The Effect Degree Analysis of Human Activities on Regional Groundwater Level Based on Variable Fuzzy Optimization Model

2015 ◽  
Vol 6 (3) ◽  
pp. 63-76
Author(s):  
Dong Liu ◽  
Wenting Liu ◽  
Tianqi Luo
Keyword(s):  
Groundwater Level ◽  
Optimization Model ◽  
Human Activities ◽  
Local Economic Development ◽  
Fuzzy Optimization ◽  
Assessment System ◽  
Groundwater Resource ◽  
Groundwater Exploitation ◽  
On Farm ◽  
The Impact

Along with the population increasing and social economic developing rapidly, the groundwater resource is affected by human activities seriously. In order to achieve optimal local allocation of water resources and promotion of local economic development, a suitable method for measuring the effect degree of human activities on groundwater resource system is very important. In this paper, regarding Hongxinglong Administration of Heilongjiang Agricultural Reclamation in China as the study area, the comprehensive assessment system to analysis the influence of human activities on groundwater level change with eight evaluated indicators closely related to the amount of groundwater exploitation is established by applying variable fuzzy optimization model. According to relative superiority, the function of effect degree index to evaluate the impact situation is constructed. The results in 2012 show that the human activities on Farm Youyi have the strongest impact on groundwater level variation, while Farm Beixing weakest. Comparing the results from 2003 to 2012, the trend of most effect degree indices reveals decrease by some effective measures. However, there are four farms whose human activities have a stronger influence on groundwater table.

scholarly journals The Effect Degree Analysis of Human Activities on Regional Groundwater Level Based on Variable Fuzzy Optimization Model

2016 ◽  
pp. 466-479
Author(s):  
Dong Liu ◽  
Wenting Liu ◽  
Tianqi Luo
Keyword(s):  
Groundwater Level ◽  
Optimization Model ◽  
Human Activities ◽  
Local Economic Development ◽  
Fuzzy Optimization ◽  
Assessment System ◽  
Groundwater Resource ◽  
Groundwater Exploitation ◽  
On Farm ◽  
The Impact

Along with the population increasing and social economic developing rapidly, the groundwater resource is affected by human activities seriously. In order to achieve optimal local allocation of water resources and promotion of local economic development, a suitable method for measuring the effect degree of human activities on groundwater resource system is very important. In this paper, regarding Hongxinglong Administration of Heilongjiang Agricultural Reclamation in China as the study area, the comprehensive assessment system to analysis the influence of human activities on groundwater level change with eight evaluated indicators closely related to the amount of groundwater exploitation is established by applying variable fuzzy optimization model. According to relative superiority, the function of effect degree index to evaluate the impact situation is constructed. The results in 2012 show that the human activities on Farm Youyi have the strongest impact on groundwater level variation, while Farm Beixing weakest. Comparing the results from 2003 to 2012, the trend of most effect degree indices reveals decrease by some effective measures. However, there are four farms whose human activities have a stronger influence on groundwater table.

scholarly journals Characteristics and causes of groundwater dynamic changes in Naoli River Plain, Northeast China

2020 ◽  
Vol 20 (7) ◽  
pp. 2603-2615
Author(s):  
Du Xinqiang ◽  
Chang Kaiyang ◽  
Lu Xiangqin
Keyword(s):  
Groundwater Level ◽  
Human Activities ◽  
Dynamic Change ◽  
Kendall Test ◽  
Hydrodynamic Characteristics ◽  
Groundwater Exploitation ◽  
River Plain ◽  
Observation Wells ◽  
Year 2000 ◽  
Groundwater Dynamic

Abstract Identification of groundwater dynamic behavior and its mechanism is the basis of groundwater protection and management. In Naoli River Plain (NRP), an important agricultural cultivation base and wetland in China, the trend of groundwater dynamic change is complicated under natural climate and human activities. Based on the methods of the Mann–Kendall test, Sen's slope estimation and correlation analysis, groundwater hydrodynamic characteristics and causes were identified. Within 68 observation wells from year 2000 to 2015, there are 28, 30 and 10 wells, accounting for 41.2%, 44.1% and 14.7%, that belong to rising, declining and relatively stable change trends, respectively. The average groundwater rising and declining rates are 0.19 m/year and 0.26 m/year respectively. The groundwater level was increasing or stable in the areas where there was no intensive groundwater exploitation, such as wetland, mountain foregrounds, residential lands and dry farmland. The groundwater level was declining obviously in the paddy fields with groundwater as the source of irrigation water. Thus, the groundwater dynamics in NRP were affected both by human activities of groundwater irrigation and climate change. The carrying capacity of groundwater for agricultural cultivation has been overloaded in some areas, and a conjunctive utilization of surface water and groundwater is needed urgently in NRP.

