scholarly journals Spatio-temporal Effect of Urbanization on Surface Water Bodies: A Method of RS and GIS

2016 ◽  
Vol 10 (1) ◽  
pp. 489-499 ◽  
Author(s):  
Jianfeng Zhu ◽  
Qiuwen Zhang ◽  
Zhong Tong ◽  
Xiaofei Liu ◽  
Fei Yan
Keyword(s):  
Land Use ◽  
Surface Water ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Water Bodies ◽  
Surface Water Resources ◽  
Rs And Gis ◽  
Resource Managers ◽  
Surface Water Bodies ◽  
Spatio Temporal

This paper focuses on the spatio-temporal effects of urbanization on surface water resources in Wuhan, China. Specifically, the relationships between surface water bodies and their surrounding land use changes are discussed quantitatively by remote sensing (RS) and geographic information system (GIS). In this paper, surface water bodies and land use classifications in 1991 and 2005 are detected from Landsat TM/ETM+ images. On this basis, the area changes of water bodies and their transformations are extracted by overlap analysis. The result proves that most of the reduced surface water bodies had transformed into developed land in the urban districts. Finally, a comparative analysis indicates that the rate of increment of developed land in 100 m buffer (14%) is higher than in 1000 m buffer (8.8%). In other words, urban development is growing towards water bodies as urbanization. Therefore, the effects of urbanization on surface water bodies can be summarized as follows: (1) water bodies are likely to be occupied directly by developed land with urbanization; (2) the space of surface water is compressed due to urban expansion. This paper would provide a suggestion for urban planners and water resource managers.

Groundwater recharge in suburban areas of Hanoi, Vietnam: effect of decreasing surface-water bodies and land-use change

2017 ◽  
Vol 25 (3) ◽  
pp. 727-742 ◽  
Author(s):  
Keisuke Kuroda ◽  
Takeshi Hayashi ◽  
An Thuan Do ◽  
Vu Duc Canh ◽  
Tran Thi Viet Nga ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Water ◽  
Land Use Change ◽  
Groundwater Recharge ◽  
Water Bodies ◽  
Suburban Areas ◽  
Surface Water Bodies

scholarly journals Spatial characterization of long-term hydrological change in the Arkavathy watershed adjacent to Bangalore, India

2018 ◽  
Vol 22 (1) ◽  
pp. 595-610 ◽  
Author(s):  
Gopal Penny ◽  
Veena Srinivasan ◽  
Iryna Dronova ◽  
Sharachchandra Lele ◽  
Sally Thompson
Keyword(s):  
Land Use ◽  
Surface Water ◽  
Temporal Trends ◽  
Water Bodies ◽  
Irrigated Agriculture ◽  
Groundwater Depletion ◽  
Groundwater Abstraction ◽  
Hydrological Change ◽  
Surface Water Bodies

Abstract. The complexity and heterogeneity of human water use over large spatial areas and decadal timescales can impede the understanding of hydrological change, particularly in regions with sparse monitoring of the water cycle. In the Arkavathy watershed in southern India, surface water inflows to major reservoirs decreased over a 40-year period during which urbanization, groundwater depletion, modification of the river network, and changes in agricultural practices also occurred. These multiple, interacting drivers combined with limited hydrological monitoring make attribution of the causes of diminishing water resources in the watershed challenging and impede effective policy responses. To mitigate these challenges, we developed a novel, spatially distributed dataset to understand hydrological change by characterizing the residual trends in surface water extent that remain after controlling for precipitation variations and comparing the trends with historical land use maps to assess human drivers of change. Using an automated classification approach with subpixel unmixing, we classified water extent in nearly 1700 man-made lakes, or tanks, in Landsat images from 1973 to 2010. The classification results compared well with a reference dataset of water extent of tanks (R2 = 0.95). We modeled the water extent of 42 clusters of tanks in a multiple regression on simple hydrological covariates (including precipitation) and time. Inter-annual variability in precipitation accounted for 63 % of the predicted variability in water extent. However, precipitation did not exhibit statistically significant trends in any part of the watershed. After controlling for precipitation variability, we found statistically significant temporal trends in water extent, both positive and negative, in 13 of the clusters. Based on a water balance argument, we inferred that these trends likely reflect a non-stationary relationship between precipitation and watershed runoff. Independently of precipitation, water extent increased in a region downstream of Bangalore, likely due to increased urban effluents, and declined in the northern portion of the Arkavathy. Comparison of the drying trends with land use indicated that they were most strongly associated with irrigated agriculture, sourced almost exclusively by groundwater. This suggests that groundwater abstraction was a major driver of hydrological change in this watershed. Disaggregating the watershed-scale hydrological response via remote sensing of surface water bodies over multiple decades yielded a spatially resolved characterization of hydrological change in an otherwise poorly monitored watershed. This approach presents an opportunity to understand hydrological change in heavily managed watersheds where surface water bodies integrate upstream runoff and can be delineated using satellite imagery.

