Features
Revival of Innovative systems for reservoir operation and flood forecasting
Most reservoirs in Sri Lanka are agriculture and hydropower dominated. Reservoir operators are often unwilling to acknowledge the flood detention capability of major reservoirs during the onset of monsoons. Deviating from the traditional priority for food production and hydropower development, it is time to reorient the operational approach of major reservoir operators under extreme events, where flood control becomes a vital function. While admitting that total elimination of flood impacts is not technically feasible, the impacts can be reduced by the efficient operation of reservoirs and effective early warning systems.
At the very outset, I would like to mention that the contents in this article are based on my personal experience in the Irrigation Department (ID), and there is no intention to disrespect their contributions during the most recent flood event. The objective is to improve the efficiency and the capability of the human resources available in the ID and other relevant institutions to better respond to future flood disasters.
Reservoir operation and flood forecasting
Reservoir management is an important aspect of water management, as water storage and release are crucial for managing floods and droughts. Several numerical models and guidelines have already been introduced to the ID and MASL during numerous training programs for reservoir management and forecasting of inflows.
This article highlights expectations of engineering professionals and discusses a framework for predicting reservoir inflows from its catchment by using the measured rainfall during the previous few days. Crucially, opening the reservoir gates must be timed to match the estimated inflow.
Similarly, rainfall-runoff relationships had been demonstrated and necessary training was provided to selected engineers during the past to make a quantitative (not qualitative) forecast of river water levels at downstream locations, based on the observed rainfall in the upstream catchment.
Already available information and technology
Furthermore, this article highlights the already available technology and addresses certain misinformation provided to the mass media by some professionals during recent discussions. These discrepancies are primarily related to the opening of reservoir gates and flood forecasting.
A. Assessing the 2025 Flood Magnitude
It is not logically sound to claim that the 2025 flood in the Kelani basin was the highest flood experienced historically. While, in terms of flood damage, it was probably the worst flood experienced due to rapid urbanisation in the lower Kelani basin. We have experienced many critical and dangerous floods in the past by hydraulic definition in the Kelani Ganga.
Historical water levels recorded at the Nagalagam Street gauge illustrate this point: (See Table)

In view of the above data, the highest water level recorded at the Nagalagam river gauge during the 2025 flood was 8.5 ft. This was a major flood, but not a critical or dangerous flood by definition.
B. Adherence to Reservoir Standing Orders
According to the standing orders of the ID, water levels in major reservoirs must be kept below the Full Supply Level (FSL) during the Northeast (NE) monsoon season (from October to March) until the end of December. According to my recollection, this operational height is 1.0m below the FSL. Therefore, maintaining a reservoir below the FSL during this period is not a new practice; it explicitly serves the dual purpose of dam safety and flood detention for the downstream areas.
C. Gate Operation Methodology
When a reservoir is reaching the FSL, the daily operation of gates is expected to be managed so that the inflow of water from the catchment rainfall is equal to the outflow through the spill gates (Inflow * Outflow). The methodology for estimating both the catchment inflow and the gate outflow is based on very simple formulas, which have been previously taught to the technical officers and engineers engaged in field operations.
D. Advanced Forecasting Capabilities
Sophisticated numerical models for rainfall-runoff relationships are available and known to subject specialists of the ID through the training provided over the last 40 years. For major reservoirs, the engineers in charge of field operations could be trained to estimate daily inflows to the reservoirs, especially in cases where the simple formulas mentioned in section C are not adequate.
Design concept of reservoir flood gates
Regarding the provision of reservoir spill gates, one must be mindful of the underlying principles of probability. Major reservoir spillways are designed for very high return periods, such as 1,000 and 10,000 years. If the spillway gates are opened fully when a reservoir is at full capacity, this can produce an artificial flood of a very large magnitude. A flood of such magnitude cannot occur under natural conditions. Therefore, reservoir operators must be mindful in this regard to avoid any artificial flood creation.
In reality, reservoir spillways are often designed for the sole safety of the reservoir structure, often compromising the safety of the downstream population. This design concept was promoted by foreign funding agencies in recent times to safeguard their investment for dams. Consequently, the discharge capacities of these spill gates significantly exceed the natural carrying capacity of river downstream. This design criterion requires serious consideration by future designers and policymakers.
Undesirable gate openings
The public often asks a basic question regarding flood hazards in a river system with reservoirs: Why is flooding more prominent downstream of reservoirs compared to the period before they were built? This concern is justifiable based on the following incidents.