scholarly journals The issues of groundwater Enviroment in Ca Mau peninsula

2016 ◽  
Vol 19 (1) ◽  
pp. 86-97 ◽  
Author(s):  
Hai Hong Dao ◽  
Ky Viet Nguyen ◽  
Sang Thanh Tra ◽  
Vuong Tran Bui ◽  
Tu Dinh Nguyen
Keyword(s):  
Water Supply ◽  
Groundwater Level ◽  
Environmental Indicators ◽  
Groundwater Resource ◽  
Groundwater Environment ◽  
Aquifer Systems ◽  
Exploitation And Utilization ◽  
Urbanization Rate ◽  
Intuitive View ◽  
The Impact

Groundwater is an important resource of provinces in Ca Mau Peninsula. The water is supplied to household, industrial, agricultural and aquacultural activities. More important, in this area, as the majority of surface water is contaminated and requires further treatment to become usable, the main source of water supply is the groundwater. Under the impacts of socialeconomic development, the increase of population and the urbanization rate in the region, groundwater resource is under a pressure of exploitation and utilization. Yearly exploited amount of groundwater is larger than the replenishment amount in most aquifers, so the groundwater level is lowered gradually year by year. According to statistics from 2000 to 2010, the groundwater level has been lowered from 0 to -14m (in some places, the water level is lowered to -28m below sea level) in qp2-3 and qp1 aquifers, with the highest drops in Bac Lieu and Soc Trang provinces. The amount of pumped groundwater in the region has been increasing from 159.914 to 931.944 m3 / day, whereas the replenishment amount has been decreasing from 526.121 to 185.004 m3 / day. Stated otherwise, groundwater in the region is declining in both volume and quality under the impact of climate change and exploitation activities. This paper uses the DPSIR framework to assess causal relationships of factors that impact to the groundwater environment in the region, and thereby propose appropriate solutions under the impacts. In combination with groundwater environmental indicators to quantify the degradation impacts to groundwater resource, the results of this paper indicate that water supply used mainly in Ca Mau Peninsula is groundwater ( 85.74%); the capacity of renewable water per capita in the region is still very low (80.06 l / day / person); the water loss from aquifer systems is much larger than the amount of replenishment (141.02%), however the amount of water extraction for domestic service was still in permissible limits of the aquifers (8.71%). The numbers show that groundwater in Ca Mau Peninsula is in decline but still within safe limits. Results from this paper can give authorities a more intuitive view about the current situation of groundwater when planning and using water resources.

scholarly journals Correlation Analysis Between Groundwater Decline Trend and Human-Induced Factors in Bashang Region

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 473 ◽  
Author(s):  
Zhen Hao ◽  
Hesong Zhao ◽  
Chi Zhang ◽  
Huicheng Zhou ◽  
Hongli Zhao ◽  
...  
Keyword(s):  
Groundwater Level ◽  
Human Activities ◽  
Water Resource Management ◽  
Vegetation Index ◽  
Agricultural Water ◽  
Study Region ◽  
Groundwater Levels ◽  
South Central ◽  
Source Data ◽  
The Impact

