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13,486 result(s) for "Water Pollution prevention "
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Citizen monitoring of waterways decreases pollution in China by supporting government action and oversight
Water pollution is a persistent problem in China, in part, because local governments fail to implement water quality standards set by national and provincial authorities. These higher authorities often lack regular information about the immediate and long-term achievement of remediation targets. Accordingly, central authorities have encouraged nongovernmental organizations to monitor local governments’ remediation efforts. This study examines whether nongovernmental monitoring of urban waterways improves water quality by facilitating oversight of local governments or instigating public action for remediation. We randomly assigned urban waterways in Jiangsu province previously identified for remediation to be monitored by a partner nongovernmental organization for 15 mo. We further randomized whether the resulting information was disseminated to local and provincial governments, the public, or both. Disseminating results from monitoring to local and provincial governments improved water quality, but disseminating results to the public did not have detectable effects on water quality or residents’ pursuit of remediation through official and volunteer channels. Monitoring can improve resource management when it provides information that makes local resource managers accountable to higher authorities.
The Missing Piece of the Puzzle: How Different Water-related Public Concerns Contribute to Water Governance in China
Public participation is crucial to improving the performance of water governance systems, especially in a governance model dominated by a top-down hierarchical structure. Public concerns, as a vital form of public participation, have been acknowledged as an essential component in contributing to water governance. However, few studies explore the varying effects of diverse public concerns in leading to different water governance outcomes. This study addresses this gap by exploring the direct and indirect effects of water-related public concerns on water pollution control and governments’ pollution mitigating actions, using citizens’ water-related posts crawled from China’s social media. Results show that public water-related concerns contribute to water governance both through its direct effects on reducing water pollution and indirect effects by promoting policy actions. Specifically, the concerns related to water pollution hazards , water pollution monitoring , prevention products , and water pollution control measures have more positive impacts on water pollution reduction compared to other types of concern. Meanwhile, public concerns demonstrate stronger effects in triggering economic-related and infrastructure-related water pollution mitigation actions. This study provides nuanced insights to understand the role of public participation in improving water governance, the findings of which are insightful to enhance accountability of water governance systems through a bottom-up approach.
Exploring the contribution of the river chief system on controlling industrial water pollution under quasi-natural experimental conditions
The innovative environmental system known as the river chief system (RCS) was developed in China to limit water pollution by appointing provincial, prefectural, county, and township officials as “river chiefs” as guardians of every river under their control. Our research project developed a quasi-natural experiment to investigate if the RCS effectively reduces the intensity of industrial water pollution. A multi-period difference-in-difference (DID) method was employed in the experiment with a total of 3808 samples from 272 prefecture-level cities. The samples gathered represented the years from 2007 to 2020. Our results demonstrated that the southern region has far more industrial water contamination than other locations, and the intensity of industrial sewage discharge decreased by 10.25% in pilot cities following the implementation of the RCS compared with what we observed in non-pilot cities. Furthermore, according to the mechanism analysis we used, cities that increased investment in technical advancement and modernized industrial structures may also account for this decreasing trend. Additionally, the results of geographical heterogeneity demonstrate that the RCS’s influence on curbing industrial water pollution is greater in cities with a higher intensity of environmental regulation and higher fiscal balance pressure than in locations with low environmental regulation and low fiscal balance pressure. In summary, the Chinese government needs to continue to strengthen the RCS’s implementation; this can be done by adjusting to local circumstances as needed and by carrying out the policy accurately and effectively across the country. Our research sheds light on how to prevent water pollution in China and in other countries and supports the positive effects and effectiveness of RCS.
