Debit Puncak Harian Tahunan Metode HSS Nakayasu dan Debit Terukur di DAS Muke Kabupaten TTSS SERVICES-CURVE NUMBER DAN DEBIT TERUKUR DI DAERAH ALIRAN SUNGAI MUKE  KABUPATEN TIMOR TENGAH SELATAN

The Muke River is prone to flooding. flooding is caused by conversion in land use due to the migrating plantation system. In the Muke river, it is necessary to analyze the discharge estimation to determine the potential of water in the Muke river. In this study, the authors performed peak discharge calculation using measured calculation model and calculate. Measured calculations using discharge’s curve and calculated by using hydrographic method of synthetic unit namely Nakayasu. The results of the analysis for the calculation of discharge on the Muke river using the discharge curve obtained that the peak discharge occurred in 2012 with Qmax = 99.41 m3/s and the smallest discharge occurred in 2010 with Qmin = 13.19 m3/s, the results of the analysis for the calculation of discharge on the Muke river using the Nakayasu method obtained peak discharge occurred in 2010 with Qmax= 184.74 m3/s and the smallest discharge occurred in 2014 with Qmin = 94.33 m3/s.

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Linking economic and social factors to peak flows in an agricultural watershed using socio-hydrologic modeling

10.5194/hess-2019-484 ◽

2019 ◽

Author(s):

David Dziubanski ◽

Kristie J. Franz ◽

William Gutowski

Keyword(s):

Land Use ◽

Hydrologic Modeling ◽

Crop Yields ◽

Curve Number ◽

Hydrologic Model ◽

Agricultural Watershed ◽

Peak Discharge ◽

Land Use Decisions ◽

Corn Prices ◽

System Variables

Abstract. Hydrologic modeling studies most often represent humans through predefined actions and fail to account for human responses under changing hydrologic conditions. By treating both human and hydrologic systems as co-evolving, we build a socio-hydrological model that combines an agent-based model (ABM) with a semi-distributed hydrologic model. The curve number method is used to clearly illustrate the impacts of landcover changes resulting from decisions made by two different agent types. Aiming to reduce flooding, a city agent pays farmer agents to convert land into conservation. Farmer agents decide how to allocate land between conservation and production based on factors related to profits, past land use, and willingness. The model is implemented for a watershed representative of the mixed agricultural/small urban area land use found in Iowa, USA. In this preliminary study, we simulate scenarios of crop yields, crop prices, and conservation subsidies along with varied farmer parameters that illustrate the effects of human system variables on peak discharges. High corn prices lead to a decrease in conservation land from historical levels; consequently, mean peak discharge increases by 6 %, creating greater potential for downstream flooding within the watershed. However, when corn prices are low and the watershed is characterized by a conservation-minded farmer population, mean peak discharge is reduced by 3 %. Overall, changes in mean peak discharge, which is representative of farmer land use decisions, are most sensitive to changes in crop prices as opposed to yields or conservation subsidies.

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Use of NRCS-curve number method for peak discharge estimation in Sharqu ElNeil locality, Khartoum, Sudan

Arabian Journal of Geosciences ◽

10.1007/s12517-019-4685-5 ◽

2019 ◽

Vol 12 (17) ◽

Author(s):

Insaf S. Babiker ◽

Mohamed Abugaib A. Mohamed

Keyword(s):

Curve Number ◽

Peak Discharge ◽

Curve Number Method ◽

Discharge Estimation

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Linking economic and social factors to peak flows in an agricultural watershed using socio-hydrologic modeling

Hydrology and Earth System Sciences ◽

10.5194/hess-24-2873-2020 ◽

2020 ◽

Vol 24 (6) ◽

pp. 2873-2894 ◽

Cited By ~ 1

Author(s):

David Dziubanski ◽

Kristie J. Franz ◽

William Gutowski

Keyword(s):

