The objectives of this climate risk assessment for the Li River in China is to assess current flood risk and future flood risk in the Li river basin in China. With an average of 1800 mm annual total rainfall, floods are severe and frequent in the region. Additionally to rainfall, severe floods in are often related to discharges from upstream reservoirs
Given the fact that this area is data scarce, global datasets with climatic data (ERA5-Land), soil parameters (HiHydroSoil) and land cover (Copernicus) were used to feed a hydrological HEC-HMS model to calculate the discharge for the extreme event of June 2020. Based on measured water levels and discharge, it was possible to develop rating curves and with these rating curves, it was possible to estimate water levels in the river for current (validation) and future conditions. This analysis served as input for the full climate risk assessment, in which possible interventions were proposed to reduce flood risk in the future.
The proposed Mombasa Water Fund should secure and improve the quantity and quality of source waters for Mombasa City by channelling investments into source protection and catchment conservation measures of the watersheds. Current spring- and groundwater-based water supply infrastructure is insufficient to meet the city’s growing demands. Focus of the study is therefore on the watershed that serves a new water reservoir (Mwache Dam).
The design study will:
Assess the biophysical, financial, economic and socio-economic benefits of the MWF; and
Identify the potential governance and financing models to establish the MWF
FutureWater performs the biophysical analysis of this study. It aims to link activities in the watershed with positive outcomes for water security. Different combinations of solutions (nature-based primarily) are simulated through an hydrological modelling tool to assess impacts on water quantity and quality, including erosion and sediment yield. The model allows also to assess water demand versus supplies and resulting possible future shortages. Outputs are used in the economic analysis that will cost and valuate different alternative scenarios. The business case study should enable the creation of another successful Water Fund in sub-Saharan Africa promoted by The Nature Conservancy.
Erosion plays a critical role in soil and water resource conservation projects. The WEAP model (Water Evaluation And Planning Tool) is widely used for water planning assessments, but an erosion module was lacking so far. The new WEAP Erosion Plugin (WEP) will fill this gap.
The new plugin, referred to as WEP (WEAP Erosion Plugin) was developed by FutureWater in association with the Stockholm Environment (SEI). Peter Droogers, main developer of WEP, mentions: “WEP enables us to do a full water resources analysis including erosion assessments within one modeling tool”. Plugins are relatively new in WEAP but allow for expanding the model with new processes. The erosion plugin is currently applied in projects that FutureWater undertakes for various partners including The Nature Conservancy (TNC), World Bank, Asian Development Bank (ADB) and national water resource management institutes.
The WEAP Erosion Plugin (WEP) can be freely used by each WEAP user. Johannes Hunink, director of FutureWater: “We are committed to a more sustainable future for our water resources, and make this plugin therefore available for everyone”. Jack Sieber, lead developer of WEAP at SEI, is pleased to notice that WEAP can be used now in projects and studies where erosion is an important aspect.
Interested in downloading the plugin? Follow this link. The associated report and manual can be found here.
The Swiss Agency for Development and Cooperation’s (SDCs) Global Programme Climate Change and Environment (GP CCE) India is supporting the operationalization of climate change adaptation actions in the mountain states of Uttarakhand, Sikkim and Himachal Pradesh through the phase two of the “Strengthening State Strategies for Climate Action” (3SCA) project that was launched in 2020. The second phase of 3SCA (2020-23), known as the Strengthening Climate Change Adaptation in Himalayas (SCA-Himalayas), while building on the experience and achievements of Phase 1, aims to showcase mountain ecosystem appropriate scalable approaches for climate resilience in water and disaster risk management sectors; using these efforts to enhance the capacities of the institutions across the Indian Himalayan Region (IHR) to plan, implement and mainstream adaptation actions into their programmes and policy frameworks; and disseminating the experiences and lessons at the regional and global level.
Within this programme, SDC has granted a project to FutureWater, together with Utrecht University, The Energy and Resources Institute (TERI), the University of Geneva and a few individual experts. The activities in this project focus on the development and application of climate responsive models and approaches for integrated water resources management (IWRM) for a selected glacier-fed sub-basin system in Uttarakhand and that at the same will find place in relevant policy frameworks paving way for their replication across IHR and other mountainous regions. This will allow the policy makers from the mountain states in India to manage the available water resources in an efficient and effective manner, benefiting the populations depending on these resources.
