scholarly journals Analysis on the Effect of Land Use Changes on Flooding Using SCS Method and GIS

2007 ◽  
Vol 4 (2) ◽  
pp. 27
Author(s):  
Janmaizatulriah Jani ◽  
Wardah Tahir ◽  
Marfiah Ab. Wahid
Keyword(s):  
Land Use ◽  
Peak Flow ◽  
Land Use Changes ◽  
Curve Number ◽  
Urban Catchment ◽  
Indirect Measure ◽  
Close Proximity ◽  
The Us ◽  
Flood Estimation ◽  
Unit Hydrographs

The research investigated the effect of land use changes on flood estimation by focusing on a widely used method developed by the US Soil Conservation Services, namely SCS Curve Number method. This method was developed to estimate the peak flow and flood hydrograph based on several parameters, one of it is known as the Curve Number (CN). The CN which can be measured effectively using GIS is an indirect measure of soil potential storage and is dependent on the land use. The research explored the feasibility of the method to Malaysian catchments by firstly, analysed the CN in a small urban catchment of UiTM campus at Shah Alam and secondly compared the hydrograph calculated by the method with the observed ones. The results indicated a close proximity of the CN values obtained from the observed rainfall runoff and the values published by the US SCS (around 8 % difference). In addition, comparison between observed unit hydrographs and SCS unit hydrographs for the same rainfall duration indicated that the estimated values of peak discharge from the synthetic method were not very far from the observed values. Finally, it was shown that changes in land use especially during urbanization process would increase the peak flow, hence increase the possibility of flooding.

Analysis on the Effect of Land Use Changes on Flooding Using SCS Method and GIS

2007 ◽  
Vol 4 (2) ◽  
pp. 27
Author(s):  
Janmaizatulriah Jani ◽  
Wardah Tahir ◽  
Marfiah Abd. Wahid
Keyword(s):  
Land Use ◽  
Peak Flow ◽  
Land Use Changes ◽  
Curve Number ◽  
Urban Catchment ◽  
Indirect Measure ◽  
Close Proximity ◽  
The Us ◽  
Flood Estimation ◽  
Unit Hydrographs

The research investigated the effect of land use changes on flood estimation by focusing on a widely used method developed by the US Soil Conservation Services, namely SCS Curve Number method. This method was developed to estimate the peak flow and flood hydrograph based on several parameters, one of it is known as the Curve Number (CN). The CN which can be measured effectively using GIS is an indirect measure of soil potential storage and is dependent on the land use. The research explored the feasibility of the method to Malaysian catchments by firstly, analysed the CN in a small urban catchment of UiTM campus at Shah Alam and secondly compared the hydrograph calculated by the method with the observed ones. The results indicated a close proximity of the CN values obtained from the observed rainfall runoff and the values published by the US SCS (around 8 % difference). In addition, comparison between observed unit hydrographs and SCS unit hydrographs for the same rainfall duration indicated that the estimated values of peak discharge from the synthetic method were not very far from the observed values. Finally, it was shown that changes in land use especially during urbanization process would increase the peak flow, hence increase the possibility of flooding.

scholarly journals Modelling of the effects of land use changes on flood hydrograph in a small catchment of the Płaskowicka, southern part of Warsaw, Poland

2010 ◽  
Vol 42 (2) ◽  
pp. 229-240 ◽  
Author(s):  
Kazimierz Banasik ◽  
Ngoc Pham
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Curve Number ◽  
Model Parameters ◽  
Small Catchment ◽  
Rainfall Events ◽  
Flood Hydrograph ◽  
Flood Estimation ◽  
Effects Of Land Use ◽  
Heavy Rainfall Events

Modelling of the effects of land use changes on flood hydrograph in a small catchment of the Płaskowicka, southern part of Warsaw, Poland This study concerns the influence of urbanized trend affected on the flood hydrograph in a small catchment in Warsaw. Based on recorded events a selected procedure for simulation rainfall-runoff process has been accepted for flood estimation. The Soil Conservation Services Curve Number method (SCS-CN) and empirical formulae for Nash model parameters, developed by Rao at al. were used to analyze the nine selected events from 2007 to 2009. The analysis confirmed usefulness of the selected procedure, implicated in a home developed computer program, for estimating flood hydrographs as responses of the small urban catchment to heavy rainfall events. Flood hydrographs were estimated for three various stages of land use. The results demonstrate that the peak flood flow would increase over eight times due to urbanisation of the catchment.

