Monitoring Water Use Research Articles

A gravimetric method to monitor transpiration under water stress conditions in wheat

AbstractThe water‐limited potential yield of wheat (Triticum aestivum L.) may be largely dependent on plant transpiration behavior. Research into plant transpiration dynamics is limited due to the difficulty of monitoring water use over an extended period of time. The advent of fully automated gravimetric platforms makes this research possible. The methods for using this equipment to study transpiration of wheat in water‐deficit environments are not well established. The objective of this greenhouse study was to develop a methodology to evaluate plant transpiration under terminal water stress using a gravimetric platform. Using a plant–pot system designed to limit nonplant water loss, the methodology proved capable of monitoring plant transpiration over a 42‐day period and detected significant differences between well‐watered and water‐stressed treatments. However, the high degree of variation in transpiration limited the system's ability to detect significant differences between genotypes of similar watering regimes. Both environmental and human error likely contributed to the observed variation. Recommendations are provided to reduce this variation and improve upon the methodology for future studies. This work lays the foundation for further research into plant water use and the identification of genotypes capable of high transpiration despite exposure to water‐deficit conditions.

Modeling water age in a full‐scale residential plumbing system

AbstractThe residence time of water in residential building water systems is a critical factor regarding water quality at end use. Published literature has highlighted the importance of water age in these systems and its relationship with pathogenic bacteria such as Legionella pneumophila. However, tools to measure water age in such plumbing systems are typically repurposed from other applications and include limitations that make them inappropriate for some plumbing systems. This work presents a novel means of estimating water age by assuming these systems operate without mixing. Data for this study was collected from a full‐scale home equipped with an extensive array of flow meters to monitor water use. Further, 408 individual water quality samples were collected to ascertain water quality changes that take place in the plumbing. Model results show weak correlation with EPANET 2.2 (ρ = 0.666), a commonly used hydraulic modeling software. The results of the water age model were also evaluated with several variable selection tools. These analyses indicate that this method's water age results are a statistically significant (p < .05) predictor of Legionella concentrations. Model results from this approach could be used in plumbing design and/or operation to assist in managing Legionella risks.

Penerapan Internet Of Things (IoT) Pada Sistem Monitoring Penggunaan Air PDAM Rumah Tangga

Water is a source of life that is needed by living things. Many people have switched to using PDAM water to fulfill their daily water needs so in the distribution process the PDAM requires a process of checking or recording by officials the amount of water used that is distributed to each customer. This raises a problem, namely that there is often a discrepancy between the amount of water used and the fees that must be paid and the water meters used by the PDAM are still analog in nature so the water usage data is difficult for customers to know. This is one of the factors causing the soaring bills of fees that must be paid for water needs to the PDAM every month which often results in several possibilities, namely non-payment, leaks, or fraud. So we need a tool to facilitate the PDAM and PDAM water customers in monitoring water use as well as the amount of payment. The tool is in the form of a PDAM Water Usage Monitoring System Design using Internet of Things technology using a water flow sensor that will detect the use of water used, RTC to determine a date and time in the BLYNK application display, processed via the ESP32 Node MCU and displayed on the LCD as the output of current usage and bills to be paid. The processed data results will be sent to the BLYNK web server and can be viewed through the BLYNK application on an Android smartphone. The error value from the reading of the water flow sensor is 1%, which means the accuracy level is 99%. Meanwhile, the data from the reading of the system for calculating the cost of using PDAM water does not contain errors so the accuracy of the data reaches 100%.

Application of UAV Remote Sensing in Monitoring Water Use Efficiency and Biomass of Cotton Plants Adjacent to Shelterbelt.

