Predicting vapour content of the indoor air and latent loads for air-conditioned environments: Effect of moisture storage capacity of the walls

1988 ◽  
Vol 12 (2) ◽  
pp. 141-148 ◽  
Author(s):  
C. Isetti ◽  
L. Laurenti ◽  
A. Ponticiello
Keyword(s):  
Indoor Air ◽  
Storage Capacity ◽  
Moisture Storage ◽  
Effect Of Moisture

Simulation of the internal temperature in the Passol Laboratory, University of Debrecen

2012 ◽  
Vol 3 (1) ◽  
pp. 63-73 ◽  
Author(s):  
I. Csáky ◽  
F. Kalmár
Keyword(s):  
Temperature Variation ◽  
Air Temperature ◽  
Indoor Air ◽  
Storage Capacity ◽  
Building Structures ◽  
Internal Temperature ◽  
The One ◽  
Heavy Structure ◽  
East West ◽  
Made In

Abstract Nowadays the facades of newly built buildings have significant glazed surfaces. The solar gains in these buildings can produce discomfort caused by direct solar radiation on the one hand and by the higher indoor air temperature on the other hand. The amplitude of the indoor air temperature variation depends on the glazed area, orientation of the facade and heat storage capacity of the building. This paper presents the results of a simulation, which were made in the Passol Laboratory of University of Debrecen in order to define the internal temperature variation. The simulation proved that the highest amplitudes of the internal temperature are obtained for East orientation of the facade. The upper acceptable limit of the internal air temperature is exceeded for each analyzed orientation: North, South, East, West. Comparing different building structures, according to the obtained results, in case of the heavy structure more cooling hours are obtained, but the energy consumption for cooling is lower.

Flood forecasting that considers the impact of hydraulic projects by an improved TOPMODEL model in the Wudaogou basin, Northeast China

2016 ◽  
Vol 16 (5) ◽  
pp. 1467-1476 ◽  
Author(s):  
Yong Peng ◽  
Jinggang Chu ◽  
Xinguo Sun ◽  
Huicheng Zhou ◽  
Xiaoli Zhang
Keyword(s):  
Water Conservation ◽  
Northeast China ◽  
Storage Capacity ◽  
Flood Simulation ◽  
Soil Moisture Storage ◽  
Moisture Storage ◽  
Flood Simulations ◽  
Model Parameter Uncertainty ◽  
The Impact ◽  
Engineering Projects

Many hydraulic projects such as reservoirs, ponds and paddy fields as well as soil and water conservation engineering projects have been constructed to improve utilization of water resources upstream of the Wudaogou station basin in Northeast China in recent years. As a result, the local hydrological characteristics of the basin and the flood runoff and process have been changed. These changes in the basin characteristics make basin hydrological forecasting more difficult. In order to model and assess this situation, the TOPMODEL, which includes the dynamic soil moisture storage capacity (DSMSC-TOPMODEL), is used in this study to simulate the flood impact of hydraulic projects. Furthermore, the Bayesian method is used to evaluate model parameter uncertainty and assess the TOPMODEL's performance over the basin. Flood simulation results show that accuracy is significantly improved when the stock version of TOPMODEL is replaced with DSMSC-TOPMODEL, with the qualified ratio of forecasting runoff yield increasing from 65% in the former to 88% in the latter. Moreover, these flood simulations are more suitable for helping observers visualize the process.

Runoff as a function of moisture-storage capacity

1960 ◽  
Vol 65 (2) ◽  
pp. 651-654
Author(s):  
J. L. Thames ◽  
S. J. Ursic
Keyword(s):  
Storage Capacity ◽  
Moisture Storage

210. Effect of Moisture Damage on Indoor Air Microbes and Symptoms in Masonry and Wooden Schools

2001 ◽  
Author(s):  
A. Nevalainen ◽  
T. Meklin ◽  
T. Husman ◽  
A. Vepsalainen ◽  
M. Vahteristo ◽  
...  
Keyword(s):  
Indoor Air ◽  
Moisture Damage ◽  
Effect Of Moisture

scholarly journals A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data

2019 ◽  
Vol 11 (21) ◽  
pp. 2580 ◽  
Author(s):  
Yifei Tian ◽  
Lihua Xiong ◽  
Bin Xiong ◽  
Ruodan Zhuang
Keyword(s):  
Spatial Distribution ◽  
Soil Moisture ◽  
Storage Capacity ◽  
Spatial Information ◽  
Root Zone ◽  
River Catchment ◽  
Soil Moisture Storage ◽  
Soil Moisture Data ◽  
Moisture Storage ◽  
The Impact

