Morocco is a country with extremely arid areas and a complex topography. The majority of climate change related studies predict increases in temperature and generalised decreases in precipitation, however the outputs of these studies are limited in that the resolution of the climate models used is relatively low and therefore often does not pick up variation over areas of complex topography (in which much of the population live). This study therefore helps generate a higher resolution, bias corrected climate dataset. It is also important that trends in precipitation, and more importantly drought, are better understood as Morocco is highly vulnerable to water scarcity. This study therefore focuses on the impacts of climate change on extreme low precipitation, which is directly linked to water shortages and drought events. The study adds valuable new insights to climate change impact analysis in Morocco and is the first to use downscaled climate data to focus on sector wise impact. The data outputs will be located at a number of universities and government ministries in Morocco.
In 2016, FutureWater released a new dataset: HiHydroSoil v1.2, containing global maps with a spatial resolution of 1 km of soil hydraulic properties to support hydrological modeling. Since then, the maps of the HiHydroSoil v1.2 database have been used a lot in hydrological modeling throughout the world in numerous (scientific) projects. A few examples of the use of HiHydoSoil v1.2 are shown in the report.
Important input of the HiHydroSoil database is ISRICS’ SoilGrids database: a high resolution dataset with soil properties and classes on a global scale. In May 2020, ISRIC has released the latest version (v2.0) of its Soilgrids250m product. This release has made it possible for FutureWater to update its HiHydroSoil v1.2 database with newer, more precise and with a higher resolution soil data, which resulted in the development and release of HiHydroSoil v2.0.
Soil information is the basis for all environmental studies. Since local soil maps of good quality are often not available, global soil maps with a low resolution are used. Furthermore, soil maps do not include information about soil hydraulic properties, which are of importance in, for example, hydrological modeling, erosion assessment and crop yield modelling. HiHydroSoil v2.0 can fill this data gap. HiHydroSoil v2.0 includes the following data:
- Organic Matter Content
- Soil Texture Class
- Saturated Hydraulic Conductivity
- Mualem van Genuchten parameters Alfa and N
- Saturated Water Content
- Residual Water Content
- Water content at pF2, pF3 and pF4.2
- Hydrologic Soil Group (USDA)
Download HiHydroSoil v2.0
The HiHydroSoil v2.0 database can be accessed after filling the brief request form below. A download link to the full dataset will then be provided. The HiHydroSoil v2.0 dataset is organized in two folders, one containing the original data for each of the six depths, and one with the aggregated subsoil and topsoil data. All data layers are delivered in geotiff raster format.
Important! To avoid lengthy download times, the data layers originally consisting of float data type were multiplied by a factor of 10,000, and subsequently converted to integer type. It is therefore required to translate the data to the proper units by multiplying with 0.0001. These steps are also described in the readme file delivered with the data.
La Sierra Nevada de Santa Marta, declarada Reserva de la Biosfera por la UNESCO, es un complejo montañoso aislado de aproximadamente 17.000 km², apartado de la cadena de los Andes que atraviesa Colombia. La Sierra Nevada tiene el pico costero más alto del mundo (5.775 m sobre el nivel del mar) a solo 42 kilómetros de la costa del Caribe. La Sierra Nevada es la fuente de 36 cuencas hidrográficas, lo que la convierte en la principal «fábrica de agua» regional que abastece a 1.5 millones de habitantes, así como vastas áreas agrícolas en las llanuras circundantes utilizadas principalmente para el cultivo de banano y palma aceitera. Los principales problemas por resolver en estas cuencas son: i) Disminución de la disponibilidad de agua para riego, ii) Disminución de la disponibilidad y calidad del agua para consumo humano, iii) Aumento de la salinización de aguas subterráneas y suelos, iv) Aumento de la incidencia de inundaciones.
Este proyecto es un estudio de factibilidad sobre la adopción de técnicas de riego más eficientes por parte de los productores de palma aceitera en la cuenca del río Sevilla (713 km²), una de las cuencas más relevantes en la Sierra Nevada. El objetivo general es identificar el entorno local a nivel de cuenca hidrográfica, los factores limitantes y las intervenciones adecuadas en fincas de palma aceitera para mejorar el uso del agua. Se desarrolló una fase de preparación e implementación que incluyó una evaluación del clima, la disponibilidad hídrica, la amenaza de sequía, las características del suelo, el uso de la tierra y la topografía. Se caracterizaron las variedades de palma aceitera, y las prácticas de campo (por ejemplo, manejo de nutrientes y prácticas de riego), y se determinaron las necesidades de agua de los cultivos. Además, se evaluaron los costos y beneficios asociados a la implementación de tecnologías de riego eficientes como ferti-riego y métodos de cosecha de agua. Se evaluaron ubicaciones potenciales, riesgos y oportunidades para la captación de agua con la idea de almacenar agua en la época lluvioso para poder utilizar el recurso de manera eficiente en la época seca. Se utilizó una variedad de conjuntos de datos SIG y satelitales (por ejemplo, CHIRPS, MODIS-ET, MODIS-NDVI, HiHydroSoil) para evaluar las condiciones ambientales, y los socios colombianos Cenipalma y Solidaridad proporcionaron datos e información local para generar una evaluación integral a nivel de cuenca y de finca. La expectativa es que productores de palma aceitera puedan adoptar técnicas de ferti-riego y cosecha de agua para reducir el déficit hídrico y pérdida de fertilizantes para lograr una producción ambientalmente más sostenible.