Land Use ◽

Hydrologic Modeling ◽

Crop Yields ◽

Curve Number ◽

Hydrologic Model ◽

Agricultural Watershed ◽

Peak Discharge ◽

Land Use Decisions ◽

Corn Prices ◽

System Variables

Abstract. Hydrologic modeling studies most often represent humans through predefined actions and fail to account for human responses under changing hydrologic conditions. By treating both human and hydrologic systems as co-evolving, we build a socio-hydrological model that combines an agent-based model (ABM) with a semi-distributed hydrologic model. The curve number method is used to clearly illustrate the impacts of land cover changes resulting from decisions made by two different agent types. Aiming to reduce flooding, a city agent pays farmer agents to convert land into conservation. Farmer agents decide how to allocate land between conservation and production based on factors related to profits, past land use, and willingness. The model is implemented for a watershed representative of the mixed agricultural/small urban area land use found in Iowa, USA. In this preliminary study, we simulate scenarios of crop yields, crop prices, and conservation subsidies along with varied farmer parameters that illustrate the effects of human system variables on peak discharges. High corn prices lead to a decrease in conservation land from historical levels; consequently, mean peak discharge increases by 6 %, creating greater potential for downstream flooding within the watershed. However, when corn prices are low and the watershed is characterized by a conservation-minded farmer population, mean peak discharge is reduced by 3 %. Overall, changes in mean peak discharge, which is representative of farmer land use decisions, are most sensitive to changes in crop prices as opposed to yields or conservation subsidies.

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Investigation of Basin Characteristics: Implications for Sub-basins Level Flood Peak and Vulnerability Assessment

10.21203/rs.3.rs-588510/v1 ◽

2021 ◽

Author(s):

Rajeev Ranjan ◽

Pankaj R. Dhote ◽

Praveen K. Thakur ◽

Shiv P. Aggarwal

Keyword(s):

Land Use ◽

Hydrological Model ◽

Curve Number ◽

Peak Discharge ◽

Geographical Information ◽

Administrative District ◽

Flood Vulnerability ◽

Flood Peak ◽

Extreme Flood ◽

Gauging Station

Abstract Flood vulnerability is a significant component in assessing the probable degree of damage to various exposures in hazard conditions. In this study, a semi-distributed event-based hydrological model and indicator-based method were applied to evaluate the sub-basin level flood vulnerability using the Geographical Information System (GIS). The flood peak discharge of each sub-basin corresponding to the 2014 extreme flood of the Jhelum river was related with different sub-basins characteristics (terrain, hydrological, land use and soil) using a theoretical framework under an indicator-based method. The calibrated (2014) and validated (1992, 1997) hydrological model showed Nash-Sutcliffe Efficiency (NSE) of 0.98 and (0.99, 0.99) at relatively upstream gauging station Sangam against optimized Curve Number (CN) scaling factor of 0.98. The Anantnag and Kulgam districts, exhibiting multiple sub-basins contributing to the Sangam gauging station, are falling into a highly vulnerable category located in the Jhelum basin's southern part, Greater Himalayan Range. It was also revealed that sub-basins at the upstream of the Jhelum basin are more vulnerable compared to downstream area, where sub-basin W810 (Greater Himalayan), Anantnag district draining at Sangam gauging site is found as most vulnerable among the all other sub-basins. However, hydrological characteristics control the most vulnerable sub-basin peak discharge rather than other characteristics such as terrain, soil, or Land Use. Outcomes of the study will be helpful in prioritizing the flood mitigation planning not only with respect to the hydrological boundary (sub-basin level) but also with administrative district boundaries. The proposed method is generic and can be applied to any flood-prone river basin.

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Impacts of Land Use and Land Cover Changes on Peak Discharge and Flow Volume in Kakia and Esamburmbur Sub-Catchments of Narok Town, Kenya

Hydrology ◽

10.3390/hydrology8020082 ◽

2021 ◽

Vol 8 (2) ◽

pp. 82

Author(s):

Etienne Umukiza ◽

James M. Raude ◽

Simon M. Wandera ◽

Andrea Petroselli ◽

John M. Gathenya

Keyword(s):