Integration of satellite-based data with hydrological modelling was generally conducted via data assimilation or model calibration, and both approaches can enhance streamflow predictions. In this study, we assessed the feasibility of another approach that uses satellite-based soil moisture data to directly estimate the parameter β to represent the degree of the spatial distribution of soil moisture storage capacity in the semi-distributed Hymod model. The impact of using historical root-zone soil moisture data from the Soil Moisture Active Passive (SMAP) mission on the prior estimation of the parameter β was explored. Two different ways to incorporate the root-zone soil moisture data to estimate the parameter β are proposed, i.e., one is to derive a priori distribution of β , and the other is to derive a fixed value for β . The simulations of the Hymod models employing the two ways to estimate β are compared with the results produced by the original model, i.e., the one without employing satellite-based data to estimate the parameter β , at three study catchments (the Upper Hanjiang River catchment, the Xiangjiang River catchment, and the Ganjiang River catchment). The results illustrate that the two ways to incorporate the SMAP root-zone soil moisture data in order to predetermine the parameter β of the semi-distributed Hymod model both perform well in simulating streamflow during the calibration period, and a slight improvement was found during the validation period. Notably, deriving a fixed β value from satellite soil moisture data can provide better performance for ungauged catchments despite reducing the model freedom degrees due to fixing the β value. It is concluded that the robustness of the Hymod model in predicting the streamflow can be improved when the spatial information of satellite-based soil moisture data is utilized to estimate the parameter β .

scholarly journals Assessing the Increase in Soil Moisture Storage Capacity and Nutrient Enhancement of Different Organic Amendments in Paddy Soil

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 44
Author(s):  
Ahmad Numery Ashfaqul Haque ◽  
Md. Kamal Uddin ◽  
Muhammad Firdaus Sulaiman ◽  
Adibah Mohd Amin ◽  
Mahmud Hossain ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Rice Husk ◽  
Oil Palm ◽  
Paddy Soil ◽  
Storage Capacity ◽  
Organic Amendments ◽  
Chemical Properties ◽  
Total Carbon ◽  
Soil Moisture Storage ◽  
Moisture Storage

Increasing soil moisture storage capacity is a strategy that can be implemented to minimize the use of water in paddy rice cultivation. Organic materials from different sources have the potential to increase soil moisture storage and nutrient enrichment. An incubation study was conducted to evaluate the incorporation of five selected organic amendments—as follows: rice husk biochar (RHB), oil palm empty fruit bunch biochar (EFBB), compost (COMP), rice husk ash (RHA), and oil palm bunch ash (PBA), with a control (no amendment) on soil moisture storage and some chemical properties of soil. The soil was incubated with five amendments for 60 days and sampled at 15-day intervals. After completion of the incubation, a greater extent of gravimetric water content was observed from RHB (0.46 g g−1) and EFBB (0.45 g g−1) followed by compost (0.40 g g−1). The addition of organic amendments significantly influenced soil chemical properties. Maximum soil pH was altered by PBA followed by EFBB compared to its initial value (5.01). The inclusion of EFBB finally contributed to the highest amount of total carbon (7.82%) and nitrogen (0.44%). The addition of PBA showed the highest available P and exchangeable K followed by RHB when compared with the amendments. The results indicated that RHB, EFBB, and compost retain more soil moisture compared to ash sources and added soil nutrients, indicating their potential to improve the chemical and hydrological properties of paddy soil.

scholarly journals The evolution of root zone moisture capacities after land use change: a step towards predictions under change?

2016 ◽  
Author(s):  
Remko Nijzink ◽  
Christopher Hutton ◽  
Ilias Pechlivanidis ◽  
René Capell ◽  
Berit Arheimer ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Storage Capacity ◽  
Root Zone ◽  
Rooting Depth ◽  
Hydrological Models ◽  
Climate Data ◽  
Response Dynamics ◽  
Catchment Scale ◽  
Moisture Storage

Abstract. The core component of many hydrological systems, the moisture storage capacity available to vegetation, is impossible to observe directly at the catchment scale and is typically treated as a calibration parameter or obtained from a priori available soil characteristics combined with estimates of rooting depth. Often this parameter is considered to remain constant in time. This is not only conceptually problematic, it is also a potential source of error under the influence of land use and climate change. In this paper we test the potential of a recently introduced method to robustly estimate catchment-scale root zone storage capacities exclusively based on climate data (i.e. rainfall distribution and evaporation) to reproduce the temporal evolution of root zone storage under change. Using long-term data from three experimental catchments that underwent significant land use change, we tested the hypotheses that: (1) root zone moisture storage capacities are essentially controlled by land cover and climate, (2) root zone moisture storage capacities are dynamically adapting to changing environmental conditions, and (3) simple conceptual yet dynamic parametrization, mimicking changes in root zone storage capacities, can improve a model's skill to reproduce observed hydrological response dynamics. It was found that water-balance derived root zone storage capacities were similar to the values obtained from calibration of four different conceptual hydrological models. A sharp decline in root zone storage capacity was observed after deforestation, followed by a gradual recovery. Trend analysis suggested recovery periods between 5 and 13 years after deforestation. In a proof-of-concept analysis, one of the hydrological models was adapted to allow dynamically changing root zone storage capacities, following the observed changes due to deforestation. Although the overall performance of the modified model did not considerably change, it provided significantly better representations of high flows and peak flows, underlining the potential of the approach. In 54 % of all the evaluated hydrological signatures, considering all three catchments, improvements were observed when adding a time-variant representation of the root zone storage to the model. In summary, it is shown that root zone moisture storage capacities can be highly affected by deforestation and climatic influences and that a simple method exclusively based on climate-data can provide robust, catchment-scale estimates of this crucial and dynamic parameter.

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