J.S. Timmermans
Please Note
13 records found
1
Strategies to decrease water shortage in South-East Brabant
A groundwater model case-study
to prevent water shortage in long-termfuture scenarios?
To find the answer to this research question a stationary groundwater model (iMOD) is used. In this model
the different interventions are tested with four climate scenarios from the KNMI. These interventions take place in the top layers of the subsoil. Next to these interventions also three abstraction scenarios are modeled, to see the effect of changes in deeper aquifer layers. The interventions are tested with three signals from the model: 1) the head of the first aquifer layer, 2) the water balance for both areas for the first aquifer layer as well as the first four aquifer layers combined and 3) the flow paths. Because models include uncertainties and assumptions, expert judgement is included to test the interventions. The expert judgment is based on historical maps and the location of the interventions. At the end of the research a non-stationary model is used to test the "Brook swamp" intervention. This result is compared to the results of the stationary model of this intervention. The results show that changes in the top layers of the subsoil have almost no effect on the groundwater in the deeper layers for De Pielis area. More downstream in the catchment, at the Landschotse Heide area, this effect is bigger, because of changes in the upstream area. In the top soil layers the groundwater reacts positive for most interventions for both areas resulting in more water availability. Also in the top layers the effect is bigger at the Landschotse Heide area than at De Pielis area. With the non-stationary model results the groundwater reacts more positive to the "Brook swamp" intervention than for the stationary model. A non-stationary model is therefore better to see how the groundwater reacts to seasonal dependent interventions. The groundwater reacts differently per areas as well as per intervention. In both areas the groundwater does react positively to most interventions. For the Landschotse Heide area the groundwater reacts more positive than for De Pielis area. For both areas the "higher water level" and "closed ditches" interventions show the most positive reactions of the groundwater. Based on these results the Water Board is advised to research the effect of enriching the top layer of De Pielis, to see if these top layers can then hold more water. For the Landschotse Heide the Water Board is advised to decide if agriculture or nature is more important in that area, because these cannot coincide, and reach all demands, in the way it is set-up now. ...
to prevent water shortage in long-termfuture scenarios?
To find the answer to this research question a stationary groundwater model (iMOD) is used. In this model
the different interventions are tested with four climate scenarios from the KNMI. These interventions take place in the top layers of the subsoil. Next to these interventions also three abstraction scenarios are modeled, to see the effect of changes in deeper aquifer layers. The interventions are tested with three signals from the model: 1) the head of the first aquifer layer, 2) the water balance for both areas for the first aquifer layer as well as the first four aquifer layers combined and 3) the flow paths. Because models include uncertainties and assumptions, expert judgement is included to test the interventions. The expert judgment is based on historical maps and the location of the interventions. At the end of the research a non-stationary model is used to test the "Brook swamp" intervention. This result is compared to the results of the stationary model of this intervention. The results show that changes in the top layers of the subsoil have almost no effect on the groundwater in the deeper layers for De Pielis area. More downstream in the catchment, at the Landschotse Heide area, this effect is bigger, because of changes in the upstream area. In the top soil layers the groundwater reacts positive for most interventions for both areas resulting in more water availability. Also in the top layers the effect is bigger at the Landschotse Heide area than at De Pielis area. With the non-stationary model results the groundwater reacts more positive to the "Brook swamp" intervention than for the stationary model. A non-stationary model is therefore better to see how the groundwater reacts to seasonal dependent interventions. The groundwater reacts differently per areas as well as per intervention. In both areas the groundwater does react positively to most interventions. For the Landschotse Heide area the groundwater reacts more positive than for De Pielis area. For both areas the "higher water level" and "closed ditches" interventions show the most positive reactions of the groundwater. Based on these results the Water Board is advised to research the effect of enriching the top layer of De Pielis, to see if these top layers can then hold more water. For the Landschotse Heide the Water Board is advised to decide if agriculture or nature is more important in that area, because these cannot coincide, and reach all demands, in the way it is set-up now.
