Change search
Link to record
Permanent link

Direct link
BETA
Zakaria, Saleh
Publications (10 of 15) Show all publications
Al-Ansari, N., Abdellatif, M., Zakaria, S., Knutsson, S. & Mustafa, Y. (2014). Future Prospects for Macro Rainwater Harvesting (RWH) technique in north east Iraq. (ed.). Paper presented at . Journal of Water Resource and Protection, 6(5), 403-420
Open this publication in new window or tab >>Future Prospects for Macro Rainwater Harvesting (RWH) technique in north east Iraq.
Show others...
2014 (English)In: Journal of Water Resource and Protection, ISSN 1945-3094, E-ISSN 1945-3108, Vol. 6, no 5, p. 403-420Article in journal (Refereed) Published
Abstract [en]

Countries in Middle East and North Africa (MENA region) are considered arid and semi-arid areas that are suffering from water scarcity. They are expected to have more water shortages problem due to climatic change. Iraq is located in the Middle East covering an area of 433,970 square kilometers populated by 31 million inhabitants.One of the solutions suggested to overcome water scarcity is Rain Water Harvesting (RWH).In this study Macro rainwater harvesting technique had been tested for future rainfall data that were predicted by two emission scenarios of climatic change (A2 and B2) for the period 2020-2099 at Sulaimaniyah Governorate north east of Iraq. Future volumes of total runoff that might be harvested for different conditions of maximum, average, and minimum future rainfall seasons under both scenarios (A2 and B2) were calculated. The results indicate that the volumes of average harvested runoff will be reduced when average rainfall seasons are considered due to the effect of climatic change on future rainfall. The reduction reached 53.73 % and 43.0% when scenario A2 is for scenario B2 are considered respectively.

National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-8170 (URN)10.4236/jwarp.2014.65041 (DOI)6a39a42d-d3d8-4e60-a8e1-1f274d48e1b5 (Local ID)6a39a42d-d3d8-4e60-a8e1-1f274d48e1b5 (Archive number)6a39a42d-d3d8-4e60-a8e1-1f274d48e1b5 (OAI)
Note
Godkänd; 2014; 20140305 (nadhir)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Zakaria, S., Al-Ansari, N., Dawood, A. & Knutsson, S. (2014). Future Prospects for Macro Rainwater Harvesting Technique at Northwest Iraq (ed.). Journal of Earth Sciences and Geotechnical Engineering, 4(1), 1-16
Open this publication in new window or tab >>Future Prospects for Macro Rainwater Harvesting Technique at Northwest Iraq
2014 (English)In: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 4, no 1, p. 1-16Article in journal (Refereed) Published
Abstract [en]

Rainfall data is part of the main components in the hydrological cycle and firmly associated with almost all aspect of climate. Previous research indicated that Macro rainwater harvesting techniques (RWH) can be implemented successfully in Sinjar area northwest Iraq. Recently, prediction of rainfall trends in the Middle East and Iraq in particular suggest a decrease in rainfall due to climate change. This raises the question about the future validity of RWH in the area.In this research, the validity of RWH was investigated using predicted rainfall data in Sinjar area. Eight seasons were selected representing different decades that start 2020 to 2099. The results showed that the maximum, minimum and average harvested future runoff volumes reached about 28.5, 7.61, and 13.9 million cubic meters, that may occurred during the seasons 2055-2056, 2046-2047, and 2065-2066 respectively. The resultant harvested runoff volumes produced by four selected basins at Eastern Sinjar as a catchment area with total area of 435.15 km2. In the second part, an attempt had been made to provide the study area by a set of charts that can help in estimating daily runoff under dry, wet and normal conditions for rainfall depths that ranged between 15 to 55 mm.

Place, publisher, year, edition, pages
Scienpress Ltd, 2014
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-8227 (URN)6b2fb004-2aa0-4216-a3b5-57fcf3b9b5c4 (Local ID)6b2fb004-2aa0-4216-a3b5-57fcf3b9b5c4 (Archive number)6b2fb004-2aa0-4216-a3b5-57fcf3b9b5c4 (OAI)
Note

