scholarly journals Development and Application of a QGIS-Based Model to Estimate Monthly Streamflow

2022 ◽  
Vol 11 (1) ◽  
pp. 40
Author(s):  
Hanyong Lee ◽  
Min Suh Chae ◽  
Jong-Yoon Park ◽  
Kyoung Jae Lim ◽  
Youn Shik Park
Keyword(s):  
Land Use ◽  
Impact Analysis ◽  
Curve Number ◽  
Rain Gauge ◽  
Geographical Information ◽  
Soil Group ◽  
Monthly Streamflow ◽  
Hydrologic Impact ◽  
Gis Software

Changes in rainfall pattern and land use have caused considerable impacts on the hydrological behavior of watersheds; a Long-Term Hydrologic Impact Analysis (L-THIA) model has been used to simulate such variations. The L-THIA model defines curve number according to the land use and hydrological soil group before calculating the direct runoff based on the amount of rainfall, making it a convenient method of analysis. Recently, a method was proposed to estimate baseflow using this model, which may be used to estimate the overall streamflow. Given that this model considers the spatial distribution of land use and hydrological soil groups and must use rainfall data at multiple positions, it requires the usage of a geographical information system (GIS). Therefore, a model that estimates streamflow using land use maps, hydrologic soil group maps, and rain gauge station maps in QGIS, a popular GIS software, was developed. This model was tested in 15 watersheds.

scholarly journals A Study to Suggest Monthly Baseflow Estimation Approach for the Long-Term Hydrologic Impact Analysis Models: A Case Study in South Korea

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2043
Author(s):  
Hanyong Lee ◽  
Hyun-Seok Choi ◽  
Min-Suh Chae ◽  
Youn-Shik Park
Keyword(s):  
Land Use ◽  
South Korea ◽  
Input Data ◽  
Impact Analysis ◽  
Prediction Method ◽  
Proposed Model ◽  
Hydrologic Impact ◽  
Analysis Models

Changes in both land use and rainfall patterns can lead to changes in the hydrologic behavior of the watershed. The long-term hydrologic impact analysis (L-THIA) model has been used to predict such changes and analyze the changes in mitigation scenarios. The model is simple as only a small amount of input data are required, but it can predict only the direct runoff and cannot determine the streamflow. This study, therefore, aimed to propose a method for predicting the monthly baseflow while maintaining the simplicity of the model. The monthly baseflows for 20 watersheds in South Korea were estimated under different land use conditions. Calibration of the monthly baseflow prediction method produced values for R2 and the Nash–Sutcliffe efficiency (NSE) within the ranges of 0.600–0.817 and 0.504–0.677, respectively; during validation, these values were in the ranges of 0.618–0.786 and 0.567–0.727, respectively. This indicates that the proposed method can reliably predict the monthly baseflow while maintaining the simplicity of the L-THIA model. The proposed model is expected to be applicable to all the various forms of the model.

scholarly journals CN Modeling for Predicting Discharge in Lesti Sub-watershed

2019 ◽  
Vol 8 (12) ◽  
pp. 4890-4896
Keyword(s):  
United States ◽  
Land Use ◽  
Curve Number ◽  
The United States ◽  
United States Department ◽  
Department Of Agriculture ◽  
Mathematical Formula ◽  
States Department ◽  
Soil Group ◽  
Rainfall Depth

This research intends to accurately mapping the Curve Number (CN) that is as the function of cover type, land use treatment, hydrology condition, and hydrologic soil group in the Lesti sub-watershed,. The methodology consists of to build the suitable CN modeling for predicting discharge in the Lesti sub-watershed and then to evaluate the result accurately. The value of CN is obtained from the mathematical formula with the input is rainfall depth and discharge. The result of CN modeling for the Lesti sub-watershed is accurate enough as is made by the United States Department of Agriculture (USDA) in USA. In addition, the CN mapping can be directly used by the engineers of the manager and designer on the water resources structures in Lesti sub-watershed

scholarly journals Hydrologic soil group based curve number matrix modeling for Enset-Based land use system in Meki River Watershed, Western Lake Ziway Sub-Basin, Central Rift Valley of Ethiopia