Northern European Enclosure Dam
Success and failure factors for a very radical innovation
Adaptive design of flood defence systems
Incorporating adaptive design methods to cope with sea level rise uncertainty in a system-to-structure approach in the Rhine-Meuse estuary
...
Within this study a HEC-RAS hydraulic model was set up to explore the hypothesis of the ridges themselves having served the function of elevated agricultural fields. Therefore, multiple scenarios were constructed and sensitivity analysis of the boundary conditions performed, to explore how easily the landscape within the ridge area could be flooded and transformed into a marshland. The results showed that although there were always some dry spots between the fields, most of it was flooded all day and all year round, with a mean water depth ranging from 0.3m to 0.6m. The maximum water depth stayed below 5m in all model variations (except for one sensitivity analysis run), therefore the ridges (which have been hypothesized to originally have been 5 m tall) would have stayed dry.
The main limitations were set by the lack of data available. Except for the elevation data, very little data was available in general and additionally no data from before the 1940’s was available. Therefore, this study should be viewed as an exploration of how the system may have functioned given certain hypothesized boundary conditions. Further research for confirmation of the utilized boundary conditions is necessary to confirm the study results, for example decreasing the river cross-sections by 25% lead to an increase in mean depth of up to 26%. ...
Within this study a HEC-RAS hydraulic model was set up to explore the hypothesis of the ridges themselves having served the function of elevated agricultural fields. Therefore, multiple scenarios were constructed and sensitivity analysis of the boundary conditions performed, to explore how easily the landscape within the ridge area could be flooded and transformed into a marshland. The results showed that although there were always some dry spots between the fields, most of it was flooded all day and all year round, with a mean water depth ranging from 0.3m to 0.6m. The maximum water depth stayed below 5m in all model variations (except for one sensitivity analysis run), therefore the ridges (which have been hypothesized to originally have been 5 m tall) would have stayed dry.
The main limitations were set by the lack of data available. Except for the elevation data, very little data was available in general and additionally no data from before the 1940’s was available. Therefore, this study should be viewed as an exploration of how the system may have functioned given certain hypothesized boundary conditions. Further research for confirmation of the utilized boundary conditions is necessary to confirm the study results, for example decreasing the river cross-sections by 25% lead to an increase in mean depth of up to 26%.
Finding a balance between meaningful and useful participation by improving information provision
Assessing the effectiveness of information provision approaches in participatory value evaluation on empowering participants to give informed input on urban climate adaptation projects
Low polders and high waters
Dealing with uncertainties of climate change in future polder management
The DAPP approach has been applied successfully in several large scale projects. However, less attention is given to the application on small scale areas, and no applications on (small-scaled) polder areas are present. The aim of this report is to answer the following research question: "Is the Dynamic Adaptive Policy Pathways approach suited for improving the adaptivity of polder management, given the uncertainty in climate change effects?" The Zuidplaspolder is used as a case area for application of the DAPP approach. This deep-lying polder is interesting due to its diverse land use, the low elevation levels and already present issues in water management.
Through assessing the potential effects of climate change, conducting interviews, creating a hydrological model and following the steps of the DAPP procedure, a pathway map for the Zuidplaspolder is created. This pathway map is evaluated during focus groups with stakeholders from the Zuidplaspolder case area, as well as actors from a different polder area, being the Schermerpolder. Besides evaluating the applicability of the pathway map, the DAPP approach itself was assessed as well.
The pathway map provided several insights, one being the requirement to start considering actions at present in order to timely cope with issues in the future.
Moreover, it was found that the DAPP approach is suited for improving the adaptivity in polder management, given the uncertainty in climate change effects. The pathway map is a helpful tool for authorities and affected stakeholders within polder areas to explicate upcoming issues. However, a cost-benefit analysis is required for actual, well-informed policy- and decision-making based on the pathway map. Nonetheless, it assists in making decisions more strategically and to explain certain choices in decision-making, which helps in creating support and understanding. Even though there are difficulties in translating large-scale actions and their effects to a smaller scale, the scale of the case area proved not to be a major issue. At last, the DAPP approach is found useful for other polder areas as well. However, a general pathway map cannot be created, since each polder has its unique set of characteristics and stakeholders with mindset on urgency.