For instance, why do Magama in Tissamaharama face flood threats after the construction of the massive Kirindi Oya reservoir? Similarly, why does Ambalantota flood after the construction of Udawalawe Reservoir? Furthermore, why is Molkawa in the Kalutara District area getting flooded so often after the construction of Kukule reservoir?
These situations exist in several other river basins too. Engineers must therefore be mindful of the need to strictly control the operation of reservoir gates by their field staff. The actual field situation can sometimes deviate significantly from the theoretical technology discussed in air- conditioned rooms. Due to this potential discrepancy, it is necessary to examine whether gate operators are strictly adhering to the operational guidelines, as gate operation currently relies too much on the discretion of the operator at the site.
In 2003, there was severe flood damage below Kaudulla reservoir in Polonnaruwa. I was instructed to find out the reason for this flooding by the then Minister of Mahaweli & Irrigation. During my field inspection, I found that the daily rainfall in the area had not exceeded 100mm, yet the downstream flood damage was unbelievable. I was certain that 100mm of rainfall could not create a flood of that magnitude. Further examination suggested that this was not a natural flood, but was created by the excessive release of water from the radial gates of the Kaudulla reservoir. There are several other similar incidents and those are beyond the space available for this document.
Revival of Innovative systems
It may be surprising to note the high quality of real-time flood forecasts issued by the ID for the Kelani River in the late 1980s and early 1990s. This was achieved despite the lack of modern computational skills and advanced communication systems. At that time, for instance, mobile phones were non-existent. Forecasts were issued primarily via the Sri Lanka Broadcasting Corporation (SLBC )in news bulletins.
A few examples of flood warning issued during the past available in official records of the ID are given below:
Forecast issued at 6th June 1989 at 5.00 PM
“The water level at Nagalagam street river gauge was at 9 ft 0 inches at 5.0 PM. This is 1.0 ft above the major flood level. Water level is likely to rise further, but not likely to endanger the Kelani flood bund”.
Eng. NGR. De Silva, Director Irrigation
Forecast issued at 30th Oct 1991 at 6.00 PM
“The water level at Nagalagam street river gauge was at 3 ft 3 inches at 6.0 PM. The water level likely to rise further during the next 24 hours, but will not exceed 5.0 ft.”
Eng. K.Yoganathan, Director Irrigation
Forecast issued at 6th June 1993 at 10.00 AM:
“The water level at Nagalagam street river gauge was at 4 ft 6 inches last night. The water level will not go above 5.0 ft within the next 24 hours.”
Eng. K.Yoganathan, Director Irrigation
Forecast issued at 8th June 1993 at 9.00 AM:
“The water level at Nagalagam Street River gauge was at 4 ft 6 inches at 7.00 AM. The water level will remain above 4.0 ft for the next 12 hours and this level will go below 4.0 ft in the night.
The water level is not expected to rise within next 24 hours.”
Eng.WNM Boteju,Director of Irrigation
Conclusion
Had this technology been consistently and effectively adopted, we could have significantly reduced the number of deaths and mitigated the unprecedented damage to our national infrastructure. The critical question then arises: Why is this known, established flood forecasting technology, already demonstrated by Sri Lankan authorities, not being put into practice during recent disasters? I will leave the answer to this question for social scientists, administrators and politicians in Sri Lanka.
Features
Digital transformation in the Global South
Understanding Sri Lanka through the India AI Impact Summit 2026
Artificial Intelligence (AI) has rapidly moved from being a specialised technological field into a major social force that shapes economies, cultures, governance, and everyday human life. The India AI Impact Summit 2026, held in New Delhi, symbolised a significant moment for the Global South, especially South Asia, because it demonstrated that artificial intelligence is no longer limited to advanced Western economies but can also become a development tool for emerging societies. The summit gathered governments, researchers, technology companies, and international organisations to discuss how AI can support social welfare, public services, and economic growth. Its central message was that artificial intelligence should be human centred and socially useful. Instead of focusing only on powerful computing systems, the summit emphasised affordable technologies, open collaboration, and ethical responsibility so that ordinary citizens can benefit from digital transformation. For South Asia, where large populations live in rural areas and resources are unevenly distributed, this idea is particularly important.
People friendly AI
One of the most important concepts promoted at the summit was the idea of “people friendly AI.” This means that artificial intelligence should be accessible, understandable, and helpful in daily activities. In South Asia, language diversity and economic inequality often prevent people from using advanced technology. Therefore, systems designed for local languages, and smartphones, play a crucial role. When a farmer can speak to a digital assistant in Sinhala, Tamil, or Hindi and receive advice about weather patterns or crop diseases, technology becomes practical rather than distant. Similarly, voice based interfaces allow elderly people and individuals with limited literacy to use digital services. Affordable mobile based AI tools reduce the digital divide between urban and rural populations. As a result, artificial intelligence stops being an elite instrument and becomes a social assistant that supports ordinary life.
