Assessing rainwater harvesting potential in a humid and semi-humid region based on a hydrological model

this study proposes the results of a research activity devoted to the analysis and development of methodologies, models and strategies, which allow integrating decentralized solutions such as rainwater harvesting, greywater reuse systems, and green technologies in buildings. A methodology based on a hydraulic/hydrological model developed by means of SWMM is presented. It allows estimating the optimal size of the storage tanks, considering the overall efficiency of the system, and calculating the wastewater overflows reduction. This study is carried out within the Work Package three (WP3) of the GST4Water project funded by the Emilia-Romagna Regional Council (Italy) through the European Regional Development Fund 2014–2020 ERDF—ROP.

Download Full-text

Assessing the influence of rain gauge density and distribution on hydrological model performance in a humid region of China

Journal of Hydrology ◽

10.1016/j.jhydrol.2013.09.004 ◽

2013 ◽

Vol 505 ◽

pp. 1-12 ◽

Cited By ~ 78

Author(s):

Hongliang Xu ◽

Chong-Yu Xu ◽

Hua Chen ◽

Zengxin Zhang ◽

Lu Li

Keyword(s):

Hydrological Model ◽

Model Performance ◽

Rain Gauge ◽

Humid Region

Download Full-text

Suitability of Satellite-Based Precipitation Products for Water Balance Simulations Using Multiple Observations in a Humid Catchment

Remote Sensing ◽

10.3390/rs11020151 ◽

2019 ◽

Vol 11 (2) ◽

pp. 151 ◽

Cited By ~ 7

Author(s):

Dan Zhang ◽

Xiaomang Liu ◽

Peng Bai ◽

Xiang-Hu Li

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Water Balance ◽

Spatial Patterns ◽

Hydrological Modeling ◽

Hydrological Model ◽

Distributed Hydrological Model ◽

Multiple Observations ◽

Humid Region ◽

Regional Water

This study assesses the suitability of five popular satellite-based precipitation products in modeling water balance in a humid region of China during the period 1998–2012. The satellite-based precipitation products show similar spatial patterns with varying degrees of overestimation or underestimation, compared with the gauged precipitation. A distributed hydrological model is used to evaluate the suitability of satellite-based precipitation products in simulating streamflow, evapotranspiration and soil moisture. The simulations of streamflow and evapotranspiration forced by the MSWEP precipitation perform best among the five satellite-based precipitation products, where the Kling-Gupta efficiency (KGE) between the simulated and observed streamflow ranges from 0.75 to 0.91, and the KGE between the simulated and observed evapotranspiration ranges from 0.46 to 0.61. However, the KGE between the simulated and observed soil moisture is negative, indicating that the performance of soil moisture simulation forced by satellite-based precipitation is poor. In addition, this study finds the spatial pattern of simulated streamflow is dominated by the distribution of precipitation, whereas the distribution of evapotranspiration and soil moisture is controlled by the parameters of the hydrological model. This study is useful for the improvement of hydrological modeling based on remote sensing and the monitoring of regional water resources.

Download Full-text

Integration of Remote Sensing Evapotranspiration into Multi-Objective Calibration of Distributed Hydrology–Soil–Vegetation Model (DHSVM) in a Humid Region of China

Water ◽

10.3390/w10121841 ◽

2018 ◽

Vol 10 (12) ◽

pp. 1841 ◽

Cited By ~ 3

Author(s):

Suli Pan ◽

Li Liu ◽

Zhixu Bai ◽

Yue-Ping Xu

Keyword(s):

Remote Sensing ◽

Genetic Algorithm ◽

Hydrological Model ◽

Hydrological Models ◽

Distributed Hydrological Model ◽

Vegetation Model ◽

Multi Objective ◽

Humid Region ◽

Linux Cluster ◽

Single Objective

This study presents an approach that integrates remote sensing evapotranspiration into multi-objective calibration (i.e., runoff and evapotranspiration) of a fully distributed hydrological model, namely a distributed hydrology–soil–vegetation model (DHSVM). Because of the lack of a calibration module in the DHSVM, a multi-objective calibration module using ε-dominance non-dominated sorted genetic algorithm II (ε-NSGAII) and based on parallel computing of a Linux cluster for the DHSVM (εP-DHSVM) is developed. The module with DHSVM is applied to a humid river basin located in the mid-west of Zhejiang Province, east China. The results show that runoff is simulated well in single objective calibration, whereas evapotranspiration is not. By considering more variables in multi-objective calibration, DHSVM provides more reasonable simulation for both runoff (NS: 0.74% and PBIAS: 10.5%) and evapotranspiration (NS: 0.76% and PBIAS: 8.6%) and great reduction of equifinality, which illustrates the effect of remote sensing evapotranspiration integration in the calibration of hydrological models.

Download Full-text