When the pathway map is utilised for actual policy- and decision making, the use of an extended model is recommended. Here, probabilistic simulations are suggested, as well as the incorporation of several components that were excluded in this research. For identifying an integral pathway map for Dutch polder areas, it is recommended to research the clustering of polder characteristics on their constraints and related measures. By selecting the clusters that fit a designated case polder, a tailored pathway map can be created. ...
The DAPP approach has been applied successfully in several large scale projects. However, less attention is given to the application on small scale areas, and no applications on (small-scaled) polder areas are present. The aim of this report is to answer the following research question: "Is the Dynamic Adaptive Policy Pathways approach suited for improving the adaptivity of polder management, given the uncertainty in climate change effects?" The Zuidplaspolder is used as a case area for application of the DAPP approach. This deep-lying polder is interesting due to its diverse land use, the low elevation levels and already present issues in water management.
Through assessing the potential effects of climate change, conducting interviews, creating a hydrological model and following the steps of the DAPP procedure, a pathway map for the Zuidplaspolder is created. This pathway map is evaluated during focus groups with stakeholders from the Zuidplaspolder case area, as well as actors from a different polder area, being the Schermerpolder. Besides evaluating the applicability of the pathway map, the DAPP approach itself was assessed as well.
The pathway map provided several insights, one being the requirement to start considering actions at present in order to timely cope with issues in the future.
Moreover, it was found that the DAPP approach is suited for improving the adaptivity in polder management, given the uncertainty in climate change effects. The pathway map is a helpful tool for authorities and affected stakeholders within polder areas to explicate upcoming issues. However, a cost-benefit analysis is required for actual, well-informed policy- and decision-making based on the pathway map. Nonetheless, it assists in making decisions more strategically and to explain certain choices in decision-making, which helps in creating support and understanding. Even though there are difficulties in translating large-scale actions and their effects to a smaller scale, the scale of the case area proved not to be a major issue. At last, the DAPP approach is found useful for other polder areas as well. However, a general pathway map cannot be created, since each polder has its unique set of characteristics and stakeholders with mindset on urgency.
When the pathway map is utilised for actual policy- and decision making, the use of an extended model is recommended. Here, probabilistic simulations are suggested, as well as the incorporation of several components that were excluded in this research. For identifying an integral pathway map for Dutch polder areas, it is recommended to research the clustering of polder characteristics on their constraints and related measures. By selecting the clusters that fit a designated case polder, a tailored pathway map can be created.
Drought indicators in The Netherlands
A case study to support anticipative drought management
The application of the FAO WaPOR data portal to monitor efficient water use in agriculture
A case study on the Eastern Nile River Basin
In light of this, the Food and Agricultural Organization (FAO) of the United Nations launched the so-called Water Productivity Open-access portal (WaPOR). The portal provides free and open access to processed satellite data that enables monitoring of land and water productivity throughout Africa and the Middle East in near real time. Crop Water Productivity is defined as the crop yield per unit of water consumed, expressed in kg/m3. The objective of this thesis is to explore and assess the available datasets provided by WaPOR to improve current water resource management practices in agriculture in the Eastern Nile Basin countries. The study focuses on the quantification of monthly water withdrawals for irrigation purposes, as well as benchmarking physical water productivity of the main irrigated crops within so-called Agro-Ecological Zones of each country. Throughout this study, crop water productivity is assessed and defined as the amount of agricultural yield that can be attained per unit of water that was allocated for its production, expressed in kg/m3. Data analysis and modeling are the major tools applied to assess spatial variation of water withdrawals and water productivity and subsequently to explain the results. The results are both the quantification of monthly water withdrawals for irrigation purposes, as well as benchmarking crop water productivity of the main irrigated crops within of the countries of the case study: Egypt, Sudan and Ethiopia.
