ASPIRED Project report on the water supply, water supply and demand balance of the Ararat Valley as well as the summary paper of the stakeholders’ recommendations and comments can be downloaded through the links below:
Report on Calculated Values of Water Balance and Water Supply and Demand Balance in the Ararat Valley Using Modeling of the Ararat Valley Groundwater Basin — https://bit.ly/3hi9pSL
Summary of the Stakeholders’ Comments and Recommendations(in Armenian) —https://bit.ly/33y43uG
Under the Project onDecommissioning of Artesian Well in Griboyedov Village
USAID/Armenia Advanced Science & Partnerships for Integrated Resource Development (ASPIRED) Project is soliciting bids for implementation of well sealing operation under the project Decommissioning of Artesian Well in Griboyedov Village.
Bidders are invited to submit their bids in accordance with the Instructions to Bidders below:
ASPIRED Project has completed a two-week training program on groundwater modeling designed for the representatives of the Ministry of Environment and academic institutions. The training helped the participants to learn and practice sophisticated software tools for groundwater modeling: ArcHydrgoGroundwater (AHGW), GMS and Modflow tools.
To understand the state of the Ararat Valley’s groundwater resources and resilience to changing conditions and external pressures, the ASPIRED Project designed the three-dimensional model and the groundwater flow model of the artesian basin aimed at supporting more informed and data-driven decision making on groundwater resources. The 3D model of the Ararat Artesian Basin presents the hydrogeologic structure and the water bearing potential of the basin, while the groundwater flow model provides data on the water pressure, water availability and balance, water movement directions in the water-bearing layers of the artesian basin. The model can help decision-makers to predict improvement in the pressure or level increases/drops in water bearing layers of the Artesian basin.
During the training participants had the opportunity to exercise 3D modeling using AHGW tools, creating and importing map data files, and creating and calibrating a MODFLOW model. The trainees practiced use of the Ararat Valley groundwater flow model by updating it with suggested new data on monitoring points, water abstraction points, groundwater abstraction and making relevant adjustments.
“During the training we designed a 3D model of three water-bearing layers of the Ararat Valley artesian basin based on the inventory data of 2016. […] In my opinion, the training was highly relevant and effective for the specialists of water sector agencies interested in the creation of similar models. By working with the models, inputting new data, and considering different scenarios, the specialists will be able to make projections on the impact of the groundwater abstraction increase or reduction and the possible positive or negative dynamics of the groundwater resources. I am sure, the application of these models will contribute to a more sustainable management of groundwater resources.” – Harutyun Yeremyan from the Hydrometeorology and Monitoring Center of the Ministry of Environment shared his feedback at the end of the course.
At the end of the training, participants received a full package of information including the User Manual, the three-dimensional model and groundwater flow model of the Ararat Valley’s artesian basin as well as support data templates and data for simulation of the models. ASPIRED team will further assist participants to activate the modeling software and provide necessary guidance.
Development of a Supervisory Control and Data Acquisition software (SCADA system) for the automated online centralized management system in the fish farms of the Ararat Valley
USAID/Armenia Advanced Science & Partnerships for Integrated Resource Development (ASPIRED) Project is soliciting Bids for the Development of a software package (SCADA system) for the automated online centralized management system in the fish farms of the Ararat Valley. Bidders are invited to submit their Bids in accordance with the Instructions to Bidders provided below:
The training on the Method of Assessment of Self-Purification Capacity of Rivers is underway, organized by the ASPIRED Project for the staff of the Ministry of Environment and academic sector representatives who will be using the Method in their work.
During the 8-day course, the training participants will be introduced to the main – hydro-biological, hydro-chemical, and hydro-morphological components comprising the Method and the analysis conducted by the working group during the elaboration of the Method. The training focuses on the impact and the role of the hydro-biological, hydro-chemical and hydro-morphological parameters in the self-purification potential of the river. During the practical part, the participants will make assessments and test each component on the examples of Qasakh and Akhuryan rivers. It is anticipated that by the end of the course trainees will be able to master the Excel tool for the automatic assessment of the hydro-morphological, hydro-biological, and hydro-chemical data determining the rivers’ self-purification capacity and generate a single index from separate hydro-morphological, chemical and biological indexes.