The combination of future climate change and socio-economic development poses great challenges for water security in areas depending on mountain water (Immerzeel et al., 2019). Climate change affects Asia’s high mountain water supply by its impact on the cryosphere. Changes in glacier ice storage, snow dynamics, evaporation rates lead to changes in runoff composition, overall water availability, seasonal shifts in hydrographs, and increases in extremely high and low flows (Huss and Hock, 2018; Lutz et al., 2014a). On the other and, downstream water demand in South Asia increases rapidly under population growth and increasing welfare boosting the demand for and electricity generation through hydropower. To address and adapt to these challenges integrated water resource management (IWRM) approaches and decision support systems (DSS) tailored to glacier- and snow-fed subbasins are required.
To fulfil the mandate outlined by SDC a framework is presented for IWRM and DSS for Himalayan subbasins consisting of three integrated platforms. (i) A modelling and decision support platform built around a multi-scale modelling framework for glacier and snow fed subbasins, based on state-of-the art and “easy to use” modelling technology. (ii) A stakeholder engagement platform to consult key stakeholders, identify key IWRM issues and co-design a new IWRM plan for Bhagirathi subbasin. (iii) A capacity building platform with on-site training and e-learning modules for the key project components: glacio-hydrological modelling, IWRM and DSS, to ensure the sustainability of the approach and pave the way for upscaling to other subbasins in the Indian Himalayan Region.
The three platforms are designed designed to be flexible, integrated and interactive. Moreover they align with the three outcomes of the project, thus contributing to: develop and validate an integrated climate resilient water resource management approach (Outcome 1); increase technical and institutional capacity in the fields of hydrological modelling, IWRM and DSS (Outcome 2); support the embedding of the IWRM approach tailored to glacier-fed Indian Himalayan subbasins in policies, and provide generic outputs and guidelines to facilitate upscaling to other subbasins in the Indian Himalayan Region (Outcome 3).
The modelling and decision support platform is designed for operation under the data scarce conditions faced in Himalayan catchments, and yields reliable outputs and projections. The modelling toolset covers the Bhagirathi watershed (Figure below) and consists of 3 hydrological models: (i) a high resolution glacio-hydrological model for the Dokriani glacier catchment (SPHY-Dokriani). Key parameters derived with this model are upscaled to (ii) a distributed glacio-hydrological model that covers the Bhagirathi subbasin (SPHYBhagirathi). Outputs of this model feed into (iii) a water allocation model that overlays the SPHY-Bhagirathi model in the downstream parts of the basin, where water demands are located (WEAP–PODIUMSIM Bhagirathi). This modelling toolset is forced with downscaled climate change projections and socio-economic projections to simulate future changes in water supply and demand in the subbasin. On the basis of stakeholder inputs, adaptation options are identified and implemented in the water allocation model for scenario analysis. Thus, socio-economic projections and adaptation options are co-designed with the stakeholders to ensure maximum applicability, and are tailored to the requirements for formulation of the new IWRM plan. The outputs of the modelling toolset feed into the Decision Support System, where they are presented in such a way that they can truly support decision making in this subbasin. Results of the modelling, decision support and stakeholder engagement platforms jointly support the co-design of an IWRM plan for the subbasin. Capacity in glacio-hydrological modelling, IWRM and the use of DSS is built through a combination of on-site training and e-learning; replicable training modules are developed for glacio-hydrological modelling, IWRM and DSS in general and for this particular approach to support implementation and sustainability.
Asian Development Bank (ADB) is supporting the Government of Kazakhstan in it’s “Wastewater Treatment Plants Reconstruction and Construction Program”. The overall aim is to improve the wastewater treatment facilities in the 53 cities across Kazakhstan. The Program will be implemented through a phased approach. During the first phase five Wastewater Treatment Plants in Stepnogorsk, Zhezkazgan, Satpayev, Balkhash and Zhanatas are to be financed by ADB.
FutureWater has undertaken a climate risk and adaptation analysis for those facilities. FutureWater has extended and updated a previous climate risk assessment (CRA). The original CRA was based on the CMIP3 projections and only some selected climate models were used. FutureWater has updated the original CRA by using downscaled CMIP5 projections (NASA-NEX) for RCP4.5 and RCP8.5 and the full range of climate models. Also adaptation strategies were refined.
Results show that the key climate risks includes a projected increase in mean annual temperature for all five waste water treatment plants and hottest day temperature are in the same range. Those higher temperatures might negatively affect operations and efficiencies of the plants. Mean annual precipitation is projected to increase for all five treatment plants. Potential risk of flooding of the infrastructure or large influx of storm water is determined by wettest day precipitation. An increase in wettest day precipitation is projected to be between 6% to 14%. Zhanatas and Stepnogorsk waste water treatment plants are most vulnerable regarding the risk of increased severity and frequency of floods.