Transformation in education sector
The influence of this transformation is visible in education. AI based learning platforms can analyse student performance and provide personalised lessons. Instead of all students following the same pace, weaker learners receive additional practice while advanced learners explore deeper material. Teachers are able to focus on mentoring and explanation rather than repetitive instruction. In many South Asian societies, including Sri Lanka, education has long depended on memorisation and private tuition classes. AI tutoring systems could reduce educational inequality by giving rural students access to learning resources, similar to those available in cities. A student who struggles with mathematics, for example, can practice step by step exercises automatically generated according to individual mistakes. This reduces pressure, improves confidence, and gradually changes the educational culture from rote learning toward understanding and problem solving.
Healthcare is another area where AI is becoming people friendly. Many rural communities face shortages of doctors and medical facilities. AI-assisted diagnostic tools can analyse symptoms, or medical images, and provide early warnings about diseases. Patients can receive preliminary advice through mobile applications, which helps them decide whether hospital visits are necessary. This reduces overcrowding in hospitals and saves travel costs. Public health authorities can also analyse large datasets to monitor disease outbreaks and allocate resources efficiently. In this way, artificial intelligence supports not only individual patients but also the entire health system.
Agriculture, which remains a primary livelihood for millions in South Asia, is also undergoing transformation. Farmers traditionally rely on seasonal experience, but climate change has made weather patterns unpredictable. AI systems that analyse rainfall data, soil conditions, and satellite images can predict crop performance and recommend irrigation schedules. Early detection of plant diseases prevents large-scale crop losses. For a small farmer, accurate information can mean the difference between profit and debt. Thus, AI directly influences economic stability at the household level.
Employment and communication reshaped
Artificial intelligence is also reshaping employment and communication. Routine clerical and repetitive tasks are increasingly automated, while demand grows for digital skills, such as data management, programming, and online services. Many young people in South Asia are beginning to participate in remote work, freelancing, and digital entrepreneurship. AI translation tools allow communication across languages, enabling businesses to reach international customers. Knowledge becomes more accessible because information can be summarised, translated, and explained instantly. This leads to a broader sociological shift: authority moves from tradition and hierarchy toward information and analytical reasoning. Individuals rely more on data when making decisions about education, finance, and career planning.
Impact on Sri Lanka
The impact on Sri Lanka is especially significant because the country shares many social and economic conditions with India and often adopts regional technological innovations. Sri Lanka has already begun integrating artificial intelligence into education, agriculture, and public administration. In schools and universities, AI learning tools may reduce the heavy dependence on private tuition and help students in rural districts receive equal academic support. In agriculture, predictive analytics can help farmers manage climate variability, improving productivity and food security. In public administration, digital systems can speed up document processing, licensing, and public service delivery. Smart transportation systems may reduce congestion in urban areas, saving time and fuel.
Economic opportunities are also expanding. Sri Lanka’s service based economy and IT outsourcing sector can benefit from increased global demand for digital skills. AI-assisted software development, data annotation, and online service platforms can create new employment pathways, especially for educated youth. Small and medium entrepreneurs can use AI tools to design products, manage finances, and market services internationally at low cost. In tourism, personalised digital assistants and recommendation systems can improve visitor experiences and help small businesses connect with travellers directly.
Digital inequality
However, the integration of artificial intelligence also raises serious concerns. Digital inequality may widen if only educated urban populations gain access to technological skills. Some routine jobs may disappear, requiring workers to retrain. There are also risks of misinformation, surveillance, and misuse of personal data. Ethical regulation and transparency are, therefore, essential. Governments must develop policies that protect privacy, ensure accountability, and encourage responsible innovation. Public awareness and digital literacy programmes are necessary so that citizens understand both the benefits and limitations of AI systems.
Beyond economics and services, AI is gradually influencing social relationships and cultural patterns. South Asian societies have traditionally relied on hierarchy and personal authority, but data-driven decision making changes this structure. Agricultural planning may depend on predictive models rather than ancestral practice, and educational evaluation may rely on learning analytics instead of examination rankings alone. This does not eliminate human judgment, but it alters its basis. Societies increasingly value analytical thinking, creativity, and adaptability. Educational systems must, therefore, move beyond memorisation toward critical thinking and interdisciplinary learning.