Identifying Most Influential Land Use Parameters Contributing Reduction of Surface Water Bodies in Rajshahi City, Bangladesh: A Remote Sensing Approach

2019 ◽  
Vol 2 (2) ◽  
pp. 87-95 ◽  
Author(s):  
Abdulla-Al Kafy ◽  
Muhaiminul Islam ◽  
Abdur Rouf Khan ◽  
Lamia Ferdous ◽  
Md. Mamun Hossain ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Water ◽  
Environmental Sustainability ◽  
Water Bodies ◽  
Landsat 8 ◽  
World Population ◽  
Land Use Land Cover ◽  
Rapid Urbanization ◽  
Surface Water Bodies ◽  
Rajshahi City

Surface water bodies are one of the irreplaceable natural resources for human survival, and it extensively reduces with increasing the world population. This study modeled the spatiotemporal changes of land use / land cover (LULC) and identified the most influential LULC parameters, which contributes in the reduction of surface water bodies using the Landsat 4 and 5 TM and Landsat 8 OLI images (1992-2017). Rajshahi City Corporation is situated in the Northern piece of Bangladesh. A maximum likelihood supervised images classification algorithm was used for detection of changes in LULC. Matrix union technique was used for identifying the prominent LULC parameters. About 14% of water bodies were filled up in twenty-five year (1992-2017) due to rapid urbanization in Rajshahi City Corporation area. This study can provide an essential move towards necessary actions for preservation of surface water bodies to maintain the ecological balance and environmental sustainability.

scholarly journals Predicting Urban Expansion and Urban Land Use Changes in Nakhon Ratchasima City Using A CA-Markov Model under Two Different Scenarios

Land ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 140 ◽  
Author(s):  
Chotchaiwong ◽  
Wijitkosum
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Open Space ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Urban Land Use ◽  
Water Bodies ◽  
Land Use Pattern ◽  
Green Areas ◽  
Landsat 7

This study focused on the prediction of land-use changes in Nakhon Ratchasima city using a CA-Markov Model with GIS. Satellite images taken by Landsat-5 (1992), Landsat-7 (2002) and THEOS (2016) were used to predict land use in 2026. In 1992, the most proportion of land usage was built-up areas (47.76%) and followed by green areas (37.45%), bare lands (13.19%), and water bodies (1.60%), respectively. In 2002, the land use comprised built-up areas (56.04%), green areas (35.52%), bare lands (4.80%) and water bodies (3.63%). By 2016, urbanisation had changed the land use pattern, which comprised built-up areas (70.80%), green areas (20.78%), bare lands (6.37%), and water bodies (2.03%). The data were analysed using a change detection matrix and revealed an increase in built-up area at the expense of all other types, especially green areas. The results were in accordance with the prediction model created in two scenarios. Scenario 1 assumed city expansion following past trends, built-up areas (85.88%), green areas (11.67%), bare lands (2.15%), and water bodies (0.30%). Scenario 2 assumed city expansion in accordance with the national strategy, built-up areas (74.91%), green areas (15.77%), bare lands (8.48%), and water bodies (0.84%). The results indicated an expansion of built-up areas and a shrinking of green areas. In Scenario 2, urban expansion was less than in Scenario 1, and preserving the green area seemed more feasible due to governmental restrictions. The results indicated that planning the urbanisation according to the policies development plans, especially in specific areas, contributed to a more efficient urbanisation growth. The city should provide to promote the use of floor area ratio (FAR) and open space ratio (OSR) with urban planning measures as well as increasing the green areas.

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