scholarly journals ANALISIS STATUS DAYA DUKUNG AIR DI SUB DAS CIKERUH MENGGUNAKAN METODE SOIL CONSERVATION CURVE NUMBER (SCS-CN)

2021 ◽  
pp. 98-105
Author(s):  
Kania Gita Pramadita ◽  
Edy Suryadi ◽  
Dwi Rustam Kendarto
Keyword(s):  
Soil Conservation ◽  
Curve Number ◽  
Soil Conservation Service ◽  
Service Curve ◽  
Scs Cn

Sub DAS Cikeruh merupakan kawasan dengan laju pertumbuhan penduduk yang tinggi, yang mana hal tersebut mengakibatkan alih fungsi lahan terjadi di beberapa kecamatan sehingga berimplikasi terhadap menurunnya ketersediaan air dan meningkatnya kebutuhan air di Sub DAS Cikeruh. Penelitian ini bertujuan untuk mengetahui status daya dukung air di Sub DAS Cikeruh melalui perbandingan rasio antara kebutuhan dan ketersediaan air. Kebutuhan air dihitung dengan menggunakan standar yang ditentukan oleh SNI 19-66728.1, 2002; SNI 67281-2015; dan Ditjen Cipta Karya Dinas PU tahun 1996, adapun sektor yang dihitung adalah domestik, non domestik, industri, pertanian, peternakan, dan perikanan. Ketersediaan air dihitung dengan mengestimasi volume aliran yang terjadi di Sub DAS Cikeruh menggunakan metode Soil Conservation Service Curve Number (SCS-CN) dari USDA dengan melibatkan data hidrologi dari tahun 2011 hingga 2020. Hasil penelitian menunjukkan bahwa ketersediaan air di Sub DAS Cikeruh pada tahun 2020 adalah sebesar 351.852.088,9 m3/tahun, sedangkan kebutuhan air di Sub DAS Cikeruh mengalami perubahan yang dinamis setiap tahunnya. Kebutuhan air di Sub DAS Cikeruh pada tahun 2011 adalah sebesar 545.250.212 m3/tahun, tahun 2015 sebesar 711.121.596 m3/tahun, sedangkan tahun 2020 sebesar 520.638.257 m3/tahun. Hasil perhitungan menunjukkan bahwa terjadi defisit air di Sub DAS Cikeruh, dimana nilai kebutuhan air lebih tinggi dibandingkan ketersediaan air, adapun rasionya sebesar 0,641, yang artinya daya dukung lingkungan telah terlampaui (overshoot) karena nilai rasio < 1.

scholarly journals Pemodelan Tutupan Lahan Untuk Menjamin Keberlanjutan Debit Sungai (Suatu Studi Di Sub DAS Cikapundung-Maribaya)

2021 ◽  
Vol 6 (2) ◽  
pp. 121-139
Author(s):  
Aditya Dwifebri Christian Wibowo ◽  
Mahawan Karuniasa ◽  
Dwita Sutjiningsih
Keyword(s):  
Land Use ◽  
River Water ◽  
Water Scarcity ◽  
Soil Conservation ◽  
Curve Number ◽  
Soil Conservation Service ◽  
Land Conversion ◽  
Forest Land ◽  
Service Curve ◽  
Scs Cn

Changes in land use in the Cikapundung watershed, ie changes in forest land to built-up land, have an impact on the quantity of river water. Changes in land use in the Cikapundung River catchment are not ideal conditions for absorbing water. If land conversion is not controlled, it can have a large impact on reducing the availability of water resources for subordinate areas or what is called water scarcity. Analysis that takes into account land use and discharge can be done with several hydrological analysis methods, one of them is the Soil Conservation Service Curve Number (SCS-CN) method. Based on the calculation, the CN value was changed in 2014 from 57.275 to 62.591 where land cover changes began to occur.   Keywords: land use, river water, water scarcity, hydrology, CN value

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.

An updated hydrological review on recent advancements in soil conservation service-curve number technique

2010 ◽  
Vol 1 (2) ◽  
pp. 118-134 ◽  
Author(s):  
P. K. Singh ◽  
M. L. Gaur ◽  
S. K. Mishra ◽  
S. S. Rawat
Keyword(s):  
Soil Conservation ◽  
Curve Number ◽  
Estimation Methods ◽  
Soil Conservation Service ◽  
Hydrologic Models ◽  
Relative Significance ◽  
Storm Rainfall ◽  
Service Curve ◽  
Hydrology And Water Resources ◽  
Scs Cn

Although many hydrologic models are available for the estimation of direct runoff from storm rainfall, most models are limited because of their intensive input data and calibration requirements. The Soil Conservation Service-Curve Number (SCS-CN) technique has been applied successfully throughout the entire spectrum of hydrology and water resources, even though originally it was not intended to deal with and solve certain issues such as erosion and sedimentation and environmental engineering. This manuscript includes an updated review of this popular technique with its critical performance analysis under various hydrological applications. The study highlights its provenance and its conceptual and empirical foundations followed by relative significance of the parameter CN and various estimation methods and issues related to the Ia and S relationship. Finally, notable recent advancements available in the literature are discussed for their structural strengths and applicability in real world problems.

scholarly journals Soil Conservation Service Curve Number (SCS-CN) Method: Current Applications, Remaining Challenges, and Future Perspectives

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 192
Author(s):  
Konstantinos X. Soulis
Keyword(s):  
Soil Conservation ◽  
Curve Number ◽  
Soil Conservation Service ◽  
Future Perspectives ◽  
Service Curve ◽  
Scs Cn

Predicting runoff in ungauged or poorly gauged watersheds is one of the key problems in applied hydrology [...]

scholarly journals A Historical Review of Slope Based SCS Method and its Effect on CN and Runoff Potential Globally

2020 ◽  
Author(s):  
Tauseef Ahmad Ansari ◽  
Yashwant B Katpatal ◽  
C Rishma
Keyword(s):  
Soil Conservation ◽  
Historical Review ◽  
Curve Number ◽  
Soil Conservation Service ◽  
Moisture Condition ◽  
Antecedent Moisture ◽  
Runoff Potential ◽  
Service Curve ◽  
Scs Cn ◽  
Large Catchment

The Soil Conservation Service - Curve Number (SCS-CN) method is extensively used to calculate the runoff from rainfall over a large catchment over the world. Slope is an important criterion for runoff but a very few attempts have been made to evaluate the effect of slope on the CN with runoff potential. The objective of this paper is to summarise the historical review on the effects of slope on CN and runoff potential in various regions by the hydrologists. This paper also depicts that how the various researchers proved the importance of consideration of slope for CN and runoff estimation. In addition, paper highlights the key features of research in future like to classify the watersheds on slope based CN, accurate Antecedent Moisture Condition (AMC) and proper initial abstraction in the various regions etc. Considering these parameters an accurate runoff estimation can be predicted and managed properly in the urban watersheds.

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