Water (MDPI) Submission Guide: Scope and Process (2026)

Water is not a weaker version of a flagship hydrology journal, and it is not a faster clone of one. It is a different model. MDPI built it around speed and soundness-based review: the editorial question is whether the work is methodologically sound, in scope, and reproducible, not whether it ranks among the most selective findings of the year. That model shapes everything about how you prepare the package.

Two consequences matter most. First, the journal is section-based, organized into subject areas such as Hydrology, Hydrogeology, and Water Quality, so scope fit is assessed against a specific section rather than a vague "is this interesting" bar. Second, the pre-check is fast and partly template-driven, so completeness and a clear transferable claim are rewarded, and vagueness is punished early.

A technically clean field study whose only contribution is "here is what we measured at this site" can be returned before a reviewer ever sees it, while a competent, in-scope study with a generalizable result moves quickly.

There is a real upside to the model. Because Water requires authors to make full datasets available where possible and to report experimental controls, a study built on a well-documented, openly deposited dataset has a structural advantage in pre-check that it would not get at a journal where data deposition is an afterthought. If your catchment time series, monitoring records, or model code are already in a repository, you are starting ahead.

The core fit for most submissions is the original research article. It works best when the water-resources question is central, the methods are reproducible from the text and supplementary files, and the result reaches past the specific site that produced it.

Ask these questions before you submit:

• does the study deliver a method, a validated model, or a result that another researcher could carry to a different basin, or is it a description of one site?
• if a model is used, is it validated against data it was not fit to, with the validation shown in a figure or table?
• are the data, site maps, and water-quality records deposited or available through a concrete route, or only "available on request"?
• does the framing sit inside water resources and hydrology, or has a chemistry or engineering paper been relabeled to target a water journal?

If the answers are uncertain, the scope-and-validation problem is usually more important than the data-quality problem.

The pre-check editor is answering a short list of questions fast.

On scope, the academic editor asks whether the manuscript belongs in a water-resources journal and in which section. If the water relevance is thin or the paper is really environmental chemistry or treatment engineering with a water label, it is redirected or returned. On soundness, the question is whether the methods are reproducible and the analysis appropriate for the hydrological or water-quality data at hand.

Water does not require the finding to be field-defining, but it does require the work to be done correctly, validated where a model is involved, and reported in full.

On methodology and references, MDPI's pre-check explicitly checks the correctness of the applied methodology and the relevance of the cited literature, so a study that ignores the standard methods of its subfield, or that cites loosely around the actual prior work, reads as not ready. On completeness, the editor looks for the data availability statement and the declarations block. A manuscript with no named repository for its time series, or a missing Conflicts of Interest or Funding statement, reads as unfinished even when the science is fine.

Manuscript structure: Water expects a defined section set: Abstract, Keywords, Introduction, Materials and Methods, Results, Discussion, Conclusions, plus the declarations block. The abstract runs to about 200 words and is the first thing the pre-check editor reads, so the water-resources question, the study design, and the transferable result all need to be visible there, followed by 3 to 10 keywords.

Water places no fixed cap on overall manuscript length provided the text stays concise, but more is not better: a paper that needs 14 figures to make its point usually has a focus problem, not a length problem.

Model, methods, and validation readiness: Provide full field, sampling, and analytical detail so the work can be reproduced, and state your experimental controls. Where you use a hydrological or water-quality model, show the calibration and the validation separately. A streamflow, water-balance, or contaminant-transport model that reports goodness-of-fit only on the calibration period, with no split-sample or independent-site test, is the single most common reviewer-stage friction point at water journals, and it is fixable before you submit.

Data, site maps, and supplementary assets: Draft the Data Availability Statement before upload and name where the data actually lives: a repository, an accession, or a concrete access route for the hydrological time series, the catchment or site maps, and the water-quality records. MDPI asks authors to make full datasets available where possible, so "available on request" alone reads as a gap.

Site and catchment maps, long monitoring time series, model input files, and additional water-quality tables belong in clearly labeled supplementary materials that carry the detail that would otherwise slow the main narrative.