scholarly journals The effect of land uses to change on infiltration capacity and surface runoff at latung sub watershed, Padang City Indonesia

2021 ◽  
Vol 331 ◽  
pp. 08002
Author(s):  
Rusli HAR ◽  
Aprisal ◽  
Werry Darta Taifur ◽  
Teguh Haria Aditia Putra
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Land Use Changes ◽  
Curve Number ◽  
Soil Infiltration ◽  
Infiltration Capacity ◽  
Rainwater Infiltration ◽  
Double Ring ◽  
Hydrology Modeling ◽  
Runoff Discharge

Changes in land use in the Air Dingin watershed (DAS) area in Padang City, Indonesia, lead to a decrease in rainwater infiltration volume to the ground. Some land use in the Latung sub-watershed decrease in infiltration capacity with an increase in surface runoff. This research aims to determine the effect of land-use changes on infiltration capacity and surface runoff. Purposive sampling method was used in this research. The infiltration capacity was measured directly in the field using a double-ring infiltrometer, and the data was processed using the Horton model. The obtained capacity was quantitatively classified using infiltration zoning. Meanwhile, the Hydrologic Engineering Center - Hydrology Modeling System with the Synthetic Unit Hydrograph- Soil Conservation Service -Curve Number method was used to analyze the runoff discharge. The results showed that from the 13 measurement points carried out, the infiltration capacity ranges from 0.082 - 0.70 cm/minute or an average of 0.398 cm/minute, while the rainwater volume is approximately 150,000 m3/hour/km2. Therefore, the soil infiltration capacity in the Latung sub-watershed is in zone VI-B or very low. This condition had an impact on changes in runoff discharge in this area, from 87.84 m3/second in 2010 to 112.8 m3/second in 2020 or a nail of 22.13%. Based on the results, it is concluded that changes in the land led to low soil infiltration capacity, thereby leading to an increase in surface runoff.

scholarly journals LOW COST POTENTIAL INFILTRATION ESTIMATION FOR WET TROPICAL WATERSHEDS FOR TERRITORIAL PLANNING SUPPORT

2017 ◽  
Vol 10 (2) ◽  
pp. 233-241
Author(s):  
Franciane Mendonça Dos Santos ◽  
José Augusto Lollo
Keyword(s):  
Land Use ◽  
Soil Conservation ◽  
Low Cost ◽  
Land Use Changes ◽  
Mass Movement ◽  
Curve Number ◽  
Annual Rainfall ◽  
Soil Conservation Service ◽  
Local Conditions ◽  
Territorial Planning

This study was developed at Caçula stream watershed of Ilha Solteira (Brazil) for potential infiltration estimation based on digital cartography. These methods aim at low-cost and quick analysis processes in order to support the territorial planning. The preliminary potential infiltration chart was produced using ArcHydro and pedological information of the study area. The curve-number method (Soil Conservation Service) was used to determine the potential infiltration combining information related to land-use and soil types in the watershed. We also used a methodology that assumes being possible to evaluate potential infiltration of a watershed combining average annual rainfall, land-use and watershed natural attributes (geomorphology, geology and pedology). Results show that ArcHydro is efficient for a preliminary characterization because it shows flow accumulation areas, allowing higher potential of degradation areas in terms of floods, mass movement and erosion. As land-use classes have significant weight in Soil Conservation Service method assessing potential infiltration, this method allow us to evaluate how land-use changes affect water dynamic in the watershed. The propose based on natural environment attributes enables to determine the homologous infiltration areas based on a higher number of natural characteristics of the area, and thereby obtain a result that is closer to the local conditions and, consequently for degradation surface processes identification.

scholarly journals How emissions, climate, and land use change will impact mid-century air quality over the United States: a focus on effects at National Parks

2014 ◽  
Vol 14 (19) ◽  
pp. 26495-26543 ◽  
Author(s):  
M. Val Martin ◽  
C. L. Heald ◽  
J.-F. Lamarque ◽  
S. Tilmes ◽  
L. K. Emmons ◽  
...  
Keyword(s):  
United States ◽  
Land Use ◽  
Air Quality ◽  
National Parks ◽  
Land Use Changes ◽  
The United States ◽  
Western Us ◽  
The Us ◽  
Us Epa ◽  
Surface O3