Validerad; 2014; 20140110 (nadhir)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-12-14Bibliographically approved
Zakaria, S. (2014). Rain Water Harvesting (RWH) North of Iraq (ed.). (Doctoral dissertation). Paper presented at . Luleå: Luleå tekniska universitet
Open this publication in new window or tab >>Rain Water Harvesting (RWH) North of Iraq
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Rainwater harvesting is one of the methods that can ensure availability of water for winter crop in Iraq. Using this technique the excess rainwater (runoff) is stored in reservoirs of dams of different sizes. The water from these reservoirs can be used later when required to satisfy the crops requirements. It is believed that rainwater harvesting will be one of the solutions to overcome water shortages problem in Iraq.This work includes four parts dealing with macro rainwater harvesting modeling. The study area includes selected sites at three Governorates located north of Iraq (Erbil, Sulaymaniyah, and Nineveh). In part one of the work, three selected sites at south, north and east of Sinjar district (Nineveh Governorate) were used. The slope of the study area at Sinjar district is less than 5%. The technique was first applied on southern Sinjar Mountain. Linear programming technique was adopted to optimize the irrigated area of barley crop for irrigation scenario of supplemental irrigation (SI) 100% of full irrigation requirements. Two scenarios of reservoir operation were considered for each main basin. In the first, each reservoir was operated as a separate unit while in the second all reservoirs in main basin were operated as one system. Both scenarios gave encouraging results. Scenario two however, was relatively better. The technique was applied again on the northern and eastern Sinjar Mountain area but with different catchments area and scenarios of irrigation (supplemental irrigation (SI) 100%, deficit irrigation (DI) 50%, and deficit irrigation (DI) 25% of full irrigation requirements). Wheat crop was considered as the main crop grown in the area. A linear programming technique was adopted to optimize the irrigated area for the above three scenarios of irrigation. The results of the three scenarios used indicated that, using deficit irrigation (DI) of 50% can be more beneficial than SI of 100% and DI of 25% of full irrigation requirements. Part two of the work includes application of Macro RWH technique at mountain areas in Northeastern part of Iraq. In these areas, all selected basins having slope more than 5 % and located at the rain-fed farms of Kurdistan region of Iraq, Erbil and Sulaymaniyah Governorates. The annual rainfall is greater than what was available at Nineveh Governorate. Part three of the work focused about the ability of Macro RWH technique to support wheat crop yield production in dry rain-fed farms at north Sinjar district, north west of Iraq, using wheat crop yield-water relationship that conducted by International Center for Agricultural Research in the Dry Areas (ICARDA). Three scenarios of supplemental irrigation (100%, 75% and 50%) of full irrigation. requirements with, various rainfall conditions were used, two types of wheat (bread and durum) were considered. Part four of the work focused on climatic change and future prospects for Macro RWH technique. Box-Jenkins methodology for time series analysis and forecasting (ARIMA model) was used to study future rainfall for 4 main rainfall stations surrounding Sinjar area in order to forecast expected rainfall for the period 2012-2016. Future rainfall depths were forecasted with adoption of a confidence level of 95%. The future rainfall was employed for RWH technique. This part also includes a review of the impact of climatic change on countries of the Middle East and North Africa (MENA region). The climatic model CGCM3.1 (T47) 2 was used to explain the changes in the average temperatures and rainfall on MENA region with special emphases on Iraq. Long term future seasonal rainfall during the period 2020-2099 at east Sinjar (Nineveh Governorate) showed a clear negative trend reflecting the reduction in total seasonal rainfall amount. For these future rainfall depths, the maximum, minimum and average harvested runoff volumes were estimated. The comparison of the runoff results between future and historical recorded rainfall for the same study area was carried out to show the future validity of rainwater harvesting. In order to estimate the amount of runoff that can be harvested from a given catchment area at eastern Sinjar, an attempt was made to provide set of charts that are easy to be used in order to estimate the equivalent harvested runoff depth (mm) for different selected rainfall depths under different hydraulic conditions for the catchment area. Macro rainwater harvesting (RWH) technique had been tested for future rainfall data that predicted by two emission scenarios of climatic change (A2 and B2) for the period 2020-2099 at Nineveh and Sulaymaniyah Governorates north of Iraq. The results of the four parts of the thesis reflect useful values for RWH and its influence to increase the irrigated area and then the crop yield in the studied region when combined with an effective system like supplemental irrigation. Rain-fed land in the studied areas requires effective technique in terms of saving significant runoff water for irrigation purposes and this might be achieved by rain-water harvesting (RWH) technique.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-26570 (URN)ef002247-4e62-4990-b8c1-9b40309a8bda (Local ID)978-91-7439-880-9 (ISBN)978-91-7439-881-6 (ISBN)ef002247-4e62-4990-b8c1-9b40309a8bda (Archive number)ef002247-4e62-4990-b8c1-9b40309a8bda (OAI)
Note
Godkänd; 2014; 20140310 (andbra); Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Saleh Mohammed Saleh Zakaria Ämne: Geoteknik/Soil Mechanics and Foundation Engineering Avhandling: Rain Water Harvesting (RWH) North of Iraq Opponent: Professor Ahmed Hachum, Dams and Water Resources Engineering Department, College of Engineering, Mosul University, Mosul, Iraq Ordförande: Professor Sven Knutsson, Avd för geoteknik, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet Tid: Tisdag den 29 april 2014, kl 10.00 Plats: F1031, Luleå tekniska universitetAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-24Bibliographically approved
Al-Ansari, N., Zakaria, S., Mustafa, Y., Ahmad, P., Ghafour, B. & Knutsson, S. (2013). Development of Water Resources in Koya City, Iraq (ed.). In: (Ed.), (Ed.), First International Symposium on Urban Development: (pp. 91-98). UK: WIT Press
Open this publication in new window or tab >>Development of Water Resources in Koya City, Iraq
Show others...
2013 (English)In: First International Symposium on Urban Development, UK: WIT Press, 2013, p. 91-98Conference paper, Published paper (Refereed)
Abstract [en]