The Ministry of Water and Environment in Bolivia has asked the Dutch Government for support in relation to the drought issues they face. Last week, a team consisting of team leader Otto de Keizer (Deltares) and Johannes Hunink (FutureWater) left for Bolivia. As a result of El Niño, the country is struggling with a long and extreme drought period, which in November 2016 led to an acute water shortage in the capital La Paz and other areas of the country.
The Dutch government together with the Dutch water sector founded the Dutch Risk Reduction Team (DRR-Team). With the DRR instrument the Netherlands is able to cover the entire disaster management cycle from mitigation, preparedness and response to recovery.
To address the drought problem in Bolivia, the DRR-Team has been asked to provide recommendations on drought early warning and drought information systems, both on technical aspects as well as on institutional issues. The team has held talks with the Ministry of Environment and Water, the La Paz and Potosí drinking water companies, and the municipality of La Paz. In addition, they also consulted with SENAMHI: the National Hydrometeorological Institute. The DRR-Team drew up with a team of experts of the World Bank that supports Bolivia with several necessary investments to reduce vulnerability to drought.
Cambodia is currently improving in economic standing, however the benefits of this are largely contained to urban areas. As a major contributor to GDP, ensuring the sustainability of Cambodia’s agricultural sector is highly important, especially when coupled with the increasing awareness of the dangers of climate change. Access to water for agriculture, fisheries and domestic supply is an issue, with many rural communities competing for resources. Coupled with the effects of flood and drought activity in recent years, the need for adequate and reliable water resource management in rural, agricultural areas is prominent. This project focuses on the North- Western Cambodian provinces of Oddar Meanchey (OMC) and Banteay Meanchey (BMC) and the neighbouring North-Eastern Thai provinces of Surin and Sisaket.
In order to protect rural livelihoods and maintain agricultural production, communities must be supplied with permanent and regulated water year-round. Analysis of recent flood and drought histories and their effects in the provinces are first necessary to determine the most vulnerable areas both in terms of agriculture and households. In addition, water resource assessments of supplies and demand will identify the most crucial areas to ensure supplies are increased and sustained both for crops and domestic use. Socio-economic studies will also ensure ‘cross- cutting’ issues are considered in WR planning, such as: gender, economic vulnerability and cultural factors related to WRM. Furthermore, meetings with stakeholders at multiple levels can address issues in water infrastructure, alongside assessment of the capacities of those managing monitoring systems for example. From this, future recommendations for improvements in infrastructure can be made with an awareness of the necessary knowledge capacities to ensure proper maintenance and sustainability.
Initially, an analysis of the current water resource situation in the study area will be conducted through collection of available data on water resources, flood and drought histories and socioeconomic issues in the area. Following this, areas for more detailed analysis will be established and strategies to improve WRM supporting agricultural livelihoods can be developed. FutureWater is involved in the implementation of the WEAP model, for evaluation of various water resources management strategies in the catchments under baseline and projected future conditions.
Myanmar is a country with huge water and agriculture-related challenges. However, ground data on e.g. river flows, rainfall and crop growth are only very sparsely available. This training supported by Nuffic aimed to build capacity across the water sector in Myanmar in overcoming these limitations by using Google Earth Engine, a state-of-the art tool for accessing and processing a wealth of geographical datasets. Participants from academia, higher education, and govenment agencies, attended two training sessions hosted by YTU (the main requesting organization) and implemented by FutureWater and HKV. During the intermediate period, remote support was offered to the participants via Skype, email and the dedicated Facebook page. Results of the individual assignments, which were formulated by the participants based on their personal objectives, were presented in a final symposium.
Higher educational staff was trained to achieve sustainable impact by implementing Google Earth Engine in their curricula and train a new generation of modern and well-equipped water professionals. Public sector representatives participated to obtain skills that can be directly and sustainably implemented in their respective organizations, to benefit effective and equitable water management.
El proyecto Grupo Operativo ECOPRADERAS financiado por EIP-AGRI , tiene como objetivo general mejorar el manejo y la gestión de las praderas mediante: (1) la transferencia e implementación de tecnologías innovadoras, (2) la identificación y fortalecimiento de buenas prácticas culturales, y (3) la difusión de la información y los resultados más relevantes entre los usuarios finales. FutureWater asiste a ECOPRADERAS en lo referido al primer apartado, mediante el encargo específico de desarrollar una herramienta para el seguimiento operacional del estado de las praderas del Valle del Alagón mediante el uso combinado de índices espacio-temporales de satélite.
La metodología empleada por FutureWater utiliza tecnologías de procesamiento masivo de datos en la nube (Google Earth Engine) para calcular un índice cualitativo de estado de la superficie que combina valores de anomalía espacial y temporal del indice de verdor (NDVI). Este indice cualitativo de estado permite categorizar el territorio en diferentes clases y detectar trayectorias o prácticas de manejo pascícola que suponen un riesgo para la sostenibilidad ambiental del sistema productivo y que necesitarían de especial atención.
