Optimizing Land Use Patterns in a Context of Watershed Management

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (28 February 2018) | Viewed by 11781

Special Issue Editor


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Guest Editor
Division of Geography and Tourism, Department of Earth and Environmental Sciences, KU Leuven
Interests: land use change; migrations; spatial modelling; GIS; remote sensing

Special Issue Information

Dear Colleagues,

Most parts of the world will experience the consequences of climate change in the coming decades. In all climate change scenarios, a higher frequency of extreme weather events, such as excessive rainfall periods and droughts, is expected. In order to reduce the financial and societal costs related to the arriving climate change mitigation plans need to be developed at the level of watersheds. Since spatial patterns of urbanization, deforestation and afforestion and agricultural land use control to a large extent the hydrological cycle in a catchment, it is clear that land use planning and optimization is a key element in the development of resilient watersheds. Simulation tools that could assist watershed managers in developing pathways towards more sustainable land use patterns in their catchments are therefore highly needed.

Although most hydrological processes are well described and sophisticated hydrological simulations models have been developed, in relatively few studies this process knowledge is applied to optimize land use patterns, partly because of the complexity of the problem and partly because it requires an interdisciplinary approach that bridges the land use science and the water science communities.

This Special Issue aims to provide a state-of-the-art of the coupling of hydrological process models and land use optimization models. Both conceptual papers and case-studies illustrating various aspects of the integration of land use change models in watershed management are welcomed.

Prof. Dr. Anton Van Rompaey
Guest Editor

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Keywords

  • land use modelling
  • watershed management
  • urbanisation
  • deforestation
  • agricultural practices
  • flooding
  • droughts
  • spatial planning.

Published Papers (2 papers)

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Research

15 pages, 17707 KiB  
Article
Identifying Feasible Locations for Wetland Creation or Restoration in Catchments by Suitability Modelling Using Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM)
by Evelyn Uuemaa, Andrew O. Hughes and Chris C. Tanner
Water 2018, 10(4), 464; https://doi.org/10.3390/w10040464 - 11 Apr 2018
Cited by 17 | Viewed by 7245
Abstract
Wetlands play a key role in controlling flooding and non-point-source (diffuse) pollution. They are therefore an important tool for mitigating diffuse water pollution from farms. However, to use this tool, it is necessary to obtain detailed assessments and identification of potential wetland restoration [...] Read more.
Wetlands play a key role in controlling flooding and non-point-source (diffuse) pollution. They are therefore an important tool for mitigating diffuse water pollution from farms. However, to use this tool, it is necessary to obtain detailed assessments and identification of potential wetland restoration or creation sites. This is complicated by the diversity of landscapes, environmental conditions, and land ownership. Site suitability for wetland restoration or creation depends on many factors: the underlying geology, soils, topography, hydrology, drainage, and land ownership. Local hydrology and soils are among the most important factors. However, the inventory and characterization of a site’s soils and hydrology often requires extensive, expensive, and time-consuming ground surveys, and it is therefore limited to small areas. Another possibility would be to consider topography, which strongly determines water movement patterns. Light detection and ranging (LiDAR) data provides detailed topographic information and can be acquired by remote sensing. Our study showed that terrain analysis using high-resolution topographical data can produce suitability maps for wetlands that can be easily used by decision makers and planners in watershed management. The rapid methodology reveals potential wetland creation or restoration sites at a reasonable cost; with the resulting spatially explicit suitability map, managers can plan for wetland creation or restoration without having to wait for field-data collection. Full article
(This article belongs to the Special Issue Optimizing Land Use Patterns in a Context of Watershed Management)
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16 pages, 5852 KiB  
Article
Land Cover Change Detection in Urban Lake Areas Using Multi-Temporary Very High Spatial Resolution Aerial Images
by Wenyuan Zhang, Guoxin Tan, Songyin Zheng, Chuanming Sun, Xiaohan Kong and Zhaobin Liu
Water 2018, 10(2), 1; https://doi.org/10.3390/w10020001 - 23 Jan 2018
Cited by 39 | Viewed by 4047
Abstract
The availability of very high spatial resolution (VHR) remote sensing imagery provides unique opportunities to exploit meaningful change information in detail with object-oriented image analysis. This study investigated land cover (LC) changes in Shahu Lake of Wuhan using multi-temporal VHR aerial images in [...] Read more.
The availability of very high spatial resolution (VHR) remote sensing imagery provides unique opportunities to exploit meaningful change information in detail with object-oriented image analysis. This study investigated land cover (LC) changes in Shahu Lake of Wuhan using multi-temporal VHR aerial images in the years 1978, 1981, 1989, 1995, 2003, and 2011. A multi-resolution segmentation algorithm and CART (classification and regression trees) classifier were employed to perform highly accurate LC classification of the individual images, while a post-classification comparison method was used to detect changes. The experiments demonstrated that significant changes in LC occurred along with the rapid urbanization during 1978–2011. The dominant changes that took place in the study area were lake and vegetation shrinking, replaced by high density buildings and roads. The total area of Shahu Lake decreased from ~7.64 km2 to ~3.60 km2 during the past 33 years, where 52.91% of its original area was lost. The presented results also indicated that urban expansion and inadequate legislative protection are the main factors in Shahu Lake’s shrinking. The object-oriented change detection schema presented in this manuscript enables us to better understand the specific spatial changes of Shahu Lake, which can be used to make reasonable decisions for lake protection and urban development. Full article
(This article belongs to the Special Issue Optimizing Land Use Patterns in a Context of Watershed Management)
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