Irrigation is considered the largest water-consuming sector in the world and has great potential to become more water-efficient. Rain-fed agriculture, however, does not influence the water balance within a catchment and can thus not improve its water efficiency. Separating irrigated agriculture from rain-fed agriculture can be done by splitting the total evaporation in so-called green and blue water evaporation. Evaporation from green water is the part of the actual evaporation that is derived from rainfall that infiltrated into the soil, while evaporation from blue water is due to the use of human-made infrastructure such as pumps, with the purpose of irrigation. With blue water evaporation, the total water consumption [m3] that was used for irrigation can subsequently be calculated. This can be used to then calculate the water productivity, but also provides insight into the current water management practices of a country. The principle of the Budyko Curve has been applied to obtain blue water evaporation (Budyko, 1974), in compliance with the Water Accounting Plus procedure that was developed at IHE Delft by Wim Bastiaanssen et al. (Bastiaanssen, W.G.M., Coerver, 2017). Finally, water consumption was obtained by multiplying the pixel size with the sum of the monthly blue evaporation. The outcome of these calculations provides a water consumption expressed in m3/month.
Water productivity is calculated by dividing agricultural yield [kg] by the amount of water that was consumed for its production [m3]. Agricultural yield was obtained by multiplying above ground biomass production (AGBP) with a crop harvest index according to the crop that was identified with the phenology data. To determine the specific growing season of a pixel, so-called “Start Of Season” (SOS) and “End OF Season” (EOS) phenology data are combined. By comparing the growing season of the pixel with literature from the FAO crop calendar, the crop type could be determined. The total water consumption between the SOS and EOS dekad numbers is summed to provide the total water consumption during the growing season of the crop. This way Crop Water Productivity is eventually obtained.
Throughout this thesis, the assumption was made that crops could be distinguished and recognized, based on the available phenology data. Considering the fact that a ‘no season’ label is applied when no growing season can be distinguished, agricultural cropland was thought to be identified through this method. However, from the fact that reasonable results complying with the literature are found with the use of the FAO LCC Land Cover Map, it follows that the identification of crops through phenology and blue evaporation data does not provide accurate results. This is especially the case for Ethiopia and to a lesser extent Sudan, likely due to the fact that Egypt has hardly any rainfall and therefore consists almost solely of irrigated agriculture. Similarly, ground truthing should therefore be done regarding crop identification and the presence of irrigation per pixel.
Calculating water withdrawals gave a promising outcome for Egypt, as the calculated water withdrawals were almost similar to the water withdrawals stated by AQUASTAT. However, numbers differed by a factor 10 for both Sudan and Ethiopia. When the FAO WaPOR LCC mask is applied, better results are achieved. The calculated water withdrawals for Egypt, Sudan, and Ethiopia are lower than FAO AQUASTAT’s numbers. It should, however, be noted that FAO AQUASTAT’s numbers are based on the required water withdrawals, while WaPOR calculates the effective water withdrawals. Lower values could imply low efficiencies of the irrigation systems, which is not uncommon for all three countries. With a typical irrigation efficiency of 60 to 70% (Howell, 2003), the total amount of water withdrawals can be computed with Q_irrigation/0.65 (Kwast et al., 2016). When this is taken into consideration, the results seem promising.
Overlapping phenologies of crops and the indistinct connection with the above ground biomass data are factors that caused unreliable results for the calculation of crop water productivity. The high CWP values that were found in Ethiopia are high compared to the reasonable values found in Egypt and Sudan. This could possibly be due to the fact that the pixels are wrongly identified as irrigated pixels. After all, CWP was assessed for all pixels that contain blue evaporation and was not masked with the FAO WaPOR LCC mask. It is therefore recommended to use an accurate land use mask when CWP is assessed. ...
