Rainfall-runoff estimation of Bojiang lake watershed using SCS-CN model coupled with GIS for watershed management

Matomela, Nametso; Li, Tianxin; Morahanye, Lehlohonolo; Bishoge, Obadia Kyetuza; Ikhumhen, Harrison Odion

doi:10.21839/jaar.2019.v4i1.263

Cited by 20 publications

(6 citation statements)

References 11 publications

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“…As a result, in order to achieve sustainable development, the method can be used as an integrated aspect of land and water resources. [36] R Viji et al ( 2015) It reveals statically positive correlations and perfect fit between the study's results coefficient determination (SCS-CN = 0.958 and Green-Ampt = 0.97) and t(SCS-CN = 0.979 and Green-Ampt = 0.985). When compared to the Green-Ampt loss approach, the improved SCS-CN yields reduced run-off estimation.…”

Section: Scs-cn Methods (Soil Conservation Service Curve Number)mentioning

confidence: 97%

“…Nametso Matomela et al (2019) The correlation coefficient (r 2 ) was used to assess the relationship between rainfall and run-off, and the results revealed a positive relationship between the two variables. The SCS-CN approach has proven to be efficient and cost-effective, and it may be used to map out sites for artificial water recharge or abstraction across wide areas.…”

Section: Scs-cn Methods (Soil Conservation Service Curve Number)mentioning

confidence: 99%

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2022

TTREGS

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The term "infiltration" refers to the process of water moving in all directions into the soil. The maximum rate at which water is absorbed into the soil at any given time is known as the infiltration rate. The rate of infiltration is measured in centimetres per hour (cm/hr) or millimetres per hour (mm/hr). Before the building can be built, the soil must be stabilized if it has a low infiltration capacity. The lifespan of a building is reduced if water remains stagnant at ground level. As a result, determining the rate of infiltration is critical. This paper makes an attempt to look into infiltrometers and models that are best for determining infiltration rate. The Kostiakov model, Horton model, Philips model, Green-Ampt model, Regression model, M5P model, Modified Kostiakov model, and Branched Modified Kostiakov model were all used by the significant proportion of the authors. The results show that the Kostiakov and Horton models were both effective in estimating the infiltration rate.

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Section: Scs-cn Methods (Soil Conservation Service Curve Number)mentioning

confidence: 97%

Section: Scs-cn Methods (Soil Conservation Service Curve Number)mentioning

confidence: 99%

Untitled

2022

TTREGS

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“…After determining the CN-II values for various land uses and their corresponding HSGs, WCN were calculated for each sub-watershed area (Equation ( 3)). This calculation involved multiplying each CN value by its associated area and dividing the result by the overall sub-watershed area, as indicated by the formula based on [33]:…”

Section: Weighted Curve Numbermentioning

confidence: 99%

Cost-Benefit Analysis of Minor Irrigation Tank Rehabilitation Using Run-Off and Storage Capacity: A Case Study from Ambuliyar Sub-Basin, Tamil Nadu, India

Nagoor Pitchai,

Magalingam,

Rajasekaran

et al. 2024

GeoHazards

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This research examines the significance of restoring efficient water management systems in India’s semiarid environment, with special emphasis on the role of traditional irrigation structures, such as tanks, in collecting and storing limited water resources. Assessing the benefits of any restoration program, especially when socioeconomic and environmental benefits are involved, is challenging. In the context of tank rehabilitation, a cost-benefit analysis will be conducted regarding economic and ecological returns in the post-desiltation phase. Since the restoration process requires a significant investment, assessing the project’s viability during the planning stage is better. The present study proposes a novel method to indirectly analyse the cost-benefit of the tank restoration process by correlating run-off and storage capacity of tanks before the planning phase. The Ambuliyar sub-basin, which covers an area of 930 square kilometres in Tamil Nadu, India, comprising 181 tanks (water bodies) of varying sizes and shapes, was taken for this study. This study employed the Soil Conservation Service Curve Number (SCS-CN) method, incorporating factors such as soil type, land cover, land use practices, and advanced remote sensing and Geographic Information System (GIS) tools to simulate surface run-off. Run-off volume and tank capacity were compared for all seasons at the micro-watershed level. The results demonstrated that the run-off volume in each micro-watershed significantly exceeded the tank capacity across all seasons. Even during the summer, the run-off volumes in the micro-watershed were considerably higher than the tank capacity. The findings suggest tank restoration can effectively store run-off and significantly fulfil agricultural and other essential needs throughout the year, thereby improving the local rural economy. This study also highlights the need for periodic maintenance and rehabilitation of these tank systems to retain their functionality.

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“…The conversion of LULC usually has an unintended consequence on the natural environment (Regmi et al 2017;Jaiswal & Amin 2020), especially in the form of enhanced runoff and soil erosion (Guzhaet et al 2018;Ma et al 2018;Messele & Moti 2019). Several studies conducted to envisage the role of LULC pattern on hydrological processes since the mid of the last century (Dwarakish & Ganasri 2015;Zhang et al 2016) and many empirical and mathematical models developed for estimating hydrological processes, especially the surface runoff (Hjelmfelt 1991;Mishra & Singh 2003;Uwizeyimana et al 2018;Matomela et al 2019). This study focuses on the effects of LULC change in the surface runoff scenario of the Panchnoi river basin.…”

Section: Introductionmentioning

confidence: 99%

Impact of land-use land cover dynamics on runoff in Panchnoi River basin, North East India

Jaiswal

Amin

2021

GeoScape

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Alteration of land-use land cover pattern causes severe consequences on the hydrological system by modifying the rainfall-runoff pattern in a region. The study aimed to investigate the impact of land-use land-cover dynamics on runoff generation in different geomorphic divisions of Panchnoi River basin. The study used the Soil Conservation Service-Curve Number method to estimate runoff generation in the Panchnoi River basin in a GIS platform. This study observed that the conversion of the land-use pattern in the geomorphic zones significantly enhances runoff. The Piedmont experience highest land-use change, where 64.17 km2 forest cover lost to cropland and built-up lands, leads to a notable increase in runoff generation, i.e. from 1 076 mm (52.82% of rainfall) in 1990 to 1 467 mm (70.46% of rainfall) in 2015. The Flood plain and New alluvial plain generates high runoff in the basin as it mostly occupied by human-induced land-uses, i.e. 1 444 mm (72.72% of rainfall) and 1 360 mm (71.70% of rainfall) respectively in 1990, which increase to 1588 mm (79.20%) and 1507 mm (78.69%) runoff respectively in 2015, due to alteration of cropland to built-up lands. In the Old alluvial plain, a marginal land-use change observed resulted in moderate growth in runoff from 1 272 mm (62.35%) to 1 404 mm (66.79%). The study indicates land-use land-cover change invokes to increase runoff generation can give rise severe environmental and economic problems in the river basin, through the occurrence of flashflood and soil erosion. Highlights for public administration, management and planning: • Evaluation of the impact of land-use land cover dynamics on runoff is essential for containing flash flood and water resource management on a basin scale. • Alteration of natural land covers has severe implications in the form of flood, soil erosion, and loss of biodiversity. • Enhanced runoff due to land-use dynamics reduces groundwater recharge rate that may cause drinking water scarcity in the dry season shortly.

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Rainfall-runoff estimation of Bojiang lake watershed using SCS-CN model coupled with GIS for watershed management

Cited by 20 publications

References 11 publications

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Cost-Benefit Analysis of Minor Irrigation Tank Rehabilitation Using Run-Off and Storage Capacity: A Case Study from Ambuliyar Sub-Basin, Tamil Nadu, India

Impact of land-use land cover dynamics on runoff in Panchnoi River basin, North East India

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