Tree shelterbelts are crucial for maintaining the ecological environment of oasis, but they may also compete for soil water with adjacent crops, affecting crop yields. To evaluate the impacts of the shelterbelt on water use efficiency (WUE) and normalized water productivity (WP) of adjacent cotton plants, the biomass (B) and WUE of cotton with different distances from the shelterbelt (0.1H, 0.5H, 1H, 2H, and 3H; average tree height = 15 m [H]) were estimated based on unmanned aerial vehicle (UAV) remote sensing data combined with the FAO crop water response model AquaCrop. Besides, the accuracy and universality of the estimation method were also evaluated. The results showed that the method based on UAV remote sensing data and AquaCrop can accurately estimate the impact range and intensity of shelterbelt on WUE, water consumption, and B of adjacent cotton plants. Fierce water competition between shelterbelt and cotton was detected within 0.1H−1H, and the competitiveness of the shelterbelt was weaker in the plots >1H than in the 0.1H−1H. The B, actual evapotranspiration (Tc), and WUE of cotton at 0.1H decreased by 59.3, 48.8, and 23.6%, respectively, compared with those at 3H, but the cotton plants at 2H and 3H were completely unaffected by the shelterbelt. Besides, the B estimated based on WP (root mean square error [RMSE] = 108 g/m2, d = 0.89) was more accurate than that estimated based on WUE (RMSE = 118 g/m2, d = 0.85). This study clarifies the inter-species competition for soil water between crops and shelterbelts under drip irrigation in oases in China.

Apps for Smart Groundwater Monitoring and Assessments: A Case Study of Regideso Catchment in Kimbanseke

There are various groundwater data bases and scanty/sketchy groundwater monitoring and information systems. Groundwater monitoring has been difficult in the Southern African region, particularly, the Democratic Republic of Congo (DRC), for the water administrative authorities. Water clients do not submit the required compulsory critical data for effective monitoring of water use. This, combined with the absence of limits to boreholes dug by permit holders to the water authorities, has led to challenges in decision-making and groundwater conservation. In this mixed method research, using an Android telephone, well data (water levels) and climatic related information such as precipitation were assembled and sent to a composed store through a sort code/USSD/Instrument free line in texts (SMS). This is proficient through a 3G/GSM/GPRS module that is part of the sensor equipment to be used for this procedure. Once in the store, requests were used to recuperate data in the required design. Additionally, a cloud framework at the point where a long-lasting file was followed up. Although the experimentation is still on-going for the case of the Kimbanseke catchment in DRC, the preliminary findings are that the Kimbanseke catchment has a fluctuating abstraction rate resulting from no clear monitoring mechanism, and that research on the development of an application and/or MS Excel© monitoring spreadsheet, using the scores, and ranking of the factors, is necessary. Therefore, a study was carried out with the aim of creating an analysis application for groundwater sustainability in the Kimbanseke catchment. An application for monitoring and evaluation of the groundwater level should be considered so that the sustainable yield is routinely adjusted for the Kimbanseke catchment.

Water End-Use Disaggregation for Six Nonresidential Facilities in Logan, Utah

AbstractMost urban water-use monitoring, modeling, and conservation research has focused on a large but relatively homogenous group of residential water users. Commercial, industrial, and instituti...

Public Water Waste Reporting: Contextual Correlates and Conservation Outcomes

AbstractThe success of water conservation restrictions depends in part on governments' capacity to monitor water use. Inviting the general public to report instances of water waste is one means of expanding government capacity to monitor and enforce water use. Why are people in some communities more frequently engaged in such “participatory surveillance” than in other communities? Does participatory surveillance help achieve conservation goals? We explore the social correlates and conservation outcomes of participatory surveillance regimes with an analysis of water conservation in the U.S. state of California. During California's historic 2014–2017 drought, the state established hotlines and websites for the public to report water waste anonymously. Californians responded by reporting more than 485,000 water waste complaints over the course of the emergency. Analysis shows that besides the water supply characteristics and drought severity, several social and institutional factors correlate strongly with complaint volume. Specifically, we find that municipal and special district utilities received more complaints than investor‐owned utilities, and that complaints correlated positively with communities' level of education and partisan competition. We do not find strong evidence that communities' income, income distributions, and racial/ethnic compositions correlate with overall reporting. We further find that complaints are positively associated with conservation outcomes. Taken together, results indicate that social contexts can influence participation in participatory surveillance, and that participatory surveillance can be a potent means of enhancing water restrictions during a drought emergency.