In light of this, the Food and Agricultural Organization (FAO) of the United Nations launched the so-called Water Productivity Open-access portal (WaPOR). The portal provides free and open access to processed satellite data that enables monitoring of land and water productivity throughout Africa and the Middle East in near real time. Crop Water Productivity is defined as the crop yield per unit of water consumed, expressed in kg/m3. The objective of this thesis is to explore and assess the available datasets provided by WaPOR to improve current water resource management practices in agriculture in the Eastern Nile Basin countries. The study focuses on the quantification of monthly water withdrawals for irrigation purposes, as well as benchmarking physical water productivity of the main irrigated crops within so-called Agro-Ecological Zones of each country. Throughout this study, crop water productivity is assessed and defined as the amount of agricultural yield that can be attained per unit of water that was allocated for its production, expressed in kg/m3. Data analysis and modeling are the major tools applied to assess spatial variation of water withdrawals and water productivity and subsequently to explain the results. The results are both the quantification of monthly water withdrawals for irrigation purposes, as well as benchmarking crop water productivity of the main irrigated crops within of the countries of the case study: Egypt, Sudan and Ethiopia.
Irrigation is considered the largest water-consuming sector in the world and has great potential to become more water-efficient. Rain-fed agriculture, however, does not influence the water balance within a catchment and can thus not improve its water efficiency. Separating irrigated agriculture from rain-fed agriculture can be done by splitting the total evaporation in so-called green and blue water evaporation. Evaporation from green water is the part of the actual evaporation that is derived from rainfall that infiltrated into the soil, while evaporation from blue water is due to the use of human-made infrastructure such as pumps, with the purpose of irrigation. With blue water evaporation, the total water consumption [m3] that was used for irrigation can subsequently be calculated. This can be used to then calculate the water productivity, but also provides insight into the current water management practices of a country. The principle of the Budyko Curve has been applied to obtain blue water evaporation (Budyko, 1974), in compliance with the Water Accounting Plus procedure that was developed at IHE Delft by Wim Bastiaanssen et al. (Bastiaanssen, W.G.M., Coerver, 2017). Finally, water consumption was obtained by multiplying the pixel size with the sum of the monthly blue evaporation. The outcome of these calculations provides a water consumption expressed in m3/month.
Water productivity is calculated by dividing agricultural yield [kg] by the amount of water that was consumed for its production [m3]. Agricultural yield was obtained by multiplying above ground biomass production (AGBP) with a crop harvest index according to the crop that was identified with the phenology data. To determine the specific growing season of a pixel, so-called “Start Of Season” (SOS) and “End OF Season” (EOS) phenology data are combined. By comparing the growing season of the pixel with literature from the FAO crop calendar, the crop type could be determined. The total water consumption between the SOS and EOS dekad numbers is summed to provide the total water consumption during the growing season of the crop. This way Crop Water Productivity is eventually obtained.
Throughout this thesis, the assumption was made that crops could be distinguished and recognized, based on the available phenology data. Considering the fact that a ‘no season’ label is applied when no growing season can be distinguished, agricultural cropland was thought to be identified through this method. However, from the fact that reasonable results complying with the literature are found with the use of the FAO LCC Land Cover Map, it follows that the identification of crops through phenology and blue evaporation data does not provide accurate results. This is especially the case for Ethiopia and to a lesser extent Sudan, likely due to the fact that Egypt has hardly any rainfall and therefore consists almost solely of irrigated agriculture. Similarly, ground truthing should therefore be done regarding crop identification and the presence of irrigation per pixel.
Calculating water withdrawals gave a promising outcome for Egypt, as the calculated water withdrawals were almost similar to the water withdrawals stated by AQUASTAT. However, numbers differed by a factor 10 for both Sudan and Ethiopia. When the FAO WaPOR LCC mask is applied, better results are achieved. The calculated water withdrawals for Egypt, Sudan, and Ethiopia are lower than FAO AQUASTAT’s numbers. It should, however, be noted that FAO AQUASTAT’s numbers are based on the required water withdrawals, while WaPOR calculates the effective water withdrawals. Lower values could imply low efficiencies of the irrigation systems, which is not uncommon for all three countries. With a typical irrigation efficiency of 60 to 70% (Howell, 2003), the total amount of water withdrawals can be computed with Q_irrigation/0.65 (Kwast et al., 2016). When this is taken into consideration, the results seem promising.