AI contribution to national development
In Sri Lanka, these changes may contribute to national development if implemented carefully. AI-supported financial monitoring can improve transparency and reduce corruption. Smart infrastructure systems can help manage transportation and urban planning. Communication technologies can support interaction among Sinhala, Tamil, and English speakers, promoting social inclusion in a multilingual society. Assistive technologies can improve accessibility for persons with disabilities, enabling broader participation in education and employment. These developments show that artificial intelligence is not merely a technological innovation but a social instrument capable of strengthening equality when guided by ethical policy.
Symbolic shift
Ultimately, the India AI Impact Summit 2026 represents a symbolic shift in the global technological landscape. It indicates that developing nations are beginning to shape the future of artificial intelligence according to their own social needs rather than passively importing technology. For South Asia and Sri Lanka, the challenge is not whether AI will arrive but how it will be used. If education systems prepare citizens, if governments establish responsible regulations, and if access remains inclusive, AI can become a partner in development rather than a source of inequality. The future will likely involve close collaboration between humans and intelligent systems, where machines assist decision making while human values guide outcomes. In this sense, artificial intelligence does not replace human society, but transforms it, offering Sri Lanka an opportunity to build a more knowledge based, efficient, and equitable social order in the decades ahead.
by Milinda Mayadunna
Features
Governance cannot be a postscript to economics
The visit by IMF Managing Director Kristalina Georgieva to Sri Lanka was widely described as a success for the government. She was fulsome in her praise of the country and its developmental potential. The grounds for this success and collaborative spirit go back to the inception of the agreement signed in March 2023 in the aftermath of Sri Lanka’s declaration of international bankruptcy. The IMF came in to fulfil its role as lender of last resort. The government of the day bit the bullet. It imposed unpopular policies on the people, most notably significant tax increases. At a moment when the country had run out of foreign exchange, defaulted on its debt, and faced shortages of fuel, medicine and food, the IMF programme restored a measure of confidence both within the country and internationally.
Since 1965 Sri Lanka has entered into agreements with the IMF on 16 occasions none of which were taken to their full term. The present agreement is the 17th agreement . IMF agreements have traditionally been focused on economic restructuring. Invariably the terms of agreement have been harsh on the people, with priority being given to ensure the debtor country pays its loans back to the IMF. Fiscal consolidation, tax increases, subsidy reductions and structural reforms have been the recurring features. The social and political costs have often been high. Governments have lost popularity and sometimes fallen before programmes were completed. The IMF has learned from experience across the world that macroeconomic reform without social protection can generate backlash, instability and policy reversals.
The experience of countries such as Greece, Ireland and Portugal in dealing with the IMF during the eurozone crisis demonstrated the political and social costs of austerity, even though those economies later stabilised and returned to growth. The evolution of IMF policies has ensured that there are two special features in the present agreement. The first is that the IMF has included a safety net of social welfare spending to mitigate the impact of the austerity measures on the poorest sections of the population. No country can hope to grow at 7 or 8 percent per annum when a third of its people are struggling to survive. Poverty alleviation measures in the Aswesuma programme, developed with the agreement of the IMF, are key to mitigating the worst impacts of the rising cost of living and limited opportunities for employment.
Governance Included
The second important feature of the IMF agreement is the inclusion of governance criteria to be implemented alongside the economic reforms. It goes to the heart of why Sri Lanka has had to return to the IMF repeatedly. Economic mismanagement did not take place in a vacuum. It was enabled by weak institutions, politicised decision making, non-transparent procurement, and the erosion of checks and balances. In its economic reform process, the IMF has included an assessment of governance related issues to accompany the economic restructuring process. At the top of this list is tackling the problem of corruption by means of publicising contracts, ensuring open solicitation of tenders, and strengthening financial accountability mechanisms.
The IMF also encouraged a civil society diagnostic study and engaged with civil society organisations regularly. The civil society analysis of governance issues which was promoted by Verite Research and facilitated by Transparency International was wider in scope than those identified in the IMF’s own diagnostic. It pointed to systemic weaknesses that go beyond narrow fiscal concerns. The civil society diagnostic study included issues of social justice such as the inequitable impact of targeting EPF and ETF funds of workers for restructuring and the need to repeal abuse prone laws such as the Prevention of Terrorism Act and the Online Safety Act. When workers see their retirement savings restructured without adequate consultation, confidence in policy making erodes. When laws are perceived to be instruments of arbitrary power, social cohesion weakens.
During a meeting between the IMF Managing Director Georgeiva and civil society members last week, there was discussion on the implementation of those governance measures in which she spoke in a manner that was not alien to the civil society representatives. Significantly, the civil society diagnostic report also referred to the ethnic conflict and the breakdown of interethnic relations that led to three decades of deadly war, causing severe economic losses to the country. This was also discussed at the meeting. Governance is not only about accounting standards and procurement rules. It is about social justice, equality before the law, and political representation. On this issue the government has more to do. Ethnic and religious minorities find themselves inadequately represented in high level government committees. The provincial council system that ensured ethnic and minority representation at the provincial level continues to be in abeyance.