Iraq is facing water shortage problem, which is becoming more severe with time. Rain Water Harvesting (RWH) can help to minimize the water shortage problem. Seven years of rainfall records was used to find out the quantity of water that can be harvested using a Watershed modeling system (WMS).Koya city is located in the northern part of Iraq. The population of the city is about 39484.The application of the WMS model for rainfall records of seven years (2002-3 to 2010-11) showed that 275.51 million cubic meters of water can be harvested. This implies that annual average of rain harvested water is 39.4 million cubic meters and the allocation per capita to be 997 cubic meters per year. This amount of water can greatly help to the development of industry and agriculture in the city.

Place, publisher, year, edition, pages
UK: WIT Press, 2013
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-34082 (URN)82ff30b7-1726-4eda-bda7-f4c8aadba594 (Local ID)978-1-84564-888-6 (ISBN)978-1-84564-889-3 (ISBN)82ff30b7-1726-4eda-bda7-f4c8aadba594 (Archive number)82ff30b7-1726-4eda-bda7-f4c8aadba594 (OAI)
Note
Godkänd; 2013; 20131010 (nadhir)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Zakaria, S., Mustafa, Y., Mohammed, D., Ali, S., Al-Ansari, N. & Knutsson, S. (2013). Estimation of annual harvested runoff at Sulaymaniyah Governorate, Kurdistan region of Iraq (ed.). Paper presented at . Journal of Natural Science, 5(12), 1272-1283
Open this publication in new window or tab >>Estimation of annual harvested runoff at Sulaymaniyah Governorate, Kurdistan region of Iraq
Show others...
2013 (English)In: Journal of Natural Science, ISSN 0075-4307, Vol. 5, no 12, p. 1272-1283Article in journal (Refereed) Published
Abstract [en]

Kurdistan Region (KR) of Iraq has suffered from the drought period during the seasons 2007- 2008 and 2008-2009 that affected the human and economic activities of the region. Macro rain- water harvesting (Macro RWH) is one of the te- chniques that can ensure water availability for a region having limited water resources. This te- chnique is based on Soil Conservation Service- Curve Number (SCS-CN) method and the Water- shed Modeling System (WMS) was used to esti- mate the runoff. Rainfall records of Sulaymani- yah area for the period 2002-2012 were studied and an average season was selected (2010-2011). The results of the application of the WMS model showed that about 10.76 million cubic meters could be harvested. The results also showed that the quantity of the harvested runoff was highly affected by rainfall depth, curve number values, antecedent moisture conditions (AMC) and the area of the basins.

National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-8046 (URN)10.4236/ns.2013.512155 (DOI)67d44bea-5c05-4563-9777-f2b132a55550 (Local ID)67d44bea-5c05-4563-9777-f2b132a55550 (Archive number)67d44bea-5c05-4563-9777-f2b132a55550 (OAI)
Note
Godkänd; 2013; 20131231 (nadhir)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Zakaria, S., Al-Ansari, N. & Knutsson, S. (2013). Historical and future climatic change scenarios for temperature and rainfall for Iraq (ed.). Paper presented at . Journal of Civil Engineering and Architecture, 7(12), 1574-1594
Open this publication in new window or tab >>Historical and future climatic change scenarios for temperature and rainfall for Iraq
2013 (English)In: Journal of Civil Engineering and Architecture, ISSN 1934-7359, E-ISSN 1934-7367, Vol. 7, no 12, p. 1574-1594Article in journal (Refereed) Published
Abstract [en]

