scholarly journals Land use change due to road construction

2021 ◽  
Vol 920 (1) ◽  
pp. 012003
Author(s):  
P L Hadi ◽  
T Wasanta ◽  
W Santosa

Abstract Roads is one of the main infrastructures to support the realization of economic development. The economic development resulting economic activity and the emergence of new industrial and activity centers, and then will stimulate population movement and growth. The increase of the population number and movement will encourage changes in land use. This study conducted to analyze the effect of road construction on the rate of land use change. Land use change caused by the construction of this road was identified by analyzing land use change with the help of a geographic information system. Satellite imageries are processed into maps based on geographic information systems to classify land use gradually over years. The results of this classification are then used for land use change analysis. The analysis carried out shows that there is a change in land use rate growth for building classification before and after road construction. Land use for growth for building classification is developed faster when a new road is built than before a road is built. In the area around the Salatiga and Ambarawa Ring Roads, the increase in the proportion of built-in land use is the conversion of forest land use and open land. Meanwhile, in the area around the Manado Ring Road, the increase in the proportion of built-in land use is the conversion of forest land use.

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.


2009 ◽  
Vol 30 (6) ◽  
pp. 845-849
Author(s):  
E.O. Santos ◽  
C. Silva ◽  
M.A. Santos ◽  
B. Matvienko ◽  
C.H.E.D.A. Rocha ◽  
...  

2021 ◽  
Author(s):  
Morteza Akbari ◽  
Ehsan Neamatollahi ◽  
Hadi Memarian ◽  
Mohammad Alizadeh Noughani

Abstract Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran’s Lorestan province before and after a period of major floods in late 2018 and early 2019. Furthermore, soil erosion was calculated for current and future conditions based on the Global Soil Erosion Modeling Database (GloSEM). The results showed that agricultural development and land use change are the main causes of land degradation in the southern and central parts of the study area. The impact of floods was also significant since our evaluations showed that soil erosion increased from 4.12 t ha-1 yr-1 before the floods to 10.93 t ha-1 yr-1 afterwards. Field surveying using 64 ground control points determined that erodibility varies from 0.17 to 0.49% in the study area. Orchards, farms, rangelands and forests with moderate or low vegetation cover were the most vulnerable land uses to soil erosion. The GloSEM modeling results revealed that climate change is the main cause of change in the rate of soil erosion. Combined land use change-climate change simulation showed that soil erosion will increase considerably in the future under SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. In the study area, both natural factors, i.e. climate change and human factors such as agricultural development, population growth, and overgrazing are the main drivers of soil erosion.


2014 ◽  
Vol 933 ◽  
pp. 1014-1018
Author(s):  
Chun Zhe Xia ◽  
Xiao Shen Zheng ◽  
Meng Yin Zhao

Based on the TM remote sensing images in autumn 1992, 2001 and 2009, the land use change of Binhai New Area is analyzed through the ENVI software. During remote sensing images processed, Binhai New Area is collected according to the administrative zoning maps. The results of land use change are vegetation cover and water changing little, which show the ecological environment remained stable in overall Binhai New Area. At that time, the area of unused land and salt works area is reduced, and the area of land reclamation and construction sites is increased, which indicates the rapid economic development of Binhai new area in past 20 years.


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