic Information ◽  
Spatial Analyses ◽  
The Sustainable Development ◽  
Main Research ◽  
Current State ◽  
Gis Tools ◽  
Political Economic

Sustainable development is socioeconomic growth that integrates political, economic, and social measures alongside environmental protection to meet the needs of communities and citizens without compromising the ability of future generations to meet their needs. The sustainable development concept was initially based on three main pillars: environment, economy, and society. In successive years, this concept has been expanded to include new pillars. The awareness of these changes has influenced our research interests. The main research objective of this study was to evaluate the applicability of geographic information system (GIS) tools (data, tools, and multidimensional analyses) to the implementation of sustainable development principles in rural areas. The study covered rural and nonurbanized areas in Poland, especially farmland, forests, fisheries, and farms. The study presents the results of our research into environmental, economic, and social determinants of growth in the spatial dimension. GIS tools continue to evolve, which improves access to information and increases database managers’ awareness that highly accurate data are needed for spatial analyses. GIS systems allow us to formulate, in a structured and formal way, models that reflect both the current state and forecast changes that will occur in space. It is a very useful tool in the sustainable development of rural areas.

scholarly journals Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 704
Author(s):  
Hussein Al-Ghobari ◽  
Ahmed Z. Dewidar
Keyword(s):  
Water Conservation ◽  
Surface Runoff ◽  
Rainwater Harvesting ◽  
Global Climate ◽  
Remote Sensing Data ◽  
Curve Number ◽  
Drainage Density ◽  
Promising Alternative ◽  
Thematic Layers ◽  
Scs Cn

An increasing scarcity of water, as well as rapid global climate change, requires more effective water conservation alternatives. One promising alternative is rainwater harvesting (RWH). Nevertheless, the evaluation of RWH potential together with the selection of appropriate sites for RWH structures is significantly difficult for the water managers. This study deals with this difficulty by identifying RWH potential areas and sites for RWH structures utilizing geospatial and multi-criteria decision analysis (MCDA) techniques. The conventional data and remote sensing data were employed to set up needed thematic layers using ArcGIS software. The soil conservation service curve number (SCS-CN) method was used to determine surface runoff, centered on which yearly runoff potential map was produced in the ArcGIS environment. Thematic layers such as drainage density, slope, land use/cover, and runoff were allotted appropriate weights to produced RWH potential areas and zones appropriate for RWH structures maps of the study location. Results analysis revealed that the outcomes of the spatial allocation of yearly surface runoff depth ranging from 83 to 295 mm. Moreover, RWH potential areas results showed that the study areas can be categorized into three RWH potential areas: (a) low suitability, (b) medium suitability, and (c) high suitability. Nearly 40% of the watershed zone falls within medium and high suitability RWH potential areas. It is deduced that the integrated MCDA and geospatial techniques provide a valuable and formidable resource for the strategizing of RWH within the study zones.

Empowering Halal in Waqaf Land Property Management Using Geographic Information System (GIS) Tools

2019 ◽  
pp. 151-157
Author(s):  
Sharifah Lailee Syed Abdullah ◽  
Khairulazhar Zainuddin ◽  
Sarina Muhammad Noor ◽  
Kamsol Mohamed Kassim ◽  
Hamlusalam Md Dali ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Property Management ◽  
Gis Tools

scholarly journals Improved SMA-based SCS-CN method incorporating storm duration for runoff prediction on the Loess Plateau, China

2020 ◽  
Vol 51 (3) ◽  
pp. 443-455
Author(s):  
Wenhai Shi ◽  
Ni Wang
Keyword(s):  
Loess Plateau ◽  
Curve Number ◽  
The Loess Plateau ◽  
Moisture Condition ◽  
Soil Moisture Accounting ◽  
Antecedent Moisture ◽  
Storm Duration ◽  
Service Curve ◽  
Scs Cn ◽  
Runoff Events

Abstract In the Soil Conservation Service Curve Number (SCS-CN) method for estimating runoff, three antecedent moisture condition (AMC) levels produce a discrete relation between the curve number (CN) and soil water content, which results in corresponding sudden jumps in estimated runoff. An improved soil moisture accounting (SMA)-based SCS-CN method that incorporates a continuous function for the AMC was developed to obviate sudden jumps in estimated runoff. However, this method ignores the effect of storm duration on surface runoff, yet this is an important component of rainfall-runoff processes. In this study, the SMA-based method for runoff estimation was modified by incorporating storm duration and a revised SMA procedure. Then, the performance of the proposed method was compared to both the original SCS-CN and SMA-based methods by applying them in three experimental watersheds located on the Loess Plateau, China. The results indicate that the SCS-CN method underestimates large runoff events and overestimates small runoff events, yielding an efficiency of 0.626 in calibration and 0.051 in validation; the SMA-based method has improved runoff estimation in both calibration (efficiency = 0.702) and validation (efficiency = 0.481). However, the proposed method performed significantly better than both, yielding model efficiencies of 0.810 and 0.779 in calibration and validation, respectively.

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