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Relevant bibliographies by topics / WAPOR DATABASE

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Academic literature on the topic 'WAPOR DATABASE'

Author: Grafiati

Published: 11 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "WAPOR DATABASE"

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Mahmoud, Shatha Hadi, Alaa Salih Ati, and Shatha Salim Majeed. "Calculating Water Productivity Using the Portal WaPOR." IOP Conference Series: Earth and Environmental Science 1371, no. 8 (2024): 082039. http://dx.doi.org/10.1088/1755-1315/1371/8/082039.

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Abstract The task of attaining food security while simultaneously ensuring the sustainable utilization of water resources poses a significant obstacle for both present and future generations. This problem is particularly pronounced in light of escalating pressures, including economic and demographic expansion, as well as the impacts of climate change. The agricultural sector accounts for 70 percent of global freshwater withdrawals. Hence, meticulous surveillance of water productivity in agriculture enables us to ascertain the efficiency of water utilization for crop cultivation and identify st

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Blatchford, Megan, Chris M. Mannaerts, Yijian Zeng, Hamideh Nouri, and Poolad Karimi. "Influence of Spatial Resolution on Remote Sensing-Based Irrigation Performance Assessment Using WaPOR Data." Remote Sensing 12, no. 18 (2020): 2949. http://dx.doi.org/10.3390/rs12182949.

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This paper analyses the effect of the spatial assessment scale on irrigation performance indicators in small and medium-scale agriculture. Three performance indicators—adequacy (i.e., sufficiency of water use to meet the crop water requirement), equity (i.e., fairness of irrigation distribution), and productivity (i.e., unit of physical crop production/yield per unit water consumption)—are evaluated in five irrigation schemes for three spatial resolutions—250 m, 100 m, and 30 m. Each scheme has varying plot sizes and distributions, with average plot sizes ranging from 0.2 ha to 13 ha. The data

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3

Barideh, Rahman, and Fereshteh Nasimi. "Investigating the changes in agricultural land use and actual evapotranspiration of the Urmia Lake basin based on FAO’s WaPOR database." Agricultural Water Management 264 (April 2022): 107509. http://dx.doi.org/10.1016/j.agwat.2022.107509.

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Mohammedshum, Amina Abdelkadir, Ben H. P. Maathuis, Chris M. Mannaerts, and Daniel Teka. "Using a Triple Sensor Collocation Approach to Evaluate Small-Holder Irrigation Scheme Performances in Northern Ethiopia." Water 16, no. 18 (2024): 2638. http://dx.doi.org/10.3390/w16182638.

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This study uses a triple-sensor collocation approach to evaluate the performance of small-holder irrigation schemes in the Zamra catchment of Northern Ethiopia. Crop water productivity (CWP), as an integrator of biomass production and water use, was used to compare the overall efficiencies of three types of irrigation systems: traditional and modern diversions, and dam-based irrigation water supply. Farmer-reported data often rely on observations, which can introduce human estimation and measurement errors. As a result, the evaluation of irrigation scheme performance has frequently been insuff

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Ziembicka, Beata. "The Influence of the Technical Condition of a Building on the Property’s Market Value." Folia Oeconomica Stetinensia 16, no. 1 (2016): 196–207. http://dx.doi.org/10.1515/foli-2016-0012.

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Abstract The housed property’s market value is influenced by a set of characteristic qualities, among which is the technical condition of a building. The aim of this paper is to study the influence of the technical condition of a building on the market price of the dwelling units, depending, among others, on the chosen method and the approach to the assessment of the housing wear degree. The analysis has been performed based on the estimation of the market value of an illustrative dwelling unit located in a building erected with the use of prefabricated large panel technology in selected varia

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Fakhar, Mohadeseh Sadat, and Abbas Kaviani. "Estimation of water consumption volume and water efficiency in irrigated and rainfed agriculture based on the WaPOR database in Iran." Journal of Water and Climate Change, May 10, 2024. http://dx.doi.org/10.2166/wcc.2024.655.

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ABSTRACT To evaluate the WaPOR model across the entire country of Iran, initially, 16 provinces located in four different climatic regions were selected for calculating and comparing the evapotranspiration using both the FAO-56 method and the WaPOR approach. The comparison of 10-day evapotranspiration values obtained from the FAO56 method and WaPOR demonstrates that the WaPOR model exhibits the highest correlation with FAO-56 values in semi-arid regions, with an R2 = 0.95 and an RMSE = 0.43. The analysis of evapotranspiration variations indicates that the evapotranspiration in the Caspian Sea

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Dissertations / Theses on the topic "WAPOR DATABASE"

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YOUSIF, MUSTAFA MHMOUD ALHAMEEM. "ANALYSIS OF WATER PRODUCTIVITY USING WAPOR DATABASE (CASE STUDY AL-GEZIRA SCHEME- SUDAN)." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19417.

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The aims of this study are calculating and analyze the seasonal and spatial variability of agricultural water productivity of wheat crop in AL-Gezira irrigation scheme in Sudan by using remote sensing derived datasets. The data used in this project were collected from WaPOR, an open access portal, and content a 30m spatial resolution 10 days interval (decadal data) of Actual evapotranspiration and interception (AETI) and Net primary production (NPP). Accordingly, the average seasonal AETI and NPP was compiled for the scheme during the period from (1/11/2017) to (1/4/2018) for the first s

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Books on the topic "WAPOR DATABASE"

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WaPOR database methodology. FAO, 2020. http://dx.doi.org/10.4060/ca9894en.

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Food and Agriculture Organization of the United Nations. WaPOR Database Methodology: Version 2 Release, April 2020. Food & Agriculture Organization of the United Nations, 2020.

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3

Food and Agriculture Organization of the United Nations. WaPOR V2 Quality Assessment: Technical Report on the Data Quality of the WaPOR FAO Database Version 2. Food & Agriculture Organization of the United Nations, 2021.

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4

WaPOR V2 quality assessment – Technical Report on the Data Quality of the WaPOR FAO Database version 2. FAO, 2020. http://dx.doi.org/10.4060/cb2208en.

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Conference papers on the topic "WAPOR DATABASE"

1

Hajirad, Iman, Sanaz Mohammadi, and Hossein Dehghanisanij. "Determining the Critical Points of a Basin from the Point of View of Water Productivity and Water Consumption Using the WaPOR Database." In International Electronic Conference on Water Sciences. MDPI, 2023. http://dx.doi.org/10.3390/ecws-7-14322.

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