Declarations and ORCID: Draft the Author Contributions (by initials), Funding, Data Availability, Conflicts of Interest, and, where human or animal subjects are involved, the Institutional Review Board and consent statements before you upload. These are pre-check gates at MDPI, not post-acceptance paperwork. ORCID is expected for the submitting author, and the SuSy system will ask for suggested reviewers in the relevant water subfield.

In our pre-submission review work with Water manuscripts, four failure patterns generate the most consistent pre-check returns and reviewer friction, and each one is testable against your own draft before you upload.

The four desk-rejection triggers we see most often are the single-site description (a careful study of one catchment, reservoir, or aquifer with no finding another basin could reuse), the unvalidated model (a calibrated model presented as validated), the "yet another treatment" study (one more adsorbent or membrane inside the range the cited literature already reports), and the relabeled paper (an environmental-chemistry or process-engineering study with a thin water label bolted onto the abstract).

Across our water-resources pre-submission reviews, the pattern that surprises authors most is that the Water pre-check is not a quality filter in the flagship sense; it is a scope-fit, soundness, and completeness filter. The manuscripts that get returned fastest are rarely bad measurements. They are competent studies whose generalization claim, model validation, or scope framing is not ready for a fast, template-driven screen. Manuscripts coming through pre-submission review for Water split cleanly along these four lines.

Single-catchment descriptive study with no transferable insight

The most common pattern is a manuscript that documents one catchment, reservoir, aquifer, or monitoring site in careful detail and stops there. The data are clean, the figures are tidy, and the contribution is "here is what we found at this location."

Water is section-based and soundness-driven, but the editor still has to place the work as a contribution to hydrology, water quality, or water resources. A pure site description does not generalize.

Run this test before upload: read your abstract and conclusions and ask whether a hydrologist working in a different basin would change anything they do after reading your paper. If the only takeaway is local, rebuild the abstract and introduction around the method, model, or mechanism another site could reuse.

Check whether your Water study reads as transferable from the abstract ->

Model application with calibration but no independent validation

The second pattern is a hydrological or water-quality model that is calibrated and then presented as validated when it is not. The paper reports a strong fit, but the fit is to the same record the model was tuned on, with no split-sample period, no ungauged or independent site, and no holdout.

Reviewers in water resources are trained to look for this immediately, and the pre-check editor screening methodology often catches it first. The testable version: find every goodness-of-fit number in your paper and confirm that at least one of them comes from data the model never saw during calibration.

If the calibration and validation periods use the same data, the model section is not ready. Carve out an independent validation set before you submit.

Check whether your Water model section separates calibration from validation ->

"Yet another treatment" with no advance over the existing literature

The third pattern shows up in water-quality and treatment submissions: a study that tests one more adsorbent, membrane, coagulant, or removal process on one more contaminant, with results that fall inside the range the existing literature already reports.

The chemistry may be sound and the removal numbers may be real, but there is no advance, no mechanism that was previously unclear, and no condition under which the result changes practice.

The testable version: state in one sentence what a practitioner or researcher could do differently because of your result that they could not do from the papers you cite. If you cannot, add the missing mechanistic or comparative analysis, or reframe around the specific condition where your result diverges from prior work.

Check whether your Water treatment study states a real advance ->

Scope drift into pure environmental chemistry or pure engineering

The fourth pattern is a manuscript that belongs in an environmental-chemistry or a process-engineering journal but has been pointed at Water because of turnaround speed or APC. The water angle is a label on the abstract, while the body is a synthesis-and-characterization study or a reactor-design study with no water-resources, hydrology, or water-quality question driving it.

The pre-check editor, who screens scope first, redirects these fast. The testable version: ask whether the central question would survive if you removed the word "water" from the title.

If the study is really about a material, a catalyst, or a reactor, and water is the medium rather than the subject, it is scope drift. The fix is an honest reassessment of whether a water-resources journal is the right venue at all.

Each of these is something you can check against your own draft before you commit the submission. This guide tells you what Water editors look for; the review tells you whether YOUR paper passes the pre-check before you upload.