Land Use ◽

Land Cover ◽

Curve Number ◽

Peak Discharge ◽

Land Use Land Cover ◽

Flow Volume ◽

Rainfall Runoff ◽

Rainfall Runoff Model ◽

Event Based ◽

Runoff Model

Due to population growth and an expanding economy, land use/land cover (LULC) change is continuously intensifying and its effects on floods in Kakia and Esamburmbur sub-catchments in Narok town, Kenya, are increasing. This study was carried out in order to evaluate the influence of LULC changes on peak discharge and flow volume in the aforementioned areas. The Event-Based Approach for Small and Ungauged Basins (EBA4SUB) rainfall–runoff model was used to evaluate the peak discharge and flow volume under different assumed scenarios of LULC that were projected starting from a diachronic analysis of satellite images of 1985 and 2019. EBA4SUB simulation demonstrated how the configuration and composition of LULC affect peak discharge and flow volume in the selected catchments. The results showed that the peak discharge and flow volume are affected by the variation of the Curve Number (CN) value that is dependent on the assumed LULC scenario. The evaluated peak discharge and flow volume for the assumed LULC scenarios can be used by local Municipal bodies to mitigate floods.

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

E3S Web of Conferences ◽

10.1051/e3sconf/202133108002 ◽

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.

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

Journal of Urban and Environmental Engineering ◽

10.4090/juee.2016.v10n2.233-241 ◽

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.

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ANN-SCS-based hybrid model in conjunction with GCM to evaluate the impact of climate change on the flow scenario of the River Subansiri

Journal of Water and Climate Change ◽

10.2166/wcc.2019.221 ◽

2019 ◽

Vol 11 (4) ◽

pp. 1150-1164

Author(s):

Swapnali Barman ◽

Rajib Kumar Bhattacharjya

Keyword(s):

Land Use ◽

Land Cover ◽

Hybrid Model ◽

Curve Number ◽

Future Trend ◽

Land Use Land Cover ◽

Ann Model ◽

Non Linear ◽

The Future ◽

The Impact

Abstract The River Subansiri, one of the largest tributaries of the Brahmaputra, makes a significant contribution towards the discharge at its confluence with the Brahmaputra. This study aims to investigate an appropriate model to predict the future flow scenario of the river Subansiri. Two models have been developed. The first model is an artificial neural network (ANN)-based rainfall-runoff model where rainfall has been considered as the input. The future rainfall of the basin is calculated using a multiple non-linear regression-based statistical downscaling technique. The proposed second model is a hybrid model developed using ANN and the Soil Conservation Service (SCS) curve number (CN) method. In this model, both rainfall and land use/land cover have been incorporated as the inputs. The ANN models were run using time series analysis and the method selected is the non-linear autoregressive model with exogenous inputs. Using Sen's slope values, the future trend of rainfall and runoff over the basin have been analyzed. The results showed that the hybrid model outperformed the simple ANN model. The ANN-SCS-based hybrid model has been run for different land use/land cover scenarios to study the future flow scenario of the River Subansiri.

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Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment

Water ◽

10.3390/w12020415 ◽

2020 ◽

Vol 12 (2) ◽

pp. 415 ◽

Cited By ~ 5

Author(s):

Adam Krajewski ◽

Anna E. Sikorska-Senoner ◽

Agnieszka Hejduk ◽

Leszek Hejduk

Keyword(s):

Land Use ◽

Curve Number ◽

Threshold Value ◽

Storm Events ◽

Direct Runoff ◽

Initial Abstraction ◽

Land Use Types ◽

Rainfall Depth ◽

Storm Rainfall ◽

Service Curve

The Curve Number method is one of the most commonly applied methods to describe the relationship between the direct runoff and storm rainfall depth. Due to its popularity and simplicity, it has been studied extensively. Less attention has been given to the dimensionless initial abstraction ratio, which is crucial for an accurate direct runoff estimation with the Curve Number. This ratio is most often assumed to be equal to 0.20, which was originally proposed by the method’s developers. In this work, storm events recorded in the years 2009–2017 in two small Polish catchments of different land use types (urban and agroforested) were analyzed for variability in the initial abstraction ratio across events, seasons, and land use type. Our results showed that: (i) estimated initial abstraction ratios varied between storm events and seasons, and were most often lower than the original value of 0.20; (ii) for large events, the initial abstraction ratio in the catchment approaches a constant value after the rainfall depth exceeds a certain threshold value. Thus, when using the Soil Conservation Service-Curve Number (SCS-CN) method, the initial abstraction ratio should be locally verified, and the conditions for the application of the suggested value of 0.20 should be established.

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