Simulation approach to model disintegration and dissolution of drug products by applying cellular automata algorithm.

富山大学・富医薬博乙第80号・横山 怜示・2021/03/03富山大

Distribution of Japanese Eel Anguilla japonica Revealed by Environmental DNA

絶滅危惧種ニホンウナギの分布域を環境DNA解析で推定. 京都大学プレスリリース. 2021-03-03.The abundance of Japanese eel Anguilla japonica has rapidly decreased in recent decades. Following a re-evaluation of the possibility of extinction, the Japanese Ministry of the Environment and the International Union for Conservation of Nature listed the Japanese eel as an endangered species in 2013 and 2014, respectively. However, their abundance and precise distribution have never been clarified owing to their nocturnality and difficulty in their capture. In this study, the distribution of Japanese eels was investigated by monitoring for environmental DNA (eDNA), a non-invasive and efficient detection method. A total of 365 water samples were collected from 265 rivers located throughout Japan. High concentrations of eDNA of Japanese eels were detected in rivers on the Pacific side, but were low in the Sea of Japan side. In particular, very little eDNA amplification was confirmed from Hokkaido and the north of the Sea of Japan. The eDNA distribution in Japanese rivers coincides with the transport of the larvae in the ocean, as estimated by numerical simulations. Generalized linear mixed models were developed to explain the distribution of eDNA concentrations. The total nitrogen concentration emerged as an important factor in the best model. These results indicate that the distribution of Japanese eel is mostly determined by the maritime larval transport, and their survival and growth depend on the abundance of food in the river. The findings of the present study are useful for the management of populations and in the conservation of Japanese eels

Dealing with Disasters: Environmental History of Early Modern Cities (Edo, Istanbul, London, Pest, and Prague)

List of ContributorsForeword Introduction The Ordinary and the Extraordinary in Early Modern Cities / Koichi Watanabe trans. by Hisashi Kuboyama Part I: Aspects of Urban Disasters Chapter 1 Typhoon Damage in 1856 Edo: Integrating Archaeology, Climatology and History / Koichi Watanabe, Junpei Hirano, Hiroyuki Ishigami, and Masumi Zaiki trans. by Hisashi Kuboyama Chapter 2 The Great Flood in Pest, 1838 / Csaba Katona Chapter 3 Fire Disasters in European Cities, 1600-1800 David Garrioch Comment Disaster of Beijing in the Qing Dynasty 1644-1911 / Akira Horichi trans. by Yoko Onodera Part II: Disasters and Responses Chapter 4 Prevent the Big Water. Flood Control Measures in Prague (Bohemia) Issued by Public Administrative Bodies in Late 18th Century / Ondřej Hudeček Chapter 5 Citizens’ Awareness of Firefighting in Edo: Analysing Eighteenth-Century Textbooks on Firefighting / Reiji Iwabuchi trans. by Hisashi Kuboyama Part III: Infrastructure as Artificial Nature Chapter 6 The Ordinary Made Extraordinary: The Archaeology of Water Management in a Global City / Sophie Jackson Chapter 7 Management and Civil Engineering of Urban Water Supply and Sewage System in Edo as Seen from Archaeological Excavation / Hiroyuki Ishigami trans. by Mina Ishizu Chapter 8 Dredging the Edo Castle\u27s Moat: a Case of the Okayama-Domain Dredging in 1765 / Reiji Iwabuchi trans. by Naoko Nomoto Chapter 9 Canal, Dredging and Sedimentation in the Lowland Area of East Edo: Considering Physical and Spatial Characteristics of Canals in a Historical Context / Genki Takahashi trans. by Hisashi Kuboyama Part IV: Hinterland and Nature Chapter 10 Flooding in Edo and the Tone-gawa River and Tama-gawa River Systems / Koichi Watanabe trans. by Hisashi Kuboyama Chapter 11 The Great Edo Flood of 1742 and the Okutama Valley / Koichi Watanabe trans. by Hisashi Kuboyama Chapter 12 The Deluge of Istanbul in 1563: a Case of Flood Where There Was No River / Kazuaki Sawai trans. by Yoko Onodera Chapter 13 Storms, Flooding and the Development of London 1300-1500 / Matthew Davies Chapter 14 Bridging London’s River’s General Situation of London, the Thames, the Bridge / Vanessa Hardin