A Decision Support Tool For Water Pollution and Eutrophication Prevention In Groundwater-dependent Shallow Lakes From Periurban Areas Based On The DPSIR Framework
The deterioration of water quality worldwide is a serious environmental problem. Water managers still need operational tools to assess water issues and to inform water planning and decision-making. The aim of this article is to propose a 3-step methodological framework for assessing water pollution problems by combining a conceptual modeling tool (DPSIR) with the development of a quantitative model (Multi-Criteria Decision Model). This contribution provides a practical and flexible evaluation tool for conducting an integrated assessment of eutrophication and agrochemicals delivered to groundwater-dependent shallow lakes. It lays out action guidelines for decision-making environmental managers within the context of intermediate cities in developing countries. Forty-one indicators were identified to characterize the D-P-S-I compartments and for the multi-criteria model conceptualization. In this work, response options analysis consisted of evaluating and choosing water management instruments via a decision support tool. Two lake watersheds located in the peri-urban of two middle-size cities, in Argentina, were chosen to illustrate this methodological approach. The ensuing results allowed establishing a ranking of areas to prioritize, identifying a criteria and sub-criteria to focus on in order to set out action guidelines to minimize water pollution and eutrophication. These action guidelines are urgently needed in emerging countries, where financial, human resources and infrastructure are limited. The scarcity of such causes important implications regarding policy solutions for environmental issues. The implemented decision support tool in both lake watersheds provided a common basis for the understanding of the ongoing water pollution problems and a quantitative ranking (i.e., decision scores) for defining specific actions (responses) for human-induced stresses on such natural systems.
Water and Sanitation-Related Diseases and the Changing Environment
The revised and updated second edition of Water and Sanitation Related Diseases and the Changing Environment offers an interdisciplinary guide to the conditions responsible for water and sanitation related diseases. The authors discuss the pathogens, vectors, and their biology, morbidity and mortality that result from a lack of safe water and sanitation. The text also explores the distribution of these diseases and the conditions that must be met to reduce or eradicate them. The text includes contributions from authorities from the fields of climate change, epidemiology, environmental health, environmental engineering, global health, medicine, medical anthropology, nutrition, population, and public health. Covers the causes of individual diseases with basic information about the diseases and data on the distribution, prevalence, and incidence as well as interconnected factors such as environmental factors. The authors cover access to and maintenance of clean water, and guidelines for the safe use of wastewater, excreta, and grey water, plus examples of solutions. Written for students, and professionals in infectious disease, public health and medicine, chemical and environmental engineering, and international affairs, the second edition of Water and Sanitation Related Diseases and the Changing Environment isa comprehensive resource to the conditions responsible for water and sanitation related diseases.
Trade-off between water pollution prevention, agriculture profit, and farmer practice—an optimization methodology for discussion on land-use adjustment in China
Agricultural decision-making to control nonpoint source (NPS) water pollution may not be efficiently implemented, if there is no appropriate cost-benefit analysis on agricultural management practices. This paper presents an interval-fuzzy linear programming (IFLP) model to deal with the trade-off between agricultural revenue, NPS pollution control, and alternative practices through land adjustment for Wuchuan catchment, a typical agricultural area in Jiulong River watershed, Fujian Province of China. From the results, the lower combination of practice 1, practice 2, practice 3, and practice 7 with the land area of 12.6, 5.2, 145.2, and 85.3 hm², respectively, could reduce NPS pollution load by 10 %. The combination yields an income of 98,580 Chinese Yuan/a. If the pollution reduction is 15 %, the higher combination need practice 1, practice 2, practice 3, practice 5, and practice 7 with the land area of 54.4, 23.6, 18.0, 6.3, and 85.3 hm², respectively. The income of this combination is 915,170 Chinese Yuan/a. The sensitivity analysis of IFLP indicates that the cost-effective practices are ranked as follows: practice 7 > practice 2 > practice 1 > practice 5 > practice 3 > practice 6 > practice 4. In addition, the uncertainties in the agriculture NPS pollution control system could be effectively quantified by the IFLP model. Furthermore, to accomplish a reasonable and applicable project of land-use adjustment, decision-makers could also integrate above solutions with their own experience and other information.