Rancang Bangun Smart Meter System untuk Penggunaan Air pada Rumah Tangga Berbasis Internet of Things

Water is one of the mineral resources which is a source of basic human needs and has many uses including drinking, bathing, washing and so on. In urban areas, clean water services are generally provided by the government through the PDAM (Regional Water Company). In the use of water, sometimes the user is not able to control the use of water which causes an enlarged water bill as in one of the houses in Pancor, East Lombok Regency. In this area, monitoring is still carried out conventionally by checking the water meter used. Monitoring systems are now widely used as an alternative way to monitor one of them in monitoring water use. In this study, a system (Smart Meter System) that can be used to control and monitor water usage in the household for more efficient water use is designed. By using WeMos as a microcontroller, Water Flow Sensor and MQTT (Message Queuing Telemetry Transport) protocol as data communication, remote control and monitoring of water use in households can be done in real-time.

Water use by mature and sapling western juniper (Juniperus occidentalis) Trees

A common argument for western juniper (Juniperus occidentalis) control in Oregon is the amount of water saved due to reduction in the number of trees. Yet a good understanding of water use by mature trees and sapling regrowth following mature juniper removal has not been documented. Such information is important to better assess how much water can be saved by juniper control. We used sap flow sensors to monitor water use by mature juniper in a control area and saplings in an area where juniper control occurred in 2005. Sap flow data collected between May 2017 and Sep 2019 showed the period of highest water use was in the summer, although this varied each year. In July 2017 (wettest yr of the study), mature trees used 144 L/d, approximately twice as much as in the average of July 2018 and 2019 (dry yr). During the period of maximum water uptake, mature trees used between 45 and 69 times more water than saplings depending on precipitation and, consequently, soil water availability. In summary, 1) juniper water use varies greatly with precipitation and 2) because of the large difference between mature and sapling trees, juniper control results in considerable water savings, even after a 14-yr period of juniper regrowth.

Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin

Irrigated agriculture has been identified as using approximately 72% of water globally. Australia, like many places in the world, is subject to water sharing plans that cross government boarders and are subject to a mixture of management policies. There is a pressing need to develop a method to monitor irrigation water use to aid in water resource assessments and monitoring. This paper aims to test a method previously developed which monitors irrigation water use using remotely sensed observations over the catchment scale, without the need for in-situ observations, ground data or in-depth knowledge of crops and their planting dates. Using conservative assumptions about agricultural land management practice, irrigation is calculated as Irr=AET-P. The method uses three vegetation indices derived from Landsat images to calculate crop coefficients (Kc) based on multiple published relationships. These are combined through the FAO56 methodology using gridded rainfall and two reference evapotranspiration (ETo) products to find actual evapotranspiration as AET=ETo×Kc, providing six ETo-Kc combinations. Results indicate this study method can effectively assess irrigation water use over a range of catchment sizes from ~6000 to ~600,000 ha, although issues arise when regions have a designated low allocation volume for that season (less than40%). Comparisons with the Standardised Precipitation Index (SPI) and Evaporative Stress Index (ESI) show that the proposed method is robust to the rapid onset and short-term droughts, However, its performance was poor during the long term droughts with low water allocation years. The study results during these years has been predominately attributed to water stress in certain crops being undetected, agricultural managers skipping annual crop commodities as well as stock and domestic water use making up larger portions of total water use. This is a limitation of this approach, although when only comparing results in years with greater than 40% allocations, the results improved significantly showing it can monitor water use effectively. When adequate water is available, this approach is able to accurately predict irrigation water use for the sites examined.

Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms

ABSTRACT LiDAR data are becoming increasingly available, which has opened up many new applications. One such application is crop type mapping. Accurate crop type maps are critical for monitoring water use, estimating harvests and in precision agriculture. The traditional approach to obtaining maps of cultivated fields is by manually digitizing the fields from satellite or aerial imagery and then assigning crop type labels to each field – often informed by data collected during ground and aerial surveys. However, manual digitizing and labeling is time-consuming, expensive and subject to human error. Automated remote sensing methods is a cost-effective alternative, with machine learning gaining popularity for classifying crop types. This study evaluated the use of LiDAR data, Sentinel-2 imagery, aerial imagery and machine learning for differentiating five crop types in an intensively cultivated area. Different combinations of the three datasets were evaluated along with ten machine learning. The classification results were interpreted by comparing overall accuracies, kappa, standard deviation and f-score. It was found that LiDAR data successfully differentiated between different crop types, with XGBoost providing the highest overall accuracy of 87.8%. Furthermore, the crop type maps produced using the LiDAR data were in general agreement with those obtained by using Sentinel-2 data, with LiDAR obtaining a mean overall accuracy of 84.3% and Sentinel-2 a mean overall accuracy of 83.6%. However, the combination of all three datasets proved to be the most effective at differentiating between the crop types, with RF providing the highest overall accuracy of 94.4%. These findings provide a foundation for selecting the appropriate combination of remotely sensed data sources and machine learning algorithms for operational crop type mapping.

Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design

Mapping the spatial variability of actual evapotranspiration (ETa) across vineyards is useful for optimizing irrigation scheduling and efficiency, leading to conservation of water resources and more sustainable wine grape production. To support efficient irrigation strategies, we investigate the utility of thermal infrared-based ETa maps over a range of vineyards located throughout California, each representing a unique local climate, trellis design, grape variety, row orientation and management practice. ETa maps are derived by combining the Disaggregated Atmosphere Land Exchange Inverse (ALEXI/DisALEXI) surface energy balance model and the Spatial Temporal Adaptive Reflectance Fusion Model (STARFM) to generate ETa estimates at high spatial (30 m) and temporal (daily) resolution. Model output is evaluated for years 2017 and 2018 over vineyard sites located in Sonoma, Sacramento, and Madera counties in California that are being monitored as part of the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Overall, modeled daily ET estimates compare well with flux tower observations, with average root mean square error (RMSE), mean absolute error (MAE) and mean bias error (MBE) of 0.88 mm day−1, 0.70 mm day−1, and 0.17 mm day−1 respectively, over all four individual vineyard locations, aligning with past GRAPEX studies. Despite general agreement, record wildfires in northern California during 2018 likely resulted in positive model bias, while misrepresentation of leaf area index within a double-trellis designed canopy at the southern-most vineyard resulted in negative model bias. Spatial analysis of monthly total ET highlights the advantages of utilizing a satellite-based approach to characterize the variability in water use within and surrounding the targeted vineyards. A reliable spatial ET product at scale has the potential to improve water allocation and conservation efforts by identifying areas of uneven water use due to variations in soil texture and composition and other environmental or anthropogenic factors.

Water Use Monitoring for Irrigation in the United States: A Case Study in Alabama and Lessons Learned for Achieving Sustainability

Accurate monitoring of water use is an important step in managing water resources in an efficient, sustainable manner. Irrigation is especially important as the largest consumptive use of freshwater in the United States. The U.S. Geological Survey and the U.S. Department of Agriculture (USDA) monitor water use for irrigation at the national level, but many states have their own programs. Alabama collects data for irrigation, but there are concerns about participation and accuracy. We investigated the effectiveness of the program in southeastern Alabama for 2011 to 2015, with a focus on center pivot irrigation. The number of pivots increased by about 50 percent (461 to 712), but the number of pumps registered with the state remained the same (126), and water use reporting was consistently low at 50 percent. An attempt to match registered pumps with center pivots for calculating depth of irrigation applied to fields was obstructed by inaccurate pump location data provided on application forms and other issues. Recommended changes to the program include adopting North American Industry Classification System codes for identifying types of water use, adopting the USDA’s classification system for methods of irrigation, revising instructions about mapping pump and center pivot locations, and conducting workshops to inform farmers about updates and to encourage participation.

Changes in institutional and social–ecological system robustness due to the adoption of large‐scale irrigation technology in Navarre (Spain)

AbstractMany regional and national organisations promote the modernisation of agriculture by supporting new technologies to increase their territory's competitiveness in a free‐market context. Such technologies and their associated intensive land management practices are geared towards obtaining higher yields. However, their application also entails changes in water and land management institutions, which could alter interactions among multiple components of the agrarian social–ecological system and potentially weaken the system. Here, we assess how these components and their relations change in a village situated in Navarre (Spain) after the uptake of large‐scale irrigation infrastructure. Specifically, we analyse such changes by comparing how the design principles for robust social–ecological systems manifest before and after the adoption of large‐scale irrigation. Our findings indicate that an unequal distribution of water and land induces some farmers to abandon their agrarian activities. Our case study also shows how irrigation communities have partially lost their autonomy to self‐organise and make agrarian management‐related decisions. We suggest that the adoption of large‐scale irrigation in this region contributes to a decrease in cooperation among resource users, and between users and infrastructure providers. This is due to a decline in the capacity to achieve collective‐choice arrangements and higher external control and monitoring of water use. We argue that the current agrarian management changes may damage social–ecological system robustness and affect the sustainable use of common‐pool resources, leading farmers to maladaptation to climate and market variability.