Las tareas del proyecto incluyen la definición del esquema metodológico, el diseño e implementación de una plataforma web-mapping, y la calibración-validación de los resultados mediante comparación con datos de campo obtenidos en fincas piloto y proporcionados por los socios del proyecto.
The SREB is part of the Belt and Road Initiative, being a development strategy that focuses on connectivity and cooperation between Eurasian countries. Essentially, the SREB includes countries situated on the original Silk Road through Central Asia, West Asia, the Middle East, and Europe. The initiative calls for the integration of the region into a cohesive economic area through building infrastructure, increasing cultural exchanges, and broadening trade. A major part of the SREB traverses Asia’s high-altitude areas, also referred to as the Third Pole or the Asian Water Tower. In the light of the planned development for the SREB traversing the Third Pole and its immediate surroundings, the “Pan-Third Pole Environment study for a Green Silk Road (Pan-TPE)” program will be implemented.
The project will assess the state and fate of water resources in the region under following research themes:
1. Observed and projected Pan-TPE climate change
2. Impacts on the present and future Water Tower of Asia
3. The Green Silk Road and changes in water demand
4. Adaptation for green development
In irrigated agriculture options to save water tend to focus on improved irrigation techniques such as drip and sprinkler irrigation. These irrigation techniques are promoted as legitimate means of increasing water efficiency and “saving water” for other uses (such as domestic use and the environment). However, a growing body of evidence, including a key report by FAO (Perry and Steduto, 2017) shows that in most cases, water “savings” at field scale translate into an increase in water consumption at system and basin scale. Yet despite the growing and irrefutable body of evidence, false “water savings” technologies continue to be promoted, subsidized and implemented as a solution to water scarcity in agriculture.
The goal is to stop false “water savings” technologies to be promoted, subsidized and implemented. To achieve this, it is important to quantify the hydrologic impacts of any new investment or policy in the water sector. Normally, irrigation engineers and planners are trained to look at field scale efficiencies or irrigation system efficiencies at the most. Also, many of the tools used by irrigation engineers are field scale oriented (e.g. FAO AquaCrop model). The serious consequences of these actions are to worsen water scarcity, increase vulnerability to drought, and threaten food security.
There is an urgent need to develop simple and pragmatic tools that can evaluate the impact of field scale crop-water interventions at larger scales (e.g. irrigation systems and basins). Although basin scale hydrological models exist, many of these are either overly complex and unable to be used by practitioners, or not specifically designed for the upscaling from field interventions to basin scale impacts. Moreover, achieving results from the widely-used FAO models such as AquaCrop into a basin-wide impact model is time-consuming, complex and expensive. Therefore, FutureWater is developing a simple but robust tool to enhance usability and reach, transparency, transferability in data input and output. The tool is based on proven concepts of water productivity, water accounting and the appropriate water terminology, as promoted by FAO globally (FAO, 2013). Hence, the water use is separated in consumptive use, non-consumptive use, and change in storage (Figure 1).
A complete training package is developed which includes a training manual and an inventory of possible field level interventions. The training manual includes the following aspects: 1) introduce and present the real water savings tool, 2) Describe the theory underlying the tool and demonstrating some typical applications, 3) Learn how-to prepare the data required for the tool for your own area of interest, 4) Learn when real water savings occur at system and basin scale with field interventions.
The Mashhad city is the second largest city in Iran. The economic growth in the Mashhad city is strongly threatened by water shortages and unregulated groundwater extraction. The situation is critical, and the government is considering drastic infrastructural measures such as desalination and water supply from the Sea of Oman (Ministerie van Landbouw, 2018). Hence, finding cost-effective alternatives to reduce groundwater consumption in the Mashhad basin (Figure 1) is of regional interest.
The SMART-WADI project (SMART Water Decisions for Iran), carried out by a consortium of FutureWater, IHE-Delft, and local partner EWERI, focuses on farmers who irrigate their crops with groundwater. The aim is to provide up-to-date information and advice on water productivity, irrigation and farm management. The project combines the latest satellite technology for the quantification of water consumption and productivity, with high resolution flying sensor (drone) images to monitor the crop growth.
Using this information in a crop model can determine the potential for improving agricultural practices and reduce groundwater consumption. This way, a higher crop yield (food production) and higher water productivity can be obtained (Figure 2). Eventually farmers receive this information in combination with recommendations regarding irrigation planning via an online portal or mobile app.
SMART-WADI is now in the phase of a feasibility project, in which the market context and technical aspects are tested. This is supported by the Partners for Water Program of RVO.nl, with co-funding from the executive project partners. Based on the first signals and the experiences of FutureWater and IHE-Delft in similar projects, it is estimated that this information service has great potential to be scaled up to other areas in Iran.
FutureWater is developing and testing a framework to predict crop yield and water productivity based on crop growth monitoring using flying sensors and remote sensing. Thanks to this innovation, farmers can timely plan field management practices (e.g. irrigation application) enhancing water productivity and reducing groundwater consumption.