Beyond IMF
The significance of addressing governance issues is not only relevant to the IMF agreement. It is also important in accessing tariff concessions from the European Union. The GSP Plus tariff concession given by the EU enables Sri Lankan exports to be sold at lower prices and win markets in Europe. For an export dependent economy, this is critical. Loss of such concessions would directly affect employment in key sectors such as apparel. The government needs to address longstanding EU concerns about the protection of human rights and labour rights in the country. The EU has, for several years, linked the continuation of GSP Plus to compliance with international conventions. This includes the condition that the Prevention of Terrorism Act (PTA) be brought into line with international standards. The government’s alternative in the form of the draft Protection of the State from Terrorism Act (PTSA) is less abusive on paper but is wider in scope and retains the core features of the PTA.
Governance and social justice factors cannot be ignored or downplayed in the pursuit of economic development. If Sri Lanka is to break out of its cycle of crisis and bailout, it must internalise the fact that good governance which promotes social justice and more fairly distributes the costs and fruits of development is the foundation on which durable economic growth is built. Without it, stabilisation will remain fragile, poverty will remain high, and the promise of 7 to 8 percent growth will remain elusive. The implementation of governance reforms will also have a positive effect through the creative mechanism of governance linked bonds, an innovation of the present IMF agreement.
The Sri Lankan think tank Verité Research played an important role in the development of governance linked bonds. They reduce the rate of interest payable by the government on outstanding debt on the basis that better governance leads to a reduction in risk for those who have lent their money to Sri Lanka. This is a direct financial reward for governance reform. The present IMF programme offers an opportunity not only to stabilise the economy but to strengthen the institutions that underpin it. That opportunity needs to be taken. Without it, the country cannot attract investment, expand exports and move towards shared prosperity and to a 7-8 percent growth rate that can lift the country out of its debt trap.
by Jehan Perera
Features
MISTER Band … in the spotlight
It’s a good sign, indeed, for the local scene, to see artistes, who have not been very much in the limelight, now making their presence felt, in a big way, and I’m glad to give them the publicity they deserve.
On 10th February we had Yellow Beatz in the spotlight and this week it’s MISTER Band.
This outfit is certainly not new to our scene; they have been around since 2012, under the leadership of Sithum Waidyarathne.
The seven energetic members who make up MISTER Band are:
Sithum Waidyarathne (leader/founder/saxophonist/guitarist and vocalist), Rangana Seram (bass guitarist), Vihanga Liyanage (vocalist), Ridmi Dissanayake (female vocalist), Nuwan Cristo (keyboardist/vocalist), Kasun Thennakoon (lead guitarist), and Nuwan Madushanka (drummer).
According to Sithum, their vision is to provide high quality entertainmen to those who engage their services.
“Thanks to our engaging performances and growing popularity, MISTER Band continues to be in high demand … at weddings, corporate events and dinner dances,” said Sithum.
They predominantly cover English and Sinhala music, as well as the most popular genres.
And the reviews that come their way, after a performance, are excellent, they say, and this is one of the bouquets they received:
It was a pleasure to have you at our wedding. Being avid music fans we wanted the best music, not just a big named band, and you guys acceded that expectations. Big thanks to Sithum for being very supportive, attentive and generous.
- Sithum Waidyarathne: Band leader and founder
- Ridmi Dissanayake: MISTER Band’s female vocalist
The best thing is the post feedback from all the guests. Normally we get mixed reviews but the whole crowd was impressed by you.
MISTER Band was one of our best choices for our wedding.
What is interesting is that for the past four consecutive years, this outfit has performed overseas, during New Year’s Eve, thereby taking their music to the international stage, as well.
The band has also produced a collection of original songs, with around six original tracks composed by the band leader, Sithum Waidyarathne, including ‘Suraganak Dutuwa,’ ‘Landuni,’ ‘Dili Dili Payana,’ ‘Hada Wedana,’ and ‘Nil Kandu Athare.’
Two more songs are set to be released this month: ‘Hitha Norida’ and ‘Premaye Hanguman.’
In addition to their original music, they have also created a strong online presence by performing and uploading over 50 cover songs and medleys to YouTube.
“We’re now planning to connect with an even wider audience by releasing more cover content very soon,” said Sithum, adding that they are also very active on social media, under the name Mister Band Official – on Facebook, Instagram, YouTube, and TikTok.
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