Adaptation interventions to those projected climate changes are explored in the initial environmental examination (IEE) and will be further developed during the detailed design phase. The following broad adaptation options are foreseen:
selection of sites less prone to flooding for the two new WWTP,
flood protection of the three WWTP to be rehabilitated,
selection of sewerage technology that will function under higher temperatures,
awareness raising of staff, and
monitoring to avoid sewer overflows during storm events.
The Asian Development Bank is supporting the Government of Indonesia in developing its water infrastructure. Impact of climate change and potential adaptation to those changes are evaluated. One component of the project is to assess water availability for all Indonesian catchments currently and under changing climate. FutureWater has supported the program by developing a climate risk screening approach to rapidly assess current water resource availability and the impact of climate change on this.
Various rapid assessment assessments have been tested and the Turc implementation of the Budyko framework has been proven to be effective for basins in Indonesia. ERA5 past climate and NASA-NEX GDDP climate projections have been applied for all basins in Indonesia. Results show that all Indonesian basins are likely to see an increase in runoff over the coming century. However, variability in runoff will increase, with more extreme dry and wet periods. This will have implications for water management planning and climate related hazards such as more prolonged droughts and higher risks of flooding.
Hydropower is essential to fulfill future energy demands. Water scarcity is likely to increase due to climate change and aase in water demand. Therefore, Climate Risk Assessments are required before large investments in new and large hydropower stations (>100 MW) are made. Small hydropower (1 – 20 MW) does not require these Climate Risk Assessments yet, but this will eventually happen in the future. Investors are highly interested in the profitability of these small hydropower stations, especially because of the uncertainty caused by future climate change. Current methods for Climate Risk Assessments (CRA) are however still too costly for these small-hydro projects because they are very labor intensive and require specific knowledge.
FutureWater has carried out a feasibility study to assess the possibilities for the development of a “Small-Hydro Climate Risk Assessment tool” (SH-CRA) that can make CRA’s for small-hydro projects cost effective. The starting point of this project to develop the SH-CRA is the recent change in the approach to CRA’s: until a few years ago, these were based purely on climate models, also known as the “Top-down” approach. Nowadays however, investors require a more pragmatic approach in which climate risks are balanced against other risks and presented in a clear way. This new “Bottom-up” approach makes it possible for small-hydro projects to include climate risks in the investment decision.
This feasibility project has therefore investigated whether the “bottom-up” climate risk analysis approach can make it possible to develop such a SH-CRA solution, based on a combination of literature research, an inventory of available technology and potential partners, and competition analysis.
This course on hydrology and water allocation modelling is organized for the Kenya Water Resources Authority (WRA) and funded by the Blue Deal program of the Netherlands. The first four-week course block introduces the participants to the main concepts in hydrology, hydrological modelling and data collection, including remote sensing. Exercises are provided on water balances, land use datasets, extraction of rainfall data from remote sensing datasets, among others.
The 5-week second block of the training is on the use of a water resources system model (WEAP) for water allocation. Participants will learn how to develop, run and evaluate a model, including scenario analysis, water balances, assess impact of changing priorities among users, and impacts on water shortage. The learned skills will be used afterwards for establishing a Water Allocation Plan for an important sub-basin of the Upper Tana river, providing water to many livelihoods in the catchment itself, but also to Nairobi city.
Does drip irrigation lead to real water savings? What is the impact of changing the irrigation efficiency on basin scale water flows? How can water managers implement water savings technologies that lead to real water savings? FutureWater provided eTrainings to water managers from Vietnam and Malaysia about these subjects. A training manual and several supporting material such as presentations, videos, reports and papers were provided to train the water managers on water productivity and real water savings in agricultural systems.
FutureWater with the support of FAO-RAP (Regional Office for Asia and the Pacific) provided eTrainings on Real Water Savings to water managers in Vietnam and Malaysia. The training package developed under the on-going FAO project was implemented. Interactive video sessions, weekly activities, and educational videos were provided through the FutureWater Moodle School platform.
Over 30 participants from Malaysia, and over 25 participants from Vietnam successfully followed the eTraining on real water savings in agricultural systems. Participants learned about the impact of field scale crop-water interventions on basin scale water savings and learned how to determine the water productivity and real water savings with the REWAS tool.
“Thank you for conducting this very useful course. This course really opened my eyes on the important of water security in hydrology cycle. I learnt so many new things and new elements in calculating the water saving in water budget”
“Learning sessions are great, and the information/technical approaches shared from the speakers are very useful. Extremely appreciate it. Thanks”
“I am the leader of some academic projects about the establishment of water-saving irrigation process and after this course am going to apply the knowledge to my projects.”
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.
Another option is to access the data through Google Earth Engine. The HiHydroSoil v2.0 data is available on Google Earth Engine using the following link.
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.