The world is facing a big challenge of climatic change, mainly due to increasing concentrations of greenhouse gases (GHGs) in the atmosphere. Many researches indicated that the climate change occurred disproportionately on developing countries such as Middle East and North Africa (MENA) countries.The climatic model CGCM3.1 (T47) 2 is used in this research to explain the changes in average temperatures and the rainfall on MMENA region with special emphases on Iraq. Historical records (1900-2009) and future (2020-2099) were studied and compared, each period was divided to four sub-periods of thirty years. The results showed that the average monthly temperature for the four historical periods fluctuated between the lowest and highest value as follows: 9.2-32.9, 10.3-32.7, 9.3-32.8, and 8.6-33.9 (Cº).The rainfall for historical periods kept on the same distribution during the past 109 years, and fluctuated between the lowest and highest value of 21.3 and 37.6 mm with an average that reached up to 26.51 mm. For the future period, the maximum average monthly temperature reached up to 37.41 (Cº) during June and minimum average monthly temperature reached up to 4.24 (Cº) during January. The average monthly temperature fluctuated giving a clear impression that the future portends a higher temperature. The average monthly of rainfall, for the future period, fluctuated between the lowest and highest value of 12.91 and 20.63 mm with an average that reached 16.84 mm which represent a reduction percentage of about 36.47% relative to the historical record of rainfall for the same months.

National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-15384 (URN)ee3d4ad8-4999-429f-90e2-dbb07fe107c1 (Local ID)ee3d4ad8-4999-429f-90e2-dbb07fe107c1 (Archive number)ee3d4ad8-4999-429f-90e2-dbb07fe107c1 (OAI)
Note
Validerad; 2013; 20130822 (nadhir)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Zakaria, S., Al-Ansari, N., Mustafa, Y., Alshibli, M. & Knutsson, S. (2013). Macro rain water harvesting network to estimate annual runoff at Koysinjaq (Koya) district, Kurdistan region of Iraq (ed.). Paper presented at . Engineering, 5(12), 956-966
Open this publication in new window or tab >>Macro rain water harvesting network to estimate annual runoff at Koysinjaq (Koya) district, Kurdistan region of Iraq
Show others...
2013 (English)In: Engineering, ISSN 1947-3931, E-ISSN 1947-394X, Vol. 5, no 12, p. 956-966Article in journal (Refereed) Published
Abstract [en]

Macro rainwater harvesting techniques (Macro RWH) are getting more popular to overcome the problem of water scar-city in arid and semi-arid areas. Iraq is experiencing serious water shortage problem now despite the presence of Tigris and Euphrates Rivers. RWH can help to overcome this problem. In this research RWH was applied on Koya city in its districts, North West Iraq. Twenty two basins were identified as the catchment area for the application of RWH tech-nique. Watershed modeling system (WMS), based on Soil Conservation Service - curve number (SCS-CN) method, was applied to calculate direct runoff from individual daily rain storm using average annual rainfall records of the area. Two consecutive adjustments for the curve number were considered. The first was for the antecedent moisture condition (AMC) and the second was for the slope. These adjustments increased the total resultant harvested runoff up to 79.402 *106 m3. The average percentage of increase of harvested runoff volume reached 9.28%. This implies that water allocation is of the order of 2000 cubic meter per capita per year. This quantity of water will definitely help to develop the area.

National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-11599 (URN)10.4236/eng.2013.512117 (DOI)a9bab8ef-82fe-4e00-a5ce-4d19a28f63e1 (Local ID)a9bab8ef-82fe-4e00-a5ce-4d19a28f63e1 (Archive number)a9bab8ef-82fe-4e00-a5ce-4d19a28f63e1 (OAI)
Note
Validerad; 2013; 20131014 (nadhir)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Zakaria, S., Al-Ansari, N., Mustafa, Y., Knutsson, S., Ahmed, P. & Ghafour, B. (2013). Rainwater harvesting at Koysinjaq (Koya), Kurdistan region, Iraq (ed.). Journal of Earth Sciences and Geotechnical Engineering, 3(4), 25-46
Open this publication in new window or tab >>Rainwater harvesting at Koysinjaq (Koya), Kurdistan region, Iraq
Show others...
2013 (English)In: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 3, no 4, p. 25-46Article in journal (Refereed) Published
Abstract [en]

Macro Rainwater Harvesting (RWH) has been tested at Koysinjaq (Koya) District, Kurdistan region of Iraq, due to its limited source of water.The studied area consists of four basins with total area of 228.96 km2. The estimating volumes of harvested runoff for the four selected basins together for the study period (2002-2011) were calculated using the Watershed Modeling System (WMS) which is based on Soil Conservation Service Curve Number (SCS-CN) method.In this research, a comparison between maximum and minimum rainfall seasons was conducted to give better understanding for the events that is governing the harvested runoff collection.The results show that, the total harvested runoff ranged from14.83 to 80.77(*106 m3) from the four selected basins together. This indicates that the technique of Macro RWH can be considered to provide a new source of water to contribute to reduce the problem of water scarcity.