Across more than 40 manuscripts in water resources, hydrology, and water quality that Manusights has reviewed for authors deciding between Water and its open-access and subscription peers, the transferable-insight and model-validation patterns above accounted for most of the early returns we flagged.

Paid Manusights reviews include a 60-day money-back guarantee, and we do not train models on submitted manuscripts. Run a Water submission package check to see whether your scope framing, model validation, and data statements will clear the MDPI pre-check.

The hidden trade-offs of the MDPI speed model

The fast timeline is real, but it carries fine print worth knowing before you commit. Three caveats that slow authors down or catch them off guard:

First, the speed cuts both ways. The same fast, template-driven pre-check that returns a clean in-scope study in days also returns an incomplete or scope-thin one just as fast. A missing data availability statement can cost a full cycle rather than trigger a polite query.

Second, the APC is payable only on acceptance, but it is non-trivial. Authors sometimes discover late that their institution's open-access fund does not cover MDPI titles.

Third, MDPI's volume and special-issue model means perceived prestige varies by field and by reviewer. A study that needs a flagship imprint for tenure or grant purposes may be better served by a slower, more selective venue even when Water would accept it. None of these is a reason to avoid the journal; they are reasons to decide with open eyes rather than on turnaround alone.

Water reports a median first decision near 19 days and median acceptance-to-publication around 2.7 days for recent papers. Treat these as planning ranges, not promises: data-heavy modeling studies and multi-site field campaigns often run longer because reviewer search takes time in specialized water subfields.

• Day 0: Submission via SuSy. The portal accepts the package and notifies an academic editor to perform the editorial pre-check.

• Days 1 to 3: Editorial pre-check. The academic editor screens scope fit, scientific soundness, methodology correctness, reference relevance, and ethics. Plagiarism and integrity checks run here, partly automated through SuSy.

The fastest returns happen at this stage, before any reviewer is invited.

• Days 3 to 7: Reviewer invitation. Manuscripts that pass pre-check enter single-blind reviewer search, typically targeting two or more reviewers in the relevant hydrology, hydrogeology, or water-quality subfield.

• Days 7 to 19: Peer review and first decision. Reviewer reports return and the editor issues the first decision, with a median near 19 days from submission.

Major revision is the most common outcome for papers that clear pre-check, and model-validation and generalization concerns are the most common revision requests.

• Days 19 to 40: Revision and acceptance. Revisions are usually requested on a short clock; resubmission and a second review cycle commonly land acceptance inside a few weeks for in-scope, complete packages.

• **Days 40 to 43:

Production and publication.** Acceptance to publication runs near 2.7 days at median, so the slow part of the calendar is reviewer search and revision, not production.

This guide was researched and built from primary sources: the sources we checked include the Water Instructions for Authors, the journal's aims-and-scope and section pages, MDPI's editorial-process and research-and-publication-ethics pages, the journal's published timeline statistics, and Manusights pre-submission review patterns from water-resources, hydrology, and water-quality manuscripts deciding between Water and its peers. We compared current MDPI author guidance with recent Manusights review patterns from authors weighing Water, Journal of Hydrology, Water Research, and Hydrology and Earth System Sciences. Last reviewed by the Manusights environmental editorial team on 2026-06-07.

Source limitations: MDPI can update the APC, article-format details, abstract guidance, and editorial-process numbers after this review date, so verify final administrative details against the official Water author pages before upload. Median timelines are reported by the journal and vary by subfield. Use this guide for the decision the official instructions cannot answer: whether your scope framing, model validation, and data statements are ready for the MDPI pre-check.

• Water (MDPI) journal profile and metrics
• Water Research submission guide
• Journal of Hydrology submission guide
• Science of the Total Environment submission guide
• Best environmental science journals
• Rejected from Water Research, where next?

Before you upload, run your manuscript through a Water submission readiness check to catch the scope, validation, and data gaps the MDPI pre-check filters for. The check is free to run (/ai-review) and takes a single upload.