The Asian Development Bank (ADB) identified the need for a detailed Climate Risk and Adaptation (CRA) assessment for the DKSHEP to understand the risk posed by the changing climate on hydropower and the environment. Therefore, the objective of this Climate Risk and Adaptation Assessment (CRA) is to assess the vulnerability of the project components to future climate change and recommend adaptation options for climate-proofing of the design. Therefore, this CRA covers both type 2 adaptation, related to system change and resilience building, as well as type 1 adaptation related to climate-proofing This CRA assesses historic trends in relevant climate-related variables and analyses climate projections for the DKSHEP. Based on these projections, an assessment of the current and future climate risks and vulnerabilities relating to the proposed project activities will be outlined. Finally, recommendations will be presented for climate adaptation measures.
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.
This glacio-hydrological assessment delivered river flow estimates for three intake locations of hydropower plants in Nakra, Georgia. The assessment included the calibration of a hydrological model, daily river discharge simulation for an extended period of record (1980-2015), and the derived flow duration curves and statistics to evaluate the flow operation of hydropower turbines. The daily flow calculations for the three sites (HPP1, HPP2 and HPP3) can be used in the hydropower calculations, and to assess the overall profitability of the planned investment, considering energy prices, demand, etc.
In the Nakra basin, glacier and snow model parameters were tuned to obtain accurate river flow predictions. Also, the latest technology of remote sensing data on precipitation and temperature (product ERA5) was used to reduce potential errors in flow estimates. Even though these flow estimates are useful for short-medium term evaluations on profitability of the planned investment, climate change pose a challenge for long-term evaluations. Glacier-fed and snow-fed systems, such as the Nakra basin, are driven by a complex combination of temperature and precipitation. Due to future increasing temperature, and changing rainfall patterns, glacier and snow cover dynamics change under climate warming. This can lead to shifts in the flows, like a reduction in lowest flows, and higher discharge peaks when the hydrological system shifts towards a more rainfall-runoff influenced system (Lutz et al. 2016). This can jeopardize the sustainability of the project on the long-term. To provide a better understanding of future river flows, it is recommended to develop a climate change impact assessment.
This hydrological assessment delivered river flow estimates for an intake location of a potential hydropower plant in the Lukhra river, Georgia. The assessment included a tuning of a hydrological model based on knowledge of neighboring basins, daily river discharge simulation for an extended period of record (1989-2019), and the derived flow duration curves and statistics to evaluate the flow operation of hydropower turbines. The daily flow calculations for the site can be used in the hydropower calculations, and to assess the overall profitability of the planned investment, considering energy prices, demand, etc.
In the Lukhra basin, snow model parameters were tuned to obtain accurate river flow predictions. Also, the latest technology of remote sensing data on precipitation and temperature (product ERA5-Land) was used to reduce potential errors in flow estimates. Even though these flow estimates are useful for short-medium term evaluations on profitability of the planned investment, climate change pose a challenge for long-term evaluations. Snow-fed systems, such as the Lukhra basin, are driven by a complex combination of temperature and precipitation. Due to future increasing temperature, and changing rainfall patterns, snow cover dynamics change under climate warming. This can lead to shifts in the flows, like a reduction in lowest flows, and higher discharge peaks when the hydrological system shifts towards a more rainfall-runoff influenced system (Lutz et al. 2016). This can jeopardize the sustainability of the project on the long-term. To provide a better understanding of future river flows, it is recommended to develop a climate change impact assessment.
Scientists from around the world have assessed the planet’s 78 mountain glacier–based water systems and, for the first time, ranked them in order of their importance to adjacent lowland communities, as well as their vulnerability to future environmental and socioeconomic changes. These systems, known as mountain water towers, store and transport water via glaciers, snow packs, lakes and streams, thereby supplying invaluable water resources to 1.9 billion people globally—roughly a quarter of the world’s population.
The research, published in the prestigious scientific journal Nature, provides evidence that global water towers are at risk, in many cases critically, due to the threats of climate change, growing populations, mismanagement of water resources, and other geopolitical factors. Further, the authors conclude that it is essential to develop international, mountain-specific conservation and climate change adaptation policies and strategies to safeguard both ecosystems and people downstream.
