Related Experiment Video
Updated: Dec 31, 2025
12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
8.4K
Regional water resource carrying capacity evaluation based on multi-dimensional precondition cloud and risk matrix
Chengguo Wu1, Liyang Zhou2, Juliang Jin3
1School of Civil Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei, Anhui 230009, China.
The Science of the Total Environment
|January 11, 2020
Summary
Water resource carrying capacity modeling improved in Anhui, China from 2005-2015. The new PCRM model effectively quantifies carrying capacity and reveals underlying mechanisms for better water resource management.
Area of Science:
- Environmental Science
- Water Resource Management
- Systems Engineering
Background:
- Understanding the interaction between socio-economic development and water resources is crucial for sustainable management.
- Quantifying regional water resource carrying capacity requires robust modeling approaches.
- Existing models may not fully capture the complex dynamics of water resource systems.
Purpose of the Study:
- To develop and validate a novel model for quantifying regional water resource carrying capacity.
- To explore the interaction mechanisms within water resource carrying systems.
- To assess the trend of water resource carrying capacity in Anhui province, China.
Main Methods:
- Dividing the water resource carrying system into pressure, support, and regulation forces subsystems.
- Utilizing the multi-dimensional precondition cloud algorithm to quantify index belonging degrees.
- Coupling the multi-dimensional precondition cloud with a risk matrix and index weights to establish the PCRM model.
Main Results:
- The PCRM model successfully quantified water resource carrying capacity and revealed carrying mechanisms.
- Water resource carrying capacity in Anhui province showed a slight improving trend from 2005 to 2015 at both provincial and city scales.
- PCRM model evaluations aligned well with average characteristic values from other approaches.
Conclusions:
- The PCRM coupling model is effective in exploring the properties of indexes and subsystems within water resource carrying systems.
- The model provides a reliable method for recognizing carrying grades and understanding carrying mechanisms.
- The PCRM model has potential for application in other system evaluation and regulation research fields.
Related Concept Videos
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
252
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
252
01:17Precipitation and Co-precipitation
4.0K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
4.0K
01:30Typical Model Studies
575
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
575
01:12Precipitation Processes
4.5K
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
4.5K
01:21Design Example: Creating a Hydraulic Model of a Dam Spillway
624
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
624
01:13Resultant of a General Distributed Loading
964
While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
964