Impervious Land Cover Pattern and Its Impact on Urban Water Logging: Case of New Delhi, India

Author(s):  
Harkesh Paras Dewangan ◽  
Surabhi Mehrotra
Author(s):  
Mykhailo Grodzynskyi ◽  
Daria Svidzinska

The Bakumivka River’s catchment, Ukraine serves as a case study to the application of FREEWAT to the ground and surface water management. The main objective of the study is to find out the optimal spatial distribution of the water supplied to the farms by modifying the land cover pattern of the catchment. An integrated numerical model was developed to provide quantitative estimates of the water budget components. The model includes four model layers, representing the main hydrostratigraphic units, different types of boundary conditions assigned along the area’s boundaries, major components of the water balance introduced through source and sink layers. It was implemented through the FREEWAT software. Three water management scenarios were developed in order to compare different spatial patterns of land cover and distribution of water within the Bakumivka River’s basin. The scenarios represent continuum from market oriented pattern to environmentally sounding pattern of land cover. The objective of the modeling exercise is to obtain mass balances and maps representing three scenarios of water management. Each map shows distribution of the areas where the water balance is optimal, insufficient (dry) or excessive (wet) for vegetation (land cover) of particular type.The simulation shows that changing spatial land cover pattern is an effective measure to reduce water supply to the farms, however it does not prevent water logging in the areas adjacent to the flood plains and drying on summer stress periods in lands of sandyloam soils. Irrigation should be excluded in the areas with sandy and sandyloam soils. The flood plain with peat bogs despite the high water head in spring and late summer stress periods should be irrigated to prevent peat fires. The intrusion of eco-corridors to the land cover pattern in the catchment is positive from ecological perspective, but could prevent drainage causing water logging in the arable lands.


2017 ◽  
Vol 16 (5) ◽  
pp. 1211-1216 ◽  
Author(s):  
Wenfeng Zheng ◽  
Xiaolu Li ◽  
Nina Lam ◽  
Dan Wang ◽  
Lirong Yin ◽  
...  
Keyword(s):  
New York ◽  
Land Use ◽  

Author(s):  
K Sugiyo ◽  
S Supriatna ◽  
Risnarto ◽  
F Afdhalia

2020 ◽  
Vol 13 (4) ◽  
pp. 989-1004
Author(s):  
Jiaxin Yang ◽  
Yumin Chen ◽  
John P. Wilson ◽  
Huangyuan Tan ◽  
Jiping Cao ◽  
...  

2018 ◽  
Vol 92 ◽  
pp. 133-140 ◽  
Author(s):  
Meirong Su ◽  
Ying Zheng ◽  
Yan Hao ◽  
Qionghong Chen ◽  
Shuhuan Chen ◽  
...  

2016 ◽  
Vol 113 (32) ◽  
pp. 9117-9122 ◽  
Author(s):  
Robert I. McDonald ◽  
Katherine F. Weber ◽  
Julie Padowski ◽  
Tim Boucher ◽  
Daniel Shemie

Urban water systems are impacted by land use within their source watersheds, as it affects raw water quality and thus the costs of water treatment. However, global estimates of the effect of land cover change on urban water-treatment costs have been hampered by a lack of global information on urban source watersheds. Here, we use a unique map of the urban source watersheds for 309 large cities (population > 750,000), combined with long-term data on anthropogenic land-use change in their source watersheds and data on water-treatment costs. We show that anthropogenic activity is highly correlated with sediment and nutrient pollution levels, which is in turn highly correlated with treatment costs. Over our study period (1900–2005), median population density has increased by a factor of 5.4 in urban source watersheds, whereas ranching and cropland use have increased by a factor of 3.4 and 2.0, respectively. Nearly all (90%) of urban source watersheds have had some level of watershed degradation, with the average pollutant yield of urban source watersheds increasing by 40% for sediment, 47% for phosphorus, and 119% for nitrogen. We estimate the degradation of watersheds over our study period has impacted treatment costs for 29% of cities globally, with operation and maintenance costs for impacted cities increasing on average by 53 ± 5% and replacement capital costs increasing by 44 ± 14%. We discuss why this widespread degradation might be occurring, and strategies cities have used to slow natural land cover loss.


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