Globally, the most relied-upon mountain system is the Indus water tower in Asia, according to their research. The Indus water tower—made up of vast areas of the Himalayan mountain range and covering portions of Afghanistan, China, India and Pakistan—is also one of the most vulnerable. High-ranking water tower systems on other continents are the southern Andes, the Rocky Mountains and the European Alps.
To determine the importance of these 78 water towers, researchers analyzed the various factors that determine how reliant downstream communities are upon the supplies of water from these systems. They also assessed each water tower to determine the vulnerability of the water resources, as well as the people and ecosystems that depend on them, based on predictions of future climate and socioeconomic changes.
Of the 78 global water towers identified, the following are the five most relied-upon systems by continent:
- Asia: Indus, Tarim, Amu Darya, Syr Darya, Ganges-Brahmaputra
- Europe: Rhône, Po, Rhine, Black Sea North Coast, Caspian Sea Coast
- North America: Fraser, Columbia and Northwest United States, Pacific and Arctic Coast, Saskatchewan-Nelson, North America-Colorado
- South America: South Chile, South Argentina, Negro, La Puna region, North Chile
The study, which was authored by 32 scientists from around the world, was led by Prof. Walter Immerzeel (Utrecht University) and Dr. Arthur Lutz (Utrecht University and FutureWater), longtime researchers of water and climate change in high mountain Asia.
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
There is so far no accepted general methodology for assessing the significance of climate risks relative to other risks to water resources projects that the World Bank Group supports and invests in. The Independent Evaluation Group (IEG) in its 2012 report entitled “”Adapting to Climate Change: Assessing the World Bank Group Experience””, found that “climate models have been more useful for setting context than for informing investment and policy choices” and “they often have relatively low value-added for many of the applications described” and that “although hydropower has a long tradition of dealing with climate variability, the Bank Group lacks guidance on appropriate methods for incorporating climate change considerations into project design and appraisal.”
The book “”Confronting Climate Uncertainty in Water Resources Planning and Project Design: The Decision Tree Framework”” by Casey Brown and Patrick Ray was published in 2015. Since then, the Decision Tree Framework (DTF) has been applied to Bank projects facing diverse situations in six pilots covering hydropower, water supply, and irrigation with funding from the Water Partnership Program (WPP). This effort is continuing in two additional pilots with financing from the Korea Green Growth Trust Fund (KGGTF) targeting the resilience component of water security of flood protection and irrigation in the Nzoia River basin in Kenya and the application of the Hydropower Sector Climate Resilience Guidelines (which in turn are based on the DTF) to the Kabeli-A hydroelectric project in Nepal.
Together with partners, FutureWater applies the following bottom-up methodology DTF to the Nzoia irrigation project in Kenya and the Nepal’s Kabeli-A run-of-river hydroelectric project study. FutureWater´s main tasks are assessing risks using crop modeling and water allocation modeling of the Nzoia case study, and hydrological modeling of the high-mountain region in Nepal.
HI-AWARE is one of four consortia of the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA). HI-AWARE aims to contribute to enhanced adaptive capacities and climate resilience of the poor and vulnerable women, men, and children living in the mountains and flood plains of the Indus, Ganges, and Brahmaputra river basins through the development of robust evidence to inform people-centred and gender-inclusive climate change adaptation policies and practices for improving livelihoods.
- Generate scientific knowledge on the biophysical, socio-economic, gender, and governance conditions and drivers leading to vulnerability to climate change;
- Develop robust evidence to improve understanding of the potential of adaptation approaches and practices, with an explicit focus on gender and livelihoods;
- Develop stakeholder-driven adaptation pathways based on the up- and out-scaling of institutional and on-the-ground adaptation innovations;
- Promote the uptake of knowledge and adaptation practices at various scales by decision-makers and citizens; and
- Strengthening the interdisciplinary expertise of researchers, students, and related science-policy-stakeholder networks.
