Our areas of expertise
Our expertise spans all water environments –
from rivers and reservoirs, to oceans and coastlines, to cities and factories.
We have a 50-year track record in developing and implementing solutions that meet real-life challenges in water environments worldwide.
So whether you need to save water, share it fairly, improve its quality, quantify its impact or manage its flow, we can help.
All our areas of expertise
DHI Business Applications
Unlock solutions to water challenges with access to real-time data and emerging technologies
From flood protection planning to mine water management, oil spill forecasting to weather adapted control strategies, DHI’s Business Applications support the full spectrum of your decision-making needs.
All Business Applications
Using Integrated Water Resources Management and water quality modelling
Millions of people in India depend on the Yamuna River for domestic, industrial and agricultural uses. During the non-monsoon (dry) season, however, stretches of the river become highly polluted and the water quality drops. To help the Government of India (GoI) improve the water quality during the dry season, we conducted an Integrated Water Resources Management (IWRM) and water quality modelling study. As part of the study, we also created a Decision Support System (DSS) that will enable authorities to restore the waterquality of the river based on sound information.
The 1,376 km long Yamuna River – the largest tributary of the Ganga River – is one of the most important and sacred rivers in India. The Ganga’s 360,220 km2 basin area spreads across seven states: Uttarakhand, Himachal Pradesh, Uttar Pradesh, Haryana, Delhi, Rajasthan and Madhya Pradesh. Approximately 12.4% India’s population depends on the Yamuna River basin.
Over the years, the river has experienced severe degradation of its water quality, primarily caused by:
The Yamuna River is in pristine condition and has a good water quality before it reaches the towns of Yamuna Nagar and Panipat, where it becomes highly polluted – mainly due to the discharge of untreated sewage. In Delhi, the Biochemical Oxygen Demand (BOD) ranges from 6 to 35 mg/l – with very low to zero Dissolved Oxygen (DO) and millions of coliform counts – in the 22 km stretch between Wazirabad and Okhla Barrage.
Downstream of the Okhla Barrage, the river receives partially treated sewage from East Delhi. This is the only water flowing into the river during the non-monsoon (dry) period, which causes increased pollution. Further downstream, the Yamuna also receives pollution from Mathura and Agra. The river remains polluted until it meets with the Chambal River, after which the Yamuna regains its good quality due to dilution. The low-flow and no-flow conditions prevalent over a considerable portion of the river and its tributaries have seriously impacted the Yamuna.
The discharge of domestic sewage, however, is the main cause of river’s pollution. There is a large gap between the amount of wastewater generated and the amount of wastewater treated in all the cities and urban centres throughout the basin. Increasing urbanisation is further widening this gap. Treating sewage before it is discharged is not enough to restore the ecological integrity of the river. A number of options need to be considered to find a solution, including:
Helping to restore water qualityTo help water officials regain the good water quality of the Yamuna River, we conducted an Integrated Water Resources Management (IWRM) and water quality modelling study. As part of this study, we developed a Decision Support System (DSS) that uses baseline information on:
For this project, we used MIKE HYDRO Basin, MIKE 11 (now MIKE HYDRO River) and MIKE ECO Lab (part of our MIKE Powered by DHI software) to develop the DSS. We used MIKE HYDRO Basin to describe the catchment’s hydrology, examine abstractive uses (such as irrigation and domesticwater use) and their return flows, and estimate pollution load. We used MIKE 11 and MIKE ECO Lab to conduct river hydrodynamic and water quality modelling.
Our DSS integrates the mathematical models of system processes with decision variables to arrive at certain conclusions or decisions. It can take into account different wastewater loading and water availability situations – as well as management options and future changes – to predict water quality scenarios. Utilising the DSS, we generated water quality scenarios based on different actions in order to:
The scenarios will enable government planners to make sound decisions in order to help restore the quality of the Yamuna River and manage its pollution levels.
Ability to plan and evaluate workable interventions, monitor conditions, and maintain good water quality throughout the Yamuna River Basin
Development of a future action plan to improve water quality based on the study result
National River Conservation Directorate (NRCD)
Ministry of Environment and Forests (MoEF)
Government of India (GoI)
MIKE HYDRO BasinMIKE 11 (now MIKE HYDRO River)MIKE ECO Lab
Do you have challenges? Then get in touch with our experts right here!