Use of A MODIS Satellite-Based Aridity Index to Monitor Drought Conditions in Mongolia from 2001 to 2013

The 4D disasters (desertification, drought, dust, and dzud, a Mongolian term for severe winter weather) have recently been increasing in Mongolia, and their impacts on the livelihoods of humans has likewise increased. The combination of drought and dzud has caused the loss of livestock on which nomadic herdsmen depend for their well-being. Understanding the spatiotemporal patterns of drought and predicting drought conditions are important goals of scientific research in Mongolia. This study involved examining the trends of the normalized difference vegetation index (NDVI) and satellite-based aridity index (SbAI) to determine why the land surface of Mongolia has recently (2001–2013) become drier across a range of aridity indices (AIs). The main reasons were that the maximum NDVI (NDVImax) was lower than the NDVImax typically found in other arid regions of the world, and the SbAI throughout the year was large (dry), although the SbAI in summer was comparatively small (wet). Under the current conditions, the capacity of the land surface to retain water throughout the year caused a large SbAI because rainfall in Mongolia is concentrated in the summer, and the conditions of grasslands reflect summer rainfall in addition to grazing pressure. We then proposed a method to monitor the land-surface dryness or drought using only satellite data. The correct identification of drought was higher for the SbAI. Drought is more strongly correlated with soil moisture anomalies, and thus the annual averaged SbAI might be appropriate for monitoring drought during seasons. Degraded land area, defined as annual NDVImax < 0.2 and annual averaged SbAI > 0.025, has decreased. Degraded land area was large in the major drought years of Mongolia

Applying the Moisture Availability Index (NTDI) over Vegetated Land in Central Asia: Mongolian Steppe

The intensity of recent droughts and the uncertainty of moisture variability in the context of increasing temperatures and decreasing precipitation have affected the Mongolian grassland. Mongolia typifies the steppe terrain and semiarid to arid continental climate that extends across much of Central Asia. In semi-arid areas like Mongolian steppe, vegetation type and distribution are directly relate to the amount of water that plants can extract from the soil. An index for as-sessment of moisture availability ( am: defined as the ratio of actual to reference evapotranspi-ration) was developed, namely NTDI [1]. NTDI (Normalized Day-Night Surface Temperature Diff-erence Index) is defined as the ratio of the difference between the maximum daytime surface temperature and the minimum nighttime surface temperature, to the difference between the maximum and minimum surface temperatures estimated from meteorological data by applying energy balance equations. A verification study conducted at Liudaogou River Basin of the Loess Plateau, China, indicated the capability of NTDI to estimate am accurately, ( ) 2 0.97, 0.001R p = < [1]. In Bayan Unjuul, Mongolia, application of NTDI during the growing season showed a significan

Evaluating the Sand-Trapping Efficiency of Sand Fences Using a Combination of Wind-Blown Sand Measurements and UAV Photogrammetry at Tottori Sand Dunes, Japan

Fences are commonly used in coastal regions to control wind-blown sand. Sand-trapping fences and sand-stabilizing fences have been installed at the Tottori Sand Dunes, Tottori Prefecture, Japan, to prevent damage by wind-blown sand; however, the effectiveness of these fences has not previously been quantitatively evaluated. This study analyzed the effects of sand fences on sand trapping using field observations of blown-sand flux and unmanned aerial vehicle (UAV) photogrammetry. The estimated total blown-sand flux in the near-ground surface observed inside and outside the sand fences indicated that wind-blown sand was effectively trapped by the sand fences at wind speeds lower than 17 m s−1, reducing sand flux by more than 80%. The UAV photogrammetry results demonstrated that large amounts of sand were transported from the dune to the fenced area during March and April, and sand initially accumulated on the lee side of the sand-trapping fences, forming a new foredune. Sand accumulated on the existing foredune during April and May, and the vertical accretion around the foredune was two to four times the sand deposition within the sand-stabilizing fences. This indicated the effectiveness of sand-trapping fences for controlling wind-blown sand; however, their efficiency was reduced as they were gradually buried, with sand being trapped by the sand-stabilizing fences