Towards Climate-Smart Water Resources Management

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 3175

Special Issue Editor


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Guest Editor
Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907, USA
Interests: hydrologic and water quality modeling; trends and impacts of climate, land use, and land management on water resources; the development of computer and internet-based applications for water quality decision making and management

Special Issue Information

Dear Colleagues,

Climate is one of the most important factors affecting water resources (quality and quantity) and watershed ecosystems in general. This is particularly so with respect to extreme events, which present the greatest challenges due to the extent of their impacts on society and infrastructure. The effects are compounded by challenges such as population growth, changing land use, urbanization, pollution, and other related issues, thus further threatening the integrity of water resources. This Special Issue is intended to explore challenges and opportunities for water resource management, considering current and anticipated trends in climate and associated threats to water security in regions around the world. Contributions are invited for original research articles, opinion papers, or review articles on related topics including but not limited to: climate change impacts on water quantity and quality; patterns and indices of extreme events; climate-land use interactions; future projections; strategies for water management; water value and water demand; water policy and institutions; strengthening water security; modeling, monitoring, or integrated approaches; decision support, etc. Issues may be addressed at any spatial scale and/or climate regime.

Dr. Margaret W. Gitau
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Climate change
  • Climate-smart
  • Extreme events
  • Hydrology
  • Water quality
  • Water resources management
  • Water security
  • Decision support

Published Papers (1 paper)

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Research

14 pages, 1694 KiB  
Article
Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains
by Ahmed A. Hashem, Bernard A. Engel, Vincent F. Bralts, Gary W. Marek, Jerry E. Moorhead, Mohamed Rashad, Sherif Radwan and Prasanna H. Gowda
Water 2020, 12(4), 1192; https://doi.org/10.3390/w12041192 - 22 Apr 2020
Cited by 10 | Viewed by 2760
Abstract
Evapotranspiration (ET) is one of the biggest data gaps in water management due to limited ET measurements, and further, spatial variability in ET is difficult to capture. Satellite-based ET estimation has great potential for water resources planning as it allows estimation of agricultural [...] Read more.
Evapotranspiration (ET) is one of the biggest data gaps in water management due to limited ET measurements, and further, spatial variability in ET is difficult to capture. Satellite-based ET estimation has great potential for water resources planning as it allows estimation of agricultural water use at field, landscape, and watershed scales. However, uncertainties with satellite data derived ET are a major concern. This study evaluates hourly satellite-based ET from 2001–2010 for the growing season (May–October) under irrigated and dryland conditions for both tall and short crops. The evaluation was conducted using observed ET from four large weighing lysimeters at the United States Department of Agriculture Agricultural Research Service (USDA-ARS) Conservation and Production Research Laboratory in Bushland, Texas. Hourly ET from satellite data were derived using the Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) model. Performance statistics showed that satellite-based hourly estimates compared to lysimeter measurements provided good performance with an root-mean-square error(RMSE) of 0.14 mm, Nash–Sutcliffe efficiency (NSE) of 0.57, and R2 of 0.62 for ET for dryland crops, and RMSE of 0.16, NSE of 0.63, and R2 of 0.65 for irrigated crops. METRIC provided accurate hourly ET estimates that may be useful for irrigation scheduling and other water resources management purposes based on the hourly assessment. Full article
(This article belongs to the Special Issue Towards Climate-Smart Water Resources Management)
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