Water productivity accounting in Australian agriculture: The need for cost-informed decision-making

Primary producers need strategies and tools to assist in monitoring water use with a view to improving physical and financial productivity. The purpose of this research is to integrate farmer financial accounting data with soil moisture and climate data to better account for water use on farm. Farm-accounting systems, if present, lack the sophistication to allow growers to analyze use, loss, and productivity of water. Water-accounting technologies, if present, do not readily link to business systems to provide the optimal real-time financial decision-making data, nor the necessary context for new technologies to support a broader integrated approach to water management. Findings of desk-based technology benchmarking suggest elements required include real-time sensory data integration that allows for strategic allocation to the full suite of direct and indirect water costs. Key actor interview and producer surveys highlight demand for a farm business integrated water productivity tool and findings from field data collected in a potato case study provide demonstration of how irrigation decision-making can be supported by the crucial link between producers’ business systems and sensing technology.

The water footprint of the sugarcane agro-industry in the Northeast region of Brazil

The water footprint (WF) is an important indicator for water management, as it identifies the amount of water used directly and indirectly by a consumer or a product. The objective of this study is to analyze the sugarcane industry's WF in Brazil's Northeast region for the 2016/17 and 2017/18 harvest seasons. The blue, green and grey WFs of sugarcane were quantified, as well as the blue WFs of the production processes of ethanol and sugar, the main subproducts of sugarcane for both harvests. The work was carried out in an area with 18.42 hectares of sugarcane crops under sprinkler irrigation. The process of sugarcane production and use of pesticides was surveyed and meteorological data for the production period was collected. Right after, mathematical models were used to estimate the blue, green and grey WFs. The WF of the sugarcane was found to be 2,364.87 m³ t-1 and 1,043.92 m³ t-1 for the first and second harvest, respectively. The grey WF made up the largest part of this value, mostly due to use of the pesticides Diuron 800 and Imazapic. The processes of ethanol and sugar production, meanwhile, were found to have a blue WF of approximately 10 m³ t-1 and 5 m³ t-1, respectively. From these results, we can conclude that the WF is an effective indicator for monitoring water use in the production cycle of sugarcane and its subproducts, and that the use of fewer polluting pesticides would aid in reducing the WF of this cycle.

PERAN PEREMPUAN DALAM KONSERVASI AIR RUMAH TANGGA

The availability of world freshwater that can be used by humans is very small in number compared with many people's estimates, especially for those living in regions with abundant of water. Water conservation should be done according to Islamic advice, then considering other users' water needs, maintaining water quality, saving energy, and considering increasing water demand as per population growth. Prior to the scarcity and water damage, water conservation needs to be done in non-domestic and domestic / household levels. Household water conservation can be done through behavioural change and technological change. This study focuses on changes in household behavior in water conservation related to the role of women. A qualitative approach is applied in this study by conducting interviews with resource persons who play a significant role in environmental issues and some are housewives. The results show that household water conservation can be done in simple and easy ways, for example by monitoring water use by children, choosing water-saving ways of gardening, washing clothes at once, and so on. The role of women in household water conservation is significant because women are the main users of water and women can educate children early on. The government is expected to arrange strategies to promote water conservation on a household scale by educating and disseminating it to women's associations at the village level.Keywords :