HI-AWARE will focus its activities in 12 sites, representing a range of climates, altitudes, hydro-meteorological conditions, rural-urban continuum, and socio-economic contexts in four study basins: the Indus, Upper Ganga, Gandaki and Teesta. It will conduct research in these sites, including modeling, scoping studies, action research, and randomized control trials. It will test promising adaptation measures in observatory labs at the sites for out-scaling and up-scaling. It will also conduct participatory monitoring and assessment of climate change impacts and adaptation practices to identify:
- Critical moments – times of the year when specific climate risks are highest and when specific adaptation interventions are most effective;
- Adaptation turning points – adaptation turning points – when current policies and management practices are no longer effective and alternative strategies have to be considered; and
- Adaptation pathways – sequences of policy actions that respond to adaptation turning points by addressing both short term responses to climate change and longer term planning.
FutureWater’s main tasks focus on biophysical drivers and conditions leading to vulnerability to climate change. Key tasks are to:
- Develop detailed mountain specific and basin scale climate change scenarios;
- Improve cryosphere-hydrological modeling to assess significant shifts in flow regimes with an aim to develop water demand and supply scenarios as well as improve and apply water-food impact models; and
- Better understand climate change impacts on extremes (heat, floods, drought),and quantify these extremes from climate models and subsequently impact models.
The climate, cryosphere and hydrology of the Hindu-Kush Himalaya (HKH) region have been changing in the past, and will continue to change in the future; warming of the climate system is unequivocal. The atmosphere and ocean have warmed, the amounts of snow and ice have diminished, sea level has risen, and the concentrations of greenhouse gases have increased. The Himalayan region has the third largest deposit of ice and snow in the world, after Antarctica and the Arctic and might be exceptionally vulnerable. There is good agreement among Global Climate Models (GCM) on future temperature trends in the region, but projections of future precipitation patterns differ widely. As a consequence, the demand for increased knowledge about future climate change is still high. A main focus has been given to temperature increases and changes to the hydrological cycle with the tendency that wetter regions mainly will become wetter and drier regions will become drier. Growing scientific knowledge and recent weather events show that extremes related to hydrological changes can be substantial though and the geographical and time-wise resolution of predicted changes is still low in many areas.
Energy is one of the major drivers of changes in the HKH region. The region has a high potential for hydropower due to abundance of water in conjunction with verticality of landscape. However, the changing climate and hydrological regime might pose a risk to hydropower development in the future. It has become imperative for hydropower developers to have a good understanding about the changes in the hydrological cycle and its uncertainty. Also, changing probabilities and magnitudes of extreme events can put additional risk on hydropower infrastructures.
The overall objective of this project is therefore to improve the understanding of the expected impacts of climate change on water availability in the context of potential hydropower development in the Tamakoshi River Basin. Specifically, the project aims to:
- Understand the current baseline hydrological regime of the Tamakoshi River Basin
- Develop detailed climate change projections for the 21st century, including factors relevant for hydropower development
- To understand the future hydrology and its potential impact on the hydropower potential
Global warming is considered as one of the major threats for the world’s population and coping with it may be one of the largest challenges for this century. Multiple attempts to streamline global policy on climate change mitigation have been made over the past decades, and the “Paris Agreement” which was signed at the 21st Conference of the Parties in 2015 is considered a major breakthrough in formulating adequate measures to tackle climate change. Governments agreed on “a long-term goal of keeping the increase in global average temperature to well below 2°C above pre-industrial levels”, and “to aim to limit the increase to 1.5°C, since this would significantly reduce risks and the impacts of climate change”. In response to this development, the Intergovernmental Panel on Climate Change (IPCC) will publish a Special Report on global warming of 1.5 °C above pre-industrial levels, and is gathering scientific content for this report.
However, scientific evidence of the impacts of a 1.5 ˚C global warming, and more importantly, the differences in impacts between a 1.5 ˚C and a 2 ˚C global warming, is lacking. Therefore, the scientific community has been mobilized to provide this scientific evidence as input to the special report. FutureWater leads a regional assessment quantifying the impacts of a 1.5 ˚C versus a 2 ˚C global warming for a major global climate change hotspot: the Indus, Ganges and Brahmaputra river basins in South Asia.