Overlapping phenologies of crops and the indistinct connection with the above ground biomass data are factors that caused unreliable results for the calculation of crop water productivity. The high CWP values that were found in Ethiopia are high compared to the reasonable values found in Egypt and Sudan. This could possibly be due to the fact that the pixels are wrongly identified as irrigated pixels. After all, CWP was assessed for all pixels that contain blue evaporation and was not masked with the FAO WaPOR LCC mask. It is therefore recommended to use an accurate land use mask when CWP is assessed.
Aquifer tests are carried out at five study sites in northern Ghana to determine local geohydrological conditions. The TTim analytic element modelling environment is used to analyze the obtained groundwater drawdown data and derive parameters for subsurface characteristics. TTim allows for the inclusion of additional model parameters (e.g. borehole storage, well skin resistance and multiple model layers) and outperforms the analytic Theis method in this research. Although some uncertainties are present in the derived subsurface parameters, plausible values for transmissivity (T) and storativity (S) are suggested to be present in the ranges of respectively 1 to 100 (m2/d) and 1e-3 to 1e-2 (-).
The year-round performance of a northern Ghana single ASR system is studied with a MODFLOW model. The potential types of ASR system improvements that are examined are (a) the extension of daily pumping time, (b) the enlargement of the borehole diameter, and (c) the reduction of the well skin resistance. The ASR systems sensitivities to changing environmental conditions are explored by (a) the degradation of well depth by clogging, (b) the shortening of the wet season inundation time, and (c) the reduction of the wet season inundation levels. Research results show that well maintenance is key for the performance of existing (and new) ASR systems. The recharge and discharge volumes can be improved by cleaning of the borehole depth and well screen. In the case of a new ASR system, the performance can positively be influenced by an enlargement of the borehole diameter. Furthermore, the construction of a proper permeable well skin (screen and gravel-pack around the well) can also result in increased system capacities. Despite the imposed options of system modifications, the geographic position of an ASR system remains of utmost importance for system performance. The construction of an ASR system at a location sensitive to flooding (riverbank overtopping or rainfall based) can be beneficial from a sustainable perspective. Recharge volumes are normative for the sustainable use of an ASR system. The recharges are (approximately linear) dependent on the time-span and levels of inundation. Moreover, the research contains soil scenarios, and demonstrates that the ASR system performs significantly better in regions with higher transmissivity (T) values.
To give insight on some financial aspects of an operational ASR system, the obtained (improved) ASR system discharge capacities are transformed to agricultural and financial yields. A subdivision of the dry season into a tomato and a groundnut cropping season demonstrates that financial yields are crop type dependent. The ASR system revenues are dominantly affected by the choice in crop type(s) and crop-specific market prices. The yields are compared to the ASR system pumping costs. The importance of pump selection is demonstrated by the implementation of the Pedrollo 4" submersible pump efficiencies. The use of a pump that is tuned to local conditions can be beneficial for the operational costs of an ASR system. Although no distinctive conclusion on the financial feasibility can be drawn, the examined system improvements are substantially beneficial for the revenues of a northern Ghana ASR system.
...
Aquifer tests are carried out at five study sites in northern Ghana to determine local geohydrological conditions. The TTim analytic element modelling environment is used to analyze the obtained groundwater drawdown data and derive parameters for subsurface characteristics. TTim allows for the inclusion of additional model parameters (e.g. borehole storage, well skin resistance and multiple model layers) and outperforms the analytic Theis method in this research. Although some uncertainties are present in the derived subsurface parameters, plausible values for transmissivity (T) and storativity (S) are suggested to be present in the ranges of respectively 1 to 100 (m2/d) and 1e-3 to 1e-2 (-).