2021 ◽  
Author(s):  
Alemu Beyene Woldesenbet ◽  
Sebsebe Demisew Wudmatas ◽  
Mekuria Argaw Denboba ◽  
Azage Gebreyohannes Gebremariam
Keyword(s):  
Land Use ◽  
Curve Number ◽  
Infiltration Rate ◽  
River Watershed ◽  
Soil Database ◽  
Soil Group ◽  
Matrix Modeling ◽  
Western Lake ◽  
Land Use System ◽  
Hydrologic Soil Group

Abstract Background Enset-Based land use system (EBLUS) exhibits good carbon stock and infiltration rate equivalent to forest covered areas, which enhances infiltration and water holding capacity and it can reduce the curve number (CN) of the watersheds but it was not considered in former studies. Therefore, this study is planned to model the hydrologic soil group (HSG) based CN matrix of EBLUS relative to other LUSs with established hydrological characteristics in the Meki river watershed. The soil data is used to determine the HSG of the watershed collected from Ministry of Water, Irrigation and Energy (MOWIE) and verified by Harmonized World Soil Database (HWSD). A Model is developed for CN of EBLUS relative to other LUSs (Alemu’s formula). The model considers both infiltration rate measured using Amozi-meter and carbon stoke of soil weighed as 85% and 15% respectively. HEC-GEO-HMS model is used to consider the CN of EBLUS as a separate LUS to verify the developed CN matrix model to generate CN of the sub-watersheds. Result The field measurement results show that an infiltration rate of 12.9675,11.1875,10.375,7.065 and 12.8125mm hr -1 for Natural Forest, Grassland and plantation, cultivated, built-up and EBLUS respectively. The model is: and the resulting CN matrix of EBLUS is 39,51.5,58.3 and 61.6 for HSG of A,B,C and D respectively. Conclusion Significant reduction in mean CN of the watershed that shows the role of EBLUS in managing the water resources and flood is high. Therefore, escalating EBLUS will reduce the CN of the watershed which reduces runoff volume in the watershed and it ensures the sustainability of Lake Ziway by reducing sedimentation.

scholarly journals Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

Water ◽  
2016 ◽  
Vol 8 (4) ◽  
pp. 153 ◽  
Author(s):  
Jichul Ryu ◽  
Won Jang ◽  
Jonggun Kim ◽  
Joong Choi ◽  
Bernard Engel ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Curve Number ◽  
Regression Equation ◽  
Assessment Model ◽  
Watershed Scale ◽  
Hydrologic Impact

scholarly journals Surface Runoff Estimation for Godavari Eastern Delta Using SCS Curve Number and Geographical Information System

2020 ◽  
pp. 7-13
Author(s):  
G. Kishore Kumar ◽  
M. Raghu Babu ◽  
A. Mani ◽  
M. Martin Luther ◽  
V. Srinivasa Rao
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Andhra Pradesh ◽  
Curve Number ◽  
Geographical Information ◽  
Accurate Estimation ◽  
Entire Study ◽  
Gis And Remote Sensing ◽  
Erdas Imagine ◽  
Remote Sensing Techniques

NRSC-CN for surface runoff estimation is one of the most widely used methods. GIS and remote sensing techniques facilitate accurate estimation of surface runoff from an area. Water availability estimation can be understand by rainfall and runoff is essential. Runoff generated by rainfall is not only dependent on the intensity, duration and the distribution of rainfall, but also soil type, vegetation, and land-use types have significant effects on the runoff pattern. The present study aims to estimate runoff in a study area. The study was carried out in Godavari Eastern Delta in Andhra Pradesh, India. The land use/land cover map, soil map was prepared. The soil and land use map has been prepared by the information available at Andhra Pradesh space application centre. For the rectification of reference, soil and land use map of the study area ERDAS IMAGINE-8.4 software was used. For 30 years surface runoff was estimated, as the runoff value depends on the rainfall, trend of runoff was found to be highly dependable on the quantity of rainfall received within the entire study area. The yearly trend of rainfall during 1987 was 8.97 it’s but the other years, and therefore the runoff was also found to follow an equivalent trend. Similarly, for the year 1995, the runoff was recorded as high, which was also having the highest rainfall.