Abstract. We use a global coupled chemistry-climate-land model (CESM) to assess the integrated effect of climate, emissions and land use changes on annual surface O3 and PM2.5 on the United States with a focus on National Parks (NPs) and wilderness areas, using the RCP4.5 and RCP8.5 projections. We show that, when stringent domestic emission controls are applied, air quality is predicted to improve across the US, except surface O3 over the western and central US under RCP8.5 conditions, where rising background ozone counteracts domestic emissions reductions. Under the RCP4.5, surface O3 is substantially reduced (about 5 ppb), with daily maximum 8 h averages below the primary US EPA NAAQS of 75 ppb (and even 65 ppb) in all the NPs. PM2.5 is significantly reduced in both scenarios (4 μg m−3; ~50%), with levels below the annual US EPA NAAQS of 12 μg m−3 across all the NPs; visibility is also improved (10–15 deciviews; >75 km in visibility range), although some parks over the western US (40–74% of total sites in the US) may not reach the 2050 target to restore visibility to natural conditions by 2064. We estimate that climate-driven increases in fire activity may dominate summertime PM2.5 over the western US, potentially offsetting the large PM2.5 reductions from domestic emission controls, and keeping visibility at present-day levels in many parks. Our study suggests that air quality in 2050 will be primarily controlled by anthropogenic emission patterns. However, climate and land use changes alone may lead to a substantial increase in surface O3 (2–3 ppb) with important consequences for O3 air quality and ecosystem degradation at the US NPs. Our study illustrates the need to consider the effects of changes in climate, vegetation, and fires in future air quality management and planning and emission policy making.

scholarly journals How emissions, climate, and land use change will impact mid-century air quality over the United States: a focus on effects at national parks

2015 ◽  
Vol 15 (5) ◽  
pp. 2805-2823 ◽  
Author(s):  
M. Val Martin ◽  
C. L. Heald ◽  
J.-F. Lamarque ◽  
S. Tilmes ◽  
L. K. Emmons ◽  
...  
Keyword(s):  
United States ◽  
Land Use ◽  
Air Quality ◽  
National Parks ◽  
Land Use Changes ◽  
The United States ◽  
Western Us ◽  
The Us ◽  
Emission Controls ◽  
Surface O3

Abstract. We use a global coupled chemistry–climate–land model (CESM) to assess the integrated effect of climate, emissions and land use changes on annual surface O3 and PM2.5 in the United States with a focus on national parks (NPs) and wilderness areas, using the RCP4.5 and RCP8.5 projections. We show that, when stringent domestic emission controls are applied, air quality is predicted to improve across the US, except surface O3 over the western and central US under RCP8.5 conditions, where rising background ozone counteracts domestic emission reductions. Under the RCP4.5 scenario, surface O3 is substantially reduced (about 5 ppb), with daily maximum 8 h averages below the primary US Environmental Protection Agency (EPA) National Ambient Air Quality Standards (NAAQS) of 75 ppb (and even 65 ppb) in all the NPs. PM2.5 is significantly reduced in both scenarios (4 μg m−3; ~50%), with levels below the annual US EPA NAAQS of 12 μg m−3 across all the NPs; visibility is also improved (10–15 dv; >75 km in visibility range), although some western US parks with Class I status (40–74 % of total sites in the US) are still above the 2050 planned target level to reach the goal of natural visibility conditions by 2064. We estimate that climate-driven increases in fire activity may dominate summertime PM2.5 over the western US, potentially offsetting the large PM2.5 reductions from domestic emission controls, and keeping visibility at present-day levels in many parks. Our study indicates that anthropogenic emission patterns will be important for air quality in 2050. However, climate and land use changes alone may lead to a substantial increase in surface O3 (2–3 ppb) with important consequences for O3 air quality and ecosystem degradation at the US NPs. Our study illustrates the need to consider the effects of changes in climate, vegetation, and fires in future air quality management and planning and emission policy making.

scholarly journals Exploring agent-level calculations of risk and returns in relation to observed land-use changes in the US Great Plains, 1870–1940

2014 ◽  
Vol 15 (2) ◽  
pp. 301-315 ◽  
Author(s):  
Kenneth M. Sylvester ◽  
Daniel G. Brown ◽  
Susan H. Leonard ◽  
Emily Merchant ◽  
Meghan Hutchins
Keyword(s):  
Land Use ◽  
Great Plains ◽  
Land Use Changes ◽  
The Us ◽  
Us Great Plains

scholarly journals Effects of Land Use Changes on Streamflow and Sediment Yield in Atibaia River Basin—SP, Brazil

