scholarly journals REMOTE SENSING-BASED WATER ACCOUNTING TO SUPPORT GOVERNANCE FOR GROUNDWATER MANAGEMENT FOR IRRIGATION IN LA MANCHA ORIENTAL AQUIFER, SPAIN

Author(s):  
ALFONSO CALERA ◽  
JESÚS GARRIDO-RUBIO ◽  
MARIO BELMONTE ◽  
IRENE ARELLANO ◽  
LORENA FRAILE ◽  
...  
2015 ◽  
Vol 19 (1) ◽  
pp. 507-532 ◽  
Author(s):  
P. Karimi ◽  
W. G. M. Bastiaanssen

Abstract. The scarcity of water encourages scientists to develop new analytical tools to enhance water resource management. Water accounting and distributed hydrological models are examples of such tools. Water accounting needs accurate input data for adequate descriptions of water distribution and water depletion in river basins. Ground-based observatories are decreasing, and not generally accessible. Remote sensing data is a suitable alternative to measure the required input variables. This paper reviews the reliability of remote sensing algorithms to accurately determine the spatial distribution of actual evapotranspiration, rainfall and land use. For our validation we used only those papers that covered study periods of seasonal to annual cycles because the accumulated water balance is the primary concern. Review papers covering shorter periods only (days, weeks) were not included in our review. Our review shows that by using remote sensing, the absolute values of evapotranspiration can be estimated with an overall accuracy of 95% (SD 5%) and rainfall with an overall absolute accuracy of 82% (SD 15%). Land use can be identified with an overall accuracy of 85% (SD 7%). Hence, more scientific work is needed to improve the spatial mapping of rainfall and land use using multiple space-borne sensors. While not always perfect at all spatial and temporal scales, seasonally accumulated actual evapotranspiration maps can be used with confidence in water accounting and hydrological modeling.


Author(s):  
Jesús Garrido-Rubio ◽  
Alfonso Calera Belmonte ◽  
Lorena Fraile Enguita ◽  
Irene Arellano Alcázar ◽  
Mario Belmonte Mancebo ◽  
...  

Abstract. Temporal series maps of irrigated areas, and the corresponding irrigation water requirements based on remote sensing, is a recognized tool contributing to water governance at different scales, from water user associations to whole river basin districts. These thematic cartographies offer a first estimation of the crop irrigation requirements, and a biophysical based approach of the temporal and spatial distribution of the crop water use in the cultivated areas. This work describes the operational application of these methodologies, providing valuable information for water governance and management purposes. The basic products obtained in the whole Spanish part of the Iberian Peninsula during the period 2014–2017 were: (i) annual maps of irrigated crops based on time series of multispectral satellite imagery; and (ii) the direct remote sensing-based water accounting, by quantifying agricultural water flows (e.g. rainfall, irrigation, evapotranspiration, drainage and recharge), through a remote sensing-based soil water balance. Hence this paper provides a remote sensing based water accounting approach, which relies on dense time series of multispectral imagery acquired by the multisensor constellation arranged by Landsat 8 and Sentinel-2 satellites, jointly with meteorological data and agronomic knowledge. Then, based on these purpose and approach, annual and monthly maps of net irrigation water requirements have been elaborated at the most practical spatial and temporal scales for water governance purposes over big areas such river basin districts. This work summarizes the methodologies used and discuss the technical and non-technical feasibility of the proposed approach.


2021 ◽  
Author(s):  
Chadi Abdallah ◽  
Gina Tarhini ◽  
Mariam Daher ◽  
Hussein Khatib ◽  
Mark Zeitoun