The Method of Assessment of Self-Purification Capacity of Rivers was elaborated by the ASPIRED Project by the request of the Ministry of Environment and is included into the five-year Action Plan of the Government with a specific deadline for its implementation.
The method considers the water eco-system as a uniform body, the performance of which is affected by a complexity of factors. “Our methodology allows us assessing the impact of various contamination sources on rivers and the natural ability of rivers to neutralize this pollution. This methodology is universal as it gives an opportunity to assess not only the impact of settlements but also the influence of mining, or various industrial, agricultural pollution sources and how the eco-system overcomes this in a natural way,” – Liana Margaryan, ASPIRED Project Water Quality Expert.
For Supply of Materials and Implementation of Construction Work
UnderOptimization of Irrigation System in Griboyedov Village
USAID/Armenia Advanced Science & Partnerships for Integrated Resource Development (ASPIRED) Project is soliciting bids for construction of aqueducts and sluice chambers under the project on Optimization of Irrigation System in Griboyedov Village.
Bidders are invited to submit their bids in accordance with the Instructions to Bidders provided below.
ASPIRED will implement two projects in the community of Griboyedov in Armavir region of Armenia: optimization of irrigation system and permanent sealing of an unused artesian well.
Agriculture is the main occupation for the local residents. Farmers grow fruits, vegetables, cereals and other crops; have orchards and vineyards. The current project will improve the irrigation efficiency on the community farmlands by reducing water losses and return to cultivation 7 hectares of land.
ASPIRED will also seal one of the unused wells owned by the community. This self-emitting well has the outflow of 15 liters per second, water running into the nearby drainage network. About 475,000 cubic meters of groundwater will be saved per year due to the two projects implemented in the community by the ASPIRED Project. About 12 households will benefit from the project by gaining access to irrigation water and an opportunity to cultivate their land.
USAID/Armenia Advanced Science & Partnerships for Integrated Resource Development (ASPIRED) Project is soliciting Bids for the supply and installation of a PV kit under Renewable Energy for Fish-Farming project. Full IFB document can be downloaded via the link below:
USAID/Armenia Advanced Science & Partnerships for Integrated Resource Development (ASPIRED) Project is soliciting Bids for the restoration and refurbishment of monitoring well #192 of the National Groundwater Monitoring Network, located in Vardanashen community of Armavir Marz and monitoring well #2063 of the National Groundwater Monitoring Network, located in Dalar community of Ararat Marz, under the project concept Restoration and Refurbishment of Monitoring Wells #192 and # 2063 of the National Groundwater Monitoring Network in the Ararat Valley.
Bidders are invited to submit their Bids in accordance with the Instructions to Bidders provided below.
ASPIRED Project will refurbish two groundwater monitoring wells of the National Groundwater Monitoring Network of Armenia located in Vardanashen and Dalar communities. The renovation of the wells is necessary for improving the quality of the groundwater measurements in the Ararat Valley conducted by the Hydrometeorology and Monitoring Center (HMC) of the Armenian Ministry of Environment.
The HMC has 109 groundwater points established in six basin management areas, of which 48 points are located in the Ararat Valley. Water measurements on observation points provide information on the state of the groundwater aquifer as well as water parameters and quality. With the use of special equipment, part of which was donated by the ASPIRED Project earlier, HMC specialists can obtain information on the groundwater level in a particular well and monitor water against 40 parameters, including the water temperature, mineralization, hardness, electric conductivity, etc.
The wells in Dalar and Vardanashen communities are both in poor condition and require complete refurbishment, including cleaning of wells, restoration of damaged well structures wherever necessary, replacement of valves and area fencing. In Dalar, the water spillover deluged the area turning it into a swamp and hampering the measurements. ASPIRED will also envisage a sanitary protection zone and protective steel cabins to prevent external access to the well area and possible contamination of aquifers. The photos show the current condition of the wells in Dalar and Vardanashen.
In 2019, the ASPIRED Project refurbished seven observation wells in the feeding zone of the Ararat Valley for inclusion into the National Reference Groundwater Monitoring Network.