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1711 ◽  
Author(s):  
Franciane Mendonça dos Santos ◽  
Rodrigo Proença de Oliveira ◽  
José Augusto Di Lollo
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
River Basin ◽  
Sediment Yield ◽  
Assessment Tool ◽  
Land Use Changes ◽  
Curve Number ◽  
Moisture Condition ◽  
Land Use Scenario ◽  
Effects Of Land Use

The Soil and Water Assessment Tool (SWAT) is often used to evaluate the impacts of different land use scenarios on streamflow and sediment yield, but there is a need for some clear recommendations on how to select the parameter set that defines a given land use scenario and on what is the most appropriate methodology to change the selected parameters when describing possible future conditions. This paper reviews the SWAT formulation to identify the parameters that depend on the land use, performs a sensitivity analysis to determine the ones with larger impacts on the model results and discusses ways to consider future land use conditions. The case study is the Atibaia river basin, with 2838 km2 (São Paulo, Brazil). The parameters identified by sensitivity analysis with the largest impacts on streamflow and sediment yield were the initial curve number for moisture condition II (CN), maximum canopy storage for each land use (CANMX) and the cover and management factor (USLE_C). The identification and appropriate parameter change can provide real estimates of the magnitudes in the land use changes, which were verified in this study. Such information can be used as an instrument for proposing improvements in the basin’s environmental quality and management.

scholarly journals MODELLING THE EFFECTS OF LAND-USE CHANGES ON CLIMATE: A CASE STUDY ON YAMULA DAM

2016 ◽  
Vol XLII-2/W1 ◽  
pp. 147-149
Author(s):  
Ü. Köylü ◽  
A. Geymen
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Statistical Analysis ◽  
Land Use Changes ◽  
Curve Number ◽  
Temporal Analysis ◽  
Research Area ◽  
Local Climate ◽  
Spatiotemporal Trends ◽  
Kızılırmak Basin

Dams block flow of rivers and cause artificial water reservoirs which affect the climate and the land use characteristics of the river basin. In this research, the effect of the huge water body obtained by Yamula Dam in Kızılırmak Basin is analysed over surrounding spatial’s land use and climate change. Mann Kendal non-parametrical statistical test, Theil&Sen Slope method, Inverse Distance Weighting (IDW), Soil Conservation Service-Curve Number (SCS-CN) methods are integrated for spatial and temporal analysis of the research area. For this research humidity, temperature, wind speed, precipitation observations which are collected in 16 weather stations nearby Kızılırmak Basin are analyzed. After that these statistical information is combined by GIS data over years. An application is developed for GIS analysis in Python Programming Language and integrated with ArcGIS software. Statistical analysis calculated in the R Project for Statistical Computing and integrated with developed application. According to the statistical analysis of extracted time series of meteorological parameters, statistical significant spatiotemporal trends are observed for climate change and land use characteristics. In this study, we indicated the effect of big dams in local climate on semi-arid Yamula Dam.

scholarly journals Analysis of Runoff Curve Number Distribution into Surface Runoff of Lesti Watershed

2021 ◽  
Vol 004 (01) ◽  
pp. 062-075
Author(s):  
Didit Priambodo ◽  
Ery Suhartanto ◽  
Sumiadi Sumiadi
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Soil Conservation ◽  
Land Use Changes ◽  
Curve Number ◽  
Soil Conservation Service ◽  
Residential Areas ◽  
Conservation Treatment ◽  
Number Distribution ◽  
Sediment Loads

Lesti watershed is a sub basin of Brantas River located in Malang Regency, which is the main source of inflow and sediment loads for the Sengguruh Dam. Human activities change the type of land cover by deforestation for the expansion of agricultural and residential areas. It makes a rapid increasing of runoff and discharges that were potentially carrying sediment into Lesti River. To measure surface runoff in a watershed can be held by modeling rather than directly in the field, it is cheaper and more effective with accurate results. This study is based on Soil Conservation Service (SCS) formula to illustrate surface runoff level by knowing curve number distribution. Using models based on land use changes in 2010, 2012 and 2017, generated by AV SWAT software, shows that increasing CN value each year affects the surface runoff, so there is a relationship between land use and runoff. The average CN value in 2010 is 63.644, 2012 is 63.942, 2017 is 65.49, while the average surface runoff in 2010 is 800.28, 2012 is 823.26, 2017 is 828.009. Conservation treatment on the area with a high CN value can reduce the surface runoff. It shows that watershed performance is getting better

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