Addressing Key Risk of Water Resources and Describing the Adaptation Pathways to Uncertain Future Climate Change

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

Anti-Inflammatory and Anticoagulative Effects of Paeonol on LPS-Induced Acute Lung Injury in Rats

Paeonol is an active component of Moutan Cortex Radicis and is widely used as an analgesic, antipyretic, and anti-inflammatory agent in traditional Chinese medicine. We wanted to determine the role of paeonol in treating adult respiratory distress syndrome (ARDS). We established an acute lung injury (ALI) model in Sprague-Dawley rats, which was similar to ARDS in humans, using intratracheal administration of lipopolysaccharide (LPS). The intraperitoneal administration of paeonol successfully reduced histopathological scores and attenuated myeloperoxidase-reactive cells as an index of polymorphonuclear neutrophils infiltration and also reduces inducible nitric oxide synthase expression in the lung tissue, at 16 h after LPS administration. In addition, paeonol reduced proinflammatory cytokines in bronchoalveolar lavage fluid, including tumor-necrosis factor-α, interleukin-1β, interleukin-6, and plasminogen-activated inhibition factor-1. These results indicated that paeonol successfully attenuates inflammatory and coagulation reactions to protect against ALI

Hydrological Impact of Climate Change on Runoffs the Gumara and Gilgel Abbay Watersheds, the Upper Blue Nile Basin, Ethiopia

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

Assessing Climate Change Impact on Gilgel Abbay and Gumara Watershed Hydrology, the Upper Blue Nile Basin, Ethiopia

Climate change and variability have significant influences on hydrological cycles and the availability of water in the Horn of Africa. Projections of six General Circulation Models (GCMs) in association with high (A2) and low (B1) emission scenarios were adopted in this study from the Special Report on Emission Scenarios (SRES) for the period 2020 - 2039 to assess the impacts of climate changes on the Gilgel Abbay and Gumara watershed hydrology, the upper Blue Nile basin, Ethiopia. The GCMs selected were screened in accordance with baseline climate statistics of study areas. A weather generator was employed to generate daily temperature and precipitation to drive the General Water Loading Function (GWLF) hydrological model for simulating runoffs. Projected changes in temperature differences and precipitation ratios relative to the baseline were analyzed to explain the variations in evapotranspiration and the influences on runoff. Despite the fact that the projected magnitude varies among GCMs, increasing runoff in both wet and dry seasons was observed for both watersheds, attributable mainly to the increase in precipitation projected by most GCMs. In contrast to the great increases in runoff, variations in evapotranspiration are less significant. The projected runoff in both watersheds implies increased potential for promoting agricultural irrigation in the dry season. Furthermore, it would allow greater inflow to Lake Tana, the largest contributor to the Ethiopian Renaissance Dam on the Blue Nile. Therefore, concerned local, state, and federal government organizations shall be prepared to harness opportunities from the projected increase in runoff

Producing Daily and Embedded Hourly Rainfall Data Using a Novel Weather Generator

The number of worldwide extreme drought and flood events has risen significantly in recent years. Many studies confer that climate change may cause more intensive and extreme events. Simulating the impact of climate change often requires weather data as inputs to assessment models. Stochastic weather generators have been developed to produce weather data with the same temporal resolution based on the outputs of GCMs. Reservoir simulation normally uses operational rules in daily and hourly time steps for water supply and flood reduction, respectively. Simulating consecutive drought and flood events simultaneously requires a weather generator to produce different temporal resolution data. This work develops a continuous weather generator to generate daily and hourly precipitation data for regular wet days and severe storms, respectively. Daily rainfall data is generated for regular wet days using Exponential distribution or Weibull distribution, while the total rainfall data for severe storms is generated using the Pearson type III or Log Pearson type III distribution. Moreover, hourly rainfall is determined based on generated hyetographs. Simulation results indicate that the proposed continuous weather generator can generate daily and hourly rainfall reasonably. The proposed weather generator is thus highly promising for use in evaluating how climate change impacts reservoir operations that are significantly influenced by more frequent and intensive consecutive drought and flood events

Assessing water resources vulnerability and resilience of southern Taiwan to climate change

Water resources management has become more challenging in Taiwan due to rapid socio-economic development and the complications of climate change. This study developed a systematic procedure for assessing water resources vulnerability and resilience with an integrated tool, TaiWAP, including climate change scenarios, a weather generator, a hydrological model, and system dynamic models. Five assessment indicators, including two for vulnerability, two for resilience, and one for availability were used to quantify changes in water resources and improvements after implementing adaption measures. Each indicator was presented with 3 grades, namely low, medium, and high. Water resources vulnerability and resilience for Tainan City in southern Taiwan were evaluated. Insufficient water supply facilities capacity is the major weakness causing low resilience. Water resources allocation flexibility is limited by substantial agricultural water demands. A total of 9 adaption measures and combinations of measures were assessed. Desalination plant implementation can steadily supply public water to lessen system failure duration. Although agricultural water conservation and fallow land can greatly reduce water demand, fallow compensation is a potential cost. When food security is considered, reducing irrigation leakage will be a better adaption measure to both water and agriculture stakeholders. Both agriculture water conservation and cropping systems adjustment have cross-spatial flexibilities. The combination of desalination, reservoirs and public water conservation provide the most beneficial effects in reducing climate change impact

Rainfall Variation under Different Climate Change Scenarios Based on Cmip3 and Cmip5 Projections: a Case Study in Taiwan

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

Mindful gratitude journaling: psychological distress, quality of life and suffering in advanced cancer: a randomised controlled trial

Context Numerous studies have shown that gratitude can reduce stress and improve quality of life. Objective Our study aimed to examine the effect of mindful gratitude journaling on suffering, psychological distress and quality of life of patients with advanced cancer. Methods We conducted a parallel-group, blinded, randomised controlled trial at the University of Malaya Medical Centre, Malaysia. Ninety-two adult patients with advanced cancer, and an overall suffering score ≥4/10 based on the Suffering Pictogram were recruited and randomly assigned to either a mindful gratitude journaling group (N=49) or a routine journaling group (N=43). Results After 1 week, there were significant reductions in the overall suffering score from the baseline in both the intervention group (mean difference in overall suffering score=−2.0, 95% CI=−2.7 to −1.4, t=−6.125, p=0.000) and the control group (mean difference in overall suffering score=−1.6, 95% CI=−2.3 to −0.8, t=−4.106, p=0.037). There were also significant improvements in the total Hospital Anxiety and Depression Scale score (mean difference=−3.4, 95% CI=−5.3 to −1.5, t=−3.525, p=0.000) and the total Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being score (mean difference=7.3, 95% CI=1.5 to 13.1, t=2.460, p=0.014) in the intervention group after 7 days, but not in the control group. Conclusion The results provide evidence that 7 days of mindful gratitude journaling could positively affect the state of suffering, psychological distress and quality of life of patients with advanced cancer