Comparison of Boolean and Fuzzy Classification Methods in Land Suitability Analysis by Using Geographical Information Systems

1992 ◽  
Vol 24 (4) ◽  
pp. 497-516 ◽  
Author(s):  
G B Hall ◽  
F Wang ◽  
Subaryono
Keyword(s):  
Land Use ◽  
Geographical Information Systems ◽  
Agricultural Land ◽  
Land Suitability ◽  
Fuzzy Classification ◽  
Geographical Information ◽  
Suitability Analysis ◽  
Suitability Evaluation ◽  
Fuzzy Methods ◽  
Gis Software

In this paper the information content of Boolean and fuzzy-set-based approaches to the problem of analyzing land suitability for agriculture within a geographical information system (GIS) is assessed. First, the two approaches to this problem are stated and formalized in the context of land-suitability evaluation. A database comprising 642 unique areas, 7 land qualities, 13 land characteristics, and 2 crop types is defined and described. Land-use suitability ratings for two crops, wetland rice and soybean, are generated by using Boolean and fuzzy methods. Results produced by the two methods are compared in terms of their usefulness for agricultural land-use plannning. The ARC/INFO vector-based GIS software package is utilized. The study area is the Cimanuk watershed in northwest Java, Indonesia.

scholarly journals Rainfall prediction to evaluate the flood risk using remote sensing and geographical information system

2021 ◽  
Vol 1 (2) ◽  
pp. 14-22
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Flood Risk ◽  
Curve Number ◽  
Geographical Information ◽  
Runoff Curve Number

Abstract: In this study, the runoff curve number map for Navrud watershed in north of Iran was determined based on the soil hydrological group, land-use and land-cover using remote sensing and geographical information system. For this objective, land-cover and Land-use situation maps were prepared using NDVI index and Landsat satellite data, respectively. Runoff curve number maps were determined using the overlay prepared maps in GIS and SCS table. For evaluating the accuracy of estimated curve numbers, runoff maximum discharge was calculated using HEC-HMS model and compared to the observed values. Furthermore, the climate change trend and probabilistic distribution functions were considered to predict the flood risk. The effects of climate change were defined by atmospheric general circulation models for A1B, A2 and B1 scenarios. Error analysis between calculated and observed discharge showed that watershed curve number was determined with acceptable accuracy.

scholarly journals Assessment of the Impacts of Land Use/Cover Change and Rainfall Change on Surface Runoff in China

2019 ◽  
Vol 11 (13) ◽  
pp. 3535 ◽  
Author(s):  
Fazhi Li ◽  
Jingqiu Chen ◽  
Yaoze Liu ◽  
Peng Xu ◽  
Hua Sun ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Texture Classification ◽  
Curve Number ◽  
Annual Runoff ◽  
Urban Land Use ◽  
Rainfall Change ◽  
Average Annual Runoff ◽  
Runoff Depth ◽  
Hydrologic Impact

Assessment of the impacts of land use/cover change (LUCC) and rainfall change on surface runoff depth can help provide an understanding of the temporal trend of variation of surface runoff and assist in urban construction planning. This study evaluated the impacts of LUCC and rainfall change on surface runoff depth by adopting the well-known Soil Conservation Service-Curve Number (SCS-CN) method and the widely used Long-Term Hydrologic Impact Assessment (L-THIA) model. National hydrologic soil group map of China was generated based on a conversion from soil texture classification system. The CN values were adjusted based on the land use/cover types and soil properties in China. The L-THIA model was configured by using the adjusted CN values and then applied nationally in China. Results show that nationwide rainfall changes and LUCC from 2005 to 2010 had little impact on the distribution of surface runoff, and the high values of runoff depth were mainly located in the middle and lower reaches of the Yangtze River. Nationally, the average annual runoff depths in 2005, 2010 and 2015 were 78 mm, 83 mm and 90 mm, respectively. For the 2015 land use data, rainfall change caused the variation of surface runoff depth ranging from −203 mm to 476 mm in different regions. LUCC from 2005 to 2015 did not cause obvious change of surface runoff depth, but expansion of developed land led to runoff depth increases ranging from 0 mm to 570 mm and 0 mm to 742 mm from 2005 to 2010 and 2010 to 2015, respectively. Potential solutions to urban land use change and surface runoff control were also analyzed.

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