Abstract. To evaluate the frequency and distribution of landslides hazards over Japan, this study uses a probabilistic model based on multiple logistic regression analysis. Study particular concerns several important physical parameters such as hydraulic parameters, geographical parameters and the geological parameters which are considered to be influential in the occurrence of landslides. Sensitivity analysis confirmed that hydrological parameter (hydraulic gradient) is the most influential factor in the occurrence of landslides. Therefore, the hydraulic gradient is used as the main hydraulic parameter; dynamic factor which includes the effect of heavy rainfall and their return period. Using the constructed spatial data-sets, a multiple logistic regression model is applied and landslide hazard probability maps are produced showing the spatial-temporal distribution of landslide hazard probability over Japan. To represent the landslide hazard in different temporal scales, extreme precipitation in 5 years, 30 years, and 100 years return periods are used for the evaluation. The results show that the highest landslide hazard probability exists in the mountain ranges on the western side of Japan (Japan Sea side), including the Hida and Kiso, Iide and the Asahi mountainous range, the south side of Chugoku mountainous range, the south side of Kyusu mountainous and the Dewa mountainous range and the Hokuriku region. The developed landslide hazard probability maps in this study will assist authorities, policy makers and decision makers, who are responsible for infrastructural planning and development, as they can identify landslide-susceptible areas and thus decrease landslide damage through proper preparation.
Numerical stormwater management modeling helps to understand the urban hydrological catchment behavior. Urban hydrological modeling is a complex process, when considering all the urban hydrological catchment characteristics. Selecting and/or prioritizing catchment characteristics according to their sensitivity on modeling results helps to generate simplified and accurate catchment models. Sensitivities of selected catchment characteristics depend on land use change have been analyzed by hydrological modeling of an urban catchment. Changes to surface roughness coefficients increased the modeled post development peak flow up to 10.3% and 15.5% in 1 year and 100 year ARI events. Changing of infiltration parameters caused to 8.8% and 0.3% changes in peak flows under two scenarios. These results show that the sensitivity of parameters associated with the portion of impervious land use is more significant than the characteristics associated with the pervious land use portion. Results have suggested that the overall land use change is more sensitive to the modeling results of minor rainfall events than the results of major rainfall events. Results will help to decide most sensitive catchment characteristics and applicable range of their values, when modeling similar urban catchments.
Rapid urbanisation has significantly increased the impervious surface along with increase in pollutants such as nutrients (nitrogen, phosphorus), sediments, oil, and hydrocarbon in stormwater. Their removal is important as they adversely affect the aquatic ecosystem and the environment. Thus, this study evaluated the performance of various adsorbent materials (red gum mulch, pine mulch, flyash, oyster shell, sawdust, clay, sand, zeolite, dolomite, alum and lime sludges) for the removal of phosphorus from synthetic stormwater. Among them, alum and lime sludges appeared to be the most effective in removing phosphorus. Further analysis showed that alum and lime sludges remove 99 and 90% phosphorus within 60 minutes from the synthetic stormwater. Therefore, this study demonstrates that the lime and alum sludges could be highly useful as a sustainable and cheap filter media for stormwater treatment systems that are enriched in phosphorus.
In this study, Lorenz curves and Gini coefficients, which have been used for income distribution problems, were applied to quantify the distribution of water resources. This method was used to test water inequality in the Mae Chaem river basin, as well as the rest of Thailand. The Lorenz curves and Gini coefficients of the Mae Chaem river basin were compared to those for all of Thailand to understand water resources inequality in small-scale basins and large areas. The Gini coefficients of both the streamflow discharge per unit area (potential water resources) and water availability to population in the Mae Chaem river basin are significantly smaller than in Thailand as a whole. The dry season results for Thailand show that both the potential water resources and water availability to population were higher in 2000 than in 1989. This is a result of changes in the water availability to the population related to changing land use, especially deforestation throughout Thailand.
Abstract The conceptual rainfall–runoff (HBV model) is applied to evaluate impacts of future climate changes on the hydrological system of the Richmond River catchment, Australia. Daily observed rainfall, temperature and discharge and long-term monthly mean potential evapotranspiration from the hydro-meteorological stations within the catchment over the period 1972–2014 were used to run, calibrate and validate the HBV model before the simulation. Future climate signals were extracted from a multi-model ensemble of eight global climate models (GCMs) of the CMIP5 under three scenarios (RCP2.6, RCP4.5 and RCP8.5). The calibrated HBV model was forced with the downscaled rainfall and temperature to simulate future streamflow at catchment outlet for the near-future (2016–2035), mid (2046–2065) and late (2080–2099) 21st century. A baseline run, with baseline climate period 1971–2010, was used to represent current climate status. Almost all GCMs’ scenarios predict slight increase in annual mean rainfall during the beginning of the century and decrease towards the mid and late century. Modelling results also show positive trends in annual mean streamflow during the near-future (13–23%), and negative trends in the mid (2–6%) and late century (6–16%), under all scenarios compared to the baseline-run. Findings could assist in managing future water resources in the catchment.
To determine the effects of land use on groundwater quality in Western Australia, a quantitative analysis is carried out using groundwater quality data supplied by the Department of Water from over 500 groundwater wells across the Perth metropolitan area. We analysed four main groundwater quality indicators ; nutrients, physical parameters, inorganic non metals and trace metals. We found that groundwater beneath agricultural land was found to be particularly susceptible to nutrient loading due to the application of fertilisers. Nutrient levels were found to be rising over time due to increasing agriculture and urban developments. Industrial areas were also found to have numerous contamination plumes that continue to migrate with the groundwater flow. According to Australian and New Zealand Environment and Conservation Council (ANZECC) guidelines and the Australian Drinking Water Guidelines (ADWG), several areas are identified as vulnerable for groundwater quality, including: rural areas (Carabooda Lake, Gnangara and Jandakot Mounds, Cockburn Sound, Forrestdale, Joondalup and Ellenbrook); high-density urban areas (Balcatta and Neerabup); and industrial areas (North Fremantle, Welshpool and Kwinana).