Your search found 4 records
1 Huygen, J.; van Dam, J. C.; Kroes, J. G.; Vervoort, R. W.. 1998. Introduction to SwapGui, the Swap 2.0 Graphical User Interface. Unpublished manual. Wageningen, Netherlands: DLO-Staring Centre and Wageningen Agricultural University. 78p.
(Location: IWMI-HQ Call no: P 5015 Record No: H023829)
2 Kroes, J. G.; van Dam, J. C.; Huygen, J.; Vervoort, R. W.. 1998. User's guide of SWAP version 2.0: Simulation of water flow, solute transport and plant growth in the soil-water-atmosphere-plant environment. Unpublished manual. Wageningen, Netherlands: DLO-Staring Centre and Wageningen Agricultural University. 119p. (SC-DLO technical document 53)
Simulation models ; Computer techniques ; Flow discharge ; Plant growth ; Soil-water-plant relationships
(Location: IWMI-HQ Call no: P 5016 Record No: H023830)
3 Vervoort, R. W.. 2014. Maintaining landscape functionality under land use change. In Maheshwari, B.; Purohit, R.; Malano, H.; Singh, V. P.; Amerasinghe, Priyanie. (Eds.). The security of water, food, energy and liveability of cities: challenges and opportunities for peri-urban futures. Dordrecht, Netherlands: Springer. pp.393-401. (Water Science and Technology Library Volume 71)
Landscape ; Land use ; Urbanization ; Urban development ; Periurban areas ; Flooding ; Runoff ; Hydrology ; Models ; Policy ; Ecological factors / Australia
(Location: IWMI HQ Call no: IWMI Record No: H047049)
Peri-urban growth can affect local flood and drought risks, which are exacerbated by climate change. Research into optimal planning and arrangement of landscape functions is needed to manage local flood and drought risks. As a first step, simple hydrological models are required to study the range of feedbacks and interactions within the peri-urban areas. A demonstration, using a simple modeling example, indicates how including buffer zones will reduce local flooding and how such models can be used for virtual experiments. Further development of such simple tools into spatial and agent based models will support new field studies and policy development for peri-urban areas.
4 Fuentes, I.; Vervoort, R. W.; McPhee, J.; Rojas, L. A. R. 2024. Agricultural water accounting: complementing a governance monitoring schema with remote sensing calculations at different scales. Agricultural Water Management, 292:108676. [doi: https://doi.org/10.1016/j.agwat.2024.108676]
Water accounting ; Water governance ; Monitoring ; Remote sensing ; Water use ; Water security ; Water scarcity ; Water rights ; Water availability ; Evapotranspiration ; Models ; Aggregate data ; Vegetation
(Location: IWMI HQ Call no: e-copy only Record No: H052736)
https://www.sciencedirect.com/science/article/pii/S0378377424000118/pdfft?md5=61b9f335f2f4f9026ea5b40cb95ade3d&pid=1-s2.0-S0378377424000118-main.pdf
https://vlibrary.iwmi.org/pdf/H052736.pdf
https://vlibrary.iwmi.org/pdf/H052736.pdf
(18.00 MB) (18.0 MB)
Water use requires monitoring and quantification at different spatial scales to enhance water security, especially in regions facing water scarcity and threats to food security. Consequently, water metering has been implemented in various countries as part of water governance frameworks. This study aims to evaluate the implementation of a water metering network within the Chilean water governance system, which is based on the commoditisation of water through water rights. Additionally, it assesses the potential of supplementing the water metering network with remote sensing-based estimates of actual evapotranspiration (AET) and discusses the need to integrate these estimates into an appropriate water governance scheme. To conduct this study, publicly available water use reports were obtained from the Water Resources Directorate and subsequently processed to eliminate anomalies in the withdrawal time series. Water withdrawal data was supplemented with information on granted water rights to provide additional insights and contrast water allocations with actual withdrawals. AET estimates from the Mapping EvapoTranspiration at high Resolution with Internalised Calibration (METRIC) model using Landsat scenes were also acquired for the period from 2019 to 2022 to compare withdrawals and water demand in the agricultural sector. It was found that only a small fraction of water rights ( ~ 2%) is currently being metered. Actual reported withdrawals, on average, amount to approximately one fifth to one fourth of the volumes granted through water rights. However, water extractions vary depending on geographical locations and usage categories. Remote sensing-based AET demonstrates a good correlation with withdrawals, suggesting its potential in auditing water withdrawal records provided by water users and calculating water availability and withdrawals at aggregated scales within an adaptive water governance framework. While different applications were explored within the Chilean context, these have a broader application in global water governance, particularly in regions experiencing similar challenges in water resource management.
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