The year-round performance of a northern Ghana single ASR system is studied with a MODFLOW model. The potential types of ASR system improvements that are examined are (a) the extension of daily pumping time, (b) the enlargement of the borehole diameter, and (c) the reduction of the well skin resistance. The ASR systems sensitivities to changing environmental conditions are explored by (a) the degradation of well depth by clogging, (b) the shortening of the wet season inundation time, and (c) the reduction of the wet season inundation levels. Research results show that well maintenance is key for the performance of existing (and new) ASR systems. The recharge and discharge volumes can be improved by cleaning of the borehole depth and well screen. In the case of a new ASR system, the performance can positively be influenced by an enlargement of the borehole diameter. Furthermore, the construction of a proper permeable well skin (screen and gravel-pack around the well) can also result in increased system capacities. Despite the imposed options of system modifications, the geographic position of an ASR system remains of utmost importance for system performance. The construction of an ASR system at a location sensitive to flooding (riverbank overtopping or rainfall based) can be beneficial from a sustainable perspective. Recharge volumes are normative for the sustainable use of an ASR system. The recharges are (approximately linear) dependent on the time-span and levels of inundation. Moreover, the research contains soil scenarios, and demonstrates that the ASR system performs significantly better in regions with higher transmissivity (T) values.
To give insight on some financial aspects of an operational ASR system, the obtained (improved) ASR system discharge capacities are transformed to agricultural and financial yields. A subdivision of the dry season into a tomato and a groundnut cropping season demonstrates that financial yields are crop type dependent. The ASR system revenues are dominantly affected by the choice in crop type(s) and crop-specific market prices. The yields are compared to the ASR system pumping costs. The importance of pump selection is demonstrated by the implementation of the Pedrollo 4" submersible pump efficiencies. The use of a pump that is tuned to local conditions can be beneficial for the operational costs of an ASR system. Although no distinctive conclusion on the financial feasibility can be drawn, the examined system improvements are substantially beneficial for the revenues of a northern Ghana ASR system.
This research focuses on the need for a water level measuring instrument that is low cost, automatic, reliable and suitable for use in developing countries, specifically in Myanmar. In Myanmar, automated water level data collection remains challenging due to limited financial resources. This data collection limitation inhibits Myanmar's ability to optimize the distribution of water resources, potential consequences of poor water resource management include floods and droughts. Key requirements for a water level gauge to be considered suitable for use in developing countries include, simple to operate and repair, made from off the shelf components and operational in remote areas.
We developed an automatic water level gauge incorporating an acoustic distance sensor, which is the type of sensor used for parking assistance in modern cars. To validate the applicability of our instrument, field trials were undertaken in The Netherlands and Myanmar.
Our research objective was achieved and therefore we demonstrated it is possible to build a water level measuring instruments that is cost-efficient, automatic, reliable and suitable for use in developing countries. Although tests results from the Netherlands are promising, further optimization is needed for deployment in Myanmar. ...
This research focuses on the need for a water level measuring instrument that is low cost, automatic, reliable and suitable for use in developing countries, specifically in Myanmar. In Myanmar, automated water level data collection remains challenging due to limited financial resources. This data collection limitation inhibits Myanmar's ability to optimize the distribution of water resources, potential consequences of poor water resource management include floods and droughts. Key requirements for a water level gauge to be considered suitable for use in developing countries include, simple to operate and repair, made from off the shelf components and operational in remote areas.
We developed an automatic water level gauge incorporating an acoustic distance sensor, which is the type of sensor used for parking assistance in modern cars. To validate the applicability of our instrument, field trials were undertaken in The Netherlands and Myanmar.
Our research objective was achieved and therefore we demonstrated it is possible to build a water level measuring instruments that is cost-efficient, automatic, reliable and suitable for use in developing countries. Although tests results from the Netherlands are promising, further optimization is needed for deployment in Myanmar.
Seasonal key point based crop prediction; an evaluation of spring wheat in North Dakota and the Canadian prairie, and cocoa in Ivory Coast
A pilot study linking precipitation to price changes