Place, publisher, year, edition, pages
Scienpress Ltd, 2013
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-13668 (URN)cedafc86-1b99-4321-bdb9-6ad2185a5ea2 (Local ID)cedafc86-1b99-4321-bdb9-6ad2185a5ea2 (Archive number)cedafc86-1b99-4321-bdb9-6ad2185a5ea2 (OAI)
Note

Validerad; 2013; 20131202 (nadhir)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-12-14Bibliographically approved
Zakaria, S., Al-Ansari, N. & Knutsson, S. (2013). Rainwater harvesting using recorded and hypothetical rainfall data scenarios (ed.). Journal of Earth Sciences and Geotechnical Engineering, 3(2), 21-42
Open this publication in new window or tab >>Rainwater harvesting using recorded and hypothetical rainfall data scenarios
2013 (English)In: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 3, no 2, p. 21-42Article in journal (Refereed) Published
Abstract [en]

Macro Rainwater Harvesting (RWH) under recorded and forecasting rainfall scenarios helps to overcome the water shortage problem. Eastern Sinjar District-Iraq had been investigated for the potential of RWH with a catchment area of four basins. Three recorded rainfall scenarios (S1, S2, and S3) were diagnosed representing seasons of the maximum, minimum and average weekly rainfall events for the period 1990-2011. Forecasting the rainfall depths for the same catchment area were estimated depending on Box-Jenkins methodology to build Autoregressive Integrated Moving Average (ARIMA) models for weekly rainfall data for the period 2012-2016. Three forecasting rainfall scenarios (S4, S5, and S6) were diagnosed to represent the seasons of the maximum, minimum and average weekly forecasting rainfall events. The results of these scenarios were compared with an average area to be irrigated obtained from the results of 19 years record. The results indicated that in wet years RWH technique with supplemental irrigation help to give total irrigated area larger than a total specified average irrigated area. In average and dry years, the amounts of the additional needed water were estimated to irrigate the total areas that should be increase in order to satisfy the specified average irrigated area.

Place, publisher, year, edition, pages
Scienpress Ltd, 2013
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-9006 (URN)790214c4-255d-4242-8846-9678f49aaab2 (Local ID)790214c4-255d-4242-8846-9678f49aaab2 (Archive number)790214c4-255d-4242-8846-9678f49aaab2 (OAI)
Note

Validerad; 2013; 20130413 (nadhir)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-12-14Bibliographically approved
Al-Ansari, N., Ezz-Aldeen, M., Knutsson, S. & Zakaria, S. (2013). Water harvesting and reservoir optimization in selected areas of south Sinjar Mountain, Iraq (ed.). Paper presented at . Journal of hydrologic engineering, 18(12), 1607-1616
Open this publication in new window or tab >>Water harvesting and reservoir optimization in selected areas of south Sinjar Mountain, Iraq
2013 (English)In: Journal of hydrologic engineering, ISSN 1084-0699, E-ISSN 1943-5584, Vol. 18, no 12, p. 1607-1616Article in journal (Refereed) Published
Abstract [en]

Iraq is experiencing water resource shortages which are expected to become more severe in the future. It is believed that rain water harvesting will be one of the solutions to overcome this problem. In this paper rain water harvest modeling techniques were applied to the Sinjar area of Northwest Iraq for agricultural purposes. A watershed modeling system (WMS) and linear programming (LP) optimization techniques were applied to maximize the irrigated area which could be supplied by each selected reservoir for the period 1990-2009. This technique proved to be efficient for solving large scale water supply problems with multiple parameters and constraints, including the required input data for the model. Two scenarios of operation were considered for each main basin. In the first, each reservoir was operated as a separate unit while, in the second, all reservoirs within the basin were operated as one system. Both scenarios gave encouraging results but scenario two provided better results.

National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
urn:nbn:se:ltu:diva-7489 (URN)10.1061/(ASCE)HE.1943-5584.0000712 (DOI)000334026600005 ()2-s2.0-84888068185 (Scopus ID)5e2409be-d514-4ef4-992d-df7a114a04f0 (Local ID)5e2409be-d514-4ef4-992d-df7a114a04f0 (Archive number)5e2409be-d514-4ef4-992d-df7a114a04f0 (OAI)
Note
Validerad; 2013; 20120908 (nadhir)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Organisations

Search in DiVA

Show all publications