A simple distributed water balance model for an urbanized river basin using remote sensing and GIS techniques

被引:8
|
作者
Fashae, Olutoyin Adeola [1 ]
Obateru, Rotimi Oluseyi [1 ]
Olusola, Adeyemi Oludapo [1 ]
机构
[1] Univ Ibadan, Dept Geog, Ibadan, Nigeria
关键词
Water balance model; river basin; water surplus; water deficit; remote sensing;
D O I
10.1080/10106049.2018.1557261
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Across most urban centres, adequate supply of water becomes essential for the urban poor. Attempts at ensuring water availability has been formulated using standard water models. This study developed a water balance model using Remote Sensing and GIS techniques during periods of water surplus and deficit across pre-millennium (1996 - 2000) and the post-millennium (2010 - 2014) periods within an urbanized Sub-Saharan city. Digital Elevation Model of the basin was prepared to generate flow direction and to delimit the watershed using ArcHydro tools in ArcGIS 10.3. Supervised classification was used to delineate the landuse classes from Landsat imageries. The result revealed that 1996, 1997, 1998, 2000, 2010 and 2013 were periods of water deficit, while 1999, 2011, 2012 and 2014 were periods of water surplus. This study affirmed the need to reactivate institutional frameworks that are responsible for assessment, conservation, management and planning of water resources for sustainable utilization.
引用
收藏
页码:954 / 975
页数:22
相关论文
共 50 条
  • [31] Modeling water and heat balance components for the river basin using remote sensing data on underlying surface characteristics
    Muzylev, E. L.
    Uspenskii, A. B.
    Startseva, Z. P.
    Volkova, E. V.
    Kukharskii, A. V.
    RUSSIAN METEOROLOGY AND HYDROLOGY, 2010, 35 (03) : 225 - 235
  • [32] Dynamic Analysis of Landscape Changes in the Heihe River Basin Using Remote Sensing and GIS
    Wang, Haoyu
    Xie, Yaowen
    Wu, Yingying
    2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 2010,
  • [33] Identification of Artificial Recharge Sites for Noyyal River Basin Using GIS and Remote Sensing
    A. Geetha Selvarani
    G. Maheswaran
    K. Elangovan
    Journal of the Indian Society of Remote Sensing, 2017, 45 : 67 - 77
  • [34] Identification of Artificial Recharge Sites for Noyyal River Basin Using GIS and Remote Sensing
    Selvarani, A. Geetha
    Maheswaran, G.
    Elangovan, K.
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2017, 45 (01) : 67 - 77
  • [35] Distributed hydrological modeling with GIS and remote sensing datasets: A case study in QingJiang river basin, China
    Ling Feng
    Zhang Qiu-wen
    Wang Cheng
    GEOINFORMATICS 2006: GEOSPATIAL INFORMATION SCIENCE, 2006, 6420
  • [36] Effective monitoring of Noyyal River surface water quality using remote sensing and machine learning and GIS techniques
    Adilakshmi, A.
    Venkatesan, V.
    DESALINATION AND WATER TREATMENT, 2024, 320
  • [37] The temporal and spatial analysis of drought in Yellow River Basin using remote sensing and GIS
    Yang, ST
    Liu, CM
    Sun, R
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2290 - 2292
  • [38] Investigation of coastal morphological changes due to river basin characteristics by means of remote sensing and GIS techniques
    Seker, DZ
    Goksel, C
    Kabdasli, S
    Musaoglu, N
    Kaya, S
    WATER SCIENCE AND TECHNOLOGY, 2003, 48 (10) : 135 - 142
  • [39] Determination of flood risks in the yeniciftlik stream basin by using remote sensing and GIS techniques
    Akar, Irfan
    Maktav, D.
    Uysal, C.
    REMOTE SENSING FOR A CHANGING EUROPE, 2009, : 40 - 45
  • [40] Modeling morphometric and geomorphological parameters of mountainous river basin for water resource management using remote sensing and GIS approach
    Chander Kant
    Gulshan Kumar
    Ray Singh Meena
    Modeling Earth Systems and Environment, 2023, 9 : 2151 - 2163