Water footprint assessment of sheep farming systems based on farm survey data

Water scarcity is among the main challenges making vulnerable the livestock farming systems in drylands. The water footprint (WF) indicator was proposed as a metric to measure the impacts of livestock production on freshwater resources. Therefore, this study aimed to assess water use in five different Tunisian sheep production systems using the Water Footprint Network methodology. The primary data were obtained from 1050 sheep farms located in 13 Tunisian provinces. A multivariate analysis was performed to characterize the different farming systems. A validation step of the WF modeled values of sheep meat was conducted in 12 sheep farms belonging to two different farming systems. This was done through year-round monitoring of on-farm practices using water metres and recording equipment’s taking into account the direct and indirect water use. The typology analysis came up with five sheep farming systems that are the mixed sheep-cereal (MSC), the agro-sylvo-pastoral (ASP), the agro-pastoral (AP), the extensive agro-pastoral (EAP) and the mixed sheep-olive tree farming systems. The WF of sheep meat produced under the target farming systems ranged from 8654 to 13 056 l/kg live weight. The evaluation of WF of five different sheep production systems figured out that sheep raised under the EAP farming system had the greatest WF per ton of live animal. However, the ASP farming system exhibited the lowest WF. Water used to grow feedstuffs for sheep production accounts for 98% of the total WF of sheep. The green WF accounts for more than 92% of the total WF in all farming systems. Results of monitoring water use at farm scale show that the modeled values of WF are overestimated by an average of 23.3% and 24.1% for the selected farms assigned to the MSC and AP farming systems, respectively. Water use for sheep production is high in most of the Tunisian farms. Therefore, the general assumption that ‘meat production is a driver of water scarcity’ is supported and should be considered as an important focal point in agricultural and water policies. Particular attention should be given to forage crops with low WFs and high contribution to dry matter to provide ration with low WF. The efficient use of green water along the meat value chain is essential to minimize the depletion of blue water resources and to reduce the economic dependency on virtual water through the import of feedstuffs.

Green (Environmentalist) Approaches to University Libraries: A Research Across Turkey

This study was carried out in order to identify green (environmentally friendly) practices in university libraries in both institutional and individual contexts. Within the scope of this research, descriptive method was used, and also two questionnaires were used as data collection tools from library directors and librarians. Within the frame of the study, online questionnaire was sent to 165 directors and 1614 librarians working in 165 university libraries (out of 182 in total) in Turkey. 45 directors and 341 librarians responded to the survey. The directors’ survey has six main sections including sustainable environment, water saving, energy saving, sustainable resources and materials, indoor air quality, innovation in design and implementation, and aims to collect information on an institutional basis. The librarian survey consists of three main parts which are demographic information, environmental awareness and attitude in daily life, and green libraries. The obtained data were analyzed by IBM Statistics SPSS 23.0 software package. In the study, it was found out that even though university libraries in Turkey fulfill some criteria such as proximity to public transportation, use of alternative options in transportation and water-efficient plumbing, monitoring water use, turning off electrical appliances when not in use, use of double glazed windows, taking precautions against paper waste with recycling or donation of printed resources, there are still deficiencies. Also, differences between universities have been identified in terms of green approaches /implementations and some libraries such as Atilim, Bilkent, Baskent and Yasar University libraries have been observed to be greener than others within sustainable environment, water and energy saving, sustainable materials-resources, indoor air quality and design and application innovations. Although librarians have a low level of perception and awareness in green libraries and environmental sustainability issues, they have positive opinions about the initiatives promoting education and awareness.

Monitoring water use efficiency of irrigated sugarcane production in Mpumalanga, South Africa, using SEBAL

The objective of this study was to assess the accuracy, spatial variation and potential value of remote sensing (RS) estimates of evapotranspiration (ET) and biomass production for irrigated sugarcane in Mpumalanga, South Africa. Weekly ET and biomass production were estimated from RS data from 2011 to 2013 using the Surface Energy Balance Algorithm for Land (SEBAL). Ground estimates of canopy interception of photosynthetically active radiation (FPAR) and aerial biomass were compared to RS estimates. ET was estimated with a surface renewal (SR) system in one field. Evaporation coefficient (Kc) values were calculated from ET and reference grass evaporation. Remote sensing FPAR and biomass estimates compared well with field measurements (R2 = 0.89 and 0.78). SEBAL ET estimates exceeded SR estimates by 5 mm/week, while full canopy Kc values for SEBAL compared better with literature values than with SR Kc values. SEBAL estimates of ET and biomass were regarded as reliable. Considerable spatial variation was observed in seasonal RS ET (1 034 ± 223 mm), biomass (45 ± 17 t/ha) and biomass water use efficiency (WUEBIO, defined as dry biomass produced per unit of ET) (4.1 ± 1.0 kg/m3). About 32% of sugarcane fields had values below economic thresholds, indicating an opportunity to increase productivity. Actual yields correlated well with WUEBIO values, suggesting that this may be used for monitoring crop performance and identifying areas that require remedial treatment.