<p>Coping with the issue of water scarcity and growing competition for water among different sectors requires effective water management strategies and decision processes. ‘Getting it right’ becomes doubly important when dealing with intenational transboundary rivers. The Yarmouk tributary to the Jordan River is one highly exploited in the Middle East, and is enveloped by ambiguous treaties and decades of violent and non-violent conflict. Seeking to chart a more sustainable and equitable future, this work performs a 'water accounting plus' methodology employing readily available remotely sensed satellite-based data coupled with available measurements.  A variety of methods described herein were used to detect irrigated crops and produce maps showing the distribution throughout the basin. The framework also focuses on the classification of land use categories and the processes by which water is depleted over all land use classes that contributes to separate the beneficial from non-beneficial usage of water. The analysis was started prior to the 2011 start of the Syrian war in order to study the initial distribution of land use classes as well as the water depletion processes before any change in the basin. It shows that more than half of the exploitable water is not consumed within the basin and depleted outside. In contrast, most of the water consumed within the basin is wasted and depleted in a non-beneficial way. Roughly 35% of the cultivated area shown to be irrigated through withdrawals which exceed the capacity of the source. This result reflects the high abstraction rates from groundwater via a large number of unlicensed wells mostly located at the Syrian side. This study also detect a deficiency in the water balance of the Yarmouk River. The findings are relevant to sustainable management not only for water-dependent sectors but also for geopolitical stability among the riparian countries. In this way, open- access remote sensing derived data can provide useful information about the status of water resources especially when ground measurements are poor or absent.</p><p> </p><p>Keywords: Yarmouk, Water Accounting Plus, IWM, Irrigated crops, WAPOR.</p>


1999 ◽  
Vol 40 (2-3) ◽  
pp. 363-375 ◽  
Author(s):  
F.J Montero ◽  
J Meliá ◽  
A Brasa ◽  
D Segarra ◽  
A Cuesta ◽  
...  

2020 ◽  
Author(s):  
Andres Cuesta ◽  
Carmen Plaza ◽  
María Calera ◽  
Vicente Bodas ◽  
Anna Osann ◽  
...  

<p>The rigorous management of water in agriculture must be seen from the point of view of all its actors, covering the information and knowledge needs of each one of them: from supporting the farmer in making irrigation decisions at the foot of the plot, until the collection and management of objective information at the basin level, through planning and control at the level of user communities. Today it is not conceived to address this enormous task without resorting to the available technological arsenal, but to speak of complex technologies is to speak of a high degree of specialization that escapes individual capacities. In this context, successful solutions arise from cooperation between entities of different nature. An example of this is the collaboration between the Remote Sensing Section and GIS of the University of Castilla La Mancha and the company AgriSat Iberia SL, which have created a dynamic of continuous innovation work to, firstly, transfer complex knowledge in format to the farmer of simple services of direct application, later, with the information generated at the intraparcel level, to scale to the level required by the entities or authorities involved in water governance, and finally, to redirect efforts and resources in research, development and innovation from of a better knowledge of their perception, degree of adoption and suggestions for improvement in this regard.</p><p>The last result of this fruitful collaboration has been the development of an application that integrates information on the state of the crops, from satellite images, to predict reliably and at an intraparcel scale (with a resolution level of 100 m<sup>2</sup>) your needs water a week seen. This allows quantifying, at any moment of the crop cycle, its accumulated demand for water, and adding it spatially to the exploitation level, of the irrigation community or of the river basin. From the estimation of the relative photosynthetic activity obtained from the images, it is possible to know the evolution of the crops throughout their growth and development cycle, as well as their spatial variability, in a simple and intuitive way.</p><p>There are three technologies that jointly facilitate this important leap in water management: remote sensing, geographic information systems (GIS), and information and communication technologies (ICT).</p><p>Its online character makes it a service accessible from anywhere with data connection, and in turn makes it a “live” system not only for its capacity for functional expansion but for the possibility of increasing the quantity and quality of the sources of information, allowing access to each new improvement immediately.</p>


1995 ◽  
Author(s):  
Thomas Selige ◽  
Karsten Friedrich ◽  
Th. Vorderbruegge ◽  
Peter H. Reinartz ◽  
M. Peter

2014 ◽  
Vol 05 (12) ◽  
pp. 732-745 ◽  
Author(s):  
Manal Abdel Monem ◽  
Abdalla Faid ◽  
Esam Ismail ◽  
Matthias Schöniger

2016 ◽  
Vol 8 (8) ◽  
pp. 618 ◽  
Author(s):  
Carolina Doña ◽  
Ni-Bin Chang ◽  
Vicente Caselles ◽  
Juan Sánchez ◽  
Lluís Pérez-Planells ◽  
...  

2017 ◽  
Vol 122 (10) ◽  
pp. 8566-8582 ◽  
Author(s):  
Estelle Chaussard ◽  
Pietro Milillo ◽  
Roland Bürgmann ◽  
Daniele Perissin ◽  
Eric J. Fielding ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document