In Northern China, many regions and cities are located in semi-arid regions, and groundwater is even the only source of water to support human survival and social development. Affected by human activities, the Bashang (BS) region (including Zhangjiakou City and part of Xilin Gol League) have showed a significant decline in groundwater levels in recent years. However, in the BS region, the causes for the decline in groundwater level were not clear. In this study, we used time series of multi-source data Moderate Resolution Imaging Spectroradiometer (MODIS), Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) to analyze vegetation and groundwater changes based on linear regression models. The variation trends of NDVI (Normalized Difference Vegetation Index, derived from MODIS) and GWSA (groundwater storage anomaly, derived from GRACE and GLDAS) indicated the increasingly better vegetation in the agriculture planting areas, partially degraded vegetation in the grassland, and the declining groundwater level in the whole study region. In order to assess the impact of human-induced factors on vegetation and groundwater, the R U E s e a s o n a l calculation model was proposed based on RUE (rain use efficiency) in this study. The R U E s e a s o n a l calculation results showed that human-induced factors promoted the growth of vegetation in agricultural areas and accelerated the consumption of groundwater. In addition, we also obtained temporal and spatial distributions of human activities-affected regions. The area affected by human-induced factors in the south-central study area increased, which accelerated the decline in groundwater levels. From bulletin data, we found that the increasing tourists and vegetable production are respectively the most important factors for the increased consumption of urban water and agricultural water. Based on multi-source data, the influences of various human-induced factors on the ecological environment were explored and the area affected by human-induced factors was estimated. The results provide the valuable guidance for water resource management departments. In the BS region, it is necessary to regulate agricultural water use and strengthen residential water management.

scholarly journals Quantitative analysis on sensitive factors of runoff change in Fenhe watershed based on integration approach

2018 ◽  
Vol 379 ◽  
pp. 371-380 ◽  
Author(s):  
Deng Wang ◽  
Shengqi Jian ◽  
Zening Wu ◽  
Zhaoxi Zhang ◽  
Caihong Hu
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Human Activities ◽  
Yellow River ◽  
Shanxi Province ◽  
The Yellow River ◽  
Groundwater Exploitation ◽  
Total Reduction ◽  
Runoff Change ◽  
The Impact

Abstract. The runoff of the Fenhe River flowed into the Yellow River (RRY) is reducing significantly due to the influence of climate change and human activities. It is generating bad situation of shortage of water resources and led to the deterioration of ecological environment of Shanxi Province. At the same time, the reduction in RRY causes the runoff reduction in Yellow River and exacerbated the water resources shortage of the middle area of the Yellow River. Therefore, it is important to alleviate water shortage and develop the soil and water conservation measurements and regional water policy by analyzing the influence of human activities and climate change on the RRY. The existing study quantified the reduction in amount of RRY which caused by human activities and climate change using statistical methods and watershed hydrological model. The main results of the study were as follow: Using hydrological variation diagnosis system, the variation characteristics of long time series of measured annual runoff were analyzed in Hejin station that is the Fenhe River control station. The results showed that the runoff of Fenhe River run into Yellow River declined year by year, in 1971, fell the most obviously. The impact of LUCC on runoff was calculated using the method of area ratio in the Fenhe River basin. Human activities were major factor in the reduction of RRY than the climate change, contributed 83.09 % of the total reduction in RRY, Groundwater exploitation gave the greatest contribution to the decrease in RRY in the scope of several kinds of human activity (30.09 %), followed by coal mining (26.03 %), climate changed contributed 19.17 % of the total reduction of RRY, and the decrease of precipitation contributed 20.81 %. But the variation of air temperature and wind speed would result in the increase of the amount of RRY.

scholarly journals GROUNDWATER FLOW MODELLING OF THE ALLUVIAL AQUIFER IN THE MOURIA AREA, SW GREECE

2017 ◽  
Vol 43 (4) ◽  
pp. 1716
Author(s):  
E. Karapanos ◽  
W. Burgess ◽  
N. Lambrakis
Keyword(s):  
Groundwater Flow ◽  
Groundwater Level ◽  
Field Work ◽  
Unconfined Aquifer ◽  
Pumping Rate ◽  
Groundwater Exploitation ◽  
Pumping Stations ◽  
Groundwater Flow Modelling ◽  
Drainage Canals ◽  
The Impact

The objective of this paper is to study the impact of a reflooding of the former Mouria Lake on the hydraulic state of the Pyrgos area. The hydrogeological data acquired through field work were combined with the volumetric budget and the hydrological data from the entire Alfios River catchment in order to build the conceptual and numerical model of the groundwater flow system, which confirmed the hydraulic state before the drainage of the Mouria Lake. The model was also used to predict the future hydraulic state in case stresses change. For this purpose, Flowpath II, a numerical groundwater flow model, was used to evaluate the impacts of groundwater exploitation in the alluvium unconfined aquifer that is developing in the Holocene deposits. Due to the connection of the aquifer with the surface drainage canals near the coastal zone, the conceptual model was built upon irrigation data, rainfall data, and pumping rate data from the pumping stations that drain the area of the former Mouria Lake. These data were inserted in the model which was calibrated using a 24- month set of piezometric measurements. The simulation results show that the groundwater level before the drainage of the lake was 2m higher than the present situation and the same scenario will happen in case of reflooding the drained lake. Today, the pumping stations keep the groundwater level near the sea level throughout the hydrological year.

scholarly journals A Fuzzy Optimization Model for the Berth Allocation Problem and Quay Crane Allocation Problem (BAP + QCAP) with n Quays

2021 ◽  
Vol 9 (2) ◽  
pp. 152
Author(s):  
Edwar Lujan ◽  
Edmundo Vergara ◽  
Jose Rodriguez-Melquiades ◽  
Miguel Jiménez-Carrión ◽  
Carlos Sabino-Escobar ◽  
...  
Keyword(s):  
Optimization Model ◽  
Fuzzy Optimization ◽  
Optimal Solution ◽  
Allocation Problem ◽  
Berth Allocation ◽  
Triangular Fuzzy Numbers ◽  
Berth Allocation Problem ◽  
Arrival Times ◽  
Decision Variables ◽  
Short Time

This work introduces a fuzzy optimization model, which solves in an integrated way the berth allocation problem (BAP) and the quay crane allocation problem (QCAP). The problem is solved for multiple quays, considering vessels’ imprecise arrival times. The model optimizes the use of the quays. The BAP + QCAP, is a NP-hard (Non-deterministic polynomial-time hardness) combinatorial optimization problem, where the decision to assign available quays for each vessel adds more complexity. The imprecise vessel arrival times and the decision variables—berth and departure times—are represented by triangular fuzzy numbers. The model obtains a robust berthing plan that supports early and late arrivals and also assigns cranes to each berth vessel. The model was implemented in the CPLEX solver (IBM ILOG CPLEX Optimization Studio); obtaining in a short time an optimal solution for very small instances. For medium instances, an undefined behavior was found, where a solution (optimal or not) may be found. For large instances, no solutions were found during the assigned processing time (60 min). Although the model was applied for n = 2 quays, it can be adapted to “n” quays. For medium and large instances, the model must be solved with metaheuristics.

scholarly journals SEM-PLS Approach to Green Building

Encyclopedia ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 472-481
Author(s):  
Nasim Aghili ◽  
Mehdi Amirkhani
Keyword(s):  
Structural Equation ◽  
Green Building ◽  
Well Being ◽  
The United States ◽  
Assessment Method ◽  
Assessment System ◽  
Renewable Materials ◽  
Sustainable Building ◽  
Building Operation ◽  
The Impact

Green buildings refer to buildings that decrease adverse environmental effects and maintain natural resources. They can diminish energy consumption, greenhouse gas emissions, the usage of non-renewable materials, water consumption, and waste generation while improving occupants’ health and well-being. As such, several rating tools and benchmarks have been developed worldwide to assess green building performance (GBP), including the Building Research Establishment Environmental Assessment Method (BREEAM) in the United Kingdom, German Sustainable Building Council (DGNB), Leadership in Energy and Environmental Design (LEED) in the United States and Canada, Comprehensive Assessment System for Built Environment Efficiency (CASBEE) in Japan, Green Star in Australia, Green Mark in Singapore, and Green Building Index in Malaysia. Energy management (EM) during building operation could also improve GBP. One of the best approaches to evaluating the impact of EM on GBP is by using structural equation modelling (SEM). SEM is a commanding statistical method to model testing. One of the most used SEM variance-based approaches is partial least squares (PLS), which can be implemented in the SmartPLS application. PLS-SEM uses path coefficients to determine the strength and significance of the hypothesised relationships between the latent constructs.

scholarly journals Fluvial Geomorphology and River Management

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1608
Author(s):  
Salvatore Ivo Giano
Keyword(s):  
Human Activities ◽  
River Restoration ◽  
Fluvial Geomorphology ◽  
Landscape Evolution ◽  
River Management ◽  
Special Issue ◽  
Fluvial Systems ◽  
The Impact

This Special Issue deals with the role of fluvial geomorphology in landscape evolution and the impact of human activities on fluvial systems, which require river restoration and management [...]

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