Assessing the Coverage of Urban Green Space in Butwal Sub-Metropolitan City, Nepal: A GIS based Approach

Thapa, Mahendra Singh; Poudel, Gokul

doi:10.3126/forestry.v15i0.24923

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…Similar trends have been reported by Kc et al(2021) and Mandal (2014) in their study in case of agricultural land and settlement areas. The research work by Thapa and Poudel(2018) confirms the findings on vegetation. However, no prior studies have been conducted with regards to estimation of the floodplain change in the region.…”

Section: Discussionsupporting

confidence: 82%

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Temporal Floodplain Change Assessment Using GIS: A Case of Tinau River, Butwal

Adhikari

2023

Int. J. Environ.

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The understanding of historical floodplain change plays a pivotal role in the minimization of flood risk to communities. Though many research works in Nepal have attempted to study the Land Use Land Cover (LULC) change in different parts of the country, they have not dealt with identification of the floodplain and its change pattern over the period of the time. This study is aimed at understanding the historical change in floodplain of Tinau River in Butwal city which has repeatedly witnessed devastating flooding events. For the purpose, historical Landsat images for the year 1988, 1999, 2009 and 2020 were acquired from earth explorer site of USGS. The supervised classification was performed in QGIS by classifying into vegetation, agricultural land, water bodies, floodplain and settlement. The result shows that there is significant decrease in the area of the floodplain. In the span of around 32 years, its area has decreased by around 229 hectares. The major regions of floodplain encroachment are found to be Buddhanagar, Majuwa and Sundarnagar. Moreover, significant increase in the area of settlement and decrease in agricultural land was observed. The result could be helpful for the policy makers to formulate strategies to prevent floodplain encroachment and cope with flood risk. Likewise, it can be baseline for further studies which delve into the details of change analysis of floodplain.

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Section: Discussionsupporting

confidence: 82%

“…The climate is warm and temperate. The annual rainfall in the town is 2085 mm whereas the average annual temperature is 22.0 °C (Thapa and Poudel, 2018).…”

Section: Study Areamentioning

confidence: 99%

Temporal Floodplain Change Assessment Using GIS: A Case of Tinau River, Butwal

Adhikari

2023

Int. J. Environ.

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“…This city stands beside the bank of the Tinau River at the northern edge of the Terai plain below the Siwalik Hills. The elevation of the city ranges from around 100 m in the south-western lowland to 1,229 m in the northern hills (Thapa and Poudel, 2018). The climate of this region is tropical type.…”

Section: Study Areamentioning

confidence: 99%

“…Butwal Sub-Metropolitan City lies in Rupandehi District of Lumbini Province at the central lowland of Nepal. It lies between 83.36° to 83.50°E and 27.61° to 27.74°N (Figure 1) and covers an area of 101.61 square km (Thapa and Poudel, 2018). This city stands beside the bank of the Tinau River at the northern edge of the Terai plain below the Siwalik Hills.…”

Section: Study Areamentioning

confidence: 99%

“…Major precipitation takes place during the monsoon that usually begins in June. About 65% of the surface area of Butwal Metropolitan City is covered by the forest (Thapa and Poudel, 2018). Dominant vegetation in urban and suburban areas of Butwal City include Ficus religiosa, Ficus benghalensis, Azadirachta indica, Bombax ceiba, Aegle marmelos, Dalbergia sissoo, Garuga pinnata, Saraca asoca, Neolamarckia cadamba, Eucalyptus camaldulensis, Melia azedarach, Ficus benjamina, Premna barbata, Tamarindus indica, Ficus racemose, Morus alba, etc.…”

Section: Study Areamentioning

confidence: 99%

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Urbanization Favors Some Over Others: Bird Diversity Pattern in the Suburban-Urban Gradient of Butwal City, Central Lowland of Nepal

Aryal¹,

Pandey²,

Khanal³

2021

PUJZ

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Urbanization ranks as the most common factor causing species endangerment and extinction second to interactions with invasive species (Czech et al., 2000). However, the impact of urbanization is not the same to all the taxa as it favors abundance of some urban exploiter species but reduces the richness and diversity (Marzluff, 2001).Birds serve as good ecological indicators showing sensitiveness to environmental degradation (Clergeau et al., 2001;Lin et al., 2008). Habitat degradation is a detrimental consequence of urbanization affecting bird communities (McKinney, 2006). Bird community structure and composition changes with urbanization gradients as species richness decreases with urbanization, while

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Modeling and Mapping of Aboveground Biomass and Carbon Stock Using Sentinel-2 Imagery in Chure Region, Nepal

Poudel

Shrestha

Mahat

et al. 2023

International Journal of Forestry Research

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The concerns about climate change in recent decades have heightened the need for effective methods for assessing and reporting forest biomass and Carbon Stocks (CS) at local, national, continental, and global scales. Accurate assessment of Aboveground Biomass (AGB) is critical for the sustainable management of forests, especially in the Chure region, a fragile and young mountainous in the lesser Himalaya of Nepal. This paper presents the modeling and mapping approach and shows how medium-resolution Sentinel-2 multispectral instrument (MSI) data can be used instead of hyperspectral data in inaccessible areas of the Chure region. The data were collected and analyzed from 72 circular sample plots. 60% (43 random sample plots) were used to create the model, while the remaining 40% (29 plots) were used for model validation. This study involved calculating 12 different vegetation indices and correlating them with plot-level AGB. Five models, including linear, logarithmic, quadratic, power, and exponential, were created, but the best model was found to be the quadratic model using normalized difference vegetation indices (NDVIs) with an R2 value of 0.777 and a correlation coefficient of 0.881. The model’s AIC and BIC values were 313.60 and 320.65, respectively. The validity of the model was performed using observed and predicted AGB values, resulting in an r value of 0.9128, an R2 value of 0.8332, and an RMSE value of 10.7657 t·h−1. Finally, the developed regression equation was used to map AGB in the study area. The AGB per pixel ranges from 0 to 129.18 t·h−1, whereas the amount of CS ranges from 0 to 61.01 t·h−1. Among the different vegetation indices used in the study, NDVI was found to be more precise in estimating and mapping biomass and carbon stocks in this study. Therefore, the study recommends using the quadratic model of NDVI for accurate estimation of AGB and CS in the Chure region of Sainamaina municipality.

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Assessing the Coverage of Urban Green Space in Butwal Sub-Metropolitan City, Nepal: A GIS based Approach

Cited by 5 publications

References 5 publications

Temporal Floodplain Change Assessment Using GIS: A Case of Tinau River, Butwal

Temporal Floodplain Change Assessment Using GIS: A Case of Tinau River, Butwal

Urbanization Favors Some Over Others: Bird Diversity Pattern in the Suburban-Urban Gradient of Butwal City, Central Lowland of Nepal

Modeling and Mapping of Aboveground Biomass and Carbon Stock Using Sentinel-2